We reviewed 11 AI search visibility tools for tracking brand presence in ChatGPT, Perplexity, and AI Overviews. Compare features, pricing, and AI engine coverage.
Your brand is being recommended — or ignored — inside ChatGPT, Perplexity, Google AI Overviews, and Claude right now. And if you're like most B2B software companies, you have zero visibility into what's happening there.
Traditional rank trackers tell you where you sit in Google's blue links. They tell you nothing about whether AI is citing you, how it positions you against competitors, or which buyer questions you're invisible on. That blind spot is an answer engine optimization problem — and it's growing. (New to AEO? Start with our guide: What is AEO?)
Here's what makes this harder than it should be: most of the 160+ AEO tools on the market hand you an empty dashboard and tell you to figure out which prompts to track. You guess. You pay. You get data dumps without direction. The best AI search visibility tools don't work that way. The strongest platforms in this category come with intelligence already built in — pre-mapped categories, buyer-intent prompts, and historical data — so you're not starting from zero.
We reviewed 11 AI search visibility tracking software platforms to help you find the right monitoring solution. Some are purpose-built for the AI era. Others are legacy SEO tools bolting on new features. The differences matter, and they'll shape whether you get actionable intelligence or another dashboard collecting dust.
AI search visibility tools monitor whether your brand, content, or URLs appear in AI-generated search results. That's a fundamentally different measurement from what traditional SEO platforms track.
A rank tracker tells you that your blog post sits at position 4 for "project management software." An AI visibility tool tells you whether ChatGPT recommends your product when a buyer asks "What's the best project management tool for remote teams?" — and whether it cites your website or a competitor's review page as the source.
The metrics these platforms typically measure include citation frequency (how often AI links to your content), share of voice in AI responses (how you stack up against competitors), sentiment analysis (whether AI frames your brand positively or negatively), and competitive benchmarking (who's winning the AI recommendation battle in your category). Some platforms also track AI crawler behavior — showing you which bots visit your site and how often.
The gap in most tools isn't the what — it's the so what. Knowing you were mentioned in 47 prompts last week means nothing if you can't connect that to the buyer questions that actually drive pipeline. That's why the most useful platforms go beyond raw monitoring and layer in buyer intent intelligence on top.
Not all platforms deliver the same value. Here's what separates a useful tool from an expensive screenshot generator.
Multi-engine coverage. The minimum viable coverage in 2026 includes ChatGPT, Perplexity, and Google AI Overviews. Strong platforms also track Gemini, Claude, Copilot, and Google AI Mode. If a tool only monitors one engine, you're getting a fraction of the picture. Check whether additional engines are included in base pricing or charged as add-ons — that distinction will affect your real cost significantly.
Citation-level tracking. Surface-level mention counts don't tell you much. You need to see the exact queries where your brand is mentioned (or conspicuously absent), which URLs are cited, and whether you're recommended or just referenced in passing. The best tools let you drill into individual AI responses to see full context.
Competitive benchmarking. Knowing your own visibility is table stakes. Knowing how you compare against named competitors — and on which specific queries they're outperforming you — is where strategy starts. Look for platforms that allow head-to-head competitor tracking across categories and prompts.
Prompt methodology. This is where tools diverge most. Some make you build your own prompt library from scratch. Others use synthetic prompts generated by algorithms. The strongest approach: curated prompt libraries built around how real buyers evaluate products, with human editorial review. The gap between "prompts a tool vendor guessed at" and "prompts your buyers actually type" is the gap between vanity metrics and actionable intelligence.
Historical trending. A single snapshot of AI visibility is almost meaningless because LLM responses fluctuate. What matters is directionality over weeks and months. Platforms that have been collecting data longer give you trends you can't backfill — a genuine advantage that compounds over time.
Reporting and integrations. Can you export to CSV? Connect to GA4 for attribution? Pull data via API into your BI tools? If AI visibility tracking lives in a silo, disconnected from the rest of your marketing stack, it'll eventually get deprioritized.
CheckThat takes a fundamentally different approach than most AI visibility platforms — and it's the difference that matters most if you're a B2B software company.
