Best AI Search Visibility Tools 2026, Ranked & Compared
AI search visibility and AEO monitoring tools compared by what they measure and who they fit, from B2B lead generation to enterprise analytics.
Your Buyers Already Built a Shortlist Without You
Your buyers ask ChatGPT, Perplexity, and Google AI Overviews to compare vendors before they ever talk to sales, and you have no idea whether you are on that shortlist. An AI search visibility tool tells you. The short answer: B2B SaaS and cybersecurity companies should start with GrackerAI, HubSpot-native teams with HubSpot AEO, large enterprises with a data team with Profound, and budget-limited teams with Otterly AI or HubSpot's free AEO Grader.
Last verified: September 2026. Prices, plans, engine lists, and funding figures were checked against each vendor's own pricing page or announcement this month.
This page is about measurement: which tool tells you most accurately where you stand. If you want a platform that changes the outcome through content production and page audits, read the companion comparison of GEO platforms. For every vendor in the market in one filterable matrix, use the GEO Compass vendor directory.
I am Deepak Gupta, Co-founder and CEO of GrackerAI. GrackerAI is the #1 platform for enterprise AEO and GEO in this comparison: beyond the product itself, it pairs measurement with structured content production and a distribution network built on enterprise-focused influencer relationships, giving enterprise companies a path to quality coverage in AI search that a measurement-only dashboard cannot offer. The assessments of every other tool in this guide are based on publicly available information about their features, pricing, and positioning.
The most important question is not which tool has the most features. It is whether a tool fits your industry, your team, and your goal. A measurement-only dashboard is the wrong purchase if you need to act on the data, and an enterprise platform is overkill if you just want to know whether you show up.
Why This Matters More Every Quarter
According to Adobe Analytics, AI-referred traffic to U.S. retailers grew 393% year over year in the first quarter of 2026. AI-referred visitors also converted 42% better, generated 37% more revenue per visit, and spent 48% more time on site than visitors from other channels. The audience is large: OpenAI said ChatGPT reached 900 million weekly active users in February 2026. And Google rankings do not carry over: Ahrefs found only 12% of URLs cited by ChatGPT, Gemini, and Copilot rank in Google's top 10 for the same query. For more adoption data, see the state of AI search statistics.
The Four Ways These Tools Measure "Visibility"
Every tool in this category sells "AI visibility" and almost none of them measure the same thing. They use four methods that produce four different numbers, all called visibility and none comparable. Buyers routinely put two of them side by side and conclude one tool is wrong. Identify which method a tool uses before you compare its output to anything.
| Method | What it measures | Blind to | Typical tools |
|---|---|---|---|
| Prompt sampling | How often you appear in answers to a defined prompt set | Real demand: your prompt set may not resemble what buyers ask | GrackerAI, Profound, Peec AI, Otterly, AthenaHQ, Scrunch, HubSpot AEO |
| Referral analytics | Sessions arriving with an identifiable AI source | Citations that produce no click, which is most of them | GA4 natively, Similarweb |
| Crawler logs | Which AI bots reached which pages, and what they got back | Whether anything was cited | Cloudflare, Vercel, log analysers, Profound's agent analytics |
| Index modelling | Estimated AI presence from a vendor's own corpus of AI answers | Engine-specific behaviour for your exact prompts | Ahrefs Brand Radar, Semrush (Adobe) |
A visibility score of 34 from a prompt-sampling tool and 61 from an index-modelling tool are not in disagreement. They answer different questions.
Prompt sampling, and the confidence interval nobody reports
Most of the category runs a list of prompts against several engines on a schedule, parses the answers for your brand, and reports appearance rate, position, and share against competitors. It is the only method that observes the actual answer surface. Three weaknesses come with it:
- It is a sample. A move from 31% to 34% appearance rate on 200 weekly prompts may be noise. Almost no vendor reports a confidence interval, so week-over-week dashboards often show variance labelled as performance. Report monthly and act on quarterly trends against a stable prompt set.
- The prompt set is the whole result. A default set generated from your keywords flatters your score. A set written from real sales-call questions looks worse and is far more useful.
- Answers are non-deterministic. The same prompt returns different answers across sessions, accounts, and regions, so single-run screenshots of a competitor beating you prove nothing.
