AI Search Optimization (GEO & AEO)
AI search engines now generate 527% more referral traffic than a year ago, and roughly 75% of the links inside a Google AI Overview come from pages already ranking in the top 12. GEO and AEO make sure the page they pull is yours. We implement llms.txt, engineer structured data for AI extraction, restructure content into answer-first format, and track your share of voice across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews. Monthly reports cover fan-out queries in Search Console, AI referral traffic in GA4, and a prompt-level scorecard against your three closest competitors. We built this service after proving it on our own site, and we published the results as a case study.
What's Included
- llms.txt and llms-full.txt creation and deployment
- AI crawler access audit across the 16 known user agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest)
- Schema.org entity graph and structured data engineered for AI citation
- AEO content restructuring: answer-first paragraphs, FAQ blocks, entity-rich headings, speakable markup
- Off-site citation building on the third-party pages AI engines actually quote (directories, ranked lists, review platforms)
- Monthly AI visibility scorecard: prompt-level share of voice, Search Console fan-out queries, GA4 AI referral traffic
Best For
Frequently Asked Questions
What is GEO, and what is AEO?
GEO (Generative Engine Optimization) is about being cited inside a generated answer: ChatGPT, Perplexity, Gemini, Google AI Overviews. AEO (Answer Engine Optimization) is about being the extracted answer itself: featured snippets, People Also Ask, voice results. They run on the same raw material of structured data, clean entities, and answer-first writing, so we deliver them as one engagement rather than two invoices.
How is this different from SEO?
SEO earns the blue link. GEO and AEO earn the citation and the answer box. They are not alternatives: roughly 75% of the links inside a Google AI Overview come from pages already sitting in the top 12 organic results, so strong SEO is the entry ticket and GEO decides whether the engine quotes you or a competitor. Most clients run both.
How quickly will I see results?
Technical foundations go live in weeks 1 to 3, and AI fan-out queries can surface in Search Console within days. Content and AEO restructuring in weeks 3 to 6 builds citation momentum. Off-site citation work compounds across months 2 to 6. You get a scorecard every month, so you watch movement instead of waiting on a promise.
Can you prove this works?
Yes. We ran it on our own site first. Within 24 hours of deploying llms.txt, six distinct AI fan-out queries appeared in our Google Search Console. The full timeline and evidence are published at /case-studies/llms-txt-ai-search-visibility/, and the 47-check framework we run for every client is published at /blog/geo-audit-2026/.
Do you handle Romanian-language businesses?
Yes, and it changes the work. ChatGPT runs its background searches in English in roughly 78% of cases even when the prompt is written in Romanian, so a Romanian business needs its entities, schema, and off-site citations legible in both languages. We deliver bilingual GEO and AEO as standard, and this site is itself the worked example.
Is the AI Visibility Audit included?
Yes. Weeks 1 to 2 of the retainer deliver the same baseline assessment we sell standalone as the €500 AI Visibility Audit. If you ran the audit first, the €500 is credited in full to your first month, so it is never paid twice.
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- llms.txt and llms-full.txt creation and deployment
- AI crawler access audit across the 16 known user agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest)
- Schema.org entity graph and structured data engineered for AI citation
- AEO content restructuring: answer-first paragraphs, FAQ blocks, entity-rich headings, speakable markup