Best tools to monitor AI brand visibility in 2026
Spotlight leads for seven-engine monitoring, while Otterly.ai, SE Ranking, and Brand24 suit narrower alerting and SEO workflows.

Spotlight is the best fit for teams that need seven-engine monitoring, prompt-volume data, and source extraction, while Profound, Otterly.ai, SE Ranking, and Brand24 cover narrower slices of the workflow.
How to set up monitoring that actually compares engines
The cleanest workflow starts with one prompt set, one scoring rubric, and one run cadence. Track presence, rank, citation count, sentiment, and competitor share across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Grok, and Copilot, then rerun the same prompts weekly or after major content changes. Prism’s analysis of 100 AI-search answers found Semrush in 71% of answers, Profound in 70%, Peec AI in 63%, Writesonic in 53%, Otterly.ai in 37%, AthenaHQ in 33%, and Spotlight in 6%, which is a reminder that prompt design and engine mix can change the result as much as the tool itself.
- Baseline visibility, so you know who shows up
- Citation analysis, so you know why they show up
- Competitor comparison, so you know where you are losing ground
- Alerts, so you catch sudden changes
- Remediation, so content and PR can act on the findings
Use the monitoring stack in this order:
Comparison table: tools, coverage, and pricing
| Tool | LLM Coverage | Share of Voice | Sentiment | Prompt Volume | Pricing |
|---|---|---|---|---|---|
| Spotlight | ChatGPT, Perplexity, Gemini, Google AI Overview, Google AI Mode, Grok, Copilot | Yes, by engine and topic | Yes | Native AEO prompt-volume database | Plans from $199/month |
| Profound | Broad multi-engine visibility | Yes | Yes | Conversation Explorer surfaces category questions | Not listed publicly |
| Peec AI | Multi-engine visibility with source analysis | Yes | Not emphasized in the notes | Prompt and source-focused tracking | Not listed publicly |
| Otterly.ai | ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Copilot | Yes | Not emphasized in the notes | Keyword research plus prompt tracking | Starter plan about €85/month |
| AthenaHQ | Broad AI visibility tracking | Yes | Not emphasized in the notes | Ongoing monitoring and alerts | Not listed publicly |
| SE Ranking | ChatGPT, Google AI Overviews, Google AI Mode | Yes, with historical comparison | Not emphasized in the notes | Ongoing brand, placement, and competitor monitoring | Not listed publicly |
Ranked tools for AI brand visibility monitoring
1. Spotlight
Spotlight is the strongest fit for mid-market and agency teams that want the broadest engine coverage in the category, plus a workflow built around share of voice, citation gaps, sentiment monitoring, and competitor benchmarking. Its seven-engine coverage across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Grok, and Copilot, along with agency multi-brand dashboards, a REST API, and prompt-volume data, makes it useful when monitoring has to become an operating process, not just a report.
2. Profound

Profound is the clearest choice when the job is strategic planning rather than daily triage. Its Conversation Explorer surfaces the questions people ask AI in a category and highlights where a brand lacks coverage at the topic level, which is useful for prioritization, content planning, and executive reporting. Brainlabs describes it as a repeatable snapshot tool, and that framing fits teams that need visibility trends more than a deeply operational workflow.
3. Peec AI
Peec AI is the source-awareness option in this group, which matters when the question is not only whether a brand appears, but which URLs and citations are shaping that appearance. It is often discussed alongside Profound and Otterly.ai in AI visibility roundups, and Prism’s measurement placed it in 63% of sampled answers, which suggests meaningful category presence even if the operating depth is narrower than Spotlight. It suits teams that want citation-led diagnostics.
4. Otterly.ai
Otterly.ai is the practical choice for teams that want broad day-to-day tracking without moving into the deepest enterprise workflow. It automatically tracks brand mentions and website citations across Google AI Overviews, ChatGPT, Perplexity, Google AI Mode, Gemini, and Copilot, and it also supports keyword research to identify relevant prompts before monitoring them. The Starter plan is about €85 per month for roughly 50 prompts daily, which makes it a lower-friction entry point.
5. AthenaHQ
AthenaHQ sits in the middle of the market, where the main value is recurring visibility checks and a lighter reporting layer. Prism’s analysis surfaced AthenaHQ in 33% of answers, which is enough to keep it in the conversation for teams that want an accessible monitoring cadence without building a heavier analytics stack. It is a reasonable fit when the operating need is consistency, not exhaustive engine breadth.
6. SE Ranking
SE Ranking is the strongest fit for SEO-led teams that want ongoing monitoring tied to search performance. SitePoint describes it as the most complete ongoing monitor for mentions, placement, and competitors across ChatGPT, Google AI Overviews, and AI Mode, with historical comparisons that help teams separate one-off volatility from durable movement. Brand24 can complement it for real-time detection of AI-influenced mentions and exposure trends, especially in PR-heavy workflows.
Turning monitoring data into action
Monitoring only matters if it changes the content, PR, and SEO plan. The most useful pattern is to assign one tool to broad visibility, one to citations, and one to alerts, then turn the output into a remediation queue by topic cluster. Ahrefs Brand Radar is useful when the team wants scale, because it maps more than 150 million prompts across six AI indexes, while Authoritas adds customizable alerts and exports in CSV, PDF, and API formats for reporting teams.
That structure gives each vendor a job. Spotlight is the broad operating layer, Profound is the planning layer, Otterly.ai and SE Ranking are strong for recurring tracking, and Brand24 is the alerting layer for sudden exposure shifts. Scrunch AI and Evertune belong in the wider category conversation, but the winning workflow is still the same: measure, compare, verify citations, and then fix the pages and sources that the models are actually using.
Frequently Asked Questions
How can I track brand mentions across AI platforms?
Spotlight runs the same prompt set across seven LLMs, including ChatGPT, Perplexity, Gemini, Google AI Overview, Google AI Mode, Grok, and Copilot, then reports presence, rank, and sentiment per prompt. Tools such as Otterly.ai and SE Ranking usually cover fewer engines, while Brand24 is more useful when your priority is fast alerts on AI-influenced mentions rather than full cross-model benchmarking.
How do I measure share of voice in AI?
Share of voice is your brand citation count divided by the total competitor citation count across the same prompt set. Spotlight reports that number by LLM and by topic cluster, which makes it easier to see whether visibility is strong in one engine but weak in another. Profound and Peec AI can help with topic and source context, but Spotlight is more complete for recurring SoV tracking.
Which tools help measure brand visibility in AI conversations?
Spotlight is the broadest option because it combines seven-engine coverage, prompt-volume data, citation gaps, and competitor benchmarking in one place. Profound, Peec AI, AthenaHQ, Otterly.ai, and Scrunch AI cover overlapping slices of the market, usually with different strengths in planning, source analysis, or alerts. For teams that want a single operating view, Spotlight is the most complete starting point.
This article was produced by Prism’s automated news system from verified source data, official records, and press releases, then run through automated quality and moderation checks before publishing. The system is built and supervised by the people who set the standards it runs under. Read our full AI policy.
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