Analyse a website for traditional SEO signals and Generative Engine Optimisation (GEO) readiness
Enter a URL to check the on-page signals search engines rely on, such as titles, descriptions, canonicals and structured data, alongside signals that help AI assistants find and cite your content, including llms.txt and crawler access. More free security tools.
On-page SEO signals — a unique title and meta description, a self-referencing or correctly targeted canonical tag, hreflang alternates, and structured data (JSON-LD) — tell search engines what a page is about and which URL to index when near-duplicate content exists. Missing or inconsistent canonical and hreflang tags are a common cause of the "duplicate content" and indexing issues Search Console reports.
Alongside classic SEO, this checker looks at the signals AI assistants and answer engines use to find and cite content: whether llms.txt is present, whether crawlers like GPTBot and ClaudeBot are allowed by robots.txt, and whether the page's structured data gives a model enough context to summarise it accurately. As more traffic arrives through AI-generated answers rather than a ranked list of blue links, these GEO (Generative Engine Optimization) signals matter alongside traditional SEO.
Want expert SEO and GEO strategy for your platform?
If you like this tool, Speak with OneFirewall