AI citation gap audit
AI visibility trackers show where competitors get mentioned. RankFortune handles the earlier diagnostic step: which prompts, source pages, proof blocks, and third-party citations are missing before a brand can improve share of voice.
When AI engines recommend competitors, the problem is often not the prompt tracker. It is missing evidence: no comparison page, weak proof content, thin docs, or too few third-party sources that confirm the brand's category and use case.
ChatGPT, Perplexity, Gemini, and Claude can surface different sources for the same buyer question. A useful audit groups gaps by model and source type so teams know whether to strengthen first-party pages, external listings, reviews, or community proof.
Instead of stopping at citation counts, the report maps missing sources to concrete pages, FAQ answers, schema blocks, internal links, and outreach targets that can raise future AI visibility metrics.
FAQ
It is a review of the prompts, source pages, competitor mentions, and proof signals that explain why AI search engines cite competitors more often than your brand.
Monitoring tracks movement over time. A citation gap audit identifies the missing sources and pages that should be fixed first so monitoring can lead to action instead of repeated reports.
Start with first-party FAQ, comparison, use-case, docs, pricing, and proof pages, then add credible third-party listings, reviews, and community mentions where AI engines already find competitors.