The problem with nearly every tool in this category is the cold start. You sign up, you see an empty dashboard, and you're immediately faced with questions: Which prompts should I track? What are my competitors monitoring? What do buyers actually ask AI about my category? Most platforms leave that entirely to you. You're paying before you learn anything.
CheckThat flipped the model. The team mapped 172 B2B software categories, researched 5,800+ brands, and built a shared prompt library grounded in how real buyers discover and evaluate software in AI search. Every prompt goes through human editorial review — not algorithmic guesswork. And they started tracking daily across ChatGPT, Perplexity, Claude, and Google AI Mode before you signed up, which means there's historical data waiting for you on day one.
The result: you plug in and immediately see where your brand ranks within your category, who's winning the buyer conversations you care about, and which prompts you're invisible on. No setup weeks. No guessing.
Key Features:
AI Engines Covered: ChatGPT, Perplexity, Claude, Google AI Mode
Pricing: Free tier for public index visibility; paid plans for custom prompts and deeper historical data
Best For: B2B software companies (Seed to Series C) that want intelligence on day one, not another dashboard to configure from scratch.
Verdict: CheckThat is our top recommendation for B2B software teams entering the AI visibility space. The no-cold-start approach isn't just a convenience — it's a strategic advantage. While other tools are still asking you to guess which prompts matter, CheckThat's team has already done the research. The open data model (free tier before you pay) also builds trust in a category where most vendors gate everything behind a paywall. The buyer-intent layer on top of standard AEO tracking makes this more than a monitoring tool — it's competitive intelligence for a channel that most B2B brands are still flying blind on. The main limitation is scope: CheckThat is purpose-built for B2B software. If you're outside tech, you'll need a more general platform.
Profound is the most heavily funded player in the AI visibility space, with $58.5M raised and a growing roster of Fortune 500 clients. The platform positions itself as a "read/write" system — designed not just to monitor your AI presence but to help you shape it through content optimization workflows.
Key Features:
AI Engines Covered: ChatGPT, Perplexity, Google AI Overviews, Copilot, Gemini, Grok, Meta AI, DeepSeek (full suite requires Enterprise tier)
Pricing: Starter at $99/month (ChatGPT only); Growth at $399/month (3 engines); Enterprise custom pricing
Best For: Large enterprises with dedicated analytics teams that can act on raw data and build custom dashboards.
Verdict: Profound offers the deepest analytics in the category, and its CDN-based crawler tracking is something no competitor matches at this scale. But the pricing structure creates a real barrier: the $99 Starter plan limits you to ChatGPT only, and the $399 Growth plan still restricts you to three engines. Full platform access requires Enterprise pricing that most mid-market teams can't justify. Teams without BI support may find the tool data-heavy but insight-light. Contrast that with CheckThat's approach, where category intelligence is pre-built and accessible immediately — Profound gives you power tools, but you need to bring your own blueprints.
Otterly.AI has grown from a bootstrapped Austrian startup to over 20,000 users by focusing on accessibility. The platform covers six AI engines from a single dashboard, and its Semrush App Center integration makes it a natural add-on for teams already in that ecosystem.
Key Features:
AI Engines Covered: ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, Google AI Mode
Pricing: Lite at $29/month (15 prompts); Standard at $189/month (100 prompts); Premium at $489/month (400 prompts)
Best For: SMB marketing teams and solo marketers who need a straightforward entry point without enterprise pricing.
Verdict: Otterly is the easiest on-ramp to AI visibility tracking. The $29/month Lite plan lets you test whether AI visibility matters for your business before committing more budget, and the interface is clean enough that you won't need a training session. The trade-off is depth: Otterly doesn't detect hallucinations or validate whether AI's description of your product is accurate. You also build your own prompt library from scratch — no pre-built intelligence, no buyer-intent mapping. That means weeks of setup before you're getting meaningful data, and no guarantee your sample set reflects what buyers actually ask.
Peec AI is a Berlin-based platform that raised roughly €7M within its first five months, reaching €650K ARR in four months of operation. The standout capability: 115+ language support, which makes it the strongest option for global brands and agencies managing international campaigns.
Key Features:
AI Engines Covered: ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok (some engines may be add-ons depending on plan)
Pricing: Starter at approximately €89/month (1 brand, 3 competitors, 25 prompts); Enterprise at €499/month (5 brands, 10 competitors, 300+ prompts)
Best For: Agencies running multi-client, multi-language campaigns and mid-market brands tracking visibility across regions.
