Your page is supposed to rank in AI. It does not. You have no idea why.
SEO audit tools tell you about meta descriptions and alt text. That is useful, but it is not why you are invisible in ChatGPT. AI visibility depends on things most SEO tools do not check: schema completeness, answer-first structure, entity clarity, server-side rendering, content depth.
The page audit checks all of it. In 15 seconds.
What you get
Paste a URL. The tool fetches the page, auto-detects the page type, and returns:
Overall score, 0 to 100. One number that tells you whether the page is ready to be cited by AI models or not. Most first audits land in the 40-60 range.
Page type detection. Product, Article, Homepage, FAQ, or Generic. The audit criteria change based on what the page actually is. A product page should have Product schema with price and availability. An article should have Author and datePublished. FAQ pages should have Question and Answer entities. The tool figures this out automatically and scores accordingly.
Three category cards, expandable:
- SEO. On-page technical signals. Meta tags, heading structure, internal linking, image alt text, title length.
- Schema. JSON-LD completeness. Which types are present, which properties are filled, which ones are missing for your detected page type, primary schema match.
- GEO. AI readiness specifically. Answer-first structure, entity signals, server-side rendering, content clarity, citation-friendly formatting.
Word count and page metadata. Because AI models often rely on content depth as a signal.
Primary schema badge. Whether the schema type you have matches the detected page type. A product page with Article schema is worse than one with no schema at all.
The SPA warning
Some pages are built as single-page applications. The HTML the server returns is mostly empty; JavaScript renders the content in the browser. This is fine for users. It is fatal for AI crawlers.
Most AI models do not execute JavaScript when crawling. They see whatever the server returns. If the server returns an empty shell, the AI model sees an empty shell, no matter how rich the final rendered page looks in a browser.
The audit detects common SPA patterns and flags it. If your page shows a SPA warning, improving content and schema will not help your GEO score because the AI never sees any of it. You need server-side rendering or pre-rendering first. Everything else is downstream of that.
How the GEO score works
Traditional SEO audits focus on signals Google's algorithm cares about: keyword density, backlink profile, page speed. Those still matter.
The GEO score looks at different signals that AI models actually use:
Answer-first structure. Does the first paragraph under each heading directly answer the question the heading implies? LLMs frequently pull from the first sentence or two of a section when extracting answers. If you bury the answer in paragraph four, you are invisible to that extraction.
Entity clarity. Are key entities (your brand, product names, people, locations) mentioned explicitly and consistently? LLMs build entity graphs from clear, repeated references. Ambiguous pronoun-heavy content does not make it into the graph.
Content depth. Is there enough substance for an LLM to form a reliable summary? Thin pages (under 300 words) often get ignored entirely by citation-based models like Perplexity.
Citation-friendly formatting. Headings that pose questions, short paragraphs, lists for enumerable content, clear data presentation. LLMs favor pages they can easily extract structured answers from.
Structural clarity. Heading hierarchy that reflects the actual structure of the content, not just visual styling. LLMs use heading structure as a table-of-contents signal.
When to use the audit
Before publishing. Run the audit on your draft (if you have a staging URL) before you ship. Fixing GEO issues before launch is cheaper than reworking a live page.
Auditing your top pages. Run it on your top 10 pages by traffic. Usually 2 or 3 have easy fixes that move the score significantly.
Client pitches. Consultants use it as a quick diagnostic. Audit the prospect's best-converting page and show them the GEO gaps in the discovery call. Fixing the issues becomes the first-month deliverable.
Competitor analysis. Audit a competitor's highest-ranking page. See what they do well, what they miss. Use it to scope your own optimization.
After a redesign. New site designs often break GEO signals (SPAs, removed schema, shifted heading structure). Audit the key pages after any major redesign to catch regressions.
What the audit will not catch
The audit is a page-level tool. It will not:
- Tell you if the content actually gets cited by LLMs (that requires running prompts and tracking mentions, which is what Mentionable's full tracking does)
- Audit authentication-protected pages
- Evaluate off-page signals like backlinks or citations from other sites
- Suggest content to write (the Mentionable app has Content Opportunities for that)
It is a fast diagnostic, not a strategic plan. For strategic work, the full Mentionable platform pairs page audits with tracking, competitor analysis, and AI Insights.
Try it yourself
Paste any URL. See your score. Fix the gaps. 15 seconds per page.
Related articles
- Free Schema Generator - generate the schema markup the audit flags as missing.
- Free llms.txt Generator - complement page-level optimization with site-wide AI-readable context.
- AI Insights - get actionable recommendations based on your tracking data, not just page audits.