Audits & Reporting
Detailed Agentic AI Readiness Audit Report
Find out exactly why AI does — or doesn't — recommend you.
AI assistants and answer engines now sit between your brand and your buyers, and most sites have never checked whether they're even reachable by the bots doing the deciding. This audit measures how well your site is positioned for AI-crawler visibility (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and more) and agentic discovery — then tells you precisely what to fix, in priority order.
It combines a bounded server-side crawl, deep HTML/schema analysis, and an optional AI qualitative layer into a branded report that's honest about what's measured vs. simulated. It's the productised, deeper version of the free tool on this site — human-reviewed, mapped to a roadmap, and built for a stakeholder audience, not just an engineer.
This matters because agent readiness and answer-engine citation are governed by overlapping but distinct signals: crawler access is a gate (fail it and nothing else matters), while structured data, entity clarity, and content extractability determine what happens once a bot gets in. Content with well-implemented schema shows up to 2.5x more often in AI-generated answers, and sites with a complete tier-one schema set (Organization, Article, FAQPage, HowTo, BreadcrumbList) see meaningfully more AI Overview appearances than sites without it. This audit checks both layers — access and comprehension — because either one failing quietly means the other doesn't matter.
What you get
Outcomes, not activity
An AI-readiness score across navigation, task-completion, and product-discovery pillars
Crawler-access grid: which AI bots can (and can't) retrieve you, and why — tested, not assumed
Agent-discovery gaps: llms.txt, structured data, well-known manifests, content negotiation
A schema completeness check against the types that correlate most with AI citation
A prioritised roadmap to become the answer AI cites, not just a page it can technically reach
Deliverables
What's included
AI-crawler access analysis
12+ real AI user-agents tested against your robots.txt, CDN, and edge rules — including bots that are commonly blocked by default WAF configs without anyone noticing.
Structured-data & entity readiness
How legible your entities and answers are to LLMs and answer engines, benchmarked against the schema types shown to correlate most with citation eligibility.
Agent-discovery checklist
llms.txt, /.well-known manifests, MCP/API discovery, and markdown content-negotiation support — the emerging infrastructure layer for agentic access.
Content extractability review
Whether your key pages answer questions in a format a model can cleanly lift — or bury the answer under paragraphs of throat-clearing.
Executive summary + roadmap
A human-reviewed narrative with an impact-ranked fix list, written for a decision-maker, not just a developer.
How it works
The process
Scoped crawl
Bounded discovery + deep analysis of your key templates, not a blind full-site crawl that buries the signal.
AI-visibility scoring
Pillar scoring against 28+ signals, re-verified against the current AI-crawler landscape at the time of the audit — this space changes fast enough that stale checklists actively mislead.
Qualitative review (optional)
A structured AI-assisted read of whether your top pages would plausibly get cited for their target prompts, alongside the technical scoring.
Report + roadmap
Branded report with a prioritised path to AI citation, delivered with a walkthrough call.
Fit
Who this is for
- Brands losing share to AI Overviews, ChatGPT, and Perplexity answers
- Agencies adding an 'AI visibility' line to their offering without building the expertise in-house
- Founders who want to be the source AI recommends in their category, not just a link it might show
- Sites that recently changed CDN, WAF, or bot-management rules and need to confirm AI crawlers weren't accidentally blocked
Proof
See it applied
Digital growth agency · North America (anonymised, NDA)
White-Label SEO Fulfilment for a Growth Agency
An agency won SEO-heavy clients faster than it could staff. Ghost-partner delivery gave it senior output under its own brand.
Read the case studyFAQ
Common questions
Is this the same as the free audit tool on your site?+
Same underlying engine, deeper delivery: human review, a written executive summary, and a prioritised roadmap. The free tool is the instant snapshot; this is the strategic report built for a stakeholder or client presentation.
What AI crawlers do you check?+
GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User, PerplexityBot, Google-Extended, Applebot-Extended, and more — the exact list is re-verified against the current AI-crawler landscape each engagement, because new agents and naming conventions appear regularly.
Will you tell me what's real vs. simulated?+
Always. The report is explicit about measured signals (crawler access, schema validity, structured-data presence) vs. modelled estimates (likely citation behaviour) — no fake 'AI clicked your button' theatre dressed up as a metric.
Can a site pass this and still not get cited?+
Yes — this audit measures readiness (can AI systems access and understand you), not guaranteed outcome (will they choose to cite you over a competitor). Readiness is the prerequisite; ongoing AEO work is what closes the remaining gap, which is why this pairs naturally with Monthly AEO Services.
How is this different from a general SEO audit?+
A technical SEO audit optimises for Googlebot and traditional ranking. This audit specifically tests the AI-crawler landscape (a different, growing set of bots with different access patterns) and the structured-data/extractability signals that determine AI citation eligibility — a related but genuinely distinct discipline.
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Let's talk about detailed agentic ai readiness audit report
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