Forecastio

All sales and revenue leaders face the same challenge: consistently achieving their sales and revenue targets.
Market turbulence, changing customer preferences, fierce competition, and the inability to make informed decisions in a timely manner all lead to missing sales quotas.

We can’t change the market or customer behavior, but we can equip sales and revenue leaders with the tools necessary to enhance sales performance and hit their sales goals.

CRMs are good at process automation. However, they often lack critical functionality needed by sales and revenue leaders, such as advanced sales planning and forecasting, sales quota assessment, capacity planning, real-time AI-generated insights into sales performance, and more.

This is the main reason why our team created Forecastio - to help sales leaders make informed decisions, prevent revenue leakage, and lead their teams to great results.

Having worked with a range of tech products, I know how irritating long and heavy implementations are.

Therefore, while creating Forecastio, our main focus was to minimize the time our customers spend on implementation and enable them to get value from using the platform as soon as possible.

CMO & Co-Founder

Sales Hacker, Inc.

Contributing Author

Belkins

Main goals:
1. Helping the sales team increase sales rate through the outbound channel.
2. Setting up the flow of inbound leads.

What I've done:
- Developed a marketing strategy
- New branding, and website
- Launched the Blog
- Set up content distribution
- Active work with social proof platforms
- SEO optimization and internal link building
- Developed and Launched the Belkns Growth Podcast (producer role)
- Developed and Launched Help-Center (FAQ)
- Marketing automation
- Developed new products and services

Achievements:
- In one year I managed to make Belkins a recognizable company in B2B lead generation on US and EU markets.
- According to Clutch, we are the top 1 b2b lead generation company in the US.
- Inbound Sales are more than 50% of new sales

Chief Growth Officer

Belkins is the most in-depth way to accelerate Outbound Sales. We provide a dedicated sales team, whose primal goal is to target YOUR prospects, design account-based sales campaigns and convert pre-qualified prospects into qualified Sales Appointments. We deliver a Predictable Sales Funnel Solution and support it with a detailed campaign statistic. 

📌 https://belkins.io

I analyzed the competitors and created a marketing strategy that allows Belkins to grow by 20-30% every month.

Chief Marketing Officer

Folderly

All-in-one platform for domain audit, email deliverability monitoring, and spam testing. Our goal is to help marketers accelerate their sales by helping them send emails that drive revenue

Make the inbox your only destination folder.

MyDutyFree LLC

Mydutyfree is a global duty-free marketplace, where travelers can find out about product availability/prices at duty-free stores and make pre-orders.

Jun 2017 promoted from Marketing Manager to Chief Marketing Officer reporting to CEO. 

Responsible for all global advertising, brand marketing, product marketing (software and services), partnerships, pr, research, social, CRM/lifecycle marketing, and all customer acquisition, engagement, and monetization.

Marketing Manager

Digital Forest

I am building an affiliate network for the startup.

•	Search traffic channels
•	Negotiations with partners
•	Traffic analysis
•	Reporting purchase traffic
•	Control of payments for traffic

Media Bayer

Newmark Ukraine

Sales Manager

Soft.ua

B2B Marketing Expert | Building my own SaaS startup from Zero to Market Leader. Sharing insights and actionable advice.

I transform startups into industry leaders through strategic marketing and brand development.

As Head of Marketing at Belkins, I built the brand from scratch and elevated it to become the #1 B2B Lead Generation agency in the US (Clutch-ranked), scaling revenue from $30K to $900K MRR while generating 250+ qualified meetings monthly.

I've successfully launched multiple ventures, including building the strategy, brand and marketing team for Folderly (SaaS), helping develop the business model for Wiseboard (advisory platform), and most recently, co-founding Forecastio, a sales performance management platform for HubSpot users that reached #3 Product Hunt's "Product of the Day" with zero marketing budget.

My approach combines data-driven strategy with creative execution to deliver measurable business impact. I specialize in:

- Brand development and positioning
- Growth marketing for B2B SaaS
- Content strategy that drives qualified leads
- Building high-performing marketing teams

I thrive in fast-paced environments where I can turn marketing challenges into growth opportunities. 

