What does GEO mean in this tool?

GEO refers to generative engine optimization. This checker supports research into AI answers by showing sampled responses, brand mentions and source links for a specific buyer question.

Does it produce a GEO score?

No. It reports observable counts and answer evidence within the requested snapshot. It does not turn those results into a universal score, market share or ranking.

Is this the same as a full AI visibility report?

No. This standalone checker samples Claude, ChatGPT and Gemini for one question. Full reports are a separate workflow with their own scope. Read this output as evidence from the selected engines only.

Should I include my brand in the question?

Use a neutral, unbranded question when you want to observe whether the name arises unaided. A branded question is valid for a different investigation, but its mentions have a different meaning.

What if my brand is missing from every completed answer?

It was not matched in those answers for that question and snapshot. That does not establish absence across all questions, models or future responses, and it does not explain the cause.

Will the same question always produce the same output?

No. Answers and sources vary. Keep the question, engines, market and timestamp with your observations.

What can I improve after reviewing the output?

Look for a specific, verifiable content question: whether your page explains a relevant use case, whether a source has useful context, or whether another buying constraint deserves investigation. The snapshot cannot guarantee an optimization outcome.

AI visibility

GEO visibility checker

Compare how Claude, ChatGPT and Gemini answer the same buyer question. Read each completed answer, find your brand and choose the next question to investigate.

Your input

No account required. Fair-use limits apply. Your query is sent to search or AI providers.

Put this finding in the wider picture.

Explore your brand, competitors and cited sources across five AI engines in a free report.

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A sample setup. Add your input or load the example to try it.

Question your buyers ask

What are useful project management tools for a small team?

Brand name

Notion

Selected engines

ChatGPT
Gemini
Claude

Search market: United States
Language: English

How this tool worksSamples the selected engines once each for your question. Completed answers, citations and failures are reported separately. This recent snapshot does not establish visibility over time and may differ from results seen in personal chats because timing, model and context can change.

Read the buyer’s answer

How do the answers describe the buying decision?

Ask a buyer question and choose Claude, ChatGPT, Gemini or all three. Each selected engine is sampled once per run. Compare the complete answers, matched brand mentions and cited websites.

For a volunteer team, shared ownership and deadlines may shape the choice more than a broad software category. Read how each answer handles those needs, then choose a difference to investigate in your content. This supports generative engine optimization research with a specific question and snapshot.

A practical workflow

How to use the GEO visibility checker

Enter a brand and a buyer question
Use the exact brand name and a question that reflects a real decision. Add the brand website for cited-domain matching.
Select the engines and context
Choose Claude, ChatGPT, Gemini or all three, then country and language. Run the snapshot with the same question across selected engines.
Read, compare and save the evidence
Inspect the complete answers and sources. Keep failed engines distinct, and record the question and timestamp with any conclusions.

Example

Compare the answers to one buying decision

A fictional Harbor review asks how planning tools could help a volunteer team share ownership and deadlines.

Which planning tools help volunteers share ownership and deadlines?

Use the audience and constraint that shape the decision. Keep the question neutral when checking whether the brand arises unaided.

Read the comparison

Look at how each answer frames the need

Compare the constraints each answer emphasizes, the options it discusses and the sources it cites. A mention tells you that the name appeared; its surrounding sentence tells you how it was used.

Choose one difference to investigate. Review whether your page explains the relevant use case, open an interesting source or prepare a new question about a different buying constraint.

A question-led visibility review

Compare the answers. Choose the next question.

Choose a buying constraint, compare completed answers and turn an observation into a focused content review.

Make the question specific enough to be useful

Include the need or constraint that shapes a buyer’s decision. Keep the question neutral if you want to observe whether the brand arises without being named in the prompt.

Question progressionExample

Broad topicteam planning software
Audiencea small volunteer team
Decision questionWhich planning tools help volunteers share ownership and deadlines?
Fictional brand measuredHarbor

The tool does not automatically add the measured brand to the question.

Look beyond a name count

Read how each completed answer frames the need, names options and uses sources. Mentions are useful evidence, but their meaning comes from the surrounding text.

Questions for comparing the answersExample

Problem framingWhich needs and constraints are emphasized?
Brand contextIs the name suggested, compared or merely mentioned?
SourcesWhich links are attached to the answer?
AvailabilityWhich requested engines produced a completed answer?

Compare how each answer frames the buyer’s needs and supports its suggestions.

Turn an observation into work you can explain

Choose a specific question to investigate in your content or source coverage. A single snapshot can suggest a useful review, but it cannot prove why an engine selected one brand over another.

Next research stepsExample

Unclear product fitReview whether the page explains the relevant use case
Interesting cited sourceOpen the source and assess its information
Different buying constraintPrepare a separate, focused question to investigate

Choose one concrete question you can investigate in your content or source coverage.

Method and scope

What the snapshot can establish

Name matching uses word boundaries and website matching covers the supplied host and subdomains. Aliases and recommendation strength are not inferred. Completed answers and failures stay separate, so unavailable engines never count as absent brands.

Claude uses its API with web search; ChatGPT and Gemini use provider-mediated consumer snapshots. Grounding evidence differs, and source links alone do not verify fresh Gemini searches. This standalone tool does not calculate visibility share or maintain a history; full reports are a separate workflow.