GTM for Early Stage SaaS | Co-founder @ Datapad | SaaS Growth Advisor | Reforge | 1x Exit |

I’m a marketer, 2x entrepreneur with 1x exit, and helped companies to go from 0 to 8 figures.

My achievements:

- Built 2 VC backed startups with one exit

- Built a 7 figure productized marketing agency

- Became a mentor in top accelerators such as: 500, Plug and Play, Techstars

- Got to work with the portfolio companies of amazing investors such as A16z, Craft Ventures, YC

- Built a podcast with 20k downloads in a year-figure

- Transformed my body more times than Christian Bale ☺️

John Ozuysal

Apparently, according to someone’s lead list, I’m a high-performing woman.

Here is why:

“We help high-performing women like you.” - This is the email I got

I wonder where they got the list? Or maybe personalization is having a rough day.

Oh well, at least I am "high performing" so thank you for that 🤣

🚨Hiring: House of Growth - AI Led Growth Agency is growing, and we are looking for 2 new roles 🚨

1️⃣ GTM Engineer

We’re looking for a GTM Engineer who will work on:

Internal campaigns for House of Growth on email and LinkedIn to expand our reach. This will be a mix of:

- Signal based plays
- Cold outbound

Important:

 👉 Please reach out only if:

You’re really good with Clay
You’ve run outbound campaigns before
Bonus points if you’ve worked with agencies or done outbound for agencies
This is a hands-on role for someone who enjoys building systems, testing channels, and scaling what works.

2️⃣ Content Marketer (Internal Role)

We’re also hiring a Content Marketer to work on (internal brand, not client work).

You’ll focus on:

Research-driven content
LinkedIn content
Thought leadership pieces

This is not a client-facing role, and you will be doing content only for House of Growth

📩 Interested?

Send me a DM and tell me:
Which role you’re applying for
Why you’re a good fit

Both roles could be PT and FT

Looking forward to meeting sharp builders and thinkers.

Here’s how we helped a B2B SaaS client increase their AI citations by 21% and improve positions by 37% in just one month.

One thing I really like about AI search compared to traditional SEO is speed.

If you play your cards right, results come much faster.

The problem:

This client wasn’t struggling with visibility. Their brand was already well known.
The real issue was how AI systems were describing them.

When we analyzed AI-generated answers about their company, we noticed:

- The positioning didn’t match how they wanted to speak to prospects
- Product details were inaccurate or incomplete
- Most information was pulled from outdated sources (old blog posts, Reddit threads, and G2 reviews)

In short: AI didn’t understand their current product.

What we did:

Step 1: Identify the prompts that matter

We mapped the exact prompts they wanted to “win” in AI search, including:

Product overviews
Integrations
Competitor comparisons
Pricing-related queries

Then we created focused, high-quality content specifically for those prompts.

Step 2: Fix brand confusion with an AI info page

We discovered that AI was confused about their brand, products, and features.
So we created a dedicated AI-friendly information page that clearly explained:
What the company does
Core products and features
Use cases and positioning
This gave AI systems a reliable, up-to-date source to crawl and reference.

Step 3: Clean up outdated third-party information

We found multiple external articles and reviews sharing outdated or incorrect info.

Actions we took:

Reached out to publishers and requested corrections
Identified outdated G2 reviews
Launched G2 review campaigns to reflect the current state of the product

The result (in 30 days)
📈 +35% increase in citation rate
🚀 +21% improvement in AI search positions

Key takeaway:

AI search isn’t just about visibility.
It’s about controlling the narrative.
If AI doesn’t have accurate, up-to-date information about your product, it will fill the gaps with whatever it can find—even if it’s wrong.

And that’s where the opportunity is.

Thank you, Scrunch, for making it easy for us to track this

AEO/GEO is not the same as SEO 

Microsoft confirmed this with the latest playbook they released 👇

Without going into too much technicality below are some of the remarks that got my attention:

"In shorthand, the industry is talking about shifting from SEO to AEO and GEO. At Microsoft, we believe SEO and catalog investments built a foundation to expand upon in LLM-based search"

"The base remains the same: up-to-date product feeds and clear, crawlable, structured content. But retailers and brands must now treat their entire catalog and site architecture as content, ensuring every product detail, benefit, and price signal is machine-readable, up to date, and context-rich"

"Traditional SEO remains essential because AI systems perform real-time web searches frequently throughout the shopping journey, not just at purchase time, and your site must rank well to be discovered, evaluated, and recommended."

"If SEO focused on driving clicks, AEO is focused on driving clarity with enriched, real-time data. GEO helps establish credibility through an authoritative voice. "

"CMOs need to ensure AI correctly understands and elevates,brand differentiators. Growth and performance leaders must adapt to AI-led. Digital and e-commerce leaders should plan new metrics for AI-intermediated journeys. CTOs must make the stack AI-readable and AI-accessible. Data and analytics leaders need strategies for the ‘invisible’ early-funnel research happening inside AI conversations." - CONTENT TEAM SHOULD NOT BE IN SILOS ANYMORE

Microsoft AEO Playbook

If I were a CMO of a B2B SaaS company…”

👇
But you’re not.

And honestly, that’s where most advice falls apart.

Stop telling people how to do things you’ve never actually done.

If you really want to be something, go be it first.

This is no different from people selling courses on how to make $1M
when they’ve never made it themselves.

Experience beats theory.

Execution beats opinion.

Results beat credentials.

If you haven’t walked the path, don’t sell the map.

I recently attended a founder dinner in Dubai, and a few patterns stood out. 

Sharing my observations around GTM:

1️⃣ Investment often feels easier when it is visible.

Merch, events, and branding are tangible and familiar, which makes them easier to justify. Companies are willing to invest in merch and traditional offline events, but not so much in channels such as content, community, ABM, etc.


2️⃣ Demand generation often comes before demand capture.

Many teams are excited to explore PR or paid social early on.

What is sometimes missed is fully capturing existing demand first through intent driven or signal based channels before expanding into broader awareness efforts.

 Both approaches matter. Sequencing changes efficiency.

3️⃣ Acquisition is heavily relied on paid

Many teams start with paid acquisition and end up relying on it almost exclusively.

 As ad costs rise, this naturally creates pressure and stress. Without diversification, there is also uncertainty around what happens if the channel changes or performance drops.


 4️⃣ Product market fit is discussed often. Message market fit less so.

 A lot of energy goes into building the product, followed by scaling acquisition.

What is easy to skip is validating whether the messaging resonates with the intended ICP, especially with cold audiences.

When that validation is missing, channels can look ineffective when the opportunity is really in the narrative.


There is an incredible amount of talent here, and the quality of builders and operators in this ecosystem is genuinely impressive. I am really enjoying the conversations and the openness to share and learn.

If you are around Dubai and open to a coffee and a thoughtful growth conversation, I would love to connect.

The intent data told us they raised a Series A.

What it didn't tell us: where they're actually bleeding cash.

"Recently raised Series A" - yeah, so did 47 other vendors in their inbox.

"Just hired a CMO" - congratulations, you and every other growth agency just sent the same pitch.

We were competing on speed, not relevance.

So we built something different.

Our internal tool doesn't just pull signals. It stacks them.

Series A in last 6 months? Cool. Everyone knows that.

But Series A + running Google Ads + zero organic traffic for their keywords + no competitor comparison pages?

Now we're talking.

That's a company burning cash on paid because their content strategy doesn't exist. That's someone who needs what we actually do.

The tool creates an AI agent that hunts for these signal combinations. The ones we define. The ones that actually matter to our specific service.

Our list went from 2,000 "warm leads" to 47 companies.

But those 47 companies? They actually respond.

Because when you reach out, you're not pitching.

You're diagnosing a problem they didn't realize they had.

We've tried everything. Content. Cold email. Mass outreach. Paid ads.

This signal-based ABM is crushing all of it on ROI. (No random ABM)

Not because the list is bigger.

Because the list is real.

