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GEO — optimization for generative search engines

Get ChatGPT, Perplexity and Google AI Overviews to cite your business when someone asks about what you do. It's the next frontier of visibility, and almost nobody is doing it well yet.

What GEO is (and why it's no longer optional)

GEO (Generative Engine Optimization) is the work of structuring your site and content so generative search engines — ChatGPT, Perplexity, Google AI Overviews, Claude — can read it, understand it, and cite it when someone asks a question related to what your business does. More and more people aren't typing keywords into Google — they're asking an AI directly and trusting the answer it gives them, without clicking through to any site. If your business isn't structured for those AI systems to find you and cite you with the right information, you simply don't exist in that conversation — even if you have the best site in the world for a traditional search engine.

What's included

›llms.txt

A file that gives AI engines a clear, accurate map of who you are and what you do.

›Citable content

Direct answers, clear definitions, verifiable facts — structured so an AI can repeat them with confidence.

›Structured data (schema.org)

Reinforcing the same information in a format AI systems can parse.

›AI-readable architecture

Content organized for people and language models alike.

›Mention monitoring

Checking whether and how generative AI is citing you.

How we work

01

Citability audit

We check whether your current content is something an AI could confidently cite, or if it's vague and generic.

02

Structure

We rewrite key content in a direct-answer format: what you are, who you help, why to choose you.

03

Technical implementation

llms.txt, structured data, clear headings, verifiable content.

04

Monitoring

We test real queries in ChatGPT, Perplexity and Google AI Overviews to see if the business shows up, and adjust.

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GameDay PPH

GameDay PPH was competing for high-volume search terms in a crowded pay-per-head niche, in two languages at once. The Next.js architecture includes programmatic SEO — comparison pages generated from real data, not copy-pasted one by one — structured data on every page, and an llms.txt so generative engines cite the platform with accurate context. The EN/ES bilingual setup isn't a translation layer bolted on top: it's two content trees, each with its own keyword structure.

gamedaypph.com ↗

FAQ

Does GEO replace SEO?

No, it complements it. Traditional SEO gets you ranked in search results; GEO gets you positioned inside the answers generative AI gives. More and more traffic is coming from that second place.

How do you measure whether it's working?

We test real questions a potential customer would ask ChatGPT, Perplexity and Google AI Overviews, and check whether your business shows up cited with correct information.

Does every business need GEO?

It makes the most sense for businesses where the customer researches before deciding — services, products people compare, anything where someone would ask an AI "which one do you recommend." For a business with 100% local foot traffic, local SEO matters more.

What is an llms.txt?

It's a file — similar in concept to a robots.txt — that gives AI engines a structured, reliable summary of who you are, what you offer, and where to find verified information, instead of letting the AI guess from scattered fragments of the site.

Is this just a passing trend?

It's a shift in user behavior, not a seasonal tactic. People are already changing how they look for information. Structuring your business for that reality now is cheaper than catching up later.

Want AI to find you when someone asks?

GEO is our differentiator — few do it well. Let's talk about whether your business is a good fit.

Talk about GEO →