Best Copilot Visibility Tools
Choosing a tracker for Microsoft Copilot starts with the answers your customers encounter. Compare the collection method, retained evidence and recurring workload before considering a headline visibility score.
What matters for this shortlist
- Collection method
- Specify consumer search answers; exclude GitHub Copilot and employee usage monitoring.
- Measurement units
- Check the answer source links and the geographic context of the question.
- Repeatability
- Export the question, collection time, country, language and raw response so changes can be investigated.
Products to evaluate
These products are selected for the workflow described here. Their order reflects the focus of this page, not a universal performance ranking. Verify every required feature and plan in a trial.
Otterly AI

Otterly AI publishes prompt allowances and engine inclusions on its pricing page. Its documented workflow includes daily brand tracking, citation analysis and reporting, with extra engine add-ons and additional capabilities on higher plans.
Evaluate Otterly for a bounded monitoring pilot. Write down the number of questions and required engines first, then confirm the plan covers that exact workload.
Check before buying: Count engine add-ons and prompt allowances before comparing prices. In the reviewed pricing, Google AI Mode, Gemini and Claude appear as add-ons rather than part of the four-engine base list.
Compare with Searcherries Explore alternatives Official site ↗
Ahrefs Brand Radar
Ahrefs Brand Radar distinguishes a pre-collected AI visibility index from custom prompts tracked over time. The distinction matters: discovering existing mentions across a large dataset and monitoring a chosen set of buyer questions answer different questions.
Evaluate Brand Radar if your team needs to investigate unfamiliar competitors or topics as well as maintain a monitoring program. Test whether the discovery dataset covers a small brand in your category.
Check before buying: Search-derived prompt data is a proxy for demand, not a census of private AI conversations. Compare the index and custom-tracking limits separately, including which subscriptions you need.
Compare with Searcherries Explore alternatives Official site ↗
Scrunch AI

Scrunch describes monitoring for prompts, topics and entities, with citation analysis and AI crawler traffic. It also offers a shopping workflow that distinguishes product visibility from the retailers receiving links.
Evaluate Scrunch when product discovery and technical access are part of the same program. Use a product sold by several retailers to see whether the reports distinguish brand, item and destination.
Check before buying: Keep crawler visits, answer citations and shopper referrals separate. If evaluating the Agent Experience Platform, include your web team and assess the actual delivery changes in a controlled trial.
Compare with Searcherries Explore alternatives Official site ↗
A practical trial scenario
Illustrative evaluation task
Ask Microsoft Copilot: “Which project management tools suit a 15-person design agency?” Repeat the same wording in a fresh session and preserve both responses.
Save the exact input and the complete result. Have the person who will use the report inspect the evidence, reproduce one metric and identify a next action. Record missing fields, manual work and unresolved questions as part of the audit.
Tradeoffs and questions to resolve
This is a shortlist to evaluate for Microsoft Copilot, not a promise of coverage in every plan. Confirm that the exact surface is available before paying.
Price the workload you will actually run: brands, unique questions, engines, markets, repeat frequency and reporting access. Ask whether a prompt allowance covers all selected engines or whether each collected response consumes a separate unit. Compare quotes using the same assumptions.
Sources and review context
Public product information reviewed September 6, 2026. Product descriptions are vendor claims; evaluation recommendations are editorial judgments.
Continue your research
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