🚨 Hiring 2 FT or PT GTME to work with me 1-1

👇

I do hate writing job descriptions, but here's the TL;DR 😀 

You'll work directly with me to build the internal growth engine for House of Growth. We will do some cool stuff together if you are committed

Below is your typical formal JD (boring)

Expectations:

Build and run full outbound and warmbound GTM motions for House of Growth

List building to enrichment to copy that converts to launch to optimization to results

Work one-to-one with John as a GTM operator

Your output is meetings, pipeline, and insights to scale

Monitor deliverability, domain health, warmup and performance

Provide weekly performance reports and tactical recommendations

Route all warm and hot prospects directly to John

What You Need:

Expert level Clay skills

Workflows, enrichments, AI formulas, API integrations, waterfall enrichment, scoring logic and cost efficient data pulls through tools like SimilarWeb, Ahrefs and Adyntel

Strong list-building ability

You understand how to segment by ICP, triggers, signals and verticals

Strong cold email copywriting skills

Data-driven mindset

You understand reply rate, positive reply rate, meeting rate, and how to move each metric

Real GTM experience

This role is not for someone learning Clay or outbound for the first time

Autonomous operator

You can build, launch, and optimize without hand-holding

Application link under comments 👇

Send me your best stuff and we will see

Here is how we increased AI search visibility around buying intent prompts from %26 to %48 in 3 months only👇

1️⃣ Identified the most cited pages and updated them

Before we did updates at scale, we prioritized the most cited pages because we don't want AI to be fed with outdated information

2️⃣ We refreshed all of the decaying content

LLMs strongly favor fresh and accurate content.

We started simple:
• Updated publish dates
• Updated titles and dates inside titles
• Removed outdated stats, features, and claims
• Republished quickly
Then we went deeper:
• Took the main keyword
• Turned it into a prompt
• Searched it in ChatGPT
• Extracted follow-up questions people were asking
• Added those as new H2s and H3s
• Added internal data or external data (stats, quotes etc..)

 3️⃣ Reddit mentions

We identified Reddit threads already influencing AI answers for our target prompts.

What we did:
• Commented with genuinely helpful answers
• Pushed comments to the top
More third-party visibility → more AI citations → faster lift.

4️⃣ We fixed inaccurate AI narratives about the brand

AI was already citing the company, but with wrong information.

So we:

• Identified which URLs influenced AI answers
• Found outdated pricing and features
• Reached out to those publishers
• Corrected the source data

AI search is not just about visibility.

It’s about controlling your narrative.

 5️⃣We rebuilt comparison content for AI consumption

The listicles looked fine visually, but were semantically weak.

Fixes:
• Converted image-based tables into HTML
• Expanded rows to match real buyer comparison questions
• Added future-proof attributes
• Benchmarked tables against what AI already outputs

6️⃣ We improved the structure for humans and models

Across BOFU pages:
• Added TLDR sections right after the intro
• Added Q&A-style supporting articles
• Cleaned internal linking
This improved readability, extraction, and reuse in AI answers.

7️⃣ We optimized entities at scale

For every article:
• Intro
• Outro
• Every important H2
We identified missing and weak entities and reinforced them naturally.
This helps AI understand context, not just keywords. 

8️⃣ Brand mention campaigns 

We used Scrunch to pull all the relevant mentions for us. Our internal tool identified whether those pages are landing pages, reddit thread or listicles etc... 

Then our agent scraped the contact information of authors we want to reach out. After this step, we started a campaign to get mentioned on the listicles. Since we also run the GTME department inside House of Growth - AI Led Growth Agency it wasn't hard to scale outreach campaigns

We also repurposed some of the articles we did as LinkedIn articles - this is a new experiment we are doing after seeing LinkedIn articles starting to be picked up by LLMs. I will report on this when we have more data

If a company hasn’t invested in AEO, where should they start?

👇

Start by diagnosing the problem.

Before creating any content, figure out whether the issue is visibility, representation (citation control), or both.

Later-stage companies usually already have visibility. The risk is how they’re being represented.

 AI search often pulls from competitor blogs, old Reddit threads, reviews, and third-party posts that don’t reflect the company’s current narrative.

The first step is to identify the URLs influencing AI answers and audit them for accuracy.

In parallel, build earned content quickly so AI systems learn from the company’s own materials, not someone else’s.

Earlier-stage companies typically have a visibility problem and a representation problem.

Start by mapping the prompts you want to win, then identify which URLs currently influence those prompts (often listicles and Reddit threads).

From there, focus on earned visibility by participating in those conversations and getting included where influence already exists.

Once there’s more budget, expand into creating content designed to compete for broader, category-level prompts.

"SEO isn't expensive. Being invisible when your ICP is choosing vendors is

👇

Many start-up founders are hesitant to invest in SEO/AEO as a growth channel.

This is because of the stigma that it takes too much time to see results, and that there is a high upfront cost before results properly compound.

Even though this might be true for competitive niches, not being a part of the conversation when your ICP is making decisions and creating shortlists is going to cost you in the long-term.

SEO as a growth channel has turned from 10 blue links to demand capture and narrative control as a whole.

The demand capture aspect is that you can compete for the #1 recommendation spot in AI search engines while also competing in organic Google.

The narrative control aspect is that, in the long run, you're going to be the go-to option when someone is searching for an alternative to your competitors or a solution like yours.

Being invisible is not expensive, but it can cost you in the long run when your competitors have an established presence while you're still in the situation of putting money into getting money out with paid ads, conferences, etc.

Below is an excellent case study of one of the companies we work with, Warmly, which invested in SEO and AEO early and is now seeing it as one of its most efficient channels from an ROI perspective.

The ROI comes from them appearing for their main category keywords when people search for them, and also from the fact that Warmly is also in the recommendation options for most of their direct competitors.

Sharing the image below from maximus greenwald post

If you’re a B2B SaaS company, there’s one thing you can do that will improve your visibility in AI search and increase conversions from paid ads

That move is building category landing pages mapped to specific ICPs and use cases.

Most SaaS companies stop at a single category page.

Project management software. CRM. Analytics platform.

That’s no longer enough.

Instead, break the category down by context.

For example, instead of one generic project management software page, create pages like:

 Project management software for real estate
 Project management software for finance
 Project management software for education

Now you are not just targeting a category keyword.

You are mapping that category to a clear buyer and use case.

You can take this one step further.

Beyond industry pages, create pages based on how the product is actually used:

 Project management software for offline teams
 Project management software for managing client projects
 Project management software for cross-functional collaboration

This helps in two ways.

First, for AI search and AEO.

These pages send clear signals about where your product fits. Long-tail, intent-driven pages are much easier for LLMs to surface than a generic homepage.

Second, for paid ads and conversion.

If you are bidding on these keywords but sending traffic to a generalized page, you are leaking revenue.

When someone clicks an ad and lands on a page that exactly matches their intent, friction drops and conversion improves.

Right now, we are testing this ourselves at House of Growth - AEO Agency

 We are building dedicated landing pages for each ICP and use case.
 We are also testing the same strategy using list-style content.

The goal is to see which format drives better AI search visibility and stronger conversion.

One thing is already clear.

If you are paying for traffic and not mapping it to specific ICP pages, you are not just missing the AEO upside.

You are leaving money on the table.

Everyone is obsessing over being visible in AI search.

But that’s only half the battle.

The real question is:

 👉 Is AI representing your product the way you would in a sales call?
Here’s the uncomfortable truth.

 AI doesn’t invent opinions out of thin air.

 It summarizes what already exists on the internet.

So if the internet has outdated, incomplete, or flat-out wrong information about you,

AI will confidently repeat it.

What I’d do instead 👇

1️⃣ Take 20 to 30 high-intent prompts you care about
 (for example “best X software,” “X alternatives,” “tools for Y teams”).
2️⃣ Run those prompts through an AI search analysis tool.
3️⃣ Look at which domains influence the answers.

Most of the time, it’s:

“Alternatives to” blog posts

Category listicles

Third-party reviews written one to three years ago

4️⃣ Ask one simple question:

 Are we mentioned there, and is the information accurate?