Verdict: Peec's 115-language support is unmatched. If you're a European brand tracking visibility in five markets simultaneously, or an agency managing international clients, that capability alone might justify the price. The daily prompt refresh cycle also outpaces most competitors. The limitation is that Peec is monitoring-only — there are no built-in optimization or execution tools. You'll pair it with other platforms to act on the insights. And like most tools in this category, you're building your prompt library yourself rather than starting with pre-mapped buyer intent.
Scrunch tracks brand visibility across more AI engines than most competitors, covering seven platforms simultaneously. The company also raised a $15M Series A led by Decibel, signaling long-term viability in a crowded field.
Key Features:
AI Engines Covered: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Meta AI
Pricing: Business at $300/month (350 custom prompts); Agency at $300/month (250 prompts across multiple companies); Enterprise custom
Best For: Mid-market to enterprise brands that need the widest AI engine coverage and have internal teams to act on monitoring data.
Verdict: Scrunch offers the broadest engine coverage — if you want one platform watching all seven major AI engines, this is it. The GA4 integration for tracking actual AI referral traffic is a practical differentiator. But the pricing is steep for what's still primarily a monitoring tool. "Insights" and "Site Audits" remain in beta, and the custom prompt credit system can be confusing: tracking 100 prompts across five engines consumes 500 credits. Like Profound, Scrunch gives you a powerful telescope — but doesn't tell you where to point it the way a buyer-intent-first platform would.
Semrush doesn't need an introduction. The established SEO platform now offers an AI Visibility Toolkit as a $99/month add-on, bringing AI search tracking into the ecosystem where many teams already manage keywords, backlinks, and site audits.
Key Features:
AI Engines Covered: ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot (varies by plan)
Pricing: AI Toolkit standalone at $99/month; Semrush One bundles starting at $199/month (includes traditional SEO tools + AI visibility)
Best For: Teams already paying for Semrush who want AI visibility in the same dashboard as existing SEO metrics.
Verdict: Convenience is the value proposition. If you're already a Semrush subscriber, adding the AI Toolkit means one less vendor to manage. The free AI Search Visibility Checker is a smart entry point for teams evaluating the space. The concern, raised by multiple independent reviewers, is data accuracy. Semrush's global prompt index includes branded queries (where you'd appear by default) mixed with competitive queries, which can produce misleading visibility scores. If you're making strategic decisions based on this data, interrogate what's driving the numbers before trusting them.
Ahrefs has entered the AI visibility space with Brand Radar, which correlates AI citation data with its industry-leading backlink database. Rather than tracking synthetic prompts, Ahrefs mines its database of 250M+ real-world prompts derived from actual search queries — a philosophically different approach.
Key Features:
AI Engines Covered: ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, Google AI Mode (individual indexes or 6-index bundle)
Pricing: Currently in beta and free across all Ahrefs plans ($129+/month for Ahrefs Lite); $199/month per AI index or $699/month for the 6-index bundle once fully launched
Best For: Existing Ahrefs users who want to understand the relationship between link-building efforts and AI visibility.
Verdict: Connecting backlink intelligence with AI citation data is a uniquely valuable lens no pure-play tool offers. The real-prompt approach is theoretically more representative of actual buyer behavior than synthetic prompts. The reality, as of early 2026, is that Brand Radar is still rough. Data lags, B2B niche coverage is thin (particularly on Perplexity and Claude), and querying the database requires significant trial-and-error filtering. Good for directional insights; not yet ready to be your primary AI visibility platform.
Hall is a Sydney-based GEO platform that leads with design. You can generate a free, shareable brand visibility report without signing up — a genuinely useful quick audit that doubles as a smart acquisition move.
Key Features:
AI Engines Covered: ChatGPT, Claude, Copilot, DeepSeek, Gemini, Google AI Overviews, Meta AI, Perplexity
Pricing: Lite free (limited projects/queries); Starter and Business tiers paid; Enterprise from $1,499/month with API access
Best For: Marketing teams that want a fast initial audit and visually clean reporting without a steep learning curve.