Let's connect if you're looking to scale your startup or need a strategic marketing advisor.

Dmytro Chervonyi

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

Hiring Alert: I am looking for a GTM engineer (contactor)

This is not a client-facing role; you will not be running campaigns for clients, but you will be helping me run internal fun experiments. No middleman, just 1-1 with me.

You have to be good at: Clay, Smartlead, Instantly, Trigify, etc...

Your main responsibility will be to run internal campaigns with me to test different offers

Most importantly, you should be able to catch up with my tempo :) 

I will be in Dubai for the next couple of months, and ideally, you should be in a similar time zone.

If you want to learn from someone who has built and exited SaaS companies and scaled agencies to 7 figures, DM me and I will send you more info.

Generate Pipeline from AI Search | Founder @ House of Growth | 1x Exit

3 skills that helped me go from $0 to $30K/month in 3 months when I first started my agency.

You need to learn these skills to go $30k+ per month

1. Create a cold offer people can't ignore

Stop with the "30 leads in 90 days or I work for free" nonsense.

My inbox gets flooded with that exact offer 10 times a day.

You need something so compelling that saying no feels stupid.

2. Master free traffic generation

You don't have a budget for ads yet.

That means you'd better get good at:

LinkedIn DMs that get responses

Cold emails that get replies

Content is going to help, but in the short term, your best friend is cold outreach

3. Learn basic account-based marketing (ABM)

The easiest way to close high-ticket sales:

Identify prospects who need your services → Build relationships with them → Engage with their content → Create resources specifically for them → Make your offer

It's basic relationship building that most people skip.

Here's what I'm assuming:

You're already good at what you're selling, and you've nailed your market positioning.

If you haven't, fix those first.

These 3 skills only work when you have a solid foundation.

Running a service business is not just about getting good at what you deliver. It's also about mastering getting attention and closing

Here is the 4-week plan I would follow to get AEO visibility in 4 weeks

👇

I can't say that I cracked the code, I think no one can but below is the plan I am using the get results fast

👉 Grab the full play here for FREE: https://tally.so/r/jaDPl9

WEEK 1: IDENTIFY LOW-HANGING FRUITS

First, we identified the high-intent prompts that we should go after. We found several Reddit threads being cited. We created content on these threads and pushed our comments up for more visibility.

We initially started with 4 Reddit threads.

WEEK 2:UPDATE EXISTING PAGES

We updated some of the BOFU pages to make sure that the content is optimized for Google and AI search engines.

Pages were terribly structured, so we did rewrites first ( if the team is reading, sorry, but you know I mentioned this before we started to work )

After the rewrite, our updates were focused on:

- Adding data and statistics

- Query fan-out optimization 

- Entity optimization under every H2 

- Adding fresh information (recency is very important for AI)

- Tables for product comparison

WEEK 3: 5 HIGH INTENT PAGES

2 alternative pages against their top competitors ( we like to start with vanilla alternatives content, and we verticalize the alternatives articles by creating them for each persona)

2 three-way comparison articles

We also did a competitor pricing review article ( this one actually landed us a demo with a big enterprise co. They did not book a demo, but we identified the visitor and reached out )

WEEK 4: OFF-SITE MENTIONS

- We worked on repurposing our 2 pieces of BOFU content and uploaded them to YouTube. 

- Secured 3 mentions where LLMs were citing the source

- Added 4 more Reddit mentions - we are using Scrunch to keep track of threads that are influencing the prompts we are going after

-----

👉 Grab the full play here for FREE: https://tally.so/r/jaDPl9

The current situation of AI search greatly reminds me of a concept in B2B sales called ''The Dark Funnel''.

The dark funnel consists of all of the touchpoints you can't track that lead up to a customer deciding to book a demo with you (e.g., saw your LinkedIn post or a coworker mentioned it).

I noticed the exact same pattern in AI search, where I saw myself making decisions inside of AI search engines like ChatGPT before I reach out to the tool.

And now there's someone who proved that this was not only a behavioural change in me: Profound's study on consumer behaviour found that 79.7% of buyers now rely on AI search engines like ChatGPT for ≥50% of their decisions.

