Visibility inside the answer, not just under it.

Generative Engine Optimization is the practice of structuring content and technical signals so generative AI systems like ChatGPT, Claude, Perplexity, and Google AI Overviews can find, understand, and cite your startup directly in the answers they synthesize. As more buyers skip search results and ask an AI instead, a startup that isn't legible to these engines isn't in the conversation, no matter how good its SEO used to be.

AEO (Answer Engine Optimization) targets the direct-answer surfaces built into traditional search, featured snippets, "People Also Ask", and voice assistants. GEO targets a different moment, being one of the sources a generative model like ChatGPT or Claude actually cites or quotes when it synthesizes a free-form answer. The disciplines share a foundation of clear, well-structured content, but GEO leans more heavily on entity signals, llms.txt, and brand-mention consistency across the web, since the model is choosing sources rather than ranking pages. Most startups need both, which is why we offer them as separate, focused engagements.

Traditional SEO optimizes for ranking on a results page a human scrolls through; GEO optimizes for being the specific fact, quote, or recommendation an AI model pulls into its synthesized answer. That means different signals matter, clear entity definitions, structured data, extractable answers, and consistent brand mentions across the web, rather than just backlinks and keyword density.

We optimize for the major generative engines your buyers actually use, ChatGPT, Claude, Perplexity, Google AI Overviews and Gemini, and Microsoft Copilot. Each engine sources and weighs content a little differently, so our approach is engine-aware rather than one-size-fits-all.

We run structured prompt tests across ChatGPT, Claude, Perplexity, and Google AI Overviews on the queries that matter to your category, then track how often your brand is mentioned, cited, or recommended over time. That sits alongside referral traffic from AI tools and share-of-voice against named competitors, reported in plain, board-ready numbers.

It means we systematically query AI tools with the questions your prospects are actually asking and log whether, how, and in what context your brand shows up versus competitors. That gives us a baseline, a way to prove progress, and an early warning if an engine starts citing a competitor instead of you.

Early signals like schema indexing and first AI-tool mentions often appear within four to eight weeks, since generative engines can pick up well-structured content faster than traditional search ever did. Durable, consistent citation across multiple engines and query variations typically builds over two to four months of sustained content and entity work.

It's ongoing. AI models retrain, re-crawl, and re-weight sources continuously, so the content and entity signals that earn a citation today need refreshing as your product, competitors, and the engines themselves evolve. We treat it like a growth channel to compound, not a launch to check off.

We start with what you already have, docs, blog posts, case studies, product pages, and restructure it into clearly answerable, citation-worthy formats. Where gaps exist against the questions your buyers are actually asking AI tools, we produce new content built specifically to be extracted and quoted by generative engines.

llms.txt is an emerging standard, a plain-text file at your site root that gives AI crawlers a clean, prioritized map of your most important content. It's not a magic switch, but for a startup wanting to be efficiently understood by LLMs it's a low-cost, high-signal piece of a broader GEO setup, and we implement it as part of our technical foundation work.

We implement structured data like Organization, Product, FAQ, and Article schema so engines can parse exactly what your pages mean, not just what they say. It's typically a scoped, low-risk addition to your existing templates or CMS, and we work with your dev team's workflow rather than around it.

No, well-executed GEO builds on your existing SEO rather than competing with it, since clear structure, strong entities, and citation-worthy content help both traditional rankings and AI answers. We audit what's already working before we touch anything, so we extend your equity instead of overwriting it.

No one can honestly guarantee a specific citation, AI models choose sources dynamically and their logic isn't fully public. What we can commit to is measurably improving the signals that drive citation likelihood, and we report transparently on mention frequency and share of voice so you always see real progress, not promises.

Start a project with us and we'll run an AI-visibility audit, benchmarking where your brand currently shows up (or doesn't) across the major generative engines. From there we scope a prioritized roadmap of quick technical wins and content production so you can see momentum within the first month.