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Generative Engine Optimization for US Businesses. Be the Cited Source.

Search changed. People ask ChatGPT, Claude, Gemini and Perplexity for answers, and the model picks a handful of sources to cite. Generative engine optimization is the technical discipline of being one of them.

As a specialist generative engine optimization agency, we engineer the structured data, entity signals and server-rendered HTML that AI models actually read. Rankings are not citations. You do not want a blue link on page one. You want the recommendation.

We also run the closely related disciplines: our AI SEO services cover the broader stack, and our AI visibility scanner measures the lot.

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Why You Are Not In The Answer

AI models pick a small, specific set of sources to cite. Everyone else is invisible. Here is why you are probably the everyone else.

JavaScript Walls

Your website renders client-side, so GPTBot and ClaudeBot see a blank page. Blank pages do not get cited.

Unknown Entity

You are not in Wikidata, not in the Google Knowledge Graph, and not linked to the people and places that define you. AI has no confidence to recommend you.

Unstructured Facts

Flowing marketing prose reads well to humans. AI cannot extract a clean fact from it. If the model cannot quote you, it will not cite you.

Ranking Without Citation

You can hold position one on Google and still be absent from ChatGPT, Perplexity and Gemini answers. Different engines, different rules.

The good news: all of these problems are fixable. The V.O.I.C.E. scanner identifies exactly which issues affect your site.

How Generative Engine Optimization Works

We fix the underlying technical signals that AI systems use to decide what business is the authority.

Citation Engineering - engineering specific citation signals
Schema & Structured Data - deep JSON-LD implementation
Entity Disambiguation - Wikidata and Knowledge Graph
Content Architecture - extractable factual statements
V.O.I.C.E. GEO Audit - measuring baseline visibility
Technical Foundation - SSR delivery and fast load times
Citation Monitoring - monthly tracking

It Works. Here Is the Proof.

ScopeSite used the V.O.I.C.E. methodology to make H4TLT the first UK hearing compliance business recommended by all four major AI platforms: ChatGPT, Claude, Perplexity, and Gemini. That result came from the exact generative engine optimization process we use for US businesses.

Read the H4TLT case study

Frequently Asked Questions

Common questions about Generative Engine Optimization

Generative engine optimization is the practice of structuring your website, schema and content so that generative AI models (ChatGPT, Claude, Gemini and Perplexity) cite your business when someone asks a question in your field. Traditional SEO targets a list of ten blue links. GEO targets the one or two sources the model actually names in its answer.

SEO fights for ranking on a search engine results page. GEO fights to be a citation inside a generative AI answer. SEO cares about keywords, backlinks and click-through rate. GEO cares about structured data, entity relationships, server-rendered HTML and whether the model can extract a clean fact from your page in the first place.

AEO (answer engine optimization) is about being the single extracted answer to a specific question. GEO (generative engine optimization) is broader, covering every technical and content signal that influences whether a generative model trusts and cites your brand. In practice the two overlap heavily, and most agency briefs use the terms interchangeably.

Generative models blend training data, real-time retrieval and entity confidence scoring. If your business is an established entity in Wikidata and the Google Knowledge Graph, has deep JSON-LD schema and is reachable via server-rendered HTML, you are more likely to be cited. If your site is a JavaScript shell with no structured data, the model has nothing to work with and picks a competitor.

Yes. Strong SEO gives you clicks from Google traditional results, but it does not guarantee a single citation inside ChatGPT, Gemini, Claude or Perplexity. Those platforms rank by entity confidence and extraction quality, not keyword density. GEO adds the structured data, content architecture and crawler access that AI models specifically require.

ChatGPT (OpenAI), Claude (Anthropic), Perplexity, Gemini (Google) and Google AI Overviews are the five platforms that matter for US businesses in 2026. The same structured data signals also help with voice search on Siri and Alexa, so the work carries over.

Perplexity typically starts citing correctly structured sources within 2 to 4 weeks. ChatGPT and Claude usually take 6 to 12 weeks as their retrieval layers pick up your new schema. Persistent citations, where the model names your business by default in a category, take 3 to 6 months depending on your starting authority.

Our GEO retainers start at $1,000 per month, covering ongoing schema maintenance, entity work, citation tracking and monthly reporting. A full AI-first website rebuild, if your current site blocks AI crawlers, starts at $3,500 as a one-off. The quote calculator at /us/pricing gives you an exact figure.

Ready To Be Cited?

Stop being invisible to generative AI. Find out what it takes to get recommended.