# Claude visibility tracker

- Canonical: https://www.geoly.ai/claude-visibility-tracker
- AI visibility tracker: Claude

Research how Claude mentions your brand and uses sources. Compare Sonnet, Haiku, Opus and Fable in a defined setup, with custom scope agreed before collection.

[Discuss Claude coverage](https://www.geoly.ai/contact)

Claude is not included in standard monitoring or the standard trial. Collection feasibility, method, cadence and deliverables require agreement.

## Define the measurement scope

- **Claude app**: Record the selected mode and whether search or private knowledge was used.
- **Sonnet / Haiku / Opus / Fable**: API model families need exact identifiers, supported tools and separate baselines.
- **Public vs supplied sources**: Distinguish web citations from documents provided in the conversation.

## Why measure Claude on its own

Claude research should distinguish a public web answer from an answer grounded in uploaded documents or a connected workspace. A citation to a document you supplied is not evidence of organic discovery.

Model families can be compared only with the surrounding setup recorded. Web search, available tools, conversation history and task instructions all form part of the test.

## Read the signal. Choose the right action.

Mentions, citations and visits answer different questions. Keep them separate before deciding what to optimize.

- **Brand mentions**: Whether the brand is named in the sampled answers. Find missing buying intents; inspect how the brand is described.
- **Citation Rate**: The share of tracked answers citing your own domain. Inspect the cited URLs and the facts your pages need to support.
- **Share of Model**: Your share of brand mentions within the same answer set. Compare the competitors actually named, using a stable prompt set.
- **Sentiment & answer position**: The wording around a brand and its order in the answer. Read the original context before interpreting a positive or negative label.
- **Referral visits**: Attributed website sessions in your analytics. Evaluate landing pages and key events separately from AI visibility.

[Metric guide: definitions, formulas and how to read them](https://www.geoly.ai/ai-visibility-metrics)

### Keep the sample honest

Hold prompts, engine, market and language steady when comparing periods. Report the observation count; separate failed runs from valid answers. One response is an example, not a market-wide ranking. Source links, fan-out and shopping cards depend on what an engine exposes.

For a custom engagement, use these as acceptance criteria. Availability is confirmed during scoping, not promised by this page.

## Start with better questions.

Choose a business type and build a small prompt set you can copy into your research workflow. These are editable examples—not live engine results or measured search demand.

- Which wireless headphones brands should a first-time buyer consider?
- Which wireless headphones options are worth comparing at different budgets?
- How does [your brand] compare with other wireless headphones options?
- What should I verify before choosing [your brand]?
- Which reliable sources support the claims about [your brand]?
- When should I choose an alternative to [your brand]?

Replace placeholders and select your target country and language in your tracking workflow. The starter runs in your browser; it does not query an AI engine.

## From an answer to your next content decision.

### Exclude supplied knowledge

Inspect: Check whether a cited fact came from a public page, an upload or a connector.

Act: Use a clean public-web research setup for organic discovery. Evaluate private knowledge tasks in a different report.

Keep the evidence: Source origin · conversation context

### Compare model families

Inspect: Inspect the selected Sonnet, Haiku, Opus or Fable model and its search configuration.

Act: Keep prompts and available tools constant. Preserve exact model identifiers so a version change is not mistaken for a content improvement.

Keep the evidence: Model ID · tools · observation date

### Check claims in context

Inspect: Read why Claude recommends or excludes the brand and which sources support that explanation.

Act: Clarify product fit, limits and comparisons on your own pages. Recheck the same buyer constraints after the update.

Keep the evidence: Recommendation · supporting passage

## Your first measurement cycle

For Claude, agree the collection and delivery scope before this cycle starts.

1. **Set the baseline**: Choose one market and a focused set of discovery, comparison and validation questions. Save the prompt list before measuring.
2. **Read the evidence**: Inspect missing mentions, citation gaps and inaccurate claims. Prioritize by relevance to a real customer decision.
3. **Change one useful thing**: Improve a specific page or source. Record what changed and when, then compare equivalent observation windows.

## Choose the coverage you actually need.

Bring your target market, prompt sample, preferred interface and reporting requirements. We will establish whether custom Claude coverage fits your project before you commit.

[How to optimize for Claude](https://www.geoly.ai/llm/claude-aeo)

## FAQ

### Does GEOly include Claude in standard monitoring?

Claude is not included in GEOly standard monitoring or its standard trial. Discuss an Enterprise custom research brief; collection feasibility, access, cadence and deliverables must be confirmed before work begins.

### What should a Claude research brief include?

Specify the exact product or API, model where known, market, language, search settings and prompt sample. Agree what counts as a mention, a citation and a valid observation. A page about a platform does not mean collection is already available.

### Does a document citation count as organic visibility?

Not when the document was supplied by the tester. Report supplied-document citations separately from sources discovered through public web search. Neither is a measured website visit.

### Does tracking guarantee AI recommendations?

No. Monitoring helps you identify gaps and inspect changes. It does not control an engine’s answers or guarantee citations, rankings or traffic growth.

### Does the prompt starter query an AI engine live?

No. It builds research questions in your browser from your inputs. It does not run collection or show measured demand. Actual monitoring is configured separately.

### How should I compare results over time?

Use the same prompt set, engine, market and language across equivalent windows. Inspect valid observation counts and raw answers, and annotate any collection or product-configuration changes.

### Is AI visibility the same as website traffic?

No. A brand can be mentioned or cited without receiving a click. Use answer records to assess visibility and GA4 or your own analytics to assess visits and conversions.

## Official platform references

- [Claude: web search in the app](https://support.claude.com/en/articles/10684626-enable-and-use-web-search)
- [Claude: API web search](https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool)
- [Anthropic: Claude Fable](https://www.anthropic.com/claude/fable)

References reviewed: 2026-11-13

[Explore all platforms and coverage](https://www.geoly.ai/ai-llm-visibility-tracker)

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