AI search visibility: measure the answers buyers see

1 prompt set, 5 checks at a glance

1 buyer question is the first input we ask you for. From there, build a consistent record of prompts, answers, mentions, and sources. Keep the same question wording when you repeat a test.

The table separates what you control from what you observe. Keep the prompt set, platform, and date beside every result. That simple record makes later comparisons easier to interpret.

A useful baseline shows more than whether your name appeared. It also captures the answer’s context and whether a visible source supports the claim. For a wider view of AI search visibility and GEO, start with the buyer questions your pages should answer.

How do you build a 5-part prompt set?

5 prompt groups give your first measurement a useful shape. Build them from buyer decisions, then preserve their exact wording for repeat tests.

1. Category questions: Ask how a buyer would explore available options.
2. Problem questions: Describe an issue your product or service addresses.
3. Comparison questions: Ask what separates relevant options or approaches.
4. Use-case questions: Focus on a task, audience, or situation you serve.
5. Branded questions: Check whether AI answers describe your brand accurately.

For each prompt, note its intended audience and purpose. Keep branded questions separate from unbranded discovery questions. A prompt that names your company cannot show whether you appear without prompting.

Remove duplicates that test the same buyer need. Keep the final wording unchanged for the next review. If a prompt must change, record the edit; treat its new answer as a separate observation.

This is how to monitor AI visibility without confusing prompt changes with answer changes. Put the wording and intent in one shared sheet. Add a column for the platform and test date before collecting results. For related measurement options, see AI visibility monitoring.

4 fields keep each AI answer checkable

4 fields turn an answer into evidence your team can review. Record each observation before summarizing it or comparing it with another platform.

• Prompt: Exact wording and the buyer need it represents.
• Platform: Where you ran the test and when you ran it.
• Answer: Relevant text, brand mentions, and named alternatives.
• Sources: Visible citation URLs and the claims they support.
• Accuracy: Whether the brand description matches your current offer.
• Action: The page or measurement task to review next.

Keep these fields distinct. A brand mention is not the same observation as a citation. A citation does not prove its page supports every statement in the answer. Note what the answer says and inspect the linked page before drawing conclusions.

Save the raw answer text or a screenshot when practical. Include enough context to show why the prompt matters. Avoid recording only a score: without the underlying answer and URLs, another reviewer cannot verify your interpretation.

Use the action field to connect evidence to work. For example, a page may need clearer product facts, or an outdated description may need correction. Put the owner and retest note beside that action. The AI search visibility hub offers related guidance for this review.

How should you compare ChatGPT and Perplexity?

1 buyer need can anchor a ChatGPT versus Perplexity comparison. Record each platform’s answer and visible sources separately, then judge how well each responds to that need.

Keep the prompt intent consistent. Save the exact wording used for both tests, along with platform and date. Then check whether each answer names your brand, describes it accurately, and shows sources relevant to the answer.

The comparison is useful when it preserves differences rather than hiding them. An answer with a concise description and an answer with visible citations are not identical records. Note what each provides, then decide whether the same content gap appears across both tests.

Do not infer how either platform selects sources from one result. Review only what the test exposes: answer text, brand references, and displayed URLs. Repeat the documented test before treating a change as a pattern.

Share of voice needs a clear counting rule

1 defined prompt set gives share of voice a denominator. State which prompts and platforms you counted, and explain what qualifies as a brand appearance.

Share of voice compares appearances among the brands in your recorded answers. It can help identify which buyer questions feature your brand and which name alternatives appear instead. It does not explain answer quality by itself.

Track these measures separately:

• Prompt coverage: Which prompts include your brand?
• Citation coverage: Which answers show a relevant page from your site?
• Answer accuracy: Which descriptions match your current offer?
• Source support: Do visible pages back the stated claims?
• Competitive context: Which alternatives appear for the same prompt?

Keep raw observations beside any summary. If a brand mention appears in passing, state whether your counting rule includes it. Apply that rule consistently across platforms and reviews. Avoid combining coverage, citations, and accuracy into one unexplained score.

For content changes, connect each finding to a specific page and a follow-up test. Record technical edits, such as changes involving schema.org or LLMs.txt, separately from changes to page content. Retest the same prompts to see what the next recorded answers show.

5 inputs to send before your first review

5 inputs make a first measurement review more focused. Send the prompts or buyer questions you already use, plus the pages and claims you want checked.

• Audience: Who asks the questions, and what are they deciding?
• Offer: Which products, services, or use cases matter most?
• Prompt list: Exact wording, if you already have it.
• Priority pages: URLs that explain the offer and support its claims.
• Known issues: Outdated facts, unclear descriptions, or recent edits.

A spreadsheet is enough to begin if it preserves prompt wording, platform, date, answer context, and source URLs. A tracking tool may help when you need shared records, exports, or repeatable tests. Before choosing one, check that you can inspect the evidence behind its summaries.

We review the prompt set, check whether the fields support a fair comparison, and flag gaps in the record. You get practical next actions tied to the answers and pages reviewed. Send DigitalMedia1 your buyer questions, priority URLs, and any saved AI answers through Contact.

How it works

1. 1. Pick buyer questionsGroup real questions by audience and intent. Keep branded prompts separate from discovery prompts.
2. 2. Set the counting rulesDecide what qualifies as a mention, citation, and accurate answer. Record the definitions beside the prompt set.
3. 3. Capture each testSave exact wording, platform, date, answer context, and visible source URLs for every observation.
4. 4. Review answer evidenceCheck whether the brand description is current and whether cited pages support the answer.
5. 5. Assign a follow-upConnect each finding to a page or measurement task. Reuse the documented prompts for the next review.