What you’ll usually find:

Old positioning
Wrong ICP
Outdated pricing
Missing features you launched years ago

“Competitor alternative” posts that no longer reflect reality

This is where the real work starts.

You have to:

Reach out to those publishers
Point out factual inaccuracies
Provide updated, verifiable information

Make sure AI isn’t selling the wrong version of your product on your behalf.

Because if AI is your new first sales touchpoint, you want it telling your story, not a 2022 version of it.

Why you don’t show up in AI search?

Here’s the simplest answer:

You have no content.

And nobody knows, mentions, or talks about your brand.

That’s it.

AI systems don’t “discover” brands magically.

They reflect what already exists on the internet.

Once you accept this, everything else makes sense.

Only then do details start to matter:

Entity optimization
Query fan-outs
Topical authority etc..

Is AI search describing the product you sell today, or the one you sold two years ago?

Most Series A SaaS teams think:

“Great, AI already knows about us.” - but this is just the beginning of the battle 

You can show up in AI answers all day long, but if that information is coming from competitors, outdated blog posts, or inaccurate third-party sources, you’re still losing.

So how do you fix it?

1️⃣ Own the narrative

Start by writing about:
Your product (clearly and repeatedly)
Your positioning vs. competitors
The exact questions buyers ask AI today

Host this content on your blog so AI has fresh, authoritative sources to pull from.

2️⃣ Fix the ecosystem

Next, audit where AI is getting information about your product:

Old reviews
Comparison articles
Blog posts from 2022–2023
Third-party publishers with outdated takes

Then reach out and say:

“This information about our product is no longer accurate. Here’s what we do today.”

This is exactly what we’re doing right now for a Series B SaaS company:

They already have AI visibility

But AI is describing a 2023 version of their product

So we’re publishing updated owned content and correcting misinformation across third-party sources

Winning is not just about visibility, it's also about controlling the narrative

Sometimes I take sales calls even when I know the person is not qualified.

Before you think that’s dumb, let me explain.

I don’t do this all the time.

I only do it when I have spare time and when I genuinely believe I can add value.

Why?

Because I’ve been in their shoes.

Ten years ago, I didn’t know anything about SaaS marketing or marketing in general. I just wanted to talk to people, learn, and get guidance. But the response was often:

“You can’t talk to me unless you can afford it.”

And I couldn’t.

I remember how bad that felt.

Even worse, I remember being sold services I didn’t need by people who just wanted to close a deal. I spent money I couldn’t afford, followed advice that wasn’t right for my stage, and it set me back.

That experience stayed with me.

So today, when someone books a call and I know my service isn’t right for them, I sometimes still take the call.

Not to sell.

But to tell them not to buy.

This happens more often than you’d think.

People want to work with me because they like my content or profile, and I tell them:

“You don’t need us.
 You don’t need any agency at this stage.
 You need to do something different.”

Could I take their money? Yes.
 Do I need to? No.

I’m fortunate. My businesses are doing well. I have healthy cash flow. I don’t need a few thousand dollars from someone if I know it won’t help them.
Instead, I spend 20 to 30 minutes guiding them in the right direction.

I don’t make money from that call.

But I gain trust.

And very often, that call becomes the start of a real relationship.

Years later, I’ve had people come back and say:

“You helped me when you didn’t have to.
 We just raised 50M and now I want to work with you.”

Not everything is transactional.

It’s easier to say this when you’re in a comfortable position, but still:

Don’t be a predator.

Don’t sell to people who don’t understand marketing just to make quick money.

They’ll churn.

And they’ll remember you for the wrong reasons.

Play the long game.

ChatGPT ads are coming. Paid search just entered the chat.

Ads are reportedly coming to ChatGPT’s free tier and $ 8-per-month tier, appearing as sponsored placements at the bottom of search results.

Testing is expected to start in the US as early as next week.

What’s most interesting to me isn’t the ads themselves, but the shift in perception:

How will users interpret AI responses when ads are present?

Where does trust begin and end when answers and ads live in the same interface?

Does this blur the line between assistance and influence?

At House of Growth - AI Led Growth Agency, we’re already thinking about how brands can leverage GEM to capture full demand inside ChatGPT before this becomes as competitive and expensive as Google Search.

Really curious to see how this reshapes organic search as we know it.

👉 Link to the announcement in the comments.

You don’t find message–market fit from 30 days of LinkedIn posts

Some people are claiming you can find message–market fit by posting on 

LinkedIn for 30 days and running a few events.

I strongly disagree.

Here’s why 👇

First, you don’t control distribution on LinkedIn.

You don’t choose who sees your message. That alone makes it a weak environment for validating whether a specific market resonates with a specific message.

Second, likes are not validation.

Getting 20–25 likes on a post doesn’t mean people resonate with the problem you’re solving—let alone the product you’re selling. Engagement ≠ intent.

Message–market fit requires scale and signal, not vanity metrics.

This is why I prefer email for message testing:

I control who receives the message

I can test fast
I can test at scale
I typically send a message to 1,000 targeted contacts.

 If there’s a strong response there, then we might be onto message–market fit.
There’s also a bias problem people don’t talk about.

When you validate ideas on LinkedIn—especially with a warm audience—people want to be polite.

 They know you. They don’t want to shut you down. So they say, “Yeah, this is interesting,” even when they wouldn’t buy.

A cold reply from someone who doesn’t know you?
That signal matters far more.

So yes—post on LinkedIn. Build authority. Start conversations.
 
Just don’t confuse content engagement with message–market fit.
They are not the same thing.

If you are a B2B SaaS company and you are still using clicks as your primary search KPI, you are measuring the wrong thing.

That approach is old school, and search has moved on.

Search today, especially in the AI era, is less about clicks and more about visibility and influence.

Here is how we think about it in the House of Growth - AEO Agency

1️⃣ Visibility on high intent prompts

We start by identifying the bottom of the funnel, high-intent prompts. These are the prompts that actually matter for revenue.

For each prompt, we track a simple but powerful signal.

Is our brand mentioned, yes or no?

If you are not visible when buyers are actively evaluating solutions, clicks do not matter anyway.

2️⃣ Position in the response

Not all visibility is created equal.
The next question is whether we are mentioned at the top, in the middle, or at the bottom of the answer.
Being listed first dramatically increases exposure. This is very similar to ranking first in a top tools listicle, where the brands at the top receive the most attention.

3️⃣ Citations and narrative control

This is the most overlooked metric.

We track whether AI is citing our content when mentioning us, or whether the narrative is coming from third party sources like G2 reviews, old Reddit threads, or competitor blogs.

Citations matter because they determine who feeds AI the source of truth about your brand.

You do not want a situation where you have visibility, but the story about your product is written by everyone except you.

The takeaway

Modern search KPIs for B2B SaaS are no longer about traffic volume.
They are about being present in the right prompts, being visible at the top of answers, and being the primary source that AI trusts for information about your brand.

Clicks are a lagging indicator.

Visibility is how demand is captured today.

Stop letting your competitors control the narratives inside ChatGPT

👇

ChatGPT isn’t "hallucinating" about your SaaS. It’s improvising because your website is a ghost town. You are not training AI with your own story.

Here’s the harsh reality:

LLMs are prediction engines. When you leave gaps in your digital footprint, the models fill them with whatever they can find: competitor comparison pages, angry Reddit threads, or 3-year-old press releases.

If you want to control the narrative in the age of AEO (Answer Engine Optimization), you need to spoon-feed the models.

You need to move beyond marketing fluff and build a "Source of Truth" architecture.

Here are the 3 types of pages I would build today:

- About us: Make sure that it's very clear on what your company is doing, who is your ideal ICP etc. Avoid using fancy language to impress your investors.

- Comparison pages: Control the narrative by owning the comparison-related queries. If you don't do this, someone else will do it, and AI will spit out the wrong information about your company.

- Integrations page: People don't just search "best project management software anymore; they search " best project management software with integrations to x". It's time to surface your integration docs and make them visible to search

If you don't provide the language, the model will generate its own. And I guarantee you won't like the version it writes.

