The AXO Diagnostic maps your site against the real questions enterprise buyers ask Claude, ChatGPT, Perplexity, and Gemini. Executive-grade analysis across the full buyer journey.
AI systems match buyer questions to content using vocabulary overlap. Of the six canonical terms enterprise B2B buyers use to describe your category, you cover three well. The rest live in your competitors' content.
Analyzing highest-scoring content…
Analyzing vocabulary gaps…
Identifying biggest gap…
Analyzing vocabulary gaps…
We tested 100 real buyer questions, weighted by where your journey is weakest. The presence curve has a distinct shape: strong at Aware, strong at Decide, a cavern at Compare.
Analyzing Aware stage performance…
At the Decide stage, AI cites your content when buyers have already short-listed you and are validating. That's defensive value — it matters — but it's not where the sale is made.
Analyzing Compare stage gap…
Generating fix…
Analyzing persona variance…
Analyzing weakest persona…
Analyzing persona variance…
We ran the same 100 buyer queries through Claude, ChatGPT, Perplexity, and Gemini. Each engine has different training data, different freshness signals, different retrieval biases. Your AXO score varies by — points across them. The spread reveals where to invest next.
Green cells are where that engine cites you strongly. Red cells are the blind spots. Engines that disagree with the pack are flagged — those cells are where the most recent content signals haven't propagated yet.
Analyzing competitive position…
Analyzing competitor AI advantage…
Competitors earn AI citations by publishing content that directly answers buyer evaluation questions. The opportunity is answerable content at the stages where buyers compare options.
Query categories being asked where no competitor owns the answer. These are the highest-return plays on your roadmap:
Loading opportunities…
Every recommendation below is earned by a specific query gap from Chapters 01–05. No "publish more content." No content-for-content's-sake. This is the list.
Each of the four above is earned by a query gap surfaced in the diagnostic. This is not a wishlist. Execute in order for maximum AEO lift this quarter.
Topical pillars emerged from the crawl. The strongest clusters are carrying your AEO score. The weaker ones need reinforcement — and they sit directly on high-intent query paths. Your 100-page AXO roadmap is allocated across clusters by inverse strength: weaker clusters get a larger share. Expand any cluster to see its allocation and the top recommended pages.
Analyzing content pillar health…
The weaker clusters are exactly where mid-funnel buyers search. That's the opportunity cost of under-investing in them.
Each of the five competitors above was crawled at full depth — between 540 and 8,400 pages — and scored on the same 100 queries. This is the unvarnished comparison.
Analyzing deep competitive data…
Benchmark data from TPG's AXO assessment dataset: visitors arriving from AI engines behave differently than organic search traffic. They arrive mid-conversation, having already asked Claude or ChatGPT about the problem and the shortlist. The figures below are TPG composite benchmarks, not measurements of this site's analytics.
We did not measure this site's conversion funnel in this diagnostic; that requires analytics access and is part of a full AXO engagement. What the diagnostic did measure is the content architecture AI-referred visitors land on, covered in Chapters 01 through 07. The unlock is targeted demand capture: AI-aware landing pages that acknowledge the conversation the visitor just had, not more top-of-funnel contentTPG composite benchmark.
Each recommendation below is scoped to a named gap, mapped to an owner archetype, and sized in weeks. If you execute the P0s, your AXO projects to 85 within two quarters.
Every finding above traces back to one of 100 buyer questions, distributed by journey stage and tested against four LLM engines. The distribution is inverse-weighted — weaker stages get more queries so we can diagnose them thoroughly. Stages where you're already winning get lighter sampling.
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