Get Recommended When AI Gets Asked

The problem

Search behavior has split in two. Developers and technical buyers still Google "best API for [job]," but a growing share now ask ChatGPT, Claude or Perplexity directly and shortlist whatever tools it names. No click, no ranking page, no ten blue links. If an AI assistant has never been able to read your docs, your integrations, or how you compare to the alternatives, you're invisible in exactly the moment someone's choosing a tool.

Most SEO services for SaaS stop at Google rankings. That's necessary but no longer sufficient. It doesn't touch whether an AI assistant can find, understand, and recommend your product at all.

What AEO actually means for a Saas or AI company

AEO (Answering Engine Optimization) is the practice of making your product and your public content something AI models can actually read, cite, and recommend — clean docs and structured data that tell AI crawlers exactly what your API does and which stacks it supports, content that answers the questions developers actually ask an assistant when they're choosing a tool, and a public footprint (GitHub, Stack Overflow, Hacker News, comparison pages) that gives AI systems more than one place to learn you exist — because your own site is the one source these models trust least.

AEO (Answering Engine Optimization) is the practice of making your product and your public content something AI models can actually read, cite, and recommend — clean docs and structured data that tell AI crawlers exactly what your API does and which stacks it supports, content that answers the questions developers actually ask an assistant when they're choosing a tool, and a public footprint (GitHub, Stack Overflow, Hacker News, comparison pages) that gives AI systems more than one place to learn you exist — because your own site is the one source these models trust least.

What we do

We do AEO for companies in any field who want a genuinely great AEO service at a fraction of typical agency pricing — but SaaS, dev-tool, and AI companies are our specialty, because that's where the gap between what's built and what AI can actually find is widest. For that audience, that means: a site AI crawlers can actually access and parse (too many tech sites bury the real answers inside JS-rendered docs, gated sandboxes, and login walls that LLMs never reach); structured data and clean, well-structured docs that clearly identify what your API does, which languages and frameworks it supports, and how it compares to the alternatives; content built around the questions your customers actually ask an AI assistant — "best API for [job]," "open-source alternatives to [competitor]," "how do I do [task] with [tool]" — not just marketing keywords; and a presence across the sources AI models actually trust for technical recommendations — GitHub, Stack Overflow, Hacker News, Reddit, and comparison pages — so you're not depending on your own site being the only voice vouching for you.

No case studies yet — and we're not going to fake them

We're new, and we'd rather tell you that than paste in testimonials we invented. What we're not new at is the work. We know exactly how AI models decide who to recommend, what they read, and why most sites never get cited — and we build our own tools to do it, which is more than most agencies twice our age can say.

Here's our deal: every client is us proving it. No lock-in, no long contract to trap you while we figure it out — you stay because it's working, or you don't. The first companies we do this for get our sharpest work and our lowest price, because your result becomes the proof. That's a fair trade, and we're saying so out loud.

Want to see what we can do before you commit to anything? Run the free audit below — we'll show you exactly where AI assistants find you today, where they don't, and which sources they're pulling from. No pitch, just what we see