Andrew Bolis

Influencer (700+ Brand Collabs) 🧠 AI & Marketing Consultant 📢 Former CMO 📩 DM for Influencer Partnerships ➡️ Follow for AI & business growth tips.

⭐ Brand Partnerships & Influencer Marketing: I partner with companies to promote their products to my 464k followers across LinkedIn, X/Twitter & Email Newsletter. I've previously partnered with Notion, HubSpot, Upwork, ClickUp, Miro, Semrush, Instantly, Clay, Lemlist & Gamma.

💬 DM me "COLLAB" to learn more!

---

⭐ AI & Marketing Consulting: 

I help companies leverage AI to optimize their marketing and sales. 

● Generate more qualified leads and sales opportunities
● Close more deals and shorten your sales cycle
● Grow your revenue while cutting costs

💬 DM me "AI" to learn more!

---

⭐ My Career Highlights: 
● $210M in attributed revenue from marketing campaigns
● 15 yrs of marketing leadership experience (Mngr/Dir/CMO)
● Drove revenue growth from Series A to E stages at startups
● Built & led global teams of up to 20 people across NA & EU
● Managed global expansions (NA, EU, LATAM) & acquisitions
● Established product as a Leader in Gartner Magic Quadrant
● Focus: Demand Gen, Digital Mktg, Content Mktg, Sales Dev
● Verticals: SaaS, MarTech, EdTech, Supply Chain & Logistics

Fractional CMO, Marketing Consultant & AI Strategist

I help companies leverage AI to optimize their marketing and sales. 

● Generate more qualified leads and sales opportunities
● Close more deals and shorten your sales cycle
● Grow your revenue while cutting costs

💬 DM me “AI” to learn more!

Visit my website (at top of my profile) for free resources.

- - -

My previous consulting gigs and contract work:

💼 Fractional CMO & Head of Marketing at The Virtual Hub (July 2023 - September 2023)

The Virtual Hub provides virtual assistants and offshore staffing services for businesses. It's a 350-employee company that's bootstrapped and profitable. 

💼 Marketing Strategy & Growth Consultant at Upshift (March 2023 - May 2023) 

Upshift connects people with businesses in need of extra staff. Upshift is trusted by 1600+ businesses across 25+ cities for staffing hourly workers. 

Upshift customers: Compass Group, American Airlines Arena, InterContinental Hotels Group, Six Flags, Victoria's Secret, Cedar Fair, Delaware North, Hard Rock Hotel & Casino, Hyatt, Kroger.

💼 Fractional CMO / VP of Marketing at Packback (February 2023 - April 2023)

Packback is an EdTech company that uses AI to help educators implement high-quality teaching methods at scale. 

Packback customers: Michigan State University, Maricopa Community Colleges, University of Illinois Urbana-Champaign, SUNY - The State University of New York, Ivy Tech Community College, FSCJ - Florida State College at Jacksonville, HACC, UNT - University of North Texas, Minnesota State, Miami Dade College.

Google offers several powerful AI tools for free. 

They’re useful for professionals, creators, and businesses trying to use AI. 

From content to visuals to coding, they simplify how you work and enhance your creativity. 

Here are 11 free AI tools from Google (and how to use them): 

[remember to 🔖 save this post for later]

1. Firebase Studio: Use AI to quickly build and launch websites or apps.

2. Veo (Video Generation): Create video clips or animations from simple text prompts.

3. Gemini Ask on YouTube: Chat with videos to get quick answers, chapters, and insights.

4. Gems in Gemini: Build custom AI assistants using files, data, and instructions.

5. Nano Banana (Editing): Edit and refine AI images into creative new variations.

6. Gemini in Google Sheets: Generate text, formulas, and insights within spreadsheets.

7. Google App Builder: Build apps quickly with prompts or templates (no coding needed).

8. Media Generation (Imagen/Nano Banana): Create images from short, simple prompts for instant visuals.

9. Gemini Live (Stream): Host live AI chats with screen sharing for meetings and presentations.

10. Google AI Studio: Test Google models, adjust settings, and compare prompt results side by side.

11. NotebookLM: Turn sources into summaries, mind maps, audio/video overviews, and quizzes for learning. 

Don’t overpay for AI tools. Use Google’s tools for free. 

Start building, creating, and exploring today.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4  

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Stop blaming ChatGPT for low-quality responses. 

Bad output results from poorly written prompts. 

Here are 9 prompt frameworks for expert-level results: 

[ remember to save 🔖 this post for later ]

1. R-A-C-E
➟ Role: Set the role ChatGPT should take (editor, coach, etc).
➟ Action: Describe the tasks/actions ChatGPT should perform.
➟ Context: Add key background details for clarity.
➟ Expectation: State what result or output you want.

2. R-I-S-E
➟ Role: Set the role or persona ChatGPT should act as. 
➟ Identify: Highlight the main issue or challenge.
➟ Steps: Outline the actions needed to reach the goal.
➟ Expectation: Describe what the final output should be.

3. S-T-A-R
➟ Situation: Describe the background or setting.
➟ Task: Explain the goal or challenge involved.
➟ Action: Share what steps were taken.
➟ Result: State the outcome of those actions.

4. S-O-A-P
➟ Subject: Describe the main subject or issue.
➟ Objective: State the purpose of the interaction.
➟ Action: Explain what steps will be taken.
➟ Plan: Present a solution or a plan.

5. C-L-E-A-R
➟ Context: Provide a brief background for the task.
➟ Learn: Clarify what needs to be learned or understood.
➟ Evaluate: Define how progress or results will be measured.
➟ Action: List the steps required to complete the task.
➟ Review: Recap the outcome or key takeaways.

6. P-A-S-T-O-R
➟ Problem: State the issue that needs solving.
➟ Amplify: Highlight why the issue matters.
➟ Story: Give a quick example or case.
➟ Transformation: Show the change the solution brings.
➟ Offer: Share the proposed solution.
➟ Response: Recommend the next action.

7. F-A-B
➟ Features: List the key features of the product or idea.
➟ Advantages: Explain what those features help you do.
➟ Benefits: Show how they create real value or results.

8. 5-W-1-H
➟ Who: Identify the people involved or affected.
➟ What: Define the main issue or challenge.
➟ When: Mention the relevant timeframe.
➟ Where: Point to the location or context.
➟ Why: Explain why it matters.
➟ How: Describe how to solve it.

9. G-R-O-W
➟ Goal: Set the goal you want to reach.
➟ Reality: Outline the current challenge or situation.
➟ Options: List possible actions or paths forward.
➟ Will: Identify next steps and commit to them.

Try a framework today to quickly improve your results.

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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AI is changing the way we work and innovate. 

It’s reshaping daily tasks and business workflows.

Here are the top 7 AI models redefining how we build, work, and create.

[ remember to 🔖 save this post for later ]

1. ChatGPT (OpenAI) – Versatile assistant for writing, coding, research, and customer chats. Known for plugins, GPTs, and seamless workflows.

2. Claude (Anthropic) – Prioritizes safety and long-form understanding with a larger context window and ethical alignment at its core.

3. Gemini (Google DeepMind) – Multimodal AI built into Google products, with deep integration across Search, Docs, YouTube, and more.

4. DeepSeek – Open‑source model with large context windows, strong reasoning (math & logic), and efficient inference for cost‑sensitive use.

5. Mixtral (Mistral AI) – Open-weight model using expert routing for faster, cheaper outputs, ideal for developers running custom apps at scale.

6. Llama (Meta) – Open-source, fine-tunable model designed for research and domain-specific adaptation with strong community support.

7. Grok (xAI - Elon Musk) – Real-time AI with X (Twitter) access, bold personality, and strong performance in live, trend-driven conversations.

Speed. Safety. Scalability. Creativity. Each model brings its own strength.

And AI is evolving fast. The winners will be those who keep up.

Save this guide. Share it. Start with one AI tool.

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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Most people try to learn AI in reverse.

They skip the basics and try advanced tools. 

