DIAGNOSE Modules

The DIAGNOSE group goes beyond the overall score to understand why AI represents your brand the way it does. Use these modules after your core GEO Audit to identify the root causes of low presence, inaccurate narratives, and citation gaps.

Buyer Journey

The Buyer Journey module maps how AI responds to the questions your actual buyers ask at each stage of their decision process — not generic brand queries, but the real prompts people type when they are researching your category.

Why this matters

Your brand may appear when someone types your name directly into an AI engine, but the more important question is: do you appear when they ask about the problem you solve? Buyer Journey reveals your AI presence at the moments of intent that actually drive decisions.

The six prompt families

The module tests six types of prompts that correspond to different moments in a buyer's journey:

• Awareness — "What are the best tools for [category]?" and similar broad discovery queries.
• Problem framing — Prompts that describe a pain point without naming a solution category.
• Category exploration — "What should I look for in [category] software?" and similar evaluation criteria queries.
• Comparison — "How does [Brand] compare to [Competitor]?" and similar head-to-head queries.
• Validation — Late-stage prompts where a buyer is confirming a decision already in progress.
• Use case specific — Prompts tied to a particular industry, team type, or workflow.

What you get

For each prompt family, you see the AI-generated response, whether your brand appeared, what was said, and how it compared to competitors mentioned in the same response. The output is organized by buyer stage so you can identify exactly where in the funnel your AI presence is weakest.

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Source Intel

AI engines do not invent their understanding of your brand — they synthesize it from the sources available to them. Source Intel reveals exactly which sources are shaping AI's perception of you, which are the most authoritative, and which source types are absent from your citation profile.

The PESO framework

Source Intel classifies your citation profile using the PESO media model:

• Paid — Sponsored placements, advertorial content, and paid media appearances.
• Earned — Press coverage, analyst citations, third-party reviews, and editorial mentions.
• Shared — Social media references, community posts, user-generated content, and forum discussions.
• Owned — Your own website, blog, documentation, and published materials.

Brands with AI visibility gaps typically have a thin or unbalanced PESO profile — often relying heavily on owned content while lacking earned authority. AI engines weight earned and authoritative shared sources most heavily when forming brand understanding.

What you get

A map of current citation sources with authority signals, a breakdown of which PESO categories are strong versus weak, and a prioritized list of source types to pursue. The module also flags sources that are currently absent but high-value for your category — analyst coverage, trade press, independent review platforms, and others.

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Content Gap

Content Gap identifies the topics, questions, and subject areas that AI engines cannot currently answer about your brand. These are your "answer ownership gaps" — the spaces where AI either gives a vague response, defaults to a competitor, or produces no meaningful answer at all.

What it finds

The module tests a broad set of questions that buyers in your category and industry are likely to ask AI engines. For each, it evaluates whether your brand is represented in the answer, and if not, who is filling that space.

• Topic gaps — Subject areas where your brand has no AI presence despite being relevant.
• Question gaps — Specific questions buyers ask where AI cannot provide a brand-attributed answer for you.
• Competitor gaps — Topics where a competitor is the default AI answer in a space you should own.

What you get

A ranked list of content gaps by priority, grouped by topic cluster. Each gap includes the question or topic where you are absent, what AI currently says (or fails to say), and a recommended content type to fill the gap. This output feeds directly into the AEO AID and GEO Assist action plans.