Frequently asked questions

What is a GEO audit?

A GEO (Generative Engine Optimisation) audit analyses how well a website is structured to be discovered, understood and cited by AI-powered search systems such as Google AI Overviews, Perplexity and ChatGPT. It evaluates dimensions including structured data, content clarity, E-E-A-T signals, entity coherence and crawler accessibility — the factors that determine whether an AI system treats a page as a trustworthy source.

What is an AIO score?

An AIO (AI Overview Optimisation) score measures how likely a webpage is to be selected and cited in an AI-generated search response. CiteSite calculates this score across six weighted dimensions: structured data, content quality, E-E-A-T signals, entity coherence, technical accessibility and metadata quality.

Is CiteSite free to use?

Yes. CiteSite is completely free. Enter any URL and receive a full GEO, SEO and AIO audit with dimension scores and prioritised recommendations. No account, email address or credit card is required.

How does CiteSite analyse a website?

CiteSite fetches the submitted URL, extracts the page content and structured data, then passes both to the Claude API (by Anthropic) alongside a structured six-dimension audit rubric. The model evaluates each dimension, assigns a score with a confidence level, and returns prioritised recommendations with specific remediation steps.

What are the six audit dimensions?

  1. Structured data — the presence and quality of JSON-LD schema markup.
  2. Content quality — clarity, depth and answerability for AI systems.
  3. E-E-A-T signals — visible evidence of experience, expertise, authoritativeness and trustworthiness.
  4. Entity coherence — how clearly the site establishes its named entities and relationships.
  5. Technical accessibility — crawler access, SSR status, robots.txt and llms.txt.
  6. Metadata quality — title tags, meta descriptions and Open Graph completeness.

How does structured data affect AI search visibility?

Structured data — implemented via JSON-LD schema markup — converts ambiguous HTML into explicit, machine-readable facts. AI search systems use these facts to identify entities, verify claims and decide whether to cite a page. Without schema, an AI system must infer what a page is about from unstructured text. With it, the facts are stated directly: who the author is, what the content describes, when it was published and how it relates to other entities in the graph. This directness significantly increases citation probability.

How is CiteSite different from traditional SEO tools?

Traditional SEO tools optimise for keyword rankings by measuring backlinks, keyword density and technical crawl health. CiteSite optimises for answerability — the probability that an AI system selects your page as a cited source. This requires measuring different signals: entity clarity, schema depth, E-E-A-T credibility and content structure. The two approaches are complementary: CiteSite addresses the layer that traditional tools do not cover.