Founder · 1 product on SaaS Hive
Founder and product builder behind GEO Tracker AI, a SaaS platform for tracking how brands appear across AI search engines. I build and ship products across SaaS, AI, automation and growth, with a strong focus on practical tools that solve measurable business problems. Currently focused on AI search visibility, GEO/AEO, product-led growth and turning early-stage products into sustainable businesses. Always interested in exchanging feedback with other founders and builders.

It’s when your free infrastructure starts telling you:“Your project has outgrown this setup.”This week, GEO Tracker AI hit two of those signals:• Supabase warned us about Disk I/O pressure• Vercel warned us that we’re close to the Hobby plan’s Active CPU limitThat does not automatically mean “huge traffic.” In our case, repeated product iterations, scans, report generation, and QA all contribute.But it does mean the product is no longer just sitting there.For founders building AI or data-heavy SaaS, free tiers are perfect for validating an idea. Then comes the next stage: learning which workloads to optimize, which infrastructure to upgrade, and how to keep costs proportional to real customer value.The important part is not upgrading every time an alert appears.It’s understanding what is creating the load.For us, that means separating:• app compute• database reads and writes• external AI/API costs• real customer usage versus internal testingGrowing a SaaS product is not only about acquiring more users.It is also about building the operational discipline to support the product when it starts doing real work.What was the first “our free plan is no longer enough” moment in your SaaS journey?
We previously built our own MCP integration so GEO Tracker AI could connect with tools such as Codex, Claude and Cursor.Now we’re working hard to complete a direct integration for OpenAI’s GPT/Codex ecosystem. It is still in progress and subject to OpenAI’s approval, but we’re excited about the possibility.Our thinking is that, in an agent-first world, users should be able to connect their own AI workflows directly to real measurement: how AI systems mention or recommend their brand, the evidence behind those answers, and an actionable plan for what to investigate next.I’d really value an honest founder perspective:Would this feel like a positive differentiator, a nice bonus, or an essential part of a modern SaaS product?Would you actually use an AI agent to review visibility data and help turn it into actions?What would make this integration genuinely useful rather than just another AI feature?We’re not assuming the answer — we want to build the connection in a way that fits real workflows.
The screenshot shows our own result: GEO Tracker AI was absent from all six measured answers. It is not the prettiest marketing result, but it demonstrates exactly what we wanted the Snapshot to provide — an honest, inspectable baseline rather than a manufactured score.You can try it with your own domain here:I’d genuinely like to know: does the report make it clear what was measured, what AI said and what you should investigate next?
I’m curious how founders, marketers and owners of online businesses see this.We already pay for things like hosting, databases, analytics, email, CRM, SEO, paid acquisition, security and AI tools. But where would you place GEO / AEO / AI visibility — the ability to understand whether AI systems mention, recommend or overlook your product?Which of these feels closest today?A core growth channel we should already be measuringA useful SEO extension, but not a separate categoryAn experimental tool for early adoptersSomething mainly useful for agencies or larger companiesNot a priority for my business yetAnd how would you rank your own Top 5 product or growth priorities right now?You can reply in this format:[e.g. Product / hosting / analytics / SEO / email / sales / AI]Where, if anywhere, would AI visibility fit in that list?One more honest question: if a tool showed your real buyer questions, AI answers, recommended alternatives, cited sources and practical next steps, what would you consider a reasonable monthly price for it?I’m not looking for a “correct” answer. I’m interested in how SaaS founders, agencies, e-commerce brands and other online products actually prioritize this today — before the category becomes full of assumptions.
