15 Best AI Visibility Tools in 2026 (Pricing, LLMs, Use Cases)

A year ago, "AI visibility tracking" wasn't a category anyone talked about. Today, at least 20 tools fight for your attention, each promising to tell you whether ChatGPT, Perplexity, Gemini and friends are recommending your business.

The problem? They all position themselves slightly differently, pricing ranges from free to $2,000+/month, and it's hard to tell what you actually need versus marketing fluff. I tested or reviewed every major option. Here are the 15 AI visibility tools that matter in 2026, what they do well, and who each one is built for.

If you just want the short answer: Mentionable for AI-agent workflows (€79/mo, 7 LLMs), Otterly for deep on-page audits ($29/mo entry), RankScale for tight budgets ($20/mo), AthenaHQ or Profound for enterprise procurement ($295+/mo).

Why AI Visibility Matters in 2026

The shift toward AI-powered search is no longer theoretical. Gartner projects that by 2026, traditional search volume will drop 25% as users shift to AI assistants (Gartner, 2024). ChatGPT alone processes over 400 million queries weekly (Similarweb, 2025), and Perplexity, Claude, and Gemini are growing fast behind it.

For brands, the stakes are concrete. Nearly 60% of Google searches now result in zero clicks (SparkToro/Datos, 2024), pushing more discovery into AI conversations where there are no blue links at all. Early research into generative engine optimization suggests that brands mentioned in AI responses see 2-3x higher click-through rates compared to traditional search snippets, because a recommendation from an AI assistant carries implicit trust.

If you're not tracking whether AI platforms mention you, you're ignoring a channel that is absorbing a growing share of how people find products and services. The tools below exist to close that gap.

Quick Comparison: 15 AI Visibility Tools in 2026

Prices verified May 2026. LLM coverage often varies by plan tier, so check the vendor's current pricing page before committing.

1. Mentionable

Mentionable is the GEO data layer for your AI. It tracks your brand across 7 LLMs (ChatGPT, Perplexity, Gemini, Grok, Copilot, Google AI Mode, Google AI Overview) every day and exposes the data (prompts, fan-out queries, citations, competitors, backlink opportunities) to any MCP-compatible agent. Plug it into Claude Desktop, Cursor or n8n and your AI assistant answers GEO questions with your real numbers, not generic keyword research.

This is the differentiator. Every other tool in this list is dashboard-only. Mentionable ships a public MCP server, available on every paid plan. Your briefs, audits and status checks come out with real GEO data underneath, without copy-pasting from a dashboard.

The workflow: enter your URL, Mentionable suggests 15 to 20 prompts based on your business, you pick the ones to track, monitoring runs automatically. Setup takes about ten minutes. All paid plans include competitor analysis, email alerts and MCP access. The Agency plan unlocks a one-shot GEO audit: a six-section client-ready white-label deliverable (competitor podium, prompt heatmap, citation sources, quality backlinks, AI diagnostic, content plan) for consultants and agencies who need a shareable artifact.

Pricing: Growth at €79/mo (40 prompts, 3 LLMs of your choice from 7, 2 projects), Pro at €149/mo (80 prompts, 4 LLMs, 4 projects), Agency at €299/month with 5,000 credits, unlimited projects, up to 7 LLMs, white-label and one-shot GEO audit. 4-day free trial on every plan.

Best for: Consultants, founders and in-house teams whose daily tool is already an AI agent (Claude, Cursor, n8n, or any MCP client) and who want it to work with real GEO data instead of inventing answers. Right starting point if you want to stop copy-pasting from dashboards.

Trade-off: Built around AI integration. If you prefer a traditional dashboard-only experience or you don't use any AI agent yet, you'll still get value from the dashboard, but you'll miss the main differentiator. The on-page GEO audit depth is also lighter than Otterly's 25+ factor analysis.

2. Otterly.ai

Otterly has been in the AI visibility space since 2023, which gives them a head start on feature depth. They offer granular analytics on AI citations, including sentiment analysis, context tracking, and detailed reporting on how you're mentioned.

Their dashboard is more feature-rich than simpler tools, which is either a plus or a minus depending on your tolerance for complexity. The analytics go deeper, with breakdowns by citation type, competitor comparisons, and trend analysis.

Pricing: Starts around $99/mo. Worth noting that Google Gemini isn't always included in base plans, so check the tier details.

