The best AI search analytics tools help you measure brand visibility inside AI-generated answers by tracking prompts, competitors, and citations/sources. This way, you can explain why an AI model recommends one brand over another and improve your visibility over time.

If you’re new to the topic, read these first:

• AI search visibility tracking

• High-intent AI search prompt set

• Amadora quickstart guide

TL;DR

• Don’t buy a tool before you define what you’ll track. Start with a baseline prompt set (10–15).

• Prioritize tools that show citations/sources (domains + URLs), not just “mentions.”

• Agencies should optimize for multi-client reporting + exports. In-house teams should optimize for actionability.

• Compare tools using the same demo script so you don’t get feature-toured.

What is an AI search analytics tool?

An AI search analytics tool (AI visibility tracker) measures how your brand appears in AI-generated answers—whether you’re mentioned, how you compare vs competitors, and which sources influence the answer. The output should be something you can act on: “What prompts are we losing?” and “Which sources are driving results?”

How we evaluated AI search analytics tools (2026)

To make the list comparable, we used the same 5-point scorecard across every tool. This keeps the recommendations consistent and focused on what SEO and marketing teams need for repeatable tracking and reporting.
Note: AI results vary by model updates, time, location, and prompt wording, so treat one-off runs as directional and track trends over time.
Last updated: Jan 5, 2026

What to look for (the 5-point scorecard)

Use this to shortlist tools fast:

1. Prompt tracking
   Can you run a stable prompt set repeatedly (and segment by topic/use-case)?

2. Competitor benchmarking
   Can you compare against specific competitors on the same prompts?

3. Citations/sources
   Can you see domains/URLs used as evidence so you know what to improve?

4. Coverage + segmentation
   Does it support the engines/regions/languages that matter for you?

5. Reporting + exports
   Can you export results and build stakeholder/client-ready reporting?

Quick picks: which tool fits your use case?

Best AI search analytics tool for agencies? → Amadora.ai (prompt-level tracking, competitor benchmarking, exports)

• Best option if you already use an SEO suite? → Semrush AI Visibility

• Best for enterprise-style visibility analysis workflows? → Profound

• Want prompt-level tracking + competitor benchmarking + reporting workflows for agencies → Amadora.ai

• Want AI visibility inside an SEO suite you already use → Semrush AI Visibility

• Want market/category visibility trends and competitive research → Similarweb

• Want brand/PR-oriented monitoring and already use Ahrefs → Ahrefs Brand Radar

• Want enterprise-style analysis workflows → Profound

• Want monitoring/brand journey framing → Scrunch

• Want a simple dashboard experience → Peec

• Want lightweight monitoring + alerts → Otterly

• Want prompt-first, lightweight setup → ZipTie

• Want local/entity-style visibility signals → Yext Scout

Comparison table: Top 10 AI Search Analytics Tools

Use this table to cut the list to 2–4 tools.

Note: Capabilities vary by plan and change over time. Use this table to shortlist tools, then validate in demos.

The Top 10 Tools

1) Amadora.ai (our product)

Best for: SEO teams and agencies that need repeatable prompt tracking, competitor benchmarking, and citation/source visibility in one workflow.

Tracks: brand mentions, competitor mentions, citations/sources (domains + URLs), share of voice, and prompt-level change over time.

Engines covered: ChatGPT, Google AI Overview, and Perplexity.

Reporting/exports: Built around a reporting loop: an Overview dashboard (visibility score, share of voice, average position), Prompts & Topics for prompt-level wins/gaps, Sources & Citations views (domain, URL, and “search query” views), plus Executions logs for response-level debugging.

Setup time: Fast (once you define your prompt set + competitors).

Watch out: Not ideal if you only need occasional spot checks and don’t want ongoing tracking.

2) Semrush AI visibility

Best for: Teams already using Semrush that want AI visibility inside a broader SEO suite.

Tracks: AI visibility signals within Semrush’s ecosystem (capabilities vary by module and plan).

Engines covered: Varies by Semrush feature/module.

Reporting/exports: Convenient if you want “one suite” workflows (export options depend on plan).

Setup time: Fast if Semrush is already in place.

Watch out: Suite modules can be less flexible if you need highly custom prompt libraries per client.

3) Similarweb

Best for: Competitive market insights and category-level visibility trends.

Tracks: competitive research signals and high-level visibility trends (tooling is strongest at market/category views).

Engines covered: Varies by product/module.

Reporting/exports: Strong for dashboards and trend monitoring (export options depend on plan).

Setup time: Moderate (depends on what modules you use and how you segment categories/competitors).

