Search is splitting in two. One half still lives in Google. The other half now lives inside AI chatbots — GPT, Gemini, Claude, Grok, Perplexity. The second half has no tools. We're building them.
For twenty years, the path from buyer to product ran through one place: ten blue links on a Google results page. That era is ending. AI referral traffic to retail and e-commerce sites grew 527% year over year in early 2025, according to Salesforce data. ChatGPT alone processes roughly 50 million shopping-related queries every single day. Consumers no longer type a keyword and scroll through ads. They ask an AI a question and get one answer.
The conversion gap is staggering. AI-referred visitors convert at 16.8%, roughly six to nine times higher than traditional Google organic traffic at 1.76-2.8%. When an AI recommends a product by name, the buyer is already sold. There is no comparison shopping, no second-guessing. The recommendation is the decision. If your product is not inside that recommendation, you are invisible to a rapidly growing share of buyers.
Google built an entire ecosystem for the old search paradigm. Search Console tells you when you appear. Google Analytics tells you what happens after the click. Google Ads lets you pay for placement. Together, these three layers gave every business, from a solo freelancer to a Fortune 500, a way to measure, understand, and grow their search visibility.
The AI recommendation layer has nothing equivalent. There is no console that tells you "GPT, Gemini, Claude, Grok, and Perplexity mentioned your product 47 times last week." There is no analytics dashboard showing which AI conversations led to a sale. There is no marketplace to bid for placement in an AI answer. Five major engines are recommending products and services right now. The infrastructure for measuring any of it simply does not exist.
We surveyed the landscape. The closest category is Generative Engine Optimization (GEO) tools. We found roughly 24 of them. Every single one targets enterprise marketing teams with five-figure annual contracts. If you are an indie SaaS founder, a marketing agency, a consultant, a D2C brand operator, a newsletter creator, or any independent builder, there is no tool for you. You are flying blind in the fastest-growing discovery channel on the internet.
We have seen this exact moment before. In 2004, Google was already dominant, but the SEO tooling market barely existed. Then Moz launched in 2004 and Ahrefs followed later. They started with simple tools: check your rankings, see your backlinks, get a domain score. Those simple tools became the foundation of a multi-billion dollar industry. Today, the SEO software market generates over $1.6 billion in annual revenue.
The AI recommendation era is that same empty chair. Analysts project the Generative Engine Optimization market will grow at a 40.6% compound annual rate, reaching $17 billion by 2034. That projection covers enterprise tools. It does not account for the long tail: millions of independent creators and small businesses who need simpler, more accessible versions of the same capabilities.
We believe the biggest opportunity is not in selling to Fortune 500 marketing departments. It is in building the default visibility platform for every product on the internet that wants to be found by AI. The same way WordPress democratized publishing, and Shopify democratized commerce, someone will democratize AI visibility. We intend to be that someone.
We are rebuilding the Google stack for the AI recommendation era. Not all at once. Layer by layer, each one solving a progressively harder problem.
Phase 1 and Phase 2 are both live today. You can check your AI Visibility Score right now, for free, in about ten seconds — and immediately see three prescriptions ranked by impact. Phase 2 daily monitoring is active: the system probes five AI engines every day and records whether they mention your product. Phase 3 is on the roadmap for when the ecosystem matures enough to support it.
Each phase expands what you can do: first see, then understand, then act. The same progression that Search Console, Analytics, and Ads provided for Google, we are building for the AI layer.
Most tools in this space stop at the score. They tell you you are invisible, then leave you there. We disagree with that as a product philosophy.
A score is a bathroom scale. It tells you the number, not what to do about it. The number is a starting point, not a destination. So we built the personal trainer too: a Prescription Engine that diagnoses why you are invisible across five engines — GPT, Gemini, Claude, Grok, Perplexity — then prescribes specific actions ranked by severity. CRITICAL gaps first. HIGH-impact fixes second. Quick wins to get the score moving.
Score, diagnosis, prescription, tracking, repeat. That is the loop most measurement tools never close. We track whether the actions you took actually moved the score on the next daily measurement, so the next prescription is informed by what already worked for you.
A coach who says "you are out of shape" and walks away is not a coach. We built the rest.
Our first users are indie SaaS builders, marketing agencies, consultants, and coaches — the segment most underserved by the GEO tools landscape and the fastest to adopt new technology. They do not have enterprise marketing teams or five-figure budgets. They need something that works in ten seconds and costs nothing to try.
From there we expand to D2C brands, newsletter operators, online course creators, and authors. And beyond that, our long-term vision is simple: anyone discoverable by AI should have a tool to understand what AI knows about them. Every product, every service, every personal brand, every local business.
We are a solo-founder company, bootstrapped, building in public. We ship fast, we measure everything, and we listen to users obsessively. If you believe AI is reshaping how people find products, and that the people making those products deserve tools to navigate that shift, we are building this for you.
Starting with indie builders. Built for anyone the AI can find.