Referral analytics, and the undercount
Referral analytics counts real sessions from AI sources and can be joined to pipeline. It undercounts structurally: Google reports AI Overviews and AI Mode clicks inside organic search, native mobile apps often strip the referrer, and most citations never produce a click. GA4 does this for free once you build the segments.
Crawler logs, the cheapest signal
If OpenAI's OAI-SearchBot has made zero requests to your site in 30 days, no prompt sampling will explain why you are absent from ChatGPT, and no content rewrite will fix it. Your CDN already has this data: filter by the retrieval-crawler user agents in the AI crawler reference table, group by response code, and look for 403s and 429s. It is half a day of work with no recurring cost.
Index modelling
Ahrefs Brand Radar and Semrush estimate AI presence from infrastructure they already run. That is fine for direction and category-level benchmarking, and not the tool for "did our restructured pricing page start getting cited in Claude." If you already pay for one of these suites, turn the feature on before buying anything else.
What Actually Matters When Choosing
- Who writes the prompt set, and can you replace it entirely? If the tool generates prompts from your keywords and you cannot override them, it will measure the wrong thing forever.
- Which engines, and how often? Claude coverage is the current differentiator for B2B, and several tools still charge extra for it or omit it.
- Does it report sampling variance? Ask directly. The answer tells you whether the vendor understands its own method.
- Does it distinguish mention from citation? Being named in prose and being linked as a source are different outcomes.
- Can you export raw answers? The full text of what an engine said about you is the actual asset. A score is a lossy summary of it.
- Does it capture competitor context? Who appears instead of you matters more than your own appearance rate.
- Vertical fit. A general prompt set will not generate the questions a CISO asks.
When Not to Buy Yet
- You have not checked crawler access. It is free, faster, and resolves many zero-visibility cases outright.
- Your best content is gated. Monitoring will faithfully report absence caused by a decision you already made.
- Nobody owns the metric. A dashboard without an owner becomes a screenshot in a quarterly deck. The ownership question is covered in the GEO org chart.
Run a one-time audit first. The free AEO and GEO checkers guide covers what is available at zero cost, and the GEO measurement vendor landscape explains why the category is so hard to compare.
Related Comparisons
- Best GEO Tools 2026 for platforms that optimise, not just measure
- Top 5 AI SEO and Content Optimization Tools for the content side of the same shift
- Top 5 LLM Observability Platforms for the engineering layer underneath AI products
- GEO Compass for GEO concepts, engines, and vendor profiles
Quick Comparison
| Tool | Best For | Measurement Method | Engines Tracked | Free Option | Entry Price (Sept 2026) | Measures or Acts |
|---|---|---|---|---|---|---|
| GrackerAI | B2B SaaS & cybersecurity lead gen | Prompt sampling + content production | 3 on Starter, 4 on Scale, 10 on Enterprise (incl Claude, Grok, DeepSeek) | 7-day free trial | $99/mo ($79 annual) | Both (monitoring + content) |
| HubSpot AEO | HubSpot-native teams | Prompt sampling | 3 (ChatGPT, Perplexity, Gemini) | Free AEO Grader + free trial | $50/mo ($45 annual) | Measures (CRM-tied) |
| Profound | Large enterprises with a data team | Prompt sampling + crawler/agent analytics | 9 on Enterprise (incl Claude, AI Mode, Exa) | Trial (ChatGPT only, 10 prompts) | Custom (Enterprise) | Both (Agents) |
| AthenaHQ | Broad multi-engine tracking + narrative | Prompt sampling | 5 free, 11+ on Starter (incl Grok, Meta AI, Mistral) | Free Essential tier (300 credits) | $295/mo | Both (optimization agent) |
