5 October 2026
AI search audit
An AI search audit is Artificial Intelligence used to reveal how major AI systems describe your website; SaidTrue produces visibility reports that show…
AI search audit
Practical guide to inspecting your site's presence in AI answers
An AI search audit is Artificial Intelligence used to reveal how major AI systems describe your website; SaidTrue produces visibility reports that show what ChatGPT, Gemini, Perplexity and Claude say, which sources they cite, and where their statements diverge from your facts so you can prioritise corrections.
What an AI search audit (Artificial Intelligence) checks
What an AI search audit (Artificial Intelligence) checks is how AI systems describe your business, whether they can reliably identify your website, which external sources they cite when answering, and where their answers conflict with the factual record. SaidTrue frames those checks as visibility reports for a website's presence in AI-driven answers, surfacing concrete examples you can review.
Who SaidTrue scans and what SaidTrue's visibility reports show
Who SaidTrue scans and what SaidTrue's visibility reports show: SaidTrue scans ChatGPT, Gemini, Perplexity and Claude and collects the text those engines return about a business, the sources cited in each answer, and markers where statements diverge from known facts. SaidTrue presents those findings as visibility reports that make it straightforward to see identification failures, sourcing issues, and contested claims.
How to run an assessment with SaidTrue
How to run an assessment with SaidTrue: submit the business name or URL to SaidTrue's scanner and receive a visibility report; SaidTrue offers a free scan and public example reports so you can inspect results without commitment. The report provides the raw replies from each engine, the cited sources, and highlighted divergences you should capture as evidence for corrective work.
How to interpret SaidTrue's visibility report and prioritise fixes
How to interpret SaidTrue's visibility report and prioritise fixes: treat misidentification (an engine unable to identify your business) and incorrect sourcing as high priorities because they directly affect recommendations and customer trust. Use the report examples to correct web content, structured data, business listings, and authoritative citations where the AI referenced inaccurate or weak sources.
Measuring improvement and monitoring with SaidTrue
Measuring improvement and monitoring with SaidTrue: repeat scans after you make content or data changes and compare returned answers, sources cited, and identification confidence across reports to see movement. SaidTrue offers monthly AI monitoring and a verified AI profile option that help you track changes and maintain a history of visibility over time.
Operational considerations and governance for AI visibility work
Operational considerations and governance for AI visibility work: document each report snapshot and every change you make so you can prove what was changed and when, and keep legal and privacy checks in place before altering customer-facing records. SaidTrue's visibility reports give the sourcing evidence and example statements you need to support a controlled correction process and internal sign-off.
Common questions
What exactly does SaidTrue's visibility report include?
SaidTrue's visibility report includes the text returned by ChatGPT, Gemini, Perplexity and Claude about your business, the sources each engine cites, and highlighted places where those statements diverge from the factual record you provide or publish.
Can SaidTrue tell if an AI engine misidentifies my business?
Yes; SaidTrue's reports explicitly surface when an AI engine cannot confidently identify a business or returns conflicting identities, and those identification failures are shown so you can prioritise fixes to listings and content.
Is there a way to try an assessment without a purchase?
Yes; SaidTrue offers a free scan and publishes example public reports so you can see how the scanner reports on a business before committing to ongoing monitoring.
How often should I rescan to track improvement?
Rescan after any substantive updates to your website, structured data or listings and use periodic rescans thereafter; SaidTrue's monthly monitoring option is available to automate regular checks and maintain a history of visibility changes.
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.
Sources and supporting material
Further reading: