Frequently asked questions

Citegrade helps websites and SaaS products get cited by ChatGPT, Perplexity, Gemini, and Claude. It scans your pages at the paragraph level, identifies why AI skips you, and provides prioritized fixes with one-click rewrites. Unlike monitoring tools that show dashboards, Citegrade tells you exactly what to change on your page.

Most AI SEO tools are dashboards — they monitor your brand visibility in AI search results but don't help you fix the page itself. Citegrade is different. It operates at the paragraph level, diagnosing specific citation blockers (vague claims, missing evidence, buried answers) and generating one-click fixes. The output is an improved page, not a chart.

Citation readiness is a score (0–100) that measures how likely an AI language model is to extract and cite your page when answering a relevant query. It evaluates six dimensions: Answer Clarity (does it answer directly?), Structure (is it extractable?), Evidence (are claims supported?), Specificity (is language concrete and quotable?), Coverage (does it cover the topic fully?), and Freshness (is it current and credible?).

Start with the pages where you want AI to recommend your product: your homepage, top landing pages, feature pages, comparison pages, and high-intent documentation. These are the pages ChatGPT, Perplexity, and Gemini pull from when users ask about your category. Citegrade audits any publicly accessible URL, but works best on pages with server-rendered HTML — not image galleries or JavaScript-only pages.

Yes. Citegrade is built for website and SaaS owners across verticals — B2B SaaS founders auditing landing and feature pages, ecommerce teams optimizing category and product pages, and agencies managing multiple client sites. The 6-dimension scoring framework applies to any page where you want AI to cite or recommend you.

No tool can guarantee citation by a specific AI model — LLM behavior depends on training data, query context, and model architecture. What Citegrade does guarantee: pages that are more specific, evidence-backed, and structurally extractable than before the audit. That's the editorial floor that makes citation possible.

Citegrade optimizes for citation patterns common across ChatGPT (GPT-4), Claude, Gemini, and Perplexity. The analysis focuses on universal extractability — specific entities, verifiable claims, structured evidence, semantic clarity — rather than reverse-engineering any single model. These principles apply across current and emerging AI search systems.