Quick build-in-public update 🙂We’re making a substantial improvement to the free GEO Tracker AI Snapshot / Grader.Early internal results from the new version look very promising, but we’re finishing the last QA before opening it to everyone. The goal is not to publish another generic “AI visibility score” — it is to make the result more useful, more explainable and more honest about what was actually measured.A few of the things we are tightening right now:buyer questions now have to match a real measurement intent: discovery, use case, evaluation, comparison or desired outcome;localized prompts are being refined for Czech, Slovak, German, French, Spanish and Polish — not just translated word-for-word;report headlines, evidence labels, recommended actions and timestamps are being presented natively for each supported market;observed competitors, directories, citations and website evidence need to stay distinct. If they are mixed together, scores and recommendations become misleading very quickly.This is the less glamorous side of GEO/AEO/AI SEO: a market and language change is not simply a dropdown. It changes the buyer questions, the AI answers and the evidence that has to be interpreted.We’re in the final stretch now. Once the checks are complete — hopefully within the next few hours — we’ll publish an update and invite everyone to try the improved free Snapshot.We’ll share what changed, not just say “new version shipped” 🚀
We’ve started a new community focused on AI visibility: GEO, AEO, AI SEO — call it what you like 🙂Right now it is still new, so some topics are quite general. We’d love to make it genuinely useful by bringing in the real questions founders, marketers and SEO people are dealing with:Why does AI recommend competitors instead of us?Which sources influence an AI answer?How should we measure visibility across markets and languages?What can we actually improve after finding a gap?Which GEO/AEO claims are useful — and which are just marketing?This is not only for GEO Tracker AI users. You do not need to use our product at all. The goal is to discuss real problems, share practical experience, ask difficult questions and help each other make sense of a fast-moving space.We will share what we learn while building and testing GEO Tracker AI, including where measurement is difficult or uncertain — not just the polished results.If AI visibility matters to your product, agency or clients, you’re very welcome to join:What is the one AI-search question you would most like to get a credible answer to?
I'm opening 10 spots for SaaS Hive founders who want to see how their product appears across ChatGPT, Perplexity and Google AI.For 14 days, I'll give you GEO Tracker AI Pro access at no cost.The goal is simple: use it with your real SaaS, real competitors and real buyer queries — then tell me what is useful, confusing or missing.I'm especially interested in whether the product helps you answer questions like:Does AI mention or recommend my product?Which competitors appear instead?Which sources influence those answers?What should I improve to increase my AI visibility?I'm keeping this cohort to 10 founders so I can follow the accounts and feedback properly.If you want one of the spots, reply here or check the feedback request I just posted.
I’ve been thinking about how founders should measure visibility in AI answers.A brand mention can look good in a dashboard, but it may mean very little if it appears in a broad question with no buying intent.I’d rather see a SaaS mentioned in 10 answers to specific questions such as:- “What is the best tool for [job] for a [type of customer]?”- “What are the alternatives to [competitor] for [use case]?”- “How do I solve [pain point] without [common drawback]?”than get 100 vague mentions with no clear buyer behind them.My current view is that the useful unit is not a brand mention — it is a buyer question, the answer AI gives, the alternatives it recommends, and the evidence behind that answer.Do you agree? If you had to choose one question an AI assistant should answer before a prospect finds your SaaS, what would it be?
I’m building GEO Tracker AI, and I’m trying to avoid a report that is interesting for five minutes but doesn’t change what a founder does next.For me, a useful AI-search visibility report needs to answer four concrete things:1. What real buyer question was tested?2. Was the brand mentioned, recommended, or absent?3. Which competitors appeared instead?4. Which sources seem to be shaping the answer?The important part is the next step. If a brand is missing, is the problem positioning, missing proof, weak source coverage, or simply the wrong buyer question?I’m curious how other founders would define “useful” here: what is the one thing an AI-search visibility report would need to show before you would monitor it every week?If you are willing, share one pre-purchase question your customers ask before choosing a tool like yours. I’m collecting these to make the reports less generic and more decision-oriented.
I'm looking for 10 SaaS founders who want to see how their company currently appears in AI search.Send me your SaaS domain and I'll help you test:whether your brand appears,which competitors are recommended instead,which sources are being cited,and where the biggest visibility gaps are.You don't need to prepare anything. If you want, I'll also suggest the buyer questions worth testing for your product.No sales call. No review required.In return, I only want honest feedback after you've seen the results: was the information actually useful, what was confusing, and would you want to monitor it again?If you want to be one of the first 10 tests, drop your domain below.