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Get cited in ChatGPT, Perplexity, and Google AI Overviews

GEO & AI Search Optimization

Generative Engine Optimization (GEO) for crypto and Web3 brands: structured content, knowledge graph signals, and authority building that get your project cited inside AI-generated answers.

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From $3,000 / month · GEO audit + strategy from $2,500

A major shift is underway in how people discover products, projects, and information. A growing proportion of users now ask ChatGPT or Perplexity before they open Google, and many never reach the search results page at all. For crypto projects, this means a portion of your potential audience now forms their first impressions of your project from an AI-synthesised summary rather than from your own website or marketing materials.

Generative Engine Optimization is the discipline of ensuring your project is cited accurately and favourably in those AI-generated answers. The optimisation levers are specific: answer-capsule content structure, schema markup, entity recognition through Wikipedia and Wikidata, and citation source building through press and authoritative directories. These signals are different from traditional SEO ranking factors, though they are complementary.

We audit your current citation rate across ChatGPT, Perplexity, Claude, and Google AI Overviews on the 50 queries most relevant to your project, then build a structured programme to improve that rate. Monthly tracking shows the citation percentage trend over time, giving you a measurable return on every piece of GEO-optimised content and every citation source we build.

Answer-capsule content architecture

AI engines extract self-contained answers. We restructure your content around 30-60 word answer capsules placed directly under question-format headings — the exact format AI engines prefer to cite.

Knowledge graph signals

Wikipedia presence, Wikidata entries, schema markup, and authoritative third-party mentions build the entity recognition that determines whether AI engines know your project exists.

Cross-engine citation auditing

We track your citation rate across ChatGPT, Perplexity, Claude, and Google AI Overviews on target queries, and optimise against the specific signals each engine weights differently.

What's included

  • GEO audit: current AI citation rate across 50 target queries
  • Answer capsule content restructuring for existing key pages
  • New content creation optimised for AI citation extraction
  • Schema markup: FAQPage, HowTo, Article, and Organisation types
  • Wikipedia and Wikidata entity setup or improvement
  • Citation source building: press, directories, and data aggregators
  • Monthly citation rate tracking report across all major AI engines

Who it's for

Projects relying on top-of-funnel discovery

When users ask AI which DEX, which L2, or which wallet to use, is your project in the answer? If not, you are invisible to an audience that now skips the Google results page entirely.

Projects targeting research-heavy buyers

B2B buyers, institutional allocators, and technical users all use AI engines for research before purchase decisions. Being cited in those answers is the new first-mover advantage.

Brands with existing SEO but low AI visibility

Ranking on Google page 1 no longer guarantees AI citation. GEO is a separate optimisation layer even for sites with strong traditional SEO.

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Frequently asked questions

What is GEO and how is it different from SEO?

Generative Engine Optimization is the practice of structuring content and authority signals so that AI answer engines (ChatGPT, Perplexity, Claude, Google AI Overviews) cite your content when answering user queries. Traditional SEO optimises for ranking in a list of links. GEO optimises for inclusion in a synthesised answer. The two overlap significantly but require different content structures and citation-building strategies.

How do AI engines decide what to cite?

Each engine uses different signals, but the consistent factors across all of them are: content structure (self-contained answers under question headings), authoritative source signals (Wikipedia presence, established media mentions, schema markup), domain authority, and recency for time-sensitive queries. We optimise across all of these factors rather than guessing which single signal matters most.

How do you measure GEO performance?

We run weekly query sets across ChatGPT, Perplexity, and Google AI Overviews for your target questions and record whether your project is cited, mentioned, or absent. Over time, the citation rate percentage is your core metric. We also track position within the cited sources, as citations higher in an AI answer drive more traffic than citations buried in a footnote.

Can a new or small project compete for AI citations against established brands?

Yes for niche and long-tail queries, harder for generic category questions. AI engines are not purely popularity contests. A well-structured, accurate, and specifically relevant answer to a narrow question can beat a large brand's generic page. We prioritise the query segments where your project has a genuine edge rather than chasing head terms you cannot yet compete for.

How long does it take to see results?

Initial citation improvements on existing content typically appear within 4-8 weeks as AI engines re-index updated pages. Entity recognition improvements via Wikipedia and knowledge graph signals take 2-4 months to propagate fully. GEO compounds similarly to SEO: the authority built in month 3 makes month 6 optimisation significantly more effective.

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