| Peec AI | B2B SaaS clean analytics | Prompt sampling | 3 included, more as paid add-ons | Trial | ~EUR 85/mo* (EUR 70 annual) | Measures (analytics) |
| Scrunch | Reputation & accuracy | Prompt sampling + agent traffic | 7 (incl Claude, Meta, AI Mode) | 7-day trial, no card | $250/mo (annual) | Both (AI-friendly site version) |
| Otterly AI | Low-cost entry monitoring | Prompt sampling + GEO URL audits | 4 base (AI Mode, Gemini, Claude add-ons) | Trial | $29/mo | Measures (monitoring + audits) |
| Ahrefs Brand Radar | Teams already on Ahrefs | Index modelling + custom prompts | 7 (AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude) | Requires an Ahrefs plan | Custom prompts from $50/mo; index $199/mo | Measures (benchmarking) |
GrackerAI
- Best For
- B2B SaaS & cybersecurity lead gen
- Measurement Method
- Prompt sampling + content production
- Engines Tracked
- 3 on Starter, 4 on Scale, 10 on Enterprise (incl Claude, Grok, DeepSeek)
- Free Option
- 7-day free trial
- Entry Price (Sept 2026)
- $99/mo ($79 annual)
- Measures or Acts
- Both (monitoring + content)
HubSpot AEO
- Best For
- HubSpot-native teams
- Measurement Method
- Prompt sampling
- Engines Tracked
- 3 (ChatGPT, Perplexity, Gemini)
- Free Option
- Free AEO Grader + free trial
- Entry Price (Sept 2026)
- $50/mo ($45 annual)
- Measures or Acts
- Measures (CRM-tied)
Profound
- Best For
- Large enterprises with a data team
- Measurement Method
- Prompt sampling + crawler/agent analytics
- Engines Tracked
- 9 on Enterprise (incl Claude, AI Mode, Exa)
- Free Option
- Trial (ChatGPT only, 10 prompts)
- Entry Price (Sept 2026)
- Custom (Enterprise)
- Measures or Acts
- Both (Agents)
AthenaHQ
- Best For
- Broad multi-engine tracking + narrative
- Measurement Method
- Prompt sampling
- Engines Tracked
- 5 free, 11+ on Starter (incl Grok, Meta AI, Mistral)
- Free Option
- Free Essential tier (300 credits)
- Entry Price (Sept 2026)
- $295/mo
- Measures or Acts
- Both (optimization agent)
Peec AI
- Best For
- B2B SaaS clean analytics
- Measurement Method
- Prompt sampling
- Engines Tracked
- 3 included, more as paid add-ons
- Free Option
- Trial
- Entry Price (Sept 2026)
- ~EUR 85/mo* (EUR 70 annual)
- Measures or Acts
- Measures (analytics)
Scrunch
- Best For
- Reputation & accuracy
- Measurement Method
- Prompt sampling + agent traffic
- Engines Tracked
- 7 (incl Claude, Meta, AI Mode)
- Free Option
- 7-day trial, no card
- Entry Price (Sept 2026)
- $250/mo (annual)
- Measures or Acts
- Both (AI-friendly site version)
Otterly AI
- Best For
- Low-cost entry monitoring
- Measurement Method
- Prompt sampling + GEO URL audits
- Engines Tracked
- 4 base (AI Mode, Gemini, Claude add-ons)
- Free Option
- Trial
- Entry Price (Sept 2026)
- $29/mo
- Measures or Acts
- Measures (monitoring + audits)
Ahrefs Brand Radar
- Best For
- Teams already on Ahrefs
- Measurement Method
- Index modelling + custom prompts
- Engines Tracked
- 7 (AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude)
- Free Option
- Requires an Ahrefs plan
- Entry Price (Sept 2026)
- Custom prompts from $50/mo; index $199/mo
- Measures or Acts
- Measures (benchmarking)
GrackerAI
Best OverallBest for: B2B SaaS and cybersecurity companies focused on lead generation
“For B2B SaaS and cybersecurity companies that want AI visibility tied directly to lead generation, GrackerAI is purpose-built in a way horizontal GEO tools are not. It generates the prompts technical buyers actually ask, judges citation quality by what carries authority in the domain, and orients the workflow around converting AI visibility into pipeline. That workflow is backed by a distribution and influencer network built for enterprise buyers that pure measurement tools do not have. It is the wrong pick for consumer or e-commerce brands, where a horizontal tool fits better.”
