Free AI SEO Checker

GEO (Generative Engine Optimization) is the practice of optimising your website so that AI language models like ChatGPT, Perplexity, and Gemini cite it as a source in their answers. It is the AI-era equivalent of traditional SEO but instead of ranking in a list of blue links, the goal is to be referenced verbatim in a conversational AI response. GEO is sometimes called AI Search Optimization, AIO (AI Optimization), or LLMO (LLM Optimization).

These terms all describe the same emerging discipline but come from different communities. GEO (Generative Engine Optimization) is the academically coined term gaining traction fast. AI Search Optimization is the plain-English marketing version. AEO (Answer Engine Optimization) is older — it originally covered voice search and featured snippets, but the SEO industry is repurposing it for AI. LLMO (LLM Optimization) is the developer and technical crowd's label. AI Visibility is used by enterprise SEO platforms like BrightEdge. At Uptrue we use "AI Visibility" for the dashboard feature and "AI SEO" for the free tool because they are the most broadly understood terms across all audiences.

Enter your website URL and our server fetches your robots.txt and homepage HTML in real time. We run 30 checks across 4 categories: AI Crawler Access (can bots like GPTBot and PerplexityBot reach you?), AI Content Structure (is your content formatted for AI extraction?), Trust and Authority (do you have the E-E-A-T signals AI engines rely on?), and Schema & Technical (is your structured data correctly implemented?). The result is a 0–100 AI readiness score with specific fixes for every issue found.

No. AI crawlers like GPTBot, ClaudeBot, and PerplexityBot are polite bots that respect your crawl-delay settings in robots.txt. They visit infrequently — typically a few pages per day — and have no measurable impact on site speed or real visitor experience. In contrast, blocking them means you are invisible to the fastest-growing traffic source on the web.

llms.txt is an emerging open standard (proposed by fast.ai) for a plain text file placed at yourdomain.com/llms.txt. It works like a README for AI — giving language models a structured summary of what your site is about, what pages exist, and how your content can be used. Sites with a well-written llms.txt are more likely to be cited accurately, more frequently, and with correct attribution by AI assistants. Think of it as the robots.txt of the AI era. Sign up free to generate a tailored llms.txt from your Uptrue dashboard.

AI Citation Monitoring tracks whether AI engines are actually citing your website when users ask questions in your niche. You give it target keywords, it queries AI engines like Perplexity (which provides explicit citation URLs) and analyses whether your domain appears in the responses. This moves beyond technical readiness into actual AI search presence measurement — showing you which topics you're winning and which competitors are being cited instead. Available with an Uptrue account.

Traditional SEO optimises for ranking in a list of blue links on a search engine results page. AI SEO (or GEO) optimises for being cited in a conversational AI answer. The ranking signals are different: AI engines weight structured data, explicit authorship and E-E-A-T signals, clear question-and-answer formatting, and freshness — rather than backlink count or keyword density. AI engines also consume your robots.txt and are beginning to use llms.txt as a direct instruction file. A site that ranks well on Google can still be invisible to AI search if it blocks crawlers or lacks structured content.

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — originally a Google quality guideline, now adopted as a key signal by AI engines when deciding which sources to cite. Practically, this means: named author or byline, an About page that explains who you are, a Privacy Policy and Contact page, links to and from credible external sources, and consistent presence across the web. AI engines prefer to cite sources they can verify as legitimate. Your AI brand presence — how you appear across the web as a credible source — directly affects whether AI answers reference you.

Yes. Enter any publicly accessible URL — your homepage, a specific blog post, a product page, or a landing page. Each page is checked independently. A blog post, for example, should also have Article or BlogPosting JSON-LD schema, an author name, and a publication date — checks that would not be expected on a homepage.

After any major site change — a robots.txt edit, new schema added, structural redesign, or new content published. For ongoing AI search presence monitoring, set up an Uptrue AI Citation Monitor to track your visibility automatically. Your technical readiness score is a foundation; the citation data tells you whether it is actually translating into AI search referrals.

AI search presence is the aggregate measure of how often and how accurately AI engines cite your website in responses — combining technical readiness, content quality, and actual citation frequency. To improve it: first fix your AI readiness score (this tool tells you exactly what to fix), then generate and deploy your llms.txt, then use structured content with clear question-and-answer headings, and finally monitor actual citations with a tool like Uptrue AI Citation Monitor to see what is working.