AI Visibility Scanner — GEO & LLM Optimization Checker
Enter any URL to get a scored report on how well your page is optimised for AI search engines and LLMs. Checks structured data, meta tags, content signals, and technical fundamentals — free, no signup required.
How the AI Visibility Scanner Works
- 1Enter a full URL (e.g.
https://example.com/blog/my-post). The scanner accepts any publicly accessible page — your homepage, a blog post, a product page, or a tool page. - 2Click Scan. Our server fetches the page HTML directly, then checks your
robots.txtandsitemap.xml— all in parallel so results are fast. - 3The scanner analyses 25+ signals across four categories: Technical, Meta & SEO, Content Signals, and Structured Data. Each check earns points toward a total score out of 100.
- 4Review your scored report with pass/warn/fail indicators for every check. Each finding includes a plain-English explanation and the specific fix needed to improve your score.
What Is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation is the practice of structuring web content so that AI-powered search systems — Google AI Overviews, Perplexity, ChatGPT Search, and similar tools — can accurately extract, attribute, and cite your content in their generated answers. Unlike traditional SEO, which optimises for ranking position in a list of links, GEO optimises for inclusion in AI-generated summaries that may not link at all.
The core difference: traditional search engines rank pages and let humans decide what to click. AI engines extract information from pages and synthesise an answer directly, often citing one or two sources. Pages with clear structure, explicit question-and-answer content, and machine-readable schema markup are disproportionately likely to be cited. Pages without these signals are effectively invisible to AI engines even if they rank well in classic search.
Tips to Improve Your AI Visibility Score
Add FAQPage schema first
FAQPage JSON-LD is the single highest-impact change for AI visibility. Mark up 4–8 questions per page in JSON-LD. AI engines parse these directly to extract answers — no natural language interpretation required.
Write explicit Q&A sections
Even without schema, natural-language FAQ sections help. AI engines look for question-answer patterns in HTML. A visible “Frequently Asked Questions” heading followed by clearly structured Q&As improves both schema and content signal scores.
Fix your meta description length
Keep descriptions between 120–160 characters. Too short and AI engines may generate their own snippet. Too long and it gets truncated. The optimal range signals that you wrote a deliberate, useful summary — not auto-generated filler.
Use a clear, keyword-first H1
Your H1 is the primary topic signal for any engine — human or AI. State the topic explicitly, include the primary keyword near the start, and keep it under 70 characters. One H1 per page only.
Add Organization or WebSite schema
Entity schemas anchor your brand in the AI knowledge graph. Add a WebSite schema with a SearchAction, and an Organization schema with your name, logo, and URL. These appear on most pages via a shared layout — one change covers the whole site.
Submit your sitemap to AI crawlers
Several AI companies — including OpenAI, Anthropic, and Perplexity — crawl the web independently. Ensure your sitemap.xml is at the root and listed in robots.txt so these crawlers can discover all your pages efficiently.
Frequently Asked Questions
What is AI visibility and why does it matter?
AI visibility refers to how well a webpage is optimised for AI-powered search engines and large language models (LLMs) like ChatGPT, Perplexity, and Google AI Overviews. These systems extract answers directly from web content, so pages with structured data, clear headings, FAQ schema, and detailed content are far more likely to be cited or surfaced. Optimising for AI engines — often called Generative Engine Optimisation (GEO) — is increasingly important as AI-generated answers displace traditional search result clicks.
What does the AI Visibility Scanner check?
The scanner checks four categories: Technical (HTTPS, page accessibility, canonical URL, robots.txt, XML sitemap), Meta & SEO (title tag length, meta description length, Open Graph tags, Twitter/X card), Content Signals (H1 presence, heading structure, content depth, FAQ content, structured lists), and Structured Data (JSON-LD presence, FAQPage schema, page-type schema, BreadcrumbList, Organization/WebSite schema). Each check earns points toward a total score out of 100.
Is my website data sent to a third party?
No. The URL you enter is fetched by our own server and the HTML is analysed on our infrastructure — no third-party AI services or external analysis APIs are used. The fetched HTML is processed in memory to generate your report and is not stored or logged.
Why is FAQPage schema so important for AI visibility?
FAQPage schema explicitly marks question-and-answer pairs in machine-readable JSON-LD. AI engines parse this directly to extract answers without needing to interpret natural language. Google uses FAQPage schema for rich results; LLMs and AI overview systems use it to identify authoritative answers to specific questions. It is the single highest-scoring check in our structured data category because its impact is disproportionately large.
What score should I aim for?
A score of 85 or above indicates strong AI visibility — your page has the signals AI engines look for. 65–84 is good with room for improvement. 40–64 means meaningful gaps that may prevent AI engines from citing your content. Below 40 indicates significant issues, typically missing structured data and meta tags, that should be fixed as a priority.
Why might the scan fail for my URL?
Common reasons: the URL is not publicly accessible (behind a login, VPN, or firewall), the server blocks our User-Agent, the page takes more than 15 seconds to respond, or the domain does not exist. If your page is behind Cloudflare or a WAF, it may block our server's fetch request. Try entering the full public URL including https://.
Does a high score guarantee I will appear in AI-generated answers?
No. The score reflects the presence of signals that AI engines use — it is not a direct measurement of AI ranking. Relevance, authority, and content quality also matter and cannot be fully assessed by a technical scan. However, fixing the gaps identified in your report removes barriers that prevent AI engines from citing your content, which improves your chances.
How is this different from a regular SEO audit tool?
Traditional SEO audit tools focus on ranking signals for classic 10-blue-links search results — page speed, backlinks, Core Web Vitals. This scanner focuses specifically on the signals that AI engines use to extract and attribute answers: structured data schemas, FAQ content, heading hierarchy, content depth, and canonical clarity. GEO optimisation overlaps with SEO but has different priorities.