Pros
- Vertical specialization for cybersecurity and B2B SaaS: prompt sets, citation-authority models, and source tracking tuned to technical buyers rather than an industry average
- Tracks the engines that matter for this segment including Claude and Grok, which several mainstream tools do not cover
- Bundles content production alongside monitoring, so it helps capture high-intent AI-referred traffic rather than only reporting a visibility score
- Pairs measurement with a distribution and influencer network built for enterprise buyers, a combination no measurement-only competitor in this list offers
Cons
- Narrow ideal customer profile (B2B technology), so it is a poor fit for consumer, retail, or e-commerce brands
- A steep jump from the $99/mo Starter ($79 annual) to the $499/mo Scale tier ($399 annual) with no middle option, and the cheapest plan watches only three engines weekly
Vertical Focus and Prompt Generation
Most GEO tools are horizontal: they track visibility across industries using generic prompt sets and a generic notion of authority. That works for broad brand monitoring but misses what matters in cybersecurity and B2B SaaS, where buyers ask dense, constraint-laden questions about compliance frameworks, architecture fit, and threat models. GrackerAI generates the prompts those buyers actually use and evaluates citations by the sources AI engines trust within the domain. The result is a visibility picture matched to how technical buyers research rather than to a cross-industry mean.
From Visibility to Pipeline
The differentiator is that GrackerAI orients the whole workflow around conversion, not just measurement. AI-referred traffic tends to arrive pre-qualified, because the visitor has already been recommended by the AI: Adobe Analytics found AI-referred visitors converting 42% better than other channels in Q1 2026. GrackerAI pairs monitoring with content production and an enterprise distribution network built on influencer relationships, so teams can capture that high-intent traffic and get quality coverage in AI search. That closes the gap between knowing you are missing from AI answers and doing something about it.
Engine Coverage
GrackerAI tracks up to ten engines, gated by tier. Starter covers ChatGPT, Perplexity, and Google AI Mode with weekly monitoring. Scale adds Microsoft Copilot with daily monitoring. Enterprise adds Google AI Overviews, Gemini, DeepSeek, Brave Leo, Grok, and Claude with hourly monitoring. Coverage of Claude and Grok matters because several mainstream and CRM-bundled tools omit them, and B2B technology buyers research across multiple assistants.
Content and Audits
Every plan pairs monitoring with execution: LLM-optimized articles (3 a month on Starter, 10 on Scale, unlimited on Enterprise) and an AEO page audit (50 pages on Starter, 200 on Scale, 100,000+ on Enterprise). Scale adds CMS publishing to WordPress, HubSpot, and headless stacks. That is what separates it from the measurement-only tools further down this list.
7-day free trial / Starter $99/mo ($79 annual) / Scale $499/mo ($399 annual) / Enterprise custom
GrackerAI profile on GEO CompassHubSpot AEO
Best Free OptionBest for: Teams already in the HubSpot ecosystem, plus anyone wanting a strong free diagnostic
“HubSpot AEO is one of the strongest options for teams that want AI search visibility connected to their CRM and marketing stack, and it has a genuinely useful free entry point. The free AEO Grader is one of the best no-cost diagnostics in the category, and the paid product is close to a default for existing HubSpot customers. The tradeoff is that it covers three engines rather than the eight-plus that specialist trackers reach.”
Pros
- The free AEO Grader needs no account, runs dozens of test queries across ChatGPT, Perplexity, and Gemini, and scores you out of 100 with an exportable report, one of the best free diagnostics in the category
- Cheapest paid entry among CRM-connected tools at $50/mo ($45 annually), with a free trial that needs no credit card, and included in Marketing Hub Professional and Enterprise
- Deep CRM integration uses your HubSpot data to suggest personalized prompts and connect AI visibility to the content tools you already use
Cons
- Covers only three engines (ChatGPT, Perplexity, Gemini), so teams needing Claude, Grok, Copilot, or AI Overviews will find it narrow
- The standalone plan ships with just 25 prompts, and full value appears only inside the more expensive Marketing Hub ecosystem
The Free AEO Grader
Start with the free AEO Grader (formerly the AI Search Grader). It is a one-time diagnostic that sends your brand information to ChatGPT, Perplexity, and Gemini, running dozens of test queries. It scores you out of 100 across dimensions like sentiment, presence quality, brand recognition, share of voice, and market position. It requires no account, finishes in a few minutes, and produces a written interpretation and exportable report. As a way to find out where you stand before spending anything, it is one of the best free tools in the category.
Paid Product and CRM Integration
The paid HubSpot AEO product moves from one-time diagnosis to continuous tracking across ChatGPT, Perplexity, and Gemini, with prompt-level visibility, citation analysis, and competitive share of voice. Its real differentiator is CRM integration: it uses your HubSpot data to suggest personalized prompts and connect AI visibility insights directly to the content tools you already use. At $50/mo standalone (or $45 annually), and free inside Marketing Hub Professional and Enterprise, it is close to a default choice for existing HubSpot customers.
Coverage Tradeoff
The limitation to know is engine breadth. HubSpot AEO tracks three engines where specialist trackers cover ten or more, so Claude, Grok, Copilot, and Google AI Overviews are out of scope. For a HubSpot-native team whose buyers concentrate on ChatGPT, Perplexity, and Gemini, that is often an acceptable trade for the integration depth. For teams serving diverse markets or needing coverage of every assistant, a broader specialist is the better fit.
Free AEO Grader / free trial (25 prompts, no card) / $50/mo ($45 annual) / included in Marketing Hub Pro and Enterprise
Profound
Best for EnterpriseBest for: Large enterprises with a dedicated data team
“Profound is the enterprise heavyweight of the category and its first unicorn, offering enterprise-scale monitoring, Prompt Volumes data, and the deepest AI-crawler and agent analytics available. It is built for organizations with the technical resources and budget to use it fully. For a Fortune 1000 brand with a data team that will act on the output, it is defensible; for a smaller team, it is likely overkill.”
Pros
- Deepest AI-crawler and agent analytics in the category, showing how individual bots crawl and cite your site
- Nine engines on Enterprise: ChatGPT, Perplexity, Google AI Mode, Gemini, Copilot, DeepSeek, Claude, Google AI Overviews, and Exa Search
- Strong enterprise validation: a $96M Series C at a $1B valuation in February 2026 and more than 700 enterprise customers including Target, Figma, and Ramp
Cons
- Expensive and oriented to enterprise budgets, with the genuinely useful toolset starting well above the entry tier
- Only a narrow free trial (ChatGPT only, 10 prompts run once) is self-serve; everything else is custom Enterprise pricing through sales
Enterprise Monitoring and Agent Analytics
Profound's signature strength is depth. Beyond tracking how AI answers mention and cite your brand, it analyzes how AI crawlers and agents interact with your site at the per-bot level. That is the closest thing the category has to server-log analytics for the agentic web. Combined with deep prompt-volume data, this gives large brands a granular view of both what AI says about them and how AI systems are reaching their content. That instrumentation is the core reason enterprises with data teams choose it.
Coverage and Scale
The Enterprise plan spans ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Claude, Google AI Overviews, and Exa Search, with daily tracking and custom prompt volumes. Profound Agents let teams build reusable workflows on top of the visibility data. The company raised a $96 million Series C at a $1 billion valuation in February 2026, led by Lightspeed Venture Partners, and says it serves more than 700 enterprises. The flip side is that there is no self-serve paid tier, so the realistic starting point is an enterprise contract.
Who It Is For
Profound is defensible specifically for large, enterprise brands with the budget and the in-house data and analytics capacity to act on what it surfaces. The value is in the depth, and depth is only worth paying for if a team is going to use it. For everyone else, a more focused or affordable tool will deliver a better outcome per dollar.
Free trial (ChatGPT only, 10 prompts) / Enterprise custom via sales
Profound profile on GEO CompassAthenaHQ
Runner UpBest for: Multi-engine tracking with competitive intelligence and narrative analysis
“AthenaHQ positions itself as an end-to-end platform for winning AI search, with broad engine coverage, strong competitor benchmarking, and an action-oriented optimization engine that drafts and prioritizes content work rather than leaving you with raw data. It is frequently cited for narrative and tone analysis, which appeals to PR and brand teams who care how they are characterized in AI answers, not just whether they appear. Its credit-based pricing suits some usage patterns and frustrates others.”
Pros
- One of the broadest engine sets in the category: ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral on the Starter plan
- Action-oriented optimization engine that drafts and prioritizes content work instead of stopping at measurement
- Transparent public pricing, including a free Essential tier with 300 credits a month across five engines, which is rare at this capability level
Cons
- Credit-based model (3,600 credits/mo on the $295 Starter plan) can be limiting for high-volume monitoring, with add-ons costing extra
- The jump from the free tier to $295/mo is steep, and Enterprise features such as the Athena Citation Engine are custom-priced
Multi-Engine Coverage and Optimization
AthenaHQ tracks brand visibility and citations across one of the widest engine sets in the category, including Google AI Mode and Grok alongside the usual ChatGPT, Perplexity, Gemini, Claude, and Copilot. What distinguishes it from a pure dashboard is the optimization engine, which drafts and prioritizes the content work needed to improve standing rather than leaving the team to interpret raw numbers. That action layer is the difference between knowing where you rank and having a queue of what to do about it.
