Content structured for extraction, not just reading
Direct answers, definitions, comparison tables, TL;DRs and step formats that AI answer engines can lift verbatim - with source attribution back to your site.
AI systems now sit between your buyers and the search results page. Winning classic Google is no longer enough - you also need to be the source those models trust, cite and recommend.

AI search optimization (sometimes called Generative Engine Optimization or GEO) is the discipline of making your brand a preferred, cited answer inside AI-powered search experiences: Google AI Overviews, ChatGPT Search, Perplexity, Gemini, Claude and Copilot. It combines classic SEO, structured content, entity signals and off-site authority so the models trust and quote you.
Direct answers, definitions, comparison tables, TL;DRs and step formats that AI answer engines can lift verbatim - with source attribution back to your site.
Wikidata, Wikipedia, Google Knowledge Panel, LinkedIn, Crunchbase and industry directories aligned into a single, unambiguous entity signal.
Reddit, Quora, YouTube, LinkedIn, industry publications and community forums - the places large language models weigh heavily as evidence.
FAQ, HowTo, Article, Product, Organization and Speakable schema tuned for AI extraction, tested on real SERPs and generative interfaces.
Prompt-based tracking across ChatGPT, Perplexity, Gemini and Google AI Overviews, so you know when a competitor is being cited instead of you.
AI results shift faster than blue links. We measure weekly, publish weekly and correct positioning inside models before your competitors notice.
AI models don't scan pages - they retrieve entities. We engineer the entity graph they read.
Schema, tables, lists and semantic HTML that RAG pipelines can parse and cite verbatim.
Q&A pairs, definitions, comparisons and how-to structures that map directly to prompt patterns.
Third-party mentions and links in the sources AI models were trained and grounded on.
E-E-A-T signals - bylines, credentials, reviews - that models weight when picking who to cite.
Track when and how your brand is being surfaced across ChatGPT, Gemini, Perplexity and Overviews.
Priced by market competitiveness and how many answer engines you need to influence.
Deep AI answer audit across ChatGPT, Perplexity, Gemini and AI Overviews, entity cleanup, schema deployment and a first wave of answer-first content.
Brands that want to test AI search before committing to a retainer.
Get a quoteOngoing AI answer engineering, off-site citations, weekly prompt tracking and content refreshes tied to what the models are surfacing.
Category leaders defending share of voice in AI answers.
Get a quoteMulti-product AI visibility, custom prompt cohorts, competitor tracking, PR and thought-leadership integration.
Enterprises whose product decisions are being made inside AI chats.
Get a quoteWe will run a live prompt sweep across ChatGPT, Perplexity, Gemini and Google AI Overviews and send you the raw findings.
It shares 70% of the signals - technical health, entity clarity, authority - and adds a distinct 30% around answer-shaped content, RAG-friendly structure and citation footprint. We run them as one program.
Share of AI answer - how often your brand is cited, mentioned or recommended for your target queries, across the top AI systems. We report it weekly.
No. AI systems and search engines are increasingly the same funnel. Winning both grows total qualified pipeline; losing AI while winning search is now a leaking-bucket problem.
We will map every place your customers look for a business like yours, then show you exactly what it takes to own that visibility.