Mastering AI requires a step-by-step approach.

Start simple. Try different use cases. Then build agents. 

Use this 15-step roadmap to go from beginner to expert:

(remember to 🔖 save this post for later) 

1. AI Chatbots
➟ Start with learning LLMs and their core capabilities
➟ Learn prompt engineering fundamentals to get consistent outputs
➟ Learn practical applications in content creation and research workflows
➟ Explore advanced features like plugins and custom integrations
➟ Adapt AI chatbots for business support and idea generation

2. AI Agents
➟ Explore automation with platforms like Make, Zapier, and n8n
➟ Learn how to connect your essential business apps and databases
➟ Build multi-step workflows that automate routine business tasks
➟ Ensure system reliability with proper error handling and optimization
➟ Integrate LLMs into workflows for intelligent automation capabilities

3. Agentic AI
➟ Learn framework basics for agent orchestration and tool integration
➟ Implement memory storage and retrieval using vector databases
➟ Apply multi-step reasoning with chain-of-thought planning approaches
➟ Build collaborative agent teams that solve complex problems together
➟ Run full pipelines with smart decision-making and deployment

In the end, it comes down to one thing:
Using AI to solve real-world challenges.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4  

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ChatGPT is powerful if you know how to use it. 

Learn prompting, models, features & key terms. 

Use this cheat sheet to get more out of ChatGPT. 

[ remember to 🔖 save this post for later ]

1. ChatGPT Models and Features
↳ Covers the main models and what they’re good at.
↳ Includes five built-in tools to boost performance.

2. Prompting Tips and Techniques
↳ 10 simple ways to write better prompts.
↳ Get better answers with less trial and error

3. Prompting Frameworks
↳ 12 plug-and-play prompt formulas
↳ Structure complex tasks without overthinking

4. Prompting Best Practices
↳ Proven methods to guide ChatGPT step by step.
↳ Fix vague answers and sharpen results

5. Key Terms to Know
↳ Explains key AI terms in plain English.
↳ Helps you understand how ChatGPT works.

Save this to upgrade your ChatGPT experience. 

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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Microsoft Copilot can automate hours of work.

It’s a productivity partner built into your tools.

Here’s how to use it across your workflows. 

[ 🔖 save this post for later ]

Copilot handles different types of work:

▶ Automates data analysis in Excel
▶ Writes and edits documents in Word
▶ Builds full presentations in PowerPoint

Most people have Copilot access but don't know what it does (or how to use it). 

Here's a quick guide on how Copilot saves you hours in each tool:

➡️ How to Use Copilot in Excel:

Main features:
▸ Spot trends and outliers in your data
▸ Build formulas and pivot tables from plain language
▸ Clean and organize messy datasets instantly

Example prompt: "Examine this dataset and find the top 5 sales drivers by territory. Build a pivot table with a grouped bar chart."

➡️ How to Use Copilot in Word:

Main features:
▸ Draft documents from a brief or outline
▸ Rewrite and polish content for clarity
▸ Turn long documents into short summaries

Example prompt: "Write a 1-page project brief for [Project] Voice: business formal. Add goals, deliverables, timeline, and action items."

➡️ How to Use Copilot in PowerPoint:

Main features:
▸ Build slide decks from prompts or Word files
▸ Generate speaker notes and design suggestions
▸ Turn text into structured presentations

Example prompt: "Build a 10-15 slide deck about digital transformation for business users: intro, challenge, approach, outcomes, example, roadmap, questions."

Master the workflows once, speed up every project.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4  

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People underestimate the power of good prompts.

Here are 5 frameworks to write effective prompts:

[ 🔖 save this post to upgrade your prompts ]


1. R–T–F
 - Act as a (ROLE)
 - Create a (TASK)
 - Show as (FORMAT)

Example:
- ROLE: You’re a B2B SaaS Product Marketer
- TASK: Create a product launch announcement for an AI-powered CRM feature
- FORMAT: Write a LinkedIn post that explains the new feature’s benefits with a call to action


2. T–A–G
 - Define a (TASK)
 - State the (ACTION)
 - Clarify the (GOAL)

 Example:
- TASK: Redesign our onboarding email sequence
- ACTION: Act as an email copywriter and revise our current 5-email flow
- GOAL: Increase new user activation within the first 7 days by 20%


3. B–A–B
 - Explain problem (BEFORE)
 - State outcome (AFTER)
 - Ask to the (BRIDGE)

 Example:
- BEFORE: Our mobile app has low daily engagement
- AFTER: We want users to return at least 3 times per week
- BRIDGE: Suggest app features, UX changes, and notification strategies to boost engagement


4. C–A–R–E
 - Give the (CONTEXT)
 - Describe (ACTION)
 - Clarify the (RESULT)
 - Give the (EXAMPLE)

Example:
- CONTEXT: We’re organizing a virtual summit for e-commerce founders
- ACTION: Help us design a landing page that converts visitors into event signups
- RESULT: Our goal is to get 1,000+ registrations within 4 weeks
- EXAMPLE: A past success was Shopify’s virtual summit page that combined testimonials, countdowns, and speaker highlights


5. R–I–S–E
 - Specify the (ROLE)
 - Describe (INPUT)
 - Ask for (STEPS)
 - Describe the (EXPECTATION)

Example:
- ROLE: You’re a senior UX designer
- INPUT: We’ve collected user interviews and heatmap data from our checkout flow
- STEPS: Suggest improvements to streamline the flow and reduce drop-off
- EXPECTATION: Our goal is to increase checkout completion rate from 45% to 60%


Good prompts = better results.
Try these frameworks today!

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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People underestimate the power of great prompts.

Here are 5 frameworks you can copy & paste:

[ remember to 🔖 save this post for later ]


1 - R-A-I-N
➟ Act as a (ROLE)
➟ State the (AIM)
➟ Use the provided (INPUT)
➟ Hit the (NUMERIC TARGET)
➟ In this (FORMAT)

R-A-I-N Example:
➟ ROLE: UX design lead
➟ AIM: Redesign e-commerce checkout to lower cart abandonment by 25%
➟ INPUT: Analytics data
➟ NUMERIC TARGET: 25% decrease
➟ FORMAT: Mobile wireframes + conversion metrics table


2 - C-L-A-R
➟ Given the (CONTEXT)
➟ List any (LIMITS)
➟ Describe the (ACTION)
➟ Define the expected (RESULT)

C-L-A-R Example:
➟ CONTEXT: Warehouse delay logs
➟ LIMITS: Focus on the top two causes
➟ ACTION: Quantify impact + propose three fixes
➟ RESULT: One-page memo


3 - F-L-O-W
➟ Specify the (FUNCTION)
➟ Set the audience (LEVEL)
➟ Define the (OUTPUT)
➟ Clarify the (WIN METRIC)

F-L-O-W Example:
➟ FUNCTION: Career copywriter
➟ LEVEL: Recent graduates
➟ OUTPUT: 900-word article with 4 job search tips
➟ WIN METRIC: 1.5% keyword density + CTA checklist


4 - P-I-V-O
➟ State the (PROBLEM)
➟ Provide key (INSIGHTS)
➟ Choose the (VOICE)
➟ Outline the desired (OUTCOME)

P-I-V-O Example:
➟ PROBLEM: Mobile app adoption is slowing
➟ INSIGHTS: Identify friction points + share 3 user insights
➟ VOICE: Persuasive
➟ OUTCOME: Two strategies to regain growth in 60 days


5 - S-E-E-D
➟ Describe the (SITUATION)
➟ Define the (END GOAL)
➟ Supply illustrative (EXAMPLES)
➟ List the (DELIVERABLES)

S-E-E-D Example:
➟ SITUATION: Create a 6-week communication program
➟ END GOAL: Skills in listening, feedback, conflict resolution, presence, alignment
➟ EXAMPLES: Weekly remote-team exercises scored on clarity & impact
➟ DELIVERABLES: Assessment framework + marketing hook


📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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BREAKING: Google launched free AI courses.

