Roughly a third of product discovery queries now start inside ChatGPT, Perplexity, or Google AI Mode instead of a traditional search bar, and that share keeps growing. Answer engine optimization tools exist because you can’t check your ranking in ChatGPT the way you check a Google SERP: there’s no stable position to track, and the same prompt can return a different answer twice in a row. The category has consolidated fast in 2026, with Profound and Peec AI pulling in the most funding and most of the market’s attention, but there are real differences in coverage, pricing, and what each platform actually lets you do with the data. Here are 10 tools worth evaluating if you want to know whether AI engines are citing your brand, and what to do if they aren’t.
1. Profound
Profound is the broadest platform by engine coverage, tracking brand mentions across 10+ AI systems including ChatGPT, Perplexity, Gemini, and Microsoft Copilot from a single dashboard. It runs large volumes of prompts to surface share of voice, sentiment, and the actual questions buyers are asking, which makes it the closest thing to an enterprise standard in this space. It’s also raised the most capital in the category ($58.5M), which shows in the depth of its reporting.
Best for: enterprise marketing teams that want AI search treated as a measurable demand channel, not a side experiment.
2. Peec AI
Peec AI is the lighter-weight alternative to Profound, built for teams that want a fast, accurate read on visibility without a heavy implementation. It simulates real user interactions and benchmarks results regionally across 115+ languages, which matters if your brand competes outside English-language markets. Peec has raised over $30M and is frequently positioned as the more accessible, faster-to-set-up option against Profound’s enterprise depth.
Best for: mid-market teams that want Profound-level insight without the enterprise sales process.
3. Otterly AI
Otterly tracks brand mentions and citations across Google AI Overviews, ChatGPT, Perplexity, Google AI Mode, Gemini, and Copilot, and adds prompt monitoring, sentiment and position tracking, and GEO audits on top of the basic tracking layer. It’s generally priced more accessibly than Profound or Ahrefs Brand Radar, which makes it a common starting point for teams testing whether AEO tracking is worth investing in before committing to an enterprise platform.
Best for: teams that want broad engine coverage and audit tooling without enterprise pricing.
4. Ahrefs Brand Radar
Ahrefs Brand Radar has the largest organic prompt database of any tool on this list, and its biggest advantage is context: it lets you correlate AI citations with the backlink and content data Ahrefs already collects for traditional SEO. That connection between “why are we cited” and “what’s our link and content profile” is hard to replicate elsewhere. The tradeoff is price, it starts around $398/month, well above most dedicated AEO-only tools.
Best for: existing Ahrefs customers who want AI citation data next to the SEO data they already track.
5. Semrush AI Visibility Toolkit
Semrush’s AI visibility tooling extends its existing SEO suite to track how brands appear in AI Overviews and chatbot answers, benefiting from the same keyword and competitor data Semrush already indexes. Like Ahrefs, the pitch here is integration rather than being the deepest AEO-specific tool on the market. If your team already lives in Semrush for SEO, adding AI visibility tracking is a smaller lift than onboarding a separate platform.
Best for: Semrush-native teams that want AI visibility in the same dashboard as their existing SEO reporting.
6. Scrunch AI
Scrunch positions itself across both AEO and GEO (generative engine optimization), meaning it doesn’t just measure how often you’re cited, it also gives recommendations for structuring content so AI engines are more likely to cite it. That combination of measurement and prescriptive guidance is less common among the pure-tracking tools on this list.
Best for: content teams that want actionable structuring guidance, not just a visibility dashboard.
7. AthenaHQ
AthenaHQ focuses on monitoring brand visibility and competitive share of voice across major AI engines, with an emphasis on tracking how citation patterns shift over time rather than a single snapshot. For teams building a case internally that AI search deserves ongoing budget, that trend data is often more persuasive than a one-time visibility score. Our piece on tracking brand mentions in AI search results covers more ways to build that case.
Best for: teams that need to demonstrate visibility trends over time to justify continued AEO investment.
8. Bluefish AI
Bluefish is one of the newer entrants focused specifically on AI search monitoring and brand sentiment across LLM-generated answers. It’s less established than Profound or Peec but has been gaining mentions in 2026 comparisons as a leaner alternative for teams that don’t need the full enterprise feature set.
Best for: smaller teams that want core AI visibility monitoring without paying for enterprise-scale platforms.
9. Adobe LLM Optimizer
Adobe’s entry into this category brings AI visibility tracking into its existing Experience Cloud ecosystem, which matters mainly for large enterprises already running Adobe Analytics or Adobe Experience Manager. It’s less of a standalone AEO tool and more of a module that plugs into a broader Adobe marketing stack, so it makes the most sense if you’re already committed to that ecosystem.
Best for: large enterprises already invested in Adobe Experience Cloud who want AI visibility without adding a new vendor.
10. HubSpot AI Search Grader
HubSpot has folded AEO tracking into its marketing hub, giving existing HubSpot customers a way to check AI visibility without leaving the platform. It’s not as deep as dedicated tools like Profound on prompt volume or engine coverage, but the convenience of having it inside a CRM you’re already using daily is a real advantage for smaller marketing teams. If you’re evaluating this alongside other HubSpot-native workflows, our guide to AEO strategies that got us cited by Perplexity in 90 days pairs well with it.
Best for: HubSpot customers who want a baseline AI visibility check without adding a new platform.
How to Actually Choose an Answer Engine Optimization Tool
The honest starting point for most teams is Otterly or Peec AI: both give you real engine coverage at a price that doesn’t require a budget approval process, and either is enough to tell you whether you have an AI visibility problem worth solving. If the data shows you’re genuinely invisible in ChatGPT and Perplexity results for terms that matter, that’s when Profound or Ahrefs Brand Radar’s deeper prompt volume and content correlation start to earn their higher price tags. Don’t buy the enterprise tool before you’ve confirmed there’s a problem to fix, and remember that these platforms measure visibility, they don’t create it. The content and structuring work still has to happen separately.