What that means for us SEOs is that we aren't able to track regular site visits, where users are shopping around and then leaving.

Our LLM traffic tracking is most likely way off from people who actually found us through AI search as well.

Here are my thoughts and recommendations:

1. We'll have to switch our north star metric from ''traffic from LLMs'' to ''LLM visibility'' - we need to make sure that we're in the decision-making process, and not only if we get traffic from that conversation.

2. Ask users how they found you for better attribution. Even better: ask them what prompt they used to find you if they mention that they found you through AI search.

3. Continue investing in content marketing (both YouTube and articles) and getting brand mentions to own your categories. The goal will be to be present when the buying decision happens.

You can find the full research under comments

One of the clients ($5M+ ARR) is generating 25% of their pipeline from AEO

Here are all the things we did for them

SaaS companies interested in AEO:

Here are my learnings from my last 3 case studies 👇

1. Identify high-intent prompts

Find which prompts you should fight for. You need to pick your battles by identifying prompts with high intent. You can ask your most recent customers if they found you through LLM search, and if so, what were the prompts they used? This is going to give you a good set of questions to go after

Pro Tip: Make sure that you are going after grounded prompts, not ungrounded. If AI is not citing any sources to respond to your question, you can't really do much to influence it. You need to go after prompts where AI is sourcing that information from external sources

2. Make sure your site has clear messaging.

If you can't understand what your product does and explain it properly on your website, how do you think AI can read it? Make sure that you have clear messaging explaining what you are doing. the persona you are going after, problem you are solving, etc (Most of you don't have this part nailed)

3. Owned Content

You should have content for each prompt you are trying to win. LLMs still source data from SERPS, so it's important that you are getting visibility here. A big part of your strategy will be about owned content, and the other part is about getting visibility on other sources

4. Identify the most cited sources and try to get visibility

Use one of the AEO tools to identify which sources are getting cited most often in your niche. We use our own internal tool for this, but you can use any/Set clear goals to get your brand mentioned on those top domains and pages. But don’t stop there-expand the list and look for more places to get featured.

5. Fresh content

LLMs put heavy emphasis on content freshness. I used to run content updated every quarter, but now I am doing it more often. Some of our content is getting refreshed monthly

6. Information gain score

Writing great content is still important. Make sure that your page has more information than any other page out there. Also, make sure that your writing is no fluff and NLP-friendly. Longer content is not better content!

7. Research content still works

Statistics articles used to be good for passive link building. Now they also work well for getting AI visibility. Most of my clients get big chunk of their AI traffic from statistics articles. I don't have 1000 clients to get a decent sample size, but I still wanted share that it's working for the small sample size.

8. Be active on UGC platforms.

Engage in real conversations on Reddit and Quora. These sites are AI favorites for citations. Never spam-add real value.

9. Invest in YT.

Perplexity loves citing YT. Make sure to invest in video. Start by mapping your features to JTBD. Create "how-to " videos around the features of your product. Embed the videos into articles and share on social media

A solo marketer asked me last week:

"How am I supposed to compete with companies that have entire content teams when it comes to AI search?"

Fair question.

She's one person. Her competitor has 12 people cranking out content.

But here's what I told her:

You're not trying to out-content them. You're trying to out-smart them.

And there's a shortcut nobody's talking about.

It starts with one simple question: What do people type into ChatGPT right before they're ready to buy?

Not "what is project management software."

More like "Asana vs Monday vs ClickUp for marketing teams."

Those comparison prompts? That's where buying decisions happen.

And if you're not in that answer, someone else is controlling your narrative.

So here's the play for small teams:

Step 1: Find the high intent prompts. The "vs" searches. The "alternative to" queries. The ones that signal someone's actually evaluating options.

Step 2: Write those comparison pages. Not fluff. Real perspective. Own your positioning before your competitors do it for you.

Step 3: Drop those prompts into a visibility tracking tool. It'll show you which Reddit threads are influencing those AI answers.

Step 4: Go to those subreddits. Add value. Answer questions. Build credibility in the exact places AI is pulling answers from.

That's it.

You're not trying to rank for everything. You're showing up in the 5-10 prompts that actually drive revenue.

