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

SEO and AEO agencies are dead

I replaced my $15k/mo agency with Claude Code.

Here is what my agent does:

- Creates content strategy around topics such as "ultimate guide to xyz" or "what is xyz" - zero defendability for AI search 

- Optimizes each post with [some made-up name] framework

- Found my ICP in 5 seconds, even though I couldn't figure it out for a year 

[screenshot of the flow] - I have no idea what any of this does. Neither does the person who built it.

We used this agent for 6 months, and below are the results from the AI search

[screenshot of Google Search Console]

And yes, we are tracking AI search from GSC, so all the AEO tools are unnecessary

I spoke with a CMO of Series B B2B SaaS last week about their AEO

He was furious.

"ChatGPT is telling people we're too expensive for small teams." - not correct at all

We pulled up the sources AI was citing.

Competitor blog posts. Reddit threads from 2021. A review site that hadn't been updated in 18 months.

His first instinct?

"We need more PR. More brand mentions. More visibility."

No. You don't.

That's not your problem.

Your problem is you never created content that answers the questions buyers are actually asking.

Best tools in your category. Alternatives. Comparisons. Use cases by company size.

You left that to competitors and review sites.

So now they're the source. Not you.

You're not invisible. You just handed the microphone to everyone else.

Early-stage companies have the opposite problem.

AI genuinely doesn't know they exist yet.

PR and brand mentions actually matter there.

But for you?

Create the content that answers buyer questions.

Become the source AI cites.

Stop letting competitors control your narrative.

TLDR: Assess your current situation before you invest in any AEO-related activity

---

If you want us to build a free AEO roadmap for you, apply from the link on my profile

"Recently raised Series A" is not a buying signal. It's a crowded inbox.

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.

I think AI search visibility trackers are useless 

Why? 

Because I keep seeing AEO case studies with screenshots of the search console

I guess we are all missing something because my GSC is not giving me AI search visibility data 🤣 

Sad thing is, some of these posts are getting 500 comments

HIRING a Short-Form Content Creator — and this one's worth stopping your scroll for.

You'd be joining one of the most exciting companies in AI right now. Fast-growing, cutting-edge, and building technology that's genuinely changing how people create.

The role: make the internet understand (and love) AI image and video models.

Talking-head videos. Live demos. Model launches. Tutorials that make complex tech feel obvious. If you can turn a product update into a piece of content people actually want to watch — this is your seat.

What you'll be working on:
→ Launching new AI models on TikTok, YouTube Shorts & Instagram
→ Model comparisons and use-case showcases
→ AI workflow videos and trend content
→ Collaborating directly with product and engineering to get the story first

This is not a content farm job. You'd have real access, real creative input, and a product that makes for genuinely compelling content.

Remote-friendly. US or European time zones preferred.

If you're strong on camera, fast with an edit, and can make technical topics land — DM me or drop a link to your work in the comments.

Know someone perfect for this? Tag them 👇

We are running an AI search sprint free for 3 SaaS companies

👇

We're opening up 3 free pilot slots to show you exactly where you stand on AI search and what to do about it.

Here's what you'll get:

- A full AI search audit of your brand vs your top competitors

- Your 30-day AI search content strategy + the brand mentions you need to build

- Your first revenue-focused content — written and ready to publish

We hand-pick the companies. We're not looking for volume. We're looking for fit.

That means Series A B2B SaaS. $1M+ ARR. A category worth owning. And a team that will actually execute on what we hand them — because we're not interested in doing great work that sits in a Google Doc.

Q2 2026 cohort has 3 spots.

If you think you're the right fit, apply from here: https://tally.so/r/442j4A

Haven't invested in AEO yet? 

Don't start with content 👇

Start with a diagnosis.

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.

We recently ran an AEO audit for a later-stage SaaS company.

They had 85% visibility across 100 high-intent AI prompts we were tracking for them.

Sounds great, right?

It wasn't.

They're an industry leader. Big brand. Strong PR. Their TAM knows them well. So visibility wasn't the problem.

The problem was what AI was saying about them.

A competitor's blog post from two years ago claimed our client didn't have a specific enterprise security certification. That blog was never updated. But ChatGPT was citing it.

So when enterprise buyers asked AI about this CRM, the answer included: "doesn't have [security certification]."

In reality, they absolutely have it. They serve enterprise clients. It's a requirement.

But they never created their own content around their competitive landscape. They never monitored what competitors and Reddit threads were saying about them. And they had nobody responding to community discussions where people were spreading incorrect information about their product.

