How the audit works

What we check: We fetch your robots.txt and check whether GPTBot, ClaudeBot, and PerplexityBot are allowed to crawl your pages.

Why it matters: If a crawler is blocked, the model never reads your content, so it cannot quote you. This is the most common reason a site is invisible in AI answers.

What we check: We check whether your key pages state their main answer in the opening section, before long context or narrative.

Why it matters: AI answers are assembled from extractable passages. A page that buries its answer under an anecdote gives the model nothing clean to quote.

What we check: We look for a question-and-answer section or FAQBlock markup matching the queries your page targets.

Why it matters: Question-shaped headings map directly onto how people ask AI assistants. A page that answers those shapes literally is easier to lift from.

What we check: We look for dates in your content and sitemap (dateModified, <time> tags, lastmod) and check whether the last update is under 90 days old.

Why it matters: Fresh, dated content earns roughly 1.8x more citations. Answer engines prefer recently-updated sources, especially for time-sensitive queries.

What we check: We check for a named author with a bio page, linked from the article with author markup.

Why it matters: Answer engines weight content from identifiable, credible authors higher. Anonymous content is cited less and outranked by attributed rivals.

What we check: We check that your site links its identity to external profiles — sameAs connections to places like LinkedIn or GitHub.

Why it matters: Entity links let models confirm your site belongs to a real person or organisation, which is a prerequisite for being cited as a source.

What we check: We measure keyword frequency across your text and flag pages where any term is unnaturally dense.

Why it matters: Keyword stuffing reads as manipulation and measurably reduces citability. Natural prose is what gets quoted verbatim.

What we check: We parse your JSON-LD blocks and check they are valid and readable.

Why it matters: Hygiene, not a citation lever: engines extract facts from visible text, and controlled studies find no direct ranking effect. But valid JSON-LD helps engines resolve WHO you are — we weight it small and honestly.

What we check: We check for an Organization or Person JSON-LD block that states who runs the site.

Why it matters: Without an entity block, an engine cannot resolve who is behind the content — a prerequisite for citing it as a credible source.

What we check: We confirm the site is served over HTTPS.

Why it matters: Plain HTTP is distrusted or refused outright by crawlers and browsers. No HTTPS means effectively no visibility in AI answers.

What we check: We check for a <link rel="canonical"> tag pointing at the preferred version of the page.

Why it matters: Without a canonical, duplicate versions of your content can outrank the original — and the engine may cite the copy, not you.

What we check: We check for a viewport meta tag so the page renders correctly on mobile.

Why it matters: Crawlers index mobile-first. A page with no viewport is downgraded before content quality is even considered.

What we check: We verify og:title, og:description, and og:image are present and well-formed.

Why it matters: OpenGraph data is how your content is summarised when shared and how models pick up a clean headline description of the page.