Big teams are still playing the old game. Writing hundreds of blog posts. 

Chasing traffic.

Small teams who get this? They're winning the prompts that matter.

You don't need more content. You need better positioning in the right answers.

I am looking for a GTM engineer a part-time or project basis

This is not a client-facing role; you will not be running campaigns for clients, but you will be helping me run internal fun experiments

You have to be good at: Clay, Smartlead, Instantly, Trigify, etc...

Most importantly, you should be able to catch up with my tempo :)

Imagine losing deals because ChatGPT doesn’t even know your product exists

Here is the story of an invisible SaaS:

Your competitor just taught ChatGPT what to say about you.

And you weren't even in the room.

Here's what happened:

Last week, a prospect searched "best email marketing tools" in ChatGPT. Your product didn't show up. Your competitor's did.

Not because their product is better.

Because they own the pages about their category and competitor review content. You didn't.

I see this constantly with early stage B2B SaaS. They spend six figures on ads and PR, then wonder why AI is recommending their competitors.

The answer is brutal: you left the door open.

LLMs are scraping everything right now. Every product page. Every comparison chart. Every "X vs Y" article on your site (or your competitor's site).

If you're not publishing this content, you're not in the conversation.

Here's what you should do:

Write a "best [category] tools" article

Create comparison pages for every competitor. 

Don't forget to add three-way comparisons, too

Done? Go and turn these into videos and publish on YT as well.

Because if you don't explain what you do and how you are different than competitors, someone else will write that and control the narrative.

It's about being present when the buying decision happens.

My clients start seeing traffic from AI sources within weeks. Not months. Weeks.

The best part? Your competitors probably aren't doing this yet. They're still waiting for someone to write about them.

Control your narrative, or watch someone else write it for you.

We helped Juma close 6-figure deals from AI search

Get the playbook for free (no need to comment) 👇

This is the same playbook we used to create a pipeline for all of our clients. You can take it and implement it in your business straight away.

Our AEO playbook includes:

- Everything we know about AI models' recommendation algorithms

- Differences between Google and AI search behavior 

- How to ensure models can properly access and read your content

- Best practices to get recommended on AI models (including brand mentions, BOFU content creation, and more)

- Real examples of content that works (and what fails)

👉Grab the playbook from here:https://tally.so/r/jaDPl9

I watched one of our competitors disappear in AI search 

Not because they got penalized. Not because their SEO team quit.

They just hit pause.

Three months later, their biggest competitor owned every ChatGPT answer in their category.

The company that paused? They're still trying to catch up.

And here's the part that keeps me up at night:

They thought pausing was the safe move. Budget cuts. Uncertain ROI. Let's wait and see.

But in AI search, there is no neutral.

Every day you're not feeding the machine, your competitor is.

Every article they publish trains ChatGPT to recognize THEM as the authority.

Every brand mention compounds their lead.

Every Reddit thread you miss is an opportunity for a competitor

And the gap doesn't just grow. It accelerates.

Because freshness wins now. And whoever shows up consistently becomes the default answer.

Your buyers only used Google to start their searches, not that they are switching to LLMs

And if you're not in that conversation, you don't exist.

Standing still isn't playing it safe. It's surrender.

The companies winning right now aren't the ones with the biggest budgets.

They're the ones who understood 6 months ago that AI search isn't coming.

It's already here.

Warmly, ($5m +ARR ) generates ~25% of its pipeline from AI search.

We have been running their SEO / AEO, and here is the playbook 👇


1. What we've been doing so far: Large-scale BOFU content creation:

- Competitor alternatives content: [Competitor] Alternatives
- Category keywords: Best [Category] Software
- 3-way comparisons: [Competitor] vs. [Competitor] vs. Warmly
- Pricing guides: [Competitor] Pricing (These guides work wonders for competitors that do not disclose their pricing on their website).

Covering the same competitors in these 4 formats allows us to build what I call competitor topical authority to help us rank better for competitor-related keywords.

Plus 

I am still a big fan of focusing on "information gain score," so we always aim to create content with more relevant information than competing pages.