Watch out: Validate prompt-level granularity if your workflow requires prompt-by-prompt reporting.

4) Ahrefs Brand Radar

Best for: PR and brand monitoring teams that already use Ahrefs.

Tracks: brand presence signals that support brand/earned-media monitoring workflows (capabilities vary by feature/module).

Engines covered: Varies by Ahrefs feature/module.

Reporting/exports: Convenient if your reporting already lives inside Ahrefs (export options depend on plan).

Setup time: Fast if Ahrefs is already in place.

Watch out: Confirm fit if you need agency-style operations with custom prompt sets per client.

5) Profound

Best for: Enterprise teams that want deeper visibility analysis workflows.

Tracks: visibility analysis at scale (often used for more “research-grade” setups and cross-team reporting).

Engines covered: Depends on configuration and plan.

Reporting/exports: Designed for enterprise analysis and reporting workflows (export options depend on plan).

Setup time: Moderate to heavy (usually requires process and ownership to operationalize).

Watch out: Enterprise tools can take longer to roll out and maintain vs lightweight trackers.

6) Scrunch

Best for: Monitoring-style teams that want brand journey framing and continuous visibility monitoring.

Tracks: ongoing visibility monitoring and interpretation-oriented insights (varies by plan/product).

Engines covered: Varies by plan/product.

Reporting/exports: Monitoring-focused reporting (confirm export formats based on your needs).

Setup time: Moderate.

Watch out: Confirm it supports your exact reporting format (agency vs in-house workflows).

7) Peec

Best for: Teams that want a simple AI visibility dashboard.

Tracks: visibility monitoring with fast readouts (depth varies by plan/product).

Engines covered: Varies by plan/product.

Reporting/exports: Dashboard-style reporting (export options depend on plan).

Setup time: Fast.

Watch out: Validate depth if you need segmentation, custom workflows, or prompt-library complexity.

8) Otterly

Best for: Lightweight monitoring and alerts.

Tracks: changes over time with a “watchtower” approach (alerts/monitoring-first).

Engines covered: Varies by plan/product.

Reporting/exports: Alerting + lightweight reporting (confirm exports if you need stakeholder-ready reporting).

Setup time: Fast.

Watch out: Make sure you can move from “monitoring” to clear actions and prioritization in your workflow.

9) ZipTie

Best for: Lightweight, prompt-first tracking.

Tracks: prompt-first visibility signals for quick directional insight (varies by plan/product).

Engines covered: Varies by plan/product.

Reporting/exports: Lightweight reporting (confirm multi-client and export needs if required).

Setup time: Fast.

Watch out: Validate multi-client reporting if you’re an agency running separate prompt libraries per client.

10) Yext Scout

Best for: Local/entity visibility contexts and broader visibility intelligence.

Tracks: entity presence and visibility signals (stronger fit when entity data/knowledge graph presence matters).

Engines covered: Varies by plan/product.

Reporting/exports: Intelligence-style reporting (export options depend on plan).

Setup time: Moderate.

Watch out: If your main use case is SaaS category prompts, validate how well it maps to prompt-set workflows and reporting needs.

Demo script (copy/paste)

Use this to evaluate tools in 30–45 minutes.

Inputs

• One category

• Your brand + 2–3 competitors

• A baseline prompt set (10–15 prompts)

Need prompts? Start here:
High-intent AI search prompt set

Ask them to show

1. Results for your prompt set (not a sample dataset)

2. Competitor comparison on the same prompts

3. Citations/sources (domains + URLs)

4. Export/reporting (CSV + time range)

5. Segmentation (region/language/platform if relevant)

Pass/fail

• Can I answer “Which prompts do we lose vs competitors?”

• Can I see “Which sources influence answers?”

• Can I export “a report I can send today?”

Common mistakes

• Tracking too many prompts too early (no baseline, no learning)

• Buying a tool without competitor benchmarking (no context)

• Ignoring citations/sources (no action)

• Changing the prompt set constantly (no trend validity)

FAQ

Do I need this if I have a rank tracker?
Rank trackers measure rankings in link-based search. AI visibility tools measure presence inside generated answers (mentions, competitors, citations).

What should we track first?
A stable baseline (10–15 high-intent prompts), then expand with constraints (budget, region, integrations).

How often should we track?
Weekly is a solid default; increase frequency for launches or fast-moving categories.

How do we keep reporting stable with prompt variance?
Keep a Core set consistent and compare trends over time. Expand one variable at a time.

What matters more: mentions or citations?
Mentions tell you if you’re present. Citations tell you why you’re present—and what to improve.

What to do next

• Build a baseline prompt set

• Learn the fundamentals

• Set up tracking