Here are 9 direct links to access them:

(No sign-up fees or prior skills required.)

[ save 🔖 this post for later ]


1 - Organize any project with NotebookLM

Learn to centralize project notes, upload sources, use AI to find info, summarize content, and create new docs.

Course: https://lnkd.in/gpcwevsZ


2 - Gemini Gems marketing assistants

Discover how to build, customize, and deploy Gemini Gems for marketing campaigns and strategies.

Course: https://lnkd.in/gaDPqttj


3 - NotebookLM customer insights

Save hours by using NotebookLM to analyze hundreds of customer transcripts from a single file upload. 

Course: https://lnkd.in/gRtHT474


4 - Generate content with Gemini

Beat writer's block using Gemini integration within Google Docs for seamless content creation.

Course: https://lnkd.in/g_aZgTUn


5 - Personalized prompting with Google Workspace

Customize Gemini responses by integrating your Google Drive files into personalized prompts.

Course: https://lnkd.in/g3HXZZD8


6 - Prompting like a Pro with Google Workspace

Master effective Gemini prompting using the Persona, Task, Context, Format framework for precise AI responses.

Course: https://lnkd.in/gfzM6b67


7 - Write faster emails with Gemini

Streamline Gmail workflows with Gemini's 'Help me write' feature for professional emails and customer responses.

Course: https://lnkd.in/gt_bFKet


8 - Market research with NotebookLM

Accelerate market research. Synthesize feedback, analyze competitors, and generate data-driven content ideas.

Course: https://lnkd.in/gvah96km


9 - Introduction to Generative AI

Learn what Generative AI is, how it works, and how it differs from traditional machine learning methods.

Course: https://lnkd.in/gzqt7ehQ


Upskill, increase your productivity, and advance your career!

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4 

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AI adds value to various areas of business.

Each type of AI performs a specific function.

Here are 15 AI applications for business workflows…

And how AI capabilities apply to business use cases:

[ 🔖 save this post for later ]

1. Machine Learning
→ Spot patterns, forecast outcomes, and support decisions with data.
• Forecast revenue, demand, and risk using historical business data
• Automatically classify and route operational information at scale
• Detect abnormal activity tied to fraud, system failures, or risk exposure

2. Neural Networks
→ Designed to interpret complex data like images, voice, and documents.
• Analyze images and video for quality control and product tracking
• Power voice interfaces through speech and audio processing
• Extract structured data from contracts, invoices, and scanned files

3. Generative AI
→ Focused on accelerating knowledge work and content creation.
• Generate text, code, and design assets from natural language prompts
• Automate administrative workflows like email and meeting coordination
• Connect internal data sources to deliver accurate, context-aware answers

4. AI Agents
→ Autonomous systems that execute tasks across business functions.
• Run IT and infrastructure tasks using tools, APIs, and external systems
• Support revenue teams with lead generation and personalized outreach
• Handle customer inquiries and service workflows independently

5. Agentic AI
→ Built for end-to-end execution and process ownership.
• Generate and update code while modernizing legacy systems
• Embed AI directly into products and services as a core capability
• Coordinate multiple agents to automate workflows across teams

Not every business needs the same level of AI.
• Some benefit from forecasting and analysis.
• Others benefit from automation and efficiency.
• And some from coordinated execution at scale.

How is your team using AI today? Share below!

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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Google just launched 20 free AI courses (links below).

Learn practical AI skills, no sign-up required.

Master tools, prompts, and workflows.

[ save 🔖 this post for later ]

1. Gemini Gems: Marketing Sidekick
↳ Build Gemini Gems to automate repetitive marketing tasks.
↳ https://lnkd.in/g67UER6T

2. Customer Insights with NotebookLM
↳ Analyze customer feedback to generate actionable insights.
↳ https://lnkd.in/genaWzxW

3. Easy Content Generation with Gemini
↳ Use Gemini features to create various forms of content and drafts.
↳ https://lnkd.in/gs8gQSG8

4. Pro Prompting in Google Workspace
↳ Apply prompt engineering techniques across Google Workspace apps.
↳ https://lnkd.in/gQpHhmEV

5. Gemini TL;DR for Docs & Drive
↳ Summarize long docs and files using Gemini's summarization features.
↳ https://lnkd.in/g4jUP8ds

6. Personalization with Custom Prompts
↳ Tailor AI output to specific needs with advanced prompt customization.
↳ https://lnkd.in/gvqaw69U

7. NotebookLM for Competitive Edge
↳ Use NotebookLM to synthesize complex info.
↳ https://lnkd.in/gmDU6eZR

8. Gemini Image-to-Sheets Hack
↳ Extract data from images and turn it directly into Sheets data.
↳ https://lnkd.in/gN5xgm3u

9. NotebookLM: "Eat the Frog"
↳ Use NotebookLM to break down difficult tasks into easy steps.
↳ https://lnkd.in/gc-4qZ9W

10. Exec Summaries with Gemini Gems
↳ Turn messy notes/long docs into concise summaries.
↳ https://lnkd.in/gqKYV-9B

11. Gemini Slide Summaries
↳ Generate summaries from presentations in Slides.
↳ https://lnkd.in/gaxGQctq

12. AI for Inbox Management
↳ Manage, prioritize, and respond to email efficiently.
↳ https://lnkd.in/g56PR6hE

13. AI Power-Ups for Workspace
↳ Enhanced productivity across Workspace suite.
↳ https://lnkd.in/gkT8pKsH

14. Create Docs in Seconds
↳ Generate full doc outlines and drafts using AI.
↳ https://lnkd.in/gCgFPpRm

15. Email Content Creation
↳ Utilize AI to write, refine, and optimize email content.
↳ https://lnkd.in/g6uAJUCt

16. Intro to NotebookLM
↳ Use NotebookLM for organizing and analyzing sources.
↳ https://lnkd.in/g-yyQfB8

⭐ Find 4 more courses in the comments.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4 

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Most people still prompt like it’s 2022.

Here’s how to go from basic to expert-level: 

[ remember to 🔖 save this post for later ]


Level 1: Surface Prompts

- Zero-shot prompt: Just ask without examples and hope for the best.
- One-shot prompt: Provide one example to get slightly better results.
- Few-shot prompt: Share multiple examples to guide the answer.
- Easy tasks: Summarize, rewrite, brainstorm, explain like I'm 5.

This is where most stop. It's quick, but basic.
You get generic answers, not high-quality output.


Level 2: Real Work Zone

- Role: Tell the AI who to be and how to sound.
- Tone and style: Define the voice, clarity, or formality.
- Plan → Act → Summarize: Direct the process.
- Define the task: Be specific about what you want.
- Add constraints: Set clear limits and boundaries.
- Provide context: Share background, audience & restrictions.
- Temporary chats: Use ChatGPT without its memory of you.
- Define output format: Bullets, tables, or any structure.
- Tool policy: Turn web browsing on or off.
- Share examples of quality outputs: Set the standard.
- Memory management: Keep projects organized.

This is where quality improves.
You get targeted, practical, and useful results.


Level 3: Where the Magic Happens

- Pick the right model: Select the best tool for the job.
- Thinking vs Fast: Decide if you want thorough or quick answers.
- Reasoning instructions: Tell the AI to think step-by-step.
- Chain-of-Thought: Guide logic instead of just giving commands.
- Iteration loop: Review, revise, and improve responses.
- Problem-solving: Focus on the 20% that gets 80% of results.
- Combine role, context, examples & revision for expert-level output.

The deeper you go, the better your results get.


📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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ChatGPT is making us lazy thinkers. 

We depend on replies instead of reasoning.

Here are 12 prompts that turn ChatGPT into your thinking coach (copy & paste to use): 

(🔖 save this post for later)


1. Question Your Assumptions

When: Something happens that does not make sense.

Prompt: "I'm convinced that [your belief]. What unstated assumptions underpin this belief? What other explanations could account for this?"


2. Understand Opposing Views

When: Trying to understand the opposite perspective.

Prompt: "Act as [person who disagrees with you] and explain their perspective in a way that makes their stance understandable."