2. What we've been focusing on in Q3 2025: 

Vertical comparisons + Reputation management/building + Adding schema markup + Updating BOFU pages that rank lower than position #3 on Google

VERTICAL COMPARISONS

Focusing on creating highly-specific BOFU content for certain ICPs (e.g., marketing agencies).

Example: [Competitor] Alternatives for Marketing Agencies. 

I know this does not have a reasonable search demand to go after it. But our big bet here is that users are going to provide context about their solutions when evaluating alternatives and solutions on the market.

Especially when using ChatGPT's ''Deep Research'' I've seen from user interviews (yes, I actually ask people we work with to share their prompts) that they share information about their industry or profession so they can get a more tailored answer.

Hence, why we're going to give them the answer to what is the best competitor alternative is for each persona we go after

REPUTATION MANAGEMENT & BUILDING

With OpenAI making deals with Reddit and mentioning Quora or other media publishers in its sources section, we cannot sit idle and expect people to happily discuss us.

This is why we'll be doubling down on these 4 channels

- Reddit.
- Quora.
- YouTube.
- Media publishers.

The goal will be to get mentioned there and explain what makes us stand out from our competitors.

SCHEMA MARKUP

We're planning on implementing schema markup on our website on our existing and future content to better explain our organization and product to both Google and AI search engines.

CONTENT FRESHNESS

After a bit of experimenting, I've noticed that AI search engines really like to favor fresh, up-to-date content that's been updated recently.

The same goes for Google nowadays as well. The more we update our content and keep up with the latest information (e.g., updated pricing, new features, new competitors), the more likely crawlers are to pick up our content and recommend it.

Listicles help with getting AI search visibility or no?

Here is the research 👇

Ahrefs have just done and published a research piece on AEO that all of us knew but couldn't prove:

Self-promotional listicles (best X software/agencies) are one of the best ways, if not the best way, to be the #1 recommendation spot for a solution comparison.

According to Glen Allsopp's research that analyzed 26,283 source URLs on AI search:- “Best X” blog lists represented 43.8% of all page types.

- Placing higher on multiple comparison lists likely increases your chances of being recommended by ChatGPT (which is why I've started doing outreach to get mentions).

- Across 1,100 blog lists used as research sources, 79.1% were updated in 2025 (which only confirms how important content freshness is).AI search for SaaS brands and agencies, put in the most simple way possible, consists of 3 core pillars:- Owned content, which covers comparison guides, where you explain what makes you the #1 option in the industry or for a specific use case.

- Mentions, which covers having visibility on other comparison lists, review platforms (e.g., Clutch and G2), and community forums like Reddit.

- Content freshness, which I think is AI search engine's ''sanity check'' if your content is outdated or recent.Here are a few examples of owned content:

- Top 10 [Competitor] Alternatives For ITSM In 2026.

- Top 10 Project Management Software For Start-Ups In 2026.

- 10 Best Marketing Agencies In Dubai For SaaS Brands In 2026.

And then positioning your solution or service as the #1 choice, clearly explaining why, and then covering other competitors in the space.

Glen's research also found something I have been thinking about for some time but could not prove:''35% of cited best lists were published on low authority domains.''Start-ups and low domain authority domains CAN WIN in AI search, and should not be scared of competing against established players on the market.

This research confirms the trends we have been seeing with the portfolio companies of House of Growth - AEO Agency

Link to research under comments

Your competitors are guessing AI search prompts. You could just ask.

Here is how 👇

No tool is going to hand you the exact prompts your customers are typing into search.

But you can figure it out without paying for a single piece of software.

Looking back, my best keyword ideas did not come from keyword research tools. 

They came from customer interviews and simply asking, “How did you find us?”

Right now, everyone is trying to hack their way into uncovering the most valuable LLM search prompts.

Go back to the fundamentals.

Here is what I tell my own companies:

 1️⃣ Ask every new customer if they found you through an AI search engine.
 2️⃣ If yes, ask exactly how their search started.
 3️⃣ Repeat this for your last 100 prospects.

You will start spotting patterns and those patterns are your high intent prompts.

Once you have that list, track your visibility for those prompts and work to win those spots.

This is how I am doing it. You should try it before your competitors figure it

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