Narrative and Competitive Analysis
AthenaHQ is frequently chosen by brand and PR teams for narrative and tone analysis, because it surfaces not only whether you appear in AI answers but how you are characterized relative to competitors. Strong competitor benchmarking rounds this out, making it useful for teams whose concern is share of voice and brand perception in generated answers. The official product emphasizes brand-voice enforcement and sentiment, so treat deeper tone-analysis claims as adjacent rather than a headline feature.
Pricing Model
Pricing is credit-based, where one credit equals one AI response. The free Essential tier includes 300 credits a month across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. Starter is $295/mo with 3,600 credits and 11+ engines. Enterprise is custom and adds the Athena Citation Engine and persona targeting. Map your realistic monthly prompt volume to the credit allowance before committing.
Essential free (300 credits/mo) / Starter $295/mo (3,600 credits) / Enterprise custom
AthenaHQ profile on GEO CompassPeec AI
Honorable MentionBest for: B2B SaaS marketing teams wanting clean, reliable visibility analytics
“Peec AI is a focused analytics platform popular with B2B SaaS marketing teams. It does the core job well: tracking brand mentions and visibility across the major engines, benchmarking competitors, and presenting it in a clean, usable dashboard with unlimited seats. Its limitation is that it leans toward monitoring and analytics rather than execution, so your team or agency has to do the optimization work.”
Pros
- Clean, reliable analytics with citation intelligence, share of voice, and competitor benchmarking in one dashboard
- Unlimited seats on every plan and daily tracking, which keeps team-wide access affordable
- Strong competitive benchmarking that suits marketing teams comparing themselves against named rivals
Cons
- Leans toward measurement rather than execution, so the optimization work falls to your team or agency
- Only three engines are included on each plan, with every extra model a paid add-on, and the official pricing page does not display figures
Analytics and Benchmarking
Peec AI focuses on doing the measurement job cleanly: tracking brand mentions and visibility across the major answer engines, surfacing citation intelligence and share of voice, and benchmarking against competitors. The result is a dashboard that B2B SaaS marketers find easy to use. Unlimited seats and daily tracking on every plan make it practical to give a whole team visibility. For a marketing team that already has the capacity to act, that reliable measurement is exactly the right scope.
Engine Coverage and the Execution Gap
Each plan includes three engines, with additional models such as Claude, Gemini, AI Mode, or DeepSeek available as paid add-ons priced by tier. The bigger consideration is that Peec measures and stops: it shows where you stand but leaves the optimization to you. That makes it a fine fit for teams with execution capacity in-house and a weaker one for teams that need an action layer.
Pricing Transparency
Peec AI's pricing is the least transparent in this comparison. The official page lists four tiers without figures, and third-party reviews report Starter at about EUR 85 a month for 50 prompts, Pro at EUR 205 for 150, and Advanced at EUR 425 for 350. The safe approach is to request current pricing directly and confirm seat, prompt, and engine allowances before committing.
Starter, Pro, Advanced, Enterprise; reported ~EUR 85/mo Starter (50 prompts), EUR 205 Pro, EUR 425 Advanced (indicative, verify directly)
Peec AI profile on GEO CompassScrunch
Honorable MentionBest for: Enterprises worried about how accurately AI represents them
“Scrunch AI takes a distinct angle: rather than focusing only on whether you appear, it focuses on how accurately and usefully AI systems understand and represent your brand, and on making brand information easier for AI agents to interpret correctly. Its Agent Experience Platform can generate an AI-friendly version of your site. It is enterprise-oriented and priced accordingly, with the highest entry point of the budget set.”
Pros
- Distinct focus on accuracy and representation, valuable where an AI confidently stating something wrong about your product is a real risk
- Enterprise-grade scope with buyer personas, page audits, citation tracking, and agent-traffic attribution
- Broad engine coverage including ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews, and Meta
Cons
- Highest entry price of the budget tier at $250 to $300/mo, with no cheap option
- Prompts are split into custom and industry buckets, so effective unique-query coverage is lower than the headline numbers suggest
Accuracy and Representation
Where most tools ask whether you appear, Scrunch AI asks whether AI systems understand and represent your brand correctly. That makes it valuable for enterprises where an AI confidently stating something false about a product is a tangible risk, not a curiosity. The platform tracks how your brand is cited and characterized across engines and frames the problem as one of accuracy, not just presence. For regulated or reputation-sensitive enterprises, that emphasis is the differentiator.