3. Spotting Biases

When: You have a strong stance on something.

Prompt: "I'm strongly convinced that [your position]. Which mental shortcuts or blind spots could be distorting my view?"


4. Testing Logic

When: Verifying that your reasoning makes sense.

Prompt: "My reasoning is: [your reasoning]. Where does this argument break down or lack evidence?"


5. Analyze Ripple Effects

When: You’re considering the long-term impact.

Prompt: "I'm considering [potential decision]. What unexpected second and third-order consequences might unfold beyond the immediate impact?"


6. Play Devil's Advocate

When: You’re convinced your idea cannot fail.

Prompt: "I'm planning to [your idea]. If you were arguing against this, what would be your most powerful objections?"


7. Verifying Sources

When: Verifying a surprising or bold claim. 

Prompt: "I found this claim: [claim]. How would I fact-check this? What questions would help me assess whether this information is reliable?"


8. Revealing Blind Spots

When: You’re stuck solving a recurring problem.

Prompt: "I've tried [your solution attempts], but [problem] keeps coming back. What underlying factors am I failing to notice?"


9. Get Other Perspectives
 
When: You need to broaden your viewpoints.

Prompt: "I'm working through [your situation]. How might someone in [profession or discipline] tackle this? And someone from [different discipline]?"


10. Define Precisely

When: Disagreeing over terms or definitions.

Prompt: "Help me understand exactly what [term] means when we're talking about [situation]?"


11. Challenge Status Quo

When: Your usual method no longer works.

Prompt: "We’ve always used [current approach], but it’s failing. Why might that be, and what unconventional alternatives could we explore?"


12. Facts Versus Opinions

When: A discussion is emotional or polarized.

Prompt: "When discussing [topic], what factual points would both sides accept, compared to the value-driven perspectives where disagreement actually exists?"


Stop using AI to get simple answers.

Start using it to challenge how you think.

Save this post. Try one prompt today. Feel the difference.

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z  

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Credit: Manoj Desai on Medium

Your resume got you the job interview.

But your answers decide what happens next.

You made it to the interview stage. 

Now comes the part that really counts: 

Because in those 30 to 60 minutes…

One sentence can turn a quick “Yes” into a “We’ll let you know.”

Here are 10 things not to say in a job interview 
(and what to say instead):

[ 🔖 save this post for later ]

1. “I’m not experienced in that.”
→ Say: “While I haven’t worked on that directly, I’ve handled similar situations like this…”

2. “Could you tell me what your company is all about?”
→ Say: “Based on what I’ve learned, your company focuses on X. I’d love to hear more about your goals moving forward.”

3. “My last job was a nightmare.”
→ Say: “I’m hoping to join a team that values collaboration and has a positive work culture.”

4. “I’m a perfectionist.”
→ Say: “I aim for high-quality work, but I’ve learned how to set realistic expectations and manage deadlines effectively.”

5. “I really need this job right now.”
→ Say: “This opportunity fits well with my long-term goals and the direction I’m growing in.”

6. “I don’t have any questions.”
→ Say: “Could you share what success looks like in this role during the first few months?”

7. “I’m open to anything.”
→ Say: “I’m most interested in roles that build on my background in X and help me grow in Y.”

8. “My weakness is that I work too hard.”
→ Say: “I used to take on more than I should, but I’ve gotten better at setting priorities and managing my time.”

9. “That’s on my resume.”
→ Say: “Sure, I’d be happy to talk through that experience and share what I took away from it.”

10. “No one ever taught me that.”
→ Say: “That’s a skill I’ve been developing on my own through training and mentorship.”

The right words do more than answer 
They leave an impression that lasts.

So next time, pause before responding. 
And choose your words carefully. 
That’s how you stand out.

📌 Get free PDF guide “15 ChatGPT Resume Writing Secrets”: https://bit.ly/4cjcRGL 

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AI will not take your job. Someone using it will.

Those who learn AI now will lead the innovation.

From Google, Microsoft, OpenAI, Harvard, AWS, and Vanderbilt.

Start building future-proof skills today (links to free courses below):

Save list for later (click three dots at top right → Save).

1. Google - Intro to Generative AI
• Learn how generative AI models create text, images, and ideas.
• https://lnkd.in/gbSqTX8x

2. Microsoft - AI Course
• Covers core AI principles, neural networks, and deep learning.
• https://lnkd.in/gbyGV3Ni

3. OpenAI - Academy
• Hands-on lessons on GPT models, prompting & AI applications.
• https://lnkd.in/gyBA8XBZ

4. AWS - Foundation Of Prompt Engineering
• Teaches prompt design techniques for AWS-based AI tools.
• https://lnkd.in/gMwXhkxz

5. Vanderbilt Prompt Engineering for ChatGPT
• Explains structured prompting to generate clear, reliable outputs.
• https://lnkd.in/gCUiZuU5

6. Google Cloud × DeepLearning AI - LLMOps
• Guides you through building, deploying, and managing LLM apps.
• https://lnkd.in/g9s-AKmJ

7. OpenAI - A Practical Guide to Building Agents
• Shows how to design and deploy AI agents for real-world tasks.
•  https://lnkd.in/gMmDzseT

8. Coursera - Retrieval Augmented Generation
• Explains how to design RAG systems for better AI accuracy.
• https://lnkd.in/ggRmSmYQ

9. Harvard - CS50 Introduction to AI with Python
• Learn AI fundamentals through hands-on Python projects.
• https://lnkd.in/gTMsSPGs

10. Google - Intro to Responsible AI
• Covers key principles for building safe and ethical AI systems.
• https://lnkd.in/g5-VJgkT

11. Google - AI Essential Courses
• Practical training on using AI tools in everyday work and projects.
• https://grow.google/ai/

Every hour you invest in learning AI pays you back tenfold.

Pick one course and begin your next chapter today.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4  

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ChatGPT is just your intro to AI.

30 powerful AI tools to automate work, save hours, and simplify life.

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1. Timely: Automatically tracks time and fills your timesheets.

2. AskYourPDF: Lets you ask questions and summarize any PDF.

3. Wordtune: Rewrites and summarizes content for clarity and tone.

4. Magical: Automates repetitive tasks like calendar and email entries.

5. Google Duplex: Books appointments and handles phone conversations.

6. Writesonic: Creates blog posts, ads, emails, and SEO content.

7. Simplified: Helps you design, write, and publish content easily.

8. Suggesty: Gives human-like answers to any question.

9. TLDV: Records and summarizes meetings automatically.

10. Perplexity: Summarizes and explains web pages and articles.

11. Mem: Organizes notes and finds them when you need them.

12. Ellie: Writes and replies to emails in your voice.

13. Hints: Updates CRMs and manages tasks from chat.

14. AI of the Day: Shows trending AI tools and daily discoveries.

15. Waitroom: Keeps meetings short by timing speaking turns.

16. Beautiful: Builds smart, visually stunning presentations.

17. Slides: Turns your text into professional slide decks.

18. Docktopus: Creates interactive and animated presentations.

19. Tome: Builds visual stories and decks with your content.

20. Rephrase: Turns written text into talking video avatars.

21. Remove .bg: Instantly removes backgrounds from images.

22. Namelix: Suggests brandable names using your keywords.

23. Astria: Generates custom images trained on your style.

24. Looka: Designs logos and full brand kits in minutes.

25. Figma: Lets you design websites and apps collaboratively.

26. Blend: Creates clean product visuals for online shops.

27. Chatspot: Combines CRM search, reporting, and writing.

28. Botify: Builds digital human avatars for conversation.

29. Motion: Makes chatbots for any site or platform.

30. AskThere: Builds interactive quizzes and content.

You don’t need to use all 30. 
But mastering a few can 10x your results.

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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Search visibility has expanded beyond Google.

AI tools now decide what customers see first.

Traditional SEO once controlled how people discovered your business.

But now, AI answer tools (ChatGPT, Perplexity, Gemini) influence what users see first. 

If you want your business to remain competitive…

You’ll need to optimize for AI-focused search rankings (AEO, GEO).