Here's our game plan to fix this:

First, we're building their owned content inventory. Blog posts targeting every high-intent prompt so that AI pulls from our client's own words, not from a competitor's outdated blog.

Second, we're mapping every third-party source AI is citing for their target prompts. We're breaking them into UGC (Reddit) and publisher blogs (competitor and industry blogs). From there, we're running outreach campaigns to get the outdated and incorrect information corrected at the source.

Third, we identified YouTube videos influencing AI answers where our client isn't getting mentioned at all. The plan is to partner with micro-influencers and create "best CRM" style comparison videos. The goal is to secure both visibility and citations on the prompts where we currently have gaps.

The takeaway? Visibility without narrative control is dangerous. If AI knows you but is saying the wrong things, that's worse than being invisible.
When was the last time you checked what AI is actually saying about your product?

👉 If you want us to run a free AEO roadmap for your company, apply from the on my profile

We just increased AI search visibility for a B2B SaaS client by 100% in 30 days.

Want to see how we did it?

You can't. The case study doesn't exist. I made it up.

But you'd have believed it, right? Because you've seen 15 posts this month saying almost exactly that.

Here's the problem: a lot of people claiming to grow AI search visibility are backing it up with Google Search Console screenshots.

It does not tell you how often your brand appears in AI-generated responses. 

It does not tell you what AI systems say about you. It does not measure anything that would reasonably be called "AI search visibility."

Posting a GSC screenshot as proof of AEO results is either a misunderstanding of how this works or a deliberate misdirection aimed at people who don't know the difference.

If someone is showing you clean dashboards and confident attribution, ask them which tool produced it and how it works.

If the answer is a Google Search Console screenshot, walk away.

The first sales conversation your buyer has is with ChatGPT. Your team is the second call, if you're lucky enough to get one.

Your buyers trust ChatGPT more than your sales team.

That's not an insult. That's just how people make decisions now.

They ask AI for recommendations. They get a shortlist. They do follow-up questions. By the time they land on your site, they've already decided whether you're a contender.

But here's the problem:

Most B2B SaaS companies have zero control over what AI says about them.
AI is citing outdated competitor blog posts. Old Reddit threads. Review sites that haven't been updated in over a year. And it's confidently presenting that information as if it's current.

I've seen AI tell buyers a product is "too expensive for small teams" based entirely on a competitor's comparison post from 2022. Completely inaccurate. But that's what the buyer heard.

So how do you take back control?

You become the source.

Step 1: Identify the 20-30 buying questions your ICP is asking AI right now. Turn your paid search keywords into questions.

Step 2: Ask those questions yourself. Look at what AI cites. What source types? Who gets mentioned?

Step 3: Fill the gaps. If AI cites a listicle, get on that listicle or create a competing one. If it cites a forum thread, go give a real, transparent answer. If it cites a video, make one.

Step 4: Optimize your help center so it answers every specific feature, integration, and use case question a buyer could ask in a follow-up.

Do this consistently for 6 weeks, and you'll see the shift.

The brands that control their AI narrative now will own their category later.

4 types of competitor-focused content I use to generate pipeline for SaaS

👇

1. Competitor vs You

You must own this story. If a prospect types “[competitor] alternative” into Google and only sees their page, you already lose. Create clean “You vs Competitor” pages that talk in revenue, churn, onboarding time, not vague feature lists. Show how you reduce risk, cut time-to-value, or lift expansion revenue.

2. Competitor alternatives

These people are in market now. They already pay for a tool. They just hate something about it. Create list posts like “7 alternatives to [competitor] for remote CS teams” and rank for those terms. Include your product in the list, show screenshots, add simple pricing context, and link to a focused trial or demo page. This brings high-intent trials fast.

3. Competitor comparisons

Big brands fund your pipeline. Use their demand. People search “[competitor A] vs [competitor B]” every day. Write posts and pages like “[A] vs [B] vs [You]” and speak to a specific ICP: “best for product-led teams”, “best for agencies”, “best for low-ACV SaaS”. You ride their brand search while positioning your product as the right fit for a clear segment.

4. Competitor use case content

Show how to do a key job in competitor tools, then show the simpler version in your product. “How to build a QBR dashboard in [competitor]” → then you show it takes 9 steps there and 3 in your app. If a competitor cannot support that use case, say it clearly and own the gap. This is where many of your best switch deals come from.

----

If you want us to generate a free AEO report, check the link on my bio !

Most B2B SaaS companies I talk to make the same AEO mistake.

They skip the diagnosis.

They hear "AI search is important," they read a couple of posts, and they jump straight into tactics. Get us mentioned on Reddit. Build some landing pages. Maybe hire an AEO consultant.