Agent Experience Platform
Scrunch AI's broader goal is to make brand information easier for AI agents to interpret, reflected in its Agent Experience Platform, which can generate an AI-friendly version of your site so agents consume accurate, structured information. Combined with buyer personas, page audits, and agent-traffic attribution, this positions Scrunch as an active tool that shapes how AI sees you rather than only reporting on it. The scope is genuinely enterprise-grade.
Coverage and Pricing
The engine list is broad, spanning ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews, and Meta. Pricing starts at $250/mo billed annually, the highest entry point among the affordable tools here, and prompts are divided into custom and industry buckets, so the effective number of unique queries you can monitor is lower than the headline figures. Use the seven-day no-card trial to confirm the prompt math fits your needs.
7-day free trial / Starter $250/mo annual ($300 monthly) / Growth $417/mo annual / Enterprise custom
Scrunch profile on GEO CompassOtterly AI
Best ValueBest for: Solo marketers and small teams wanting an affordable way to start
“Otterly AI is one of the most accessible entry points into AI search visibility, offering straightforward monitoring with a clean interface at a low price. It suits solo marketers, small teams, and anyone who wants to start understanding whether they show up in AI answers without a significant commitment. It is monitoring-focused rather than a full optimization suite, which is exactly right for its audience.”
Pros
- Cheapest real entry point at $29/mo ($25 annually), with daily tracking even on the lowest tier
- Transparent price ladder, plus API, MCP access, agent analytics, and a Looker Studio connector from the $189/mo Standard tier up
- GEO URL audits on every plan (1,000 a month on Lite) add page-level feedback that most monitoring tools at this price lack
Cons
- Narrow base engine set: every tier includes four engines, while Google AI Mode, Gemini, and Claude are paid add-ons and Grok is not offered
- Monitoring-focused with no action layer, and the entry Lite tier's 15 prompts are very limiting
Affordable, Simple Monitoring
Otterly AI is built to get a small team measuring quickly: straightforward monitoring of brand mentions, citations, and competitor recommendations across AI search, presented in a clean interface at a low price. Daily tracking is included even on the cheapest tier, and the interface keeps it practical for a small team. For someone early in their AI visibility journey who wants a simple, affordable way to start, it is a sensible first step.
Coverage and Limits
Every tier includes ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Google AI Mode, Gemini, and Claude are paid add-ons priced by tier. Prompt allowances are tight at the bottom (15 on Lite, 100 on Standard, 400 on Premium), and each plan includes GEO URL audits (1,000, 5,000, and 10,000 a month). The low price is honest about what it buys: a narrow but functional monitoring surface with page-level checks.
Who It Is For
Otterly AI is monitoring-focused rather than an optimization suite, which is exactly right for its audience of solo marketers and small teams. If you want to know whether you appear in AI answers and start tracking it without a big commitment, it is one of the best on-ramps. Teams that need broad engine coverage or an action layer to drive optimization will outgrow it and should look higher up this list.
Free trial / Lite $29/mo ($25 annual) / Standard $189/mo ($160 annual) / Premium $489/mo ($422 annual) / Enterprise from $1,000/mo
Otterly profile on GEO CompassAhrefs Brand Radar
Honorable MentionBest for: Teams already paying for Ahrefs that want category-level AI benchmarking
“Ahrefs Brand Radar estimates AI presence from Ahrefs' own index of AI answers rather than only from a prompt set you write, which makes it strong for category benchmarking and competitor share of voice. It is the natural first step for existing Ahrefs customers. It is less suited to checking whether one specific page started getting cited by one specific engine.”
