GEO & AI Visibility Readiness Score

Search is no longer just Google. ChatGPT, Perplexity, Gemini, and Claude are answering questions directly and they cite sources they trust. This free assessment scores your site across the five pillars that determine AI citation readiness: content structure, authority signals, schema markup, answer-first writing, and content freshness. Get your GEO and AEO score in under 2 minutes.

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Score by Pillar

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How the Score Works

Your score is calculated across five weighted pillars that reflect how AI language models evaluate, parse, and cite web content.

Pillar	Weight	What It Measures
Content Structure & Format	25%	Headings, FAQs, lists, definitional content
Authority & Trust Signals	25%	Entity recognition, media mentions, author E-E-A-T
Schema & Technical Setup	20%	Structured data, crawlability, sitemap hygiene
Answer-First Writing Style	20%	Direct answers, original data, clear positions
Freshness & Content Depth	10%	Publishing cadence, content updates

Score bands:

🟢 80–100 — AI-Ready: Strong positioning for generative engine citation

🟡 60–79 — Emerging Visibility: Good base, high-impact gaps to close

🟠 40–59 — Partially Visible: Indexable but inconsistently cited

🔴 0–39 — Low AI Visibility: Structural and authority work needed

What Is GEO and Why Does It Matter Now?

Generative Engine Optimisation (GEO) is the practice of making your content visible and citable within AI-generated answers, across LLM platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini. It sits alongside Answer Engine Optimisation (AEO), which focuses specifically on capturing zero-click, direct-answer placements.

AI platforms don’t use a ranking algorithm because they select sources based on entity trust, content parsability, and answer directness. A site can rank on page one in Google and still be invisible in AI answers if it lacks the structural and authority signals LLMs rely on.

Who Should Use This Assessment?

Content marketers auditing whether their editorial strategy is LLM-ready.

SEO professionals expanding their scope beyond traditional rankings to include AI answer engines like Perplexity and Google AI Overviews.

Digital marketing managers benchmarking their site before investing in a GEO or AEO content strategy.

Business owners who want to know whether ChatGPT or Gemini would ever cite their website.

FAQs

What is the difference between GEO and SEO?

SEO optimizes content to rank in traditional search engine results pages. GEO optimizes content to be cited or surfaced within AI-generated answers on platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini. GEO prioritises entity trust, content structure, and answer-first writing over keyword density and link volume.

What does AEO-ready mean?

AEO-ready means your content is structured to be selected as a direct answer by AI and voice search systems. This includes using FAQ schema, leading with the answer before expanding, writing in plain language, and covering questions at the depth AI models need to confidently cite a source.

Why doesn’t ranking on Google guarantee AI visibility?

AI language models are trained on and crawl the web independently of Google’s ranking signals. A well-ranked page that buries its answer, lacks schema, or has no external authority signals can be entirely invisible to LLMs. AI systems prefer content that is easy to parse, attributed to a credible entity, and written in a direct, answer-first format.

How do I improve my GEO score quickly?

The highest-leverage actions are: adding FAQ schema to key pages, restructuring content to answer the core question in the first two paragraphs, publishing at least one piece of original data or research, and ensuring your brand has a Wikidata entry or Google Knowledge Panel. These changes improve both AI citation frequency and traditional E-E-A-T signals simultaneously.

Does this assessment score work for every type of website?

The scoring framework applies to any site that publishes content with the goal of attracting organic or AI-driven traffic, including B2B service sites, SaaS products, e-commerce blogs, media publishers, and professional service firms. The pillars are platform-agnostic: they reflect how all major AI answer engines (ChatGPT, Perplexity, Gemini, Claude) evaluate source quality.