Most agencies describing their audit process describe it in the abstract, "we check your technical SEO, we look at AI crawlability." I want to show what that actually looks like on the page a client receives, because the format itself, not just the findings inside it, is part of what a partner agency is actually buying when they choose who to work with.
Report Header (As It Would Appear, White-Labeled)
AI Visibility Audit: [Client Domain, Redacted]
Prepared for: [Partner Agency Name]
Audit date: [Date] · Crawlers tested: 14 · Findings: 11 · Priority actions: 4
Every audit opens this way, the scope stated plainly before a single finding, so the reader knows immediately what was actually checked, not left to assume.
Section One: Executive Summary (The Part a Client Actually Reads First)
This domain is fully indexed by traditional search engines and ranks competitively for its core commercial terms. However, testing against 14 AI crawlers and retrieval bots found 4 of 6 priority AI search engines return zero citations for the client's core service categories, despite strong traditional organic visibility for the same terms. Root cause is a combination of incomplete Organization schema, missing sameAs cross-referencing, and a robots.txt rule inadvertently blocking two retrieval-only bots. All four are fixable without a content rebuild.
I write this section deliberately in plain, non-technical language, even though everything beneath it gets technical. A client-facing account manager needs to be able to read this paragraph aloud on a call and have it make immediate sense, before anyone opens the detailed findings below it.
Section Two: Findings Table (Sample Excerpt)
| Finding | Severity | AI Search Impact | Fix Complexity |
|---|---|---|---|
| Organization schema missing sameAs array | High | Blocks entity cross-referencing across LinkedIn, Crunchbase, review platforms | Low |
| robots.txt blocks PerplexityBot via outdated blanket rule | High | Removes site entirely from Perplexity citation eligibility | Low |
| FAQ content exists but lacks FAQPage schema | Medium | Reduces AI-answer extraction eligibility for 6 identified query clusters | Low |
| Core service pages lack answer-first paragraph structure | Medium | Content technically covers the topic but isn't structured for clean extraction | Medium |
| No llms.txt file present | Low | Missed opportunity, not currently a hard blocker | Low |
See a Real AI Visibility Audit Report (Redacted Sample) — self-check
Reviewed: 0/5 (0%)
Section Three: The Part Most Audits Skip, Root Cause Per Finding
This is the section I think actually separates a useful audit from a checklist. Every finding gets a plain explanation of why it happened, not just what was found, because a fix that doesn't address root cause tends to quietly reappear.
Why the robots.txt issue happened: A security plugin installed in 2024 added a blanket "block unrecognized bots" rule to prevent scraper abuse. PerplexityBot and two other retrieval bots weren't on the plugin's known-bot allowlist at the time it was configured, so they were caught by the blanket rule unintentionally. This is a common, easy-to-miss pattern, I find some version of it on a meaningful share of the technical audits I run, and it's almost never a deliberate decision anyone actually made.
Section Four: Prioritized Action List
1. Fix robots.txt bot allowlist (Est. 1 hour, unblocks 2 of 4 blocked engines immediately)
2. Add sameAs schema array to Organization markup (Est. 3 hours)
3. Add FAQPage schema to existing FAQ content (Est. 4 hours, no new content required)
4. Restructure top 6 service pages with answer-first opening paragraphs (Est. 8-12 hours, content rewrite)
Ordered by fix speed relative to impact, not just severity alone, because a client wants to know what moves fastest, not just what's theoretically most important in isolation.
Why I'm Showing This Instead of Just Describing It
I think there's a real, honest reason to show format rather than just claim quality, and it connects to something I've written about elsewhere: AI systems themselves increasingly favor content with real, specific structure over vague claims, and I think buyers evaluating a partner deserve the same standard I'm asking their content to meet. A generic paragraph promising "thorough audits" is exactly the kind of unverifiable claim that means nothing. A real, structured example is falsifiable, you can look at it and judge whether the structure and reasoning actually hold up.
This exact format runs as Phase 1 of the Ghost Partner Delivery System on every engagement, and the underlying technical checks are the same ones covered in more depth in AI crawlers explained and how AI Overviews choose what to cite.
Frequently Asked Questions
Is this an actual real client's audit, or a constructed example? Direct answer: The client name, domain, and specific identifying numbers are redacted or fictionalized to respect NDA confidentiality. The finding types, structure, and severity framing are representative of real, recurring patterns found across actual audits, not an invented methodology. How long does a full AI Visibility Audit like this typically take? Direct answer: Scope varies by site size and complexity, but a standard audit covering the sections shown here typically runs within the first phase of the Ghost Partner Delivery System, usually completed within the first one to two weeks of an engagement. Does every finding get this level of root-cause detail? Direct answer: Yes, for priority findings specifically. Lower-severity or informational findings get a lighter explanation, reserving the deepest root-cause analysis for issues that actually affect AI-search visibility materially. Can this report format be white-labeled for my agency specifically? Direct answer: Yes, that's the standard delivery format, styled to match the partner agency's own branding and voice before it ever reaches the end client. What happens after the audit, is the fix list something my team implements or something you handle? Direct answer: Both are possible depending on the engagement scope, some partner agencies want the audit and fix list to hand to their own developer, others want the full fix implementation handled as part of an ongoing retainer.If you want to see how this would actually look for one of your own client's sites, not a redacted sample, book a strategy call and I'll walk through what a real audit would surface.