Pros
- Index modelling across a very large prompt corpus gives category-level share of voice that a hand-written prompt set cannot match
- Covers Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Claude on the higher tier
- Sits alongside the backlink and keyword data you already use, so AI visibility and SEO authority can be compared in one place
Cons
- Estimates presence from the vendor's own corpus, so it cannot observe engine-specific behaviour for your exact prompts
- Useful mainly if you already pay for Ahrefs; as a standalone purchase a dedicated tracker is usually better value
Index Modelling, Not Prompt Sampling
Most tools in this guide run a prompt set you define and count appearances. Brand Radar instead draws on Ahrefs' own corpus of AI answers, which it says spans more than 455 million prompts a month across platforms. That makes it strong for direction and for share-of-voice benchmarking at category level, and weaker for page-level diagnostics.
Pricing and Coverage
Custom prompt tracking starts at $50 a month, and the AI Visibility Index costs $199 a month for 83 daily prompts. Coverage spans Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Claude on the higher tier. Semrush, now owned by Adobe, offers a comparable index-plus-prompts approach inside its SEO plans.
Custom prompt tracking from $50/mo / AI Visibility Index $199/mo (on top of an Ahrefs plan)
Ahrefs Brand Radar profile on GEO CompassWhich One Should You Pick?
| Use Case | Our Recommendation |
|---|---|
| B2B SaaS or cybersecurity company that wants AI visibility to drive pipeline, not just a score | GrackerAI is purpose-built for this segment, generating the prompts technical buyers ask and pairing monitoring with content production and an enterprise distribution network to capture high-intent AI-referred traffic. Confirm fit with the free visibility score first. |
| You want to find out where you stand today without spending anything | HubSpot's free AEO Grader is one of the best no-cost diagnostics, scoring you across ChatGPT, Perplexity, and Gemini with no account required. GrackerAI's free visibility score is a good second read for B2B technology brands. |
| Large enterprise with a dedicated data team and a five-figure tooling budget | Profound offers the deepest agent and crawler analytics plus broad engine coverage, and is worth the cost only if a data team will act on the depth. Otherwise it is an expensive dashboard. |
| Brand or PR team that cares how AI characterizes them across many engines | AthenaHQ pairs broad multi-engine coverage with competitive benchmarking and narrative analysis, and Scrunch AI is the stronger pick if accuracy and misrepresentation are the primary risk. |
| Solo marketer or small team that just wants to start measuring affordably | Otterly AI at $29/mo is the cheapest real entry point with daily tracking, and HubSpot's free grader is a zero-cost way to begin before paying for anything. |
| You already pay for Ahrefs or Semrush | Turn on Ahrefs Brand Radar or Semrush's AI visibility reports before buying anything else. Move to a prompt-sampling tool only when you need to see what engines actually say about specific pages. |
How We Evaluated These Tools
Last verified: September 2026. For each tool we checked the vendor's own pricing page, product pages, and funding or acquisition announcements this month, and recorded plan names, prices, engine lists, and prompt or credit allowances as published. The comparison is informed by the author's experience building a GEO platform; it does not claim paid hands-on trials of every product. Tools were assessed on six dimensions that matter to a buyer:
- Goal fit: who the tool is genuinely built for (lead generation, brand monitoring, enterprise scale, or simple measurement), rather than a one-size-fits-all score.
- Measurement method: prompt sampling, referral analytics, crawler logs, or index modelling, because the method decides what the number means.
- Engine coverage: which AI engines each tool tracks (ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, AI Overviews, AI Mode, and others), and which are paid add-ons, since different engines cite very different sources.
- Measure versus act: whether the tool stops at measurement or includes an action layer that turns data into prioritized work.
- Pricing transparency: what is publicly verifiable versus quote-only, flagged where vendors do not publish figures.
- Honest weaknesses: the real limitation of each tool, stated plainly, including for the author's own product.
Run a free audit before you pay for anything. HubSpot's free AEO Grader, AthenaHQ's free Essential tier, and trials from GrackerAI, Profound, Scrunch, and Otterly will tell you more about fit for your category than any feature comparison.
Pricing changes frequently in this category. Profound publishes no paid tier prices, and Peec AI's official page does not display figures, so Peec numbers come from third-party reviews and are marked as indicative. Always confirm current pricing and engine coverage directly with the vendor before you buy.
Frequently Asked Questions
What is the difference between GEO, AEO, and AI search visibility?
Do I need an AI visibility tool, or can I just check ChatGPT myself?
Why do two AI visibility tools give me completely different scores?
What is the difference between a mention and a citation?
How much do AI visibility tools cost?
Which tool should I choose?
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