An AI Visibility audit should not be a vague score or a checklist assembled independently from the report. DeepIntelli’s current Visibility Index has three contributors: Answer Presence, Share of Voice, and Website Readiness. Each contributor answers a different question, and each result should lead back to the probes or public pages used as evidence.
If you are new to the subject, start with what GEO is and why SEO is no longer enough. The methodology page explains how we calibrate probes, handle uncertainty, and review the method.
1. Answer Presence: does the brand appear in relevant AI answers?
Answer Presence measures observed outcomes. For the questions and platforms included in the audit scope, it records whether the brand appears in the answer and whether the answer cites a source that supports the mention.
The scope matters. A probe only says something about the exact question, market, language, platform, and collection time that produced it. The report therefore keeps the underlying answer evidence available instead of turning one observation into a universal claim.
In the report: the assessed questions, calibrated platforms, answer results, citations, and any unmeasured state that prevents a conclusion.
2. Share of Voice: how does that presence compare in the same evidence set?
Share of Voice compares the audited brand with named competitors across the same eligible answers. It is not a general market-share estimate. The denominator must come from the same probe set so a competitor is not credited for questions or platforms that were never assessed for the audited brand.
This view helps separate two situations that can look identical in a headline score: a category where few brands are mentioned at all, and a category where competitors consistently occupy answers that omit the audited brand.
In the report: the eligible comparison set, brand and competitor mentions, and the answers behind the comparison.
3. Website Readiness: can public pages be found, understood, and cited?
Website Readiness measures the public evidence surface that AI and search crawlers can inspect. It starts with crawlability and readable HTML, then evaluates whether important pages communicate their role, ownership, dates, sources, and relationships clearly enough for retrieval and citation.
The audit can inspect signals such as response status, crawler rules, canonical URLs, structured data, page language, page role, authorship, source links, and citation-ready passages. A page that is a login screen, private application route, duplicate canonical, wrong-language fallback, or non-HTML response should be excluded from the evidence corpus with a reason; it should not lower a public-site content score as though it were a weak marketing page.
In the report: the assessed entry URL, selected public pages and their roles, excluded pages with reasons, page-level findings, and the source URL for each machine-readable signal.
How findings become actions
The report follows a measurement loop: measure, identify a finding, create a plan only when action is needed, perform the work, and re-measure. A fixed signal should disappear from the next audit; a signal that was never measured should remain unknown rather than being presented as healthy.
That distinction keeps the report useful. Answer Presence tells you what AI answers currently do. Share of Voice provides a like-for-like competitive view. Website Readiness identifies public-site conditions that can be changed and verified. Together, the three contributors show both the observed outcome and the evidence surface that may explain it—without inventing precision the collected data cannot support.
DeepIntelli helps brands build measurable presence in AI-generated answers. Contact: contact@dpintelli.com | www.dpintelli.com/en