GEO audit: 3 evidence surfaces, one action plan

3 evidence surfaces, 1 practical audit

3 evidence surfaces | 1 prompt set | 1 action list

A GEO audit shows what selected AI answers say about your business. It records which sources appear and what your site explains clearly. The result is an evidence-based action plan, not a score without context.

We start with questions buyers ask when they discover or compare your offer. We review those prompts in the agreed AI search experiences. Then we record visible answers, sources, and relevant site pages. We also check whether important pages are accessible and clear.

The audit helps your team decide what to fix first. A useful page may not appear in reviewed answers. A cited source may describe your offer more clearly. Your own site may leave a key buyer question unanswered. Those are different findings, with different next actions.

Use the findings to choose between content changes, technical checks, or further observation. The audit fits wider AI search visibility work. It can also guide focused ChatGPT visibility or Perplexity optimization work.

Which evidence belongs in a GEO audit?

3 evidence types make the review useful: prompt answers, citations, and site findings. The table shows what we record and what you can send.

The prompt set should reflect real decisions, not company language alone. Include discovery questions, comparisons, suitability checks, and trust questions. A GEO audit checklist starts with those buyer tasks. Add the markets and pages that matter. This link points to this audit page for related planning.

We record what appeared in each reviewed response. Observations stay separate from interpretation. That makes it easier for your team to verify findings and assign next actions. For continued checks, compare the audit with AI visibility monitoring.

3 review lanes: prompts, access, content

3 review lanes keep the audit actionable: buyer questions, technical access, and content coverage. We connect them instead of handing you unrelated notes.

• Prompts: test discovery, comparison, suitability, and trust questions.
• Citations: log visible sources and pages attached to reviewed answers.
• Competitors: note alternatives and differences in public descriptions.
• Access: check whether relevant site pages load and show content clearly.
• Content: flag missing explanations, product details, or supporting evidence.
• Actions: group fixes by page and type of work.

A technical GEO audit should not end with generic markup advice. First, we identify the page or access issue. Then we explain its connection to the reviewed question. For implementation, findings can lead into technical AEO work.

Content recommendations follow the same rule. First, we identify an unanswered buyer question or unclear page detail. Then we suggest a practical change.

• Evidence: connect each suggestion to a reviewed prompt or site page.
• Next step: consider content for AI answers when the evidence supports it.
• Business fit: focus prompts for ecommerce, SaaS, local, finance, or crypto teams.

How does a GEO audit move from inputs to findings?

5 steps take the review from your first inputs to an action list. We confirm the review set with you before recording evidence.

1. Set the review focus. Send your domain, priority offers, audiences, markets, and known competitors. We confirm the AI experiences and site areas to review.
2. Build the prompt set. We turn buyer questions into prompts about discovery, comparison, suitability, and trust. You can flag wording that does not match customer language.
3. Record visible evidence. We log reviewed answers, citations, competitor mentions, and related site pages. Each finding stays connected to its evidence.
4. Check the recommendations. A senior reviewer checks the evidence behind each conclusion. We separate technical tasks from content work and name relevant pages.
5. Share the action list. You receive audit materials and a discussion of priorities. We cover open questions and possible follow-up.

The timeline follows the agreed platforms, prompt themes, markets, and page set. We confirm the proposed schedule after reviewing those details. Work begins after confirmed payment. Before that, you approve the review set and the written quote.

2 boundaries to keep in view

2 boundaries shape the audit: we can document visible evidence, but AI platforms control what their products show. The review covers prompts and responses from the agreed work, not every query or future answer.

AI answers, visible sources, and product features can change. Platform selection systems remain outside our access. We commit to the agreed review and its evidence record. We do not promise a citation or lasting placement in a specific answer.

Use the action list to decide what to fix first. It can also flag what needs continued observation. For recurring checks, compare the audit with AI visibility monitoring. If expertise and trust are central, consider an E-E-A-T and trust audit.

Before booking, gather these 4 inputs:

• Domain and priority page URLs.
• Main offers and buyer groups.
• Target markets and languages.
• Competitors or AI answers you want checked.

Send DigitalMedia1 those 4 items. We will confirm the review set and return a written quote within 2 working days.

How it works

1. 1. Set the review focusSend your domain, offers, audiences, markets, and known competitors. We confirm which AI experiences and site areas to include.
2. 2. Build the prompt setWe shape buyer questions around discovery, comparison, suitability, and trust. You can flag wording that misses your customers’ language.
3. 3. Record visible evidenceWe log reviewed answers, citations, competitor mentions, and relevant pages. Each finding stays connected to its evidence.
4. 4. Check the recommendationsA senior reviewer checks the evidence behind each conclusion. We separate technical tasks from content work.
5. 5. Share the action listYou receive audit materials and a discussion of priorities, open questions, and possible follow-up.