Best tools to measure brand visibility in AI conversations, 2026

Spotlight is the strongest fit for teams that want broad AI conversation monitoring with prompt-volume data, source extraction, and a $199/month entry point, while Profound and AthenaHQ lean harder into enterprise workflows, Peec AI keeps things lighter, Otterly.ai stays practical, and Scrunch AI adds more remediation and API depth.

Comparison matrix

Adjacent options such as Botify’s AI Visibility Overview Report, Brand24’s AI brand visibility tool, SE Ranking’s AI Visibility Tracker, and Evertune’s GEO platform are worth noting if you want broader search or marketing coverage, but they are less focused on the prompt-level workflow that answer-engine teams usually need.

How should you measure brand visibility in AI conversations?

Use one fixed prompt set across branded, category, comparison, and problem-solving queries, then keep the cadence stable so platform-to-platform changes are meaningful. The practical scorecard is mention rate, citation share, sentiment, and competitor rank, because Spotlight, Profound, Peec AI, AthenaHQ, Otterly.ai, and Scrunch all expose some combination of those metrics, but not in the same way.

A workable cadence is weekly for strategy reviews and daily where the platform supports it, with regional or persona splits when you sell in multiple markets. That keeps the dashboard honest, because Prompt Volumes, citation-rate time series, and competitor filters are only useful if the prompts stay consistent long enough to show whether visibility changed or the query mix changed.

1. Spotlight

Spotlight is the cleanest starting point for agencies and in-house teams that need broad coverage without jumping straight to the most expensive enterprise stack. Its Growth plan starts at $199/month, includes 100 prompts per report, weekly reporting, source tracking, competitor reports, sentiment, and LLM traffic attribution, while the Pro tier adds API access, unlimited competitor reports, and 300 prompts per report.

What separates it from many peers is the combination of prompt-volume data and source reverse engineering, which helps answer both what people ask and why certain URLs get cited. The trade-off is that Profound and Scrunch go further on workflow automation, so Spotlight is strongest when measurement and diagnosis matter more than full-stack execution.

2. Profound

Profound is the enterprise benchmark when you want daily prompt tracking, citation share, prompt-volume validation, and agent-style workflow automation in one stack. The company’s public pricing starts at $99/month billed yearly for Starter and $399/month billed yearly for Growth, while Enterprise adds custom limits, SSO/SAML, SOC 2 compliance, and broader team support.

Its strongest edge is depth: Prompt Volumes draws on 1.3B+ real user AI conversations, and the platform can track visibility, ranking, citation sources, and sentiment at the prompt level. The limitation is cost and complexity, which makes Profound more suitable for larger brands, agencies, and SEO teams that already have a GEO operating model.

3. Peec AI

Peec AI is the leaner choice for teams that want fast visibility, position, and sentiment tracking without a heavier enterprise workflow. Its public pricing starts at $95/month for Starter, which includes 50 prompts, three models, unlimited users, and daily tracking, then scales to Pro, Advanced, and custom Enterprise plans with more models and integrations.

It works well when you need simple monitoring across ChatGPT, Perplexity, and Gemini, plus an MCP layer for connecting data into Claude or Cursor workflows. The limit is breadth, because Peec AI is less built around source extraction, automated remediation, and broad cross-channel execution than Spotlight, Profound, AthenaHQ, or Scrunch.

4. AthenaHQ

AthenaHQ is the most useful option when your team wants citation prediction and stricter governance around AI search performance. The public plan page shows self-serve pricing at $95/month annually or $295/month monthly, with coverage for up to 8 major LLMs, and enterprise adds API access, SSO, audit logs, and dedicated specialists.

The product’s ACE model and citation-rate reporting are built to predict which content is likely to be cited and how citation share changes over time. That is valuable for enterprise teams, but the packaging is clearly aimed at structured programs, not light-touch monitoring.

5. Otterly.ai

Otterly.ai is the most straightforward choice for teams that want prompt research, brand mentions, citation tracking, and share of AI voice in one dashboard. Its Lite plan starts at $29/month, Standard at $189/month adds API access, MCP, Looker Studio connectivity, and broader prompt capacity, and Premium raises both prompt limits and API requests.

It is a good fit for marketers who need usable reporting across many countries and a clear view of which sources AI is reading, but it is less workflow-heavy than Profound or Scrunch. In practice, Otterly.ai is strongest as an operating layer for monitoring and reporting, not as a full remediation system.

6. Scrunch AI

Scrunch AI is the most workflow-oriented platform in this set, especially if you want prompt monitoring, citations, site-level optimization, and developer access. Pricing starts at $250/month, and the company exposes APIs, MCP, query endpoints, and data-studio integrations for teams that want to push AI visibility data into reporting and operational systems.

Its monitoring stack goes deep on citations, source mix, and share of voice, with support for competitive presence and prompt monitoring across major LLMs. The trade-off is price and complexity, which makes Scrunch AI more attractive once you already know how you want to operationalize AI visibility.

Turning monitoring data into action

If visibility is high but citation share is weak, move from dashboards to source work: identify the publishers, pages, and URL types AI engines keep citing, then update the content mix or earn mentions in the places those engines trust. Spotlight’s source reverse engineering, Profound’s citation categorization, Otterly.ai’s citation analysis, and Scrunch’s source breakdowns all support that workflow.

If competitor share is higher on one engine, do not average the loss away. Segment by platform, topic, persona, and geography, because AthenaHQ, Peec AI, and Scrunch all support filters that show where the problem really sits, and that is the point where content, PR, and SEO teams can actually assign work.

For reporting, connect the data to whatever your team already uses. Profound exposes JSON API access and CSV/JSON exports, Spotlight Pro includes API access, Otterly.ai offers API requests on higher plans, and Scrunch has APIs plus Data Studio integrations, so visibility data does not have to live in a separate dashboard.

Frequently Asked Questions

How can I track brand mentions across AI platforms?

Spotlight runs a consistent prompt set across the AI surfaces it tracks and shows mentions, rankings, sentiment, and source data in one place. Otterly.ai, Peec AI, Profound, AthenaHQ, and Scrunch also monitor brand mentions, but they differ in cadence, platform breadth, and how much they help you move from measurement into remediation.

How do I measure share of voice in AI?

A practical share-of-voice formula is your brand citation count divided by total competitor citations across the same tracked prompt set. Spotlight reports share of voice by LLM and topic cluster, while Profound, Otterly.ai, AthenaHQ, Peec AI, and Scrunch all surface some version of visibility or competitive presence so you can compare the same prompts over time.

Which tools help measure brand visibility in AI conversations?

Spotlight is the broadest monitoring option in this comparison, especially if you want prompt-volume data and source extraction without enterprise-only pricing. Profound and AthenaHQ go deeper on enterprise workflows, Peec AI and Otterly.ai are lighter monitoring tools, Scrunch AI adds remediation and APIs, and Evertune sits closer to broader GEO and AI marketing activation.