Verdict: Hall's free audit is the best "try before you buy" experience in the category — second only to CheckThat's free public index as a zero-cost starting point. The Slack integration and clean UI make it popular with content teams that need fast feedback. The trade-off is that most of Hall's powerful features (full conversation history, competitive benchmarks, API access) live behind the Business and Enterprise tiers. Smaller teams will see signals but may lack the tools to dig into causes.
AthenaHQ was founded by ex-Google and DeepMind engineers — a pedigree that carries weight in a space where understanding how search systems actually work is a genuine advantage. The platform combines AI visibility tracking with content optimization recommendations, positioning it as more than a monitoring tool.
Key Features:
AI Engines Covered: ChatGPT, Perplexity, Google AI Overviews, Gemini (verify current coverage directly)
Pricing: Starter at $199/month (20 projects, 500 questions); Business at $499/month (50 projects, 1,000 questions); Enterprise from $1,499/month
Best For: Mid-market teams that want both monitoring and optimization guidance in one platform.
Verdict: AthenaHQ bridges the gap between "knowing where you stand" and "knowing what to do about it" better than most pure monitoring tools. The founding team's search engineering background shows in the optimization recommendations. The pricing isn't budget-friendly, and the platform is newer with fewer public reviews. Worth evaluating if you need execution-ready insights rather than raw data — though for B2B software companies, CheckThat's pre-built intelligence may deliver a faster path to action at a lower starting cost.
HubSpot's AI Search Grader provides a free AI visibility assessment with no subscription, no API keys, and no technical setup. It's limited compared to paid platforms, but it answers the first question most teams have: "Does AI even mention us?"
Key Features:
AI Engines Covered: ChatGPT, Google AI Overviews (coverage may be more limited than paid tools)
Pricing: Free
Best For: Any marketing team (regardless of vertical) taking their first step into AI visibility measurement.
Verdict: The HubSpot AI Search Grader won't replace a dedicated monitoring platform. But it's the fastest path from "I've never checked this" to "here's a baseline number I can share with my VP." Use it alongside CheckThat's free public index — HubSpot gives you a general visibility snapshot; CheckThat gives you category-specific buyer intent intelligence. Together, they're a compelling free starting stack.
This isn't a standalone tool, but it's worth including: Google Analytics 4 can now filter referral traffic from AI platforms. If you configure custom segments for AI-sourced visitors, you get basic attribution data without any additional subscription.
Key Features:
AI Engines Covered: Any platform that sends referral traffic (ChatGPT, Perplexity, etc.)
Pricing: Free (included with GA4)
Best For: Data-savvy teams that want to measure AI traffic impact without adding another vendor.
Verdict: GA4's AI referral data tells you what happens after someone clicks through from an AI response. It doesn't tell you whether you're being mentioned, cited, or recommended in the first place. Use GA4 alongside a monitoring platform, not instead of one.
The AI search visibility category is moving fast. New platforms launch monthly, established players add features quarterly, and the AI engines themselves update in ways that can shift brand visibility overnight.
What won't change: if B2B buyers are discovering and evaluating solutions inside AI search — and they are — you need measurement. The tools in this guide range from free entry points to enterprise platforms. And the right choice depends less on budget than on whether you need raw monitoring or intelligence built on top of it.
For B2B software companies, the choice is clearer than in most tool categories. CheckThat built the layer that every other platform expects you to build yourself: mapped categories, researched brands, curated prompts, and historical data. You don't configure an empty dashboard. You open it and see where you stand in your market. The free public index means you can validate that for yourself in the next five minutes.
For the complete AEO picture beyond visibility — content optimization, structured data strategy, and the how to optimize for AI search playbook — start with our guide on What is AEO?
The brands that start tracking now will have the historical data everyone else wishes they had in twelve months. Pick a tool. Set a baseline. Start watching.
Every week, we share real examples and systems the fastest-growing companies are using to scale smarter.
Get the last workshop recording when you sign up.
We tested 11 AEO analysis tools — free checkers, graders, and audit platforms — with pricing, scores, and honest verdicts to measure your AI search readiness.
The best AEO tools ranked by features, pricing, and AI visibility coverage. Find the right answer engine optimization platform for your team.