Here are 3 kinds of search shaping discovery today: 

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📘 SEO: Search Engine Optimization
↳ Improving visibility in traditional search engines.

🛠️ How it works:
↳ Map intent and keywords to key pages
↳ Strengthen internal and external links
↳ Improve structure, speed, and technical health

🟢 Benefits:
↳ Steady, reliable traffic
↳ Builds long-term authority
↳ Supports AEO and GEO performance

🔴 Drawbacks:
↳ Slow to gain rankings
↳ Affected by algorithm changes
↳ Needs ongoing maintenance

📈 How to improve results:
↳ Prioritize high-intent keyword themes
↳ Refresh important pages often
↳ Run site and speed audits


🔍 AEO: Answer Engine Optimization
↳ Optimizing for instant answers across AI and voice search.

🛠️ How it works:
↳ Provide concise, answer-first responses
↳ Add FAQ and How-To schema markup
↳ Format content clearly with short sections and lists

🟢 Benefits:
↳ Strong visibility in AI responses
↳ Great for mobile and voice queries
↳ High CTR when users need details

🔴 Drawbacks:
↳ Some users get answers without clicking
↳ Snippet rankings shift frequently
↳ Needs regular content updates

📈 How to improve results:
↳ Keep answers within 40–60 words
↳ Target “People Also Ask” queries
↳ Add schema to key FAQ + How-To pages


🤖 GEO: Generative Engine Optimization
↳ Structuring content for generative AI systems.

🛠️ How it works:
↳ Publish clean, organized content with citations
↳ Build presence on platforms AI references (Quora, Reddit)
↳ Use AI-readable formatting for easier retrieval

🟢 Benefits:
↳ Early advantage in AI-driven search
↳ Builds trust through cited outputs
↳ Captures emerging generative traffic

🔴 Drawbacks:
↳ Harder to measure without clicks
↳ AI sourcing standards are still developing
↳ Requires visibility beyond your website

📈 How to improve results:
↳ Publish accurate, expert-level content
↳ Reference sources AI pulls from
↳ Use lists, tables, and FAQs for clarity


Google, answer engines, and AI models all surface content differently.

Winning online now means being discoverable across every layer of search.

Which of these three search types are you focusing on right now? Share below!

📌 Get ChatGPT SEO Guide (free): https://bit.ly/3StIB3z 

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Most people upload a file and hope AI “figures it out.”

It won’t … unless you build a system around it.

NotebookLM uses Gemini’s large context window. 

It turns scattered files into a connected, cited research brain.

Here’s the workflow power users follow:

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✨ Gemini Flash

• Core engine powering NotebookLM.
• Fast, accurate synthesis across large sets of sources.

Sample prompt:
“Highlight the main key insights across these docs.”


✨ Gemini Pro (Plus Tier)

• Used for deeper reasoning and context handling.
• Best for complex briefs and enterprise workflows.

Sample prompt:
“Draft a polished briefing using these internal docs, with cited evidence.”


1️⃣ Add Sources

• Import PDFs, Docs, transcripts, and webpages.
• Structure, tables, and images stay intact.

2️⃣ Source-Based Chat

• Respond only using your uploaded content.
• Ideal for reviews, validation, and checks.

3️⃣ Structured Study Guides

• Generates summaries, timelines, and briefs.
• Helpful for organizing large material sets.

4️⃣ Visual Topic Mapping

• Creates visuals to show relationships between topics.
• Useful for comparing topics or themes.

5️⃣ Audio Overview

• Converts notebooks into spoken recaps.
• Great for reviewing long content on the go.

6️⃣ Video Summaries

• Creates short narrated videos with slides.
• Perfect for updates or training.

7️⃣ Deep Research

• Find credible references for your topic.
• Expands research with relevant material.

8️⃣ Structured Data Tables

• Extracts key data points into organized, sortable rows. 
• Turns messy, unstructured info into clean, exportable data.

9️⃣ Collaborative Notebooks

• Share notebooks with teams or clients.
• Structure and citations stay intact.


Copy-Paste These Power Prompts:

► Summarize Content
“Create a 500-word thematic summary with citations.”

► Compare Sources
“Show key points across these documents and note conflicts.”

► Identify Decisions
“List main decisions and attach each one to its source.”

► Generate a Brief
“Assemble a brief that organizes the material into: Background → Core Points → Recommendations.”

► Create Script for Audio/Video
“Write a two-host script and test weak claims.”


Workflows You Can Build:

Research Review:

➟ Add papers into a notebook
➟ Produce a briefing from all sources
➟ Use chat for targeted questions
➟ Create audio for on-the-go review

Shared Knowledge Base:

➟ Add all project documents
➟ Build an onboarding study guide
➟ Share the notebook with your team
➟ Auto-update when new files are added

Content Analysis & Creation:

➟ Add competitor material
➟ Generate a comparison summary
➟ Build a mind map of themes
➟ Export slides for presentations

Build the system once and turn raw files into insights fast.

Save this guide and test it on your next deep-work task.

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4 

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Better ChatGPT prompts lead to better results. 

Use these 9 powerful prompting rules: 

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1. Provide Context
↳ Specify your goal and describe the situation in detail. 
↳ Example: “I'm launching a fitness app for busy professionals.”

2. Specify the Output
↳ Describe the kind of response you want. Specify type, format, length. 
↳ Example: “Create a landing page headline with 3 variations.”

3. Avoid Vague Requests
↳ Be specific. Unclear prompts = irrelevant replies.
↳ Example: “Write 5 Instagram captions for cupcakes.”

4. Break it Down into Steps
↳ Ask for what you need done step by step and in order.
↳ Example: “Analyze competitors, then suggest 3 pricing strategies.”

5. Request Examples
↳ Asking for real-world use cases makes responses easier to understand. 
↳ Example: “Show me 3 startup email marketing tactics and include example emails.”

6. Choose a Format
↳ Tell it how to deliver the response (list, table, etc). 
↳ Example: “List the pros and cons in bullet points.”

7. Assign a Role
↳ Define who ChatGPT should be. Sets the tone and expertise.
↳ Example: “Act as a social media strategist.”

8. Treat it like a Teammate
↳ Write as if you’re briefing a coworker. Simple, clear, direct.
↳ Example: “Review these 3 marketing approaches.”

9. Refine and Iterate
↳ The first draft is never final. Tweak until it clicks.
↳ Example: “Make this email more persuasive.”

📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3StIB3z 

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Perplexity is one of the top AI search tools.

The secret is knowing how to prompt it well.

With clear, structured prompts…

Perplexity becomes:
✓ Your research guide.
✓ Your strategy partner.
✓ Your decision coach.

[ 🔖 save this post for later ]

Here are 15 powerful prompts to try: 

1. Market Research – Compare top companies on pricing, features, reviews, and USPs.

2. Trend Analysis – Summarize industry trends, adoption rates, and impact.

3. Competitor Benchmarking – Evaluate tools or companies across pricing, features, and scale.

4. Customer Insights – Spot common complaints, requests, and positive feedback.

5. Case Studies – Share real-world cases showing strategies with measurable results.

6. Industry Reports – Extract stats, challenges, opportunities, and takeaways.

7. Skill Development – Learn a concept with steps, resources, and tips.

8. Expert Opinions – Compare expert views to highlight insights and differences.

9. Content Ideas – Generate 10 LinkedIn post ideas for your niche.

10. Summarizing PDFs – Condense PDFs into clear, bullet-point insights.

11. Product Comparison – Create side-by-side comparisons with use cases.

12. Developing Strategies – List proven methods for goals and outcomes.

13. Event and News Summary – Compile highlights and impact of events.

14. Decision Evaluation – Outline pros and cons of options with cost and scalability.

15. Business Idea Validation – Evaluate ideas with market, risks, and growth.

Try these prompts to get more out of Perplexity. 

Use it as an AI partner for work and everyday tasks. 

📌 Learn 30 free AI tools in 30 days: https://bit.ly/48woPL4 

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