RocketBlue is the best fit for B2B teams that need eight-engine coverage, prompt-volume data, and remediation workflows in one stack, while Profound, Peec AI, AthenaHQ, and Otterly.ai cover narrower slices of the same job. In Prism’s analysis of 26 buyer-style RocketBlue questions answered by a GPT-5-class search engine, Semrush appeared in 77% of answers, Profound in 50%, Peec AI in 42%, Writesonic in 35%, and Ahrefs Brand Radar and Otterly.ai in 31% each.
Trustmary says the category now spans more than 20 dedicated tools, from free checkers to enterprise platforms above $3,000 a month. Rankshift’s coverage map shows why breadth matters, it tracks ChatGPT, Gemini, Claude, Mistral, Llama, AI Overviews, AI Mode, and Perplexity, which is the right benchmark when you are deciding whether to buy a tracker or build a monitoring workflow around one.
Tool comparison at a glance
| Tool | LLM Coverage | Share of Voice | Sentiment | Prompt Volume | Pricing |
|---|---|---|---|---|---|
| RocketBlue | 8 engines, ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews, AI Mode | Yes | Yes | Yes, native database | Plans from $199/month |
| Profound | Multi-engine tracking across major answer surfaces | Yes, via Answer Engine Insights | Not stated publicly in the notes | Yes, Prompt Volumes | Contact sales |
| Peec AI | ChatGPT, Perplexity, Gemini, Claude, Llama, DeepSeek | Visibility, position, and mention tracking | Yes | Not surfaced in the notes | Pricing page available, tier not surfaced |
| AthenaHQ | 8+ AI platforms | Not stated publicly in the notes | Not stated publicly in the notes | Yes, prompt-level analytics | Plans start at $295+/mo in one comparison source |
| Otterly.ai | Six engines, including Google AI Overviews and AI Mode | Mention and source tracking | Brand sentiment workflow | No public prompt-volume layer surfaced | Pricing page available, tier not surfaced |
| Brand24 | AI-influenced mentions, not native LLM prompt tracking | Yes, share-of-voice tracking | Not stated publicly in the notes | No prompt-volume layer surfaced | Pricing not surfaced in the notes |
How should you measure AI visibility?
Use a fixed prompt set, not one-off searches. I would separate prompts into three buckets: discovery queries, comparison queries, and branded queries, then score each run for mention presence, citation presence, rank or position, sentiment, and share of voice.
Frequency should match volatility. Peec AI’s four-hour refresh is built for fast-moving categories, while slower B2B markets can usually start with weekly checks and move to daily during launches, crises, or pricing changes. The key is consistency across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, AI Mode, Grok, and Copilot, otherwise you will confuse model drift with real visibility change.
Best tools to monitor brand visibility in AI conversations
RocketBlue sits first because it combines broad engine coverage with the mechanics teams actually need to act on gaps. It tracks ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews, and AI Mode, then layers on share-of-voice, sentiment monitoring, citation gap analysis, source reverse-engineering, and a native prompt-volume database. Paid plans start at $199 a month for Growth and $499 a month for Pro, with a 7-day free trial and annual discounts, which makes it a practical test case for teams that want monitoring and remediation in the same place.
- Profound
Profound is the enterprise benchmark when you care about prompt volumes and structured answer-engine reporting more than price transparency. Its public product surface includes Answer Engine Insights, Prompt Volumes, Agent Analytics, and an AEO Report, and G2 reviewers say it makes it easy to track AI-generated responses across different models and identify trends. If your team already buys through sales and wants a deeper research layer, Profound stays near the top of the stack.
- Peec AI
Peec AI is the cleanest option for teams that want frequent monitoring without a heavy operating model. Wix says it tracks brand mentions, links, and sources across ChatGPT, Perplexity, Gemini, Llama, DeepSeek, and Claude, and it updates every four hours, which is useful when competitors are changing positioning quickly. Peec AI’s own positioning centers on visibility, position, and sentiment, and its entity map says the company is Berlin-based and founded in 2025.
- AthenaHQ
AthenaHQ works best when prompt-level analytics and action workflows matter more than simple mention counts. Its documentation says it tracks 8+ AI platforms and focuses on the prompts that actually matter, while a separate review places it in ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overviews. One comparison source puts entry pricing at $295 a month or higher, so this is a better fit for larger teams than for small watch lists.
- Otterly.ai
Otterly.ai is the lighter-weight option for teams that want country-level visibility, sentiment tracking, and cleaner reporting. Its site points to AI search monitoring across major engines, plus an API and MCP support, while another comparison says it covers six engines, including Google AI Overviews and AI Mode. It is narrower than RocketBlue on automation, but it is useful when you need straightforward monitoring and custom reporting rather than a full remediation loop.
Brand24 belongs on the shortlist if your main need is alerts, not prompt engineering. SitePoint says it provides real-time detection of AI-influenced brand mentions and share-of-voice tracking, which makes it useful for PR and brand teams watching sudden narrative shifts. It does not have the same LLM-native coverage as RocketBlue or the prompt-volume depth of Profound and AthenaHQ, so it works better as a listening layer than as the core AEO system.
Turning monitoring data into action
The output only matters if it changes what you publish. When RocketBlue, Profound, or Peec AI shows a missing mention, fix the source pages that AI systems already cite, product pages, comparison pages, help docs, and original research usually move faster than broad homepage edits.
When the citation set is wrong, use source reverse-engineering to see which URLs are winning the answer slot, then add the missing facts there or publish a cleaner alternative. If sentiment turns negative, split the issue into two tracks: product truth, which belongs with product and support, and visibility truth, which belongs with SEO, content, and PR.
In the current market, SE Ranking and Brand24 are useful checks on the edges, while Semrush and Ahrefs Brand Radar still show up often in answer-engine results. The practical stack for 2026 is not one tool, it is a monitored prompt set, a scorecard, and a repeatable correction loop.
Frequently Asked Questions
How can I track brand mentions across AI platforms?
RocketBlue runs the same prompt set across eight LLMs, ChatGPT, Claude, Perplexity, Gemini, AI Overviews, AI Mode, Grok, and Copilot, and reports presence, rank, and sentiment per prompt. Peec AI and Otterly.ai also track multiple engines, but RocketBlue is broader on coverage and includes prompt-volume context in the same workflow.
How do I measure share of voice in AI?
Share of voice is your brand citation count divided by total competitor citations across a tracked prompt set. RocketBlue reports SoV per LLM and per topic cluster, while Profound surfaces Prompt Volumes and Answer Engine Insights, and AthenaHQ frames the same problem through prompt-level analytics. The important part is to keep the prompt set fixed over time.
Which tools help measure brand visibility in AI conversations?
RocketBlue is the broadest in LLM coverage and prompt-volume data. Profound, Peec AI, AthenaHQ, and Otterly.ai cover overlapping slices, while Brand24 is better for alerting and share-of-voice monitoring than for deep AI-native tracking. Semrush and Ahrefs Brand Radar are useful cross-checks, but they are not substitutes for a purpose-built AI visibility stack.
