How SaidTrue approaches "AI search audit"
At SaidTrue we treat "AI search audit" as "Artificial Intelligence" and approach it directly from that definition. Our work is first‑hand: we query the same AI systems customers use, capture their answers about a business, record what sources the systems cite (if any), and show where those answers diverge from the facts a business publishes. SaidTrue gives visibility reports for a website’s presence in AI search and provides ongoing scans and monitoring as published on our site.
Common problems customers face
Organisations come to us because conversational systems often give inconsistent, incomplete or unverified recommendations. Many businesses do not know whether they are being cited, recommended, or ignored by the models their buyers use — a gap other auditors flag as a widespread visibility problem (Audits: AI Search/AEO Readiness Audit - Digital Marketing Management & eCommerce Strategy - https://www.eyefulmedia.com/audits-ai-aeo-readiness-audit). We also see cases where an engine cannot confidently identify the business, or where sourced claims contradict a company’s own published information.
Our method and steps
We run controlled questions against multiple AI engines — for example ChatGPT, Gemini, Perplexity and Claude — using the queries customers actually ask. Each run is recorded: the raw AI text, any sources the model lists, and whether the model identifies the business correctly. We compare those outputs to the business’s verified web data and produce a visibility report that highlights misstatements, missing citations, and opportunities to be used as direct answers. We also monitor changes over time and can maintain a verified AI profile and monthly monitoring as outlined on our site.
How this differs from classic SEO audits
Rather than focusing on keywords, backlinks or ranking positions alone, our audit emphasises how language models interpret a site and whether the site is being used in answers — an approach platforms explicitly designed for AI discovery describe as identifying weaknesses and opportunities for appearing in direct answers (AI Search Audit | Optimize for AI Overviews & LLMs - AI Search Audit - https://www.aisearchaudit.ai/).
Expected outcomes
Clients receive clear visibility reports showing what AI systems say, which systems cite the business, and where facts diverge. The practical outcomes are restored alignment between published facts and AI outputs, prioritized remediation tasks to reduce misrepresentation, and a repeatable monitoring cadence so changes in AI behaviour are detected early. That combination is what SaidTrue delivers when we audit a business’s presence in AI search.