But they never asked the basic question first: what is our actual problem?
Because in AEO, there are two very different problems. And the strategy for each is completely different.

🔴Problem 1: Visibility. AI doesn't know you exist. You don't show up for any of the prompts your buyers are typing in. This is common for earlier-stage companies.

🔴Problem 2: Narrative. AI knows you, but it's saying the wrong things. Competitors and outdated sources are controlling what AI tells your buyers about you. This is common for later-stage companies with brand presence but no owned content strategy.

Most companies don't know which problem they have because they never checked.

Here's how we figure it out in the first week of working with a client:

Step 1️⃣ : We identify the buyer intent prompts that actually matter. Not every AI search prompt is winnable. We focus only on the high-intent ones, either related to competitors or directly related to the client's software category.

Step 2️⃣ : We check if the client has content that answers those prompts. If they don't, they have a narrative problem. Even if they're getting visibility, AI is pulling the narrative from someone else's content.

Step 3️⃣ : We look at the off-site sources AI is citing for those prompts. Reddit threads, competitor blogs, YouTube videos. That tells us where the influence is coming from and where we need to show up.

Skipping the diagnosis is how companies waste 6 months and a lot of budget on tactics that don't match their actual problem.

👉If you want us to run a free AEO roadmap for you, check the link on my bio

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..

AI is selling your competitor using your outdated content.

You’re funding their pipeline for free.

Your buyers trust ChatGPT more than your sales team.
Not because sales is bad.
Because this is how people make decisions now.

They ask AI for:
- Shortlists
- Comparisons
- Pricing context
- “Is this tool right for a company like mine?”

By the time they land on your site, they already “know” you.
Or they think they do.

Here is the problem I see with B2B SaaS teams I work with:

AI is pulling from:
- Old competitor blog posts
- Stale Reddit threads
- Year old review pages

I saw AI call a product “too expensive for small teams”
based only on a competitor comparison from 2022.
Totally wrong.
Still, that is what the buyer heard.

You need to take back control.
You become the source.

Here is the play I use with clients:

1/ Map the real buying questions
Turn your main paid search keywords into questions.
You want 20–30 questions your ICP would ask AI today.

2/ Audit what AI says
Ask those questions in ChatGPT, Claude, Perplexity.
Note:
- Who gets mentioned
- What sources get cited
- What formats show up

3/ Fill every gap
If AI cites a listicle, get on that list or build your own.
If it cites a forum thread, go answer with a clear, honest take.
If it cites a video, create a stronger, updated one.
If a competitor listicle is sharing outdated info about you - ask them to fix it

4/ Fix your help center
Make sure it answers:
- Features
- Integrations
- Use cases
In the same language buyers use in follow up questions.

Do this for 8 weeks with focus, and you start to see the shift.

The traditional approach to winning in search was built around one goal:

Get your URL to rank #1 on Google.

But that playbook doesn't work exactly the same in the age of AI search.

You need to go from optimizing a single page to showing up across multiple sources.

In Google, if your blue link shows up first, you win. Done.

In an LLM, your URL can be the #1 citation, and you still lose the answer because you won't get recommended! You need to be the source, and other people should be mentioning you as well.

AI doesn't just read one page; it summarizes many sources. The brand that gets mentioned the most across those sources wins the recommendation.

This way, you're not just competing for a ranking. You're competing for the narrative.

That means your website alone is not enough. You need presence across the types of sources AI actually cites: your own pages, YouTube videos, Reddit threads, affiliate review sites etc.

If you optimize for just one of those, it's not enough.

The B2B SaaS companies I work with that are winning in AI search aren't doing one thing really well. They have good content + they are trying to get visibility in every place AI cites from

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.

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All the AI buzzwords can be confusing. 

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[ save 🔖 this post for later ]

Here are 28 AI terms even a kid can understand.

1. Artificial Intelligence – A computer brain that helps and learns.

2. Machine Learning – AI learns by studying examples.

3. Deep Learning – AI learns step by step in layers.

4. Neural Networks – AI parts work together to solve tasks.

5. Model Architecture – The setup for how AI learns.

6. Training Data – Info AI uses to get smarter.

7. Pretraining – AI reads first to get ready.

8. Fine-Tuning – Extra training after basics.

9. Reinforcement Learning – AI learns from rewards or mistakes.

10. Overfitting – AI memorizes too much and messes up.

11. Natural Language Processing – AI reads and talks like us.

12. Context Window – AI remembers just the recent words.

Find more terms in the infographic. 
AI doesn’t have to be complicated!

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