Best for: Marketing teams at mid-size companies who want detailed analytics and don't mind investing time to learn the platform.

Trade-off: The learning curve is real. If you just want a quick answer on visibility, the feature density can feel overwhelming.

3. Profound

Profound positions itself as competitive intelligence for AI visibility. Rather than just tracking whether you're mentioned, it focuses on understanding the competitive landscape, who gets recommended for which queries, and how brand positioning shifts across AI platforms.

The platform offers market-level views, not just brand-level tracking. This is useful for companies that want to understand category dynamics, not just their own mentions.

Pricing: Starts around $100/mo for basic plans, with enterprise tiers going significantly higher.

Best for: Brands and agencies that need competitive intelligence at scale. Good for strategy teams making investment decisions based on AI visibility data.

Trade-off: Overkill for individual practitioners. The competitive intelligence angle is powerful but unnecessary if you just need to track your own visibility.

4. AthenaHQ

AthenaHQ operates in the enterprise tier, offering AI visibility monitoring as part of a broader brand intelligence platform. They combine AI mention tracking with reputation monitoring, competitive analysis, and strategic recommendations.

The platform is designed for larger organizations with complex monitoring needs, multiple brands, multiple markets, and teams that need different views of the same data.

Pricing: Custom pricing, typically enterprise-level. Expect to talk to a sales team.

Best for: Enterprise brands managing multiple product lines or markets who need a comprehensive brand intelligence solution that includes AI visibility as one component.

Trade-off: Not accessible for small businesses or solopreneurs. The pricing and complexity are calibrated for larger organizations.

5. Peec AI

Peec takes a different angle, focusing specifically on PR and communications use cases. If your primary concern is how AI describes your brand in terms of reputation and perception rather than commercial recommendations, Peec is purpose-built for that.

They offer monitoring with alerts when AI platforms mention your brand, with a focus on the qualitative aspects of what's being said rather than just whether you appear.

Pricing: Custom pricing, typically aimed at PR departments and communications agencies.

Best for: PR teams, communications professionals, and brands where reputation monitoring matters more than high-intent tracking.

Trade-off: Less focused on competitive commercial tracking. If your question is "does AI recommend me when someone wants to buy?", Peec's strengths lie elsewhere.

6. Scrunch AI

Scrunch AI focuses on helping content marketers understand and improve their AI visibility. The emphasis is on actionable recommendations, not just tracking. They analyze your content and suggest specific changes to improve how AI platforms perceive and reference your brand.

The tool bridges the gap between monitoring and optimization, which is useful if you want both "what's happening" and "what should I do about it."

Pricing: Starts around $49/mo for basic plans.

Best for: Content marketers and agencies that want optimization guidance alongside visibility tracking.

Trade-off: The optimization recommendations are helpful but can feel generic. More experienced marketers may want tracking data and prefer to develop their own strategy.

7. GenRank

GenRank targets SEO professionals who are expanding into generative engine optimization. The tool maps traditional SEO concepts (rankings, keywords, competitors) onto the AI visibility landscape, making the transition more intuitive for people already fluent in SEO terminology.

If you think in terms of "rankings" and "keywords," GenRank translates AI visibility into that familiar framework.

Pricing: Starts around $79/mo.

Best for: SEO professionals and agencies adding GEO capabilities to their existing workflow.

Trade-off: The SEO-centric framing can be limiting. AI visibility doesn't work exactly like traditional rankings, and mapping one onto the other can obscure important nuances.

8. Wix AI Visibility

Wix recently launched an AI visibility feature integrated directly into their website builder. It helps Wix users understand how their sites appear to AI search engines and whether AI platforms reference their content. The feature analyzes your Wix site and provides visibility insights without requiring a separate tool or subscription.

The significance here is scale. Wix powers millions of websites, and baking AI visibility tracking into the platform means a large number of site owners will get exposure to this data for the first time. For Wix users, the integration is seamless since there's nothing extra to install or configure.

Pricing: Included in existing Wix plans. No separate subscription required.

Best for: Wix users who want built-in AI visibility tracking without adding another tool to their stack. Particularly relevant for small business owners already on Wix who want to understand their AI presence without extra cost.

Trade-off: Limited to Wix sites only. If your site runs on WordPress, Webflow, or any other platform, this isn't an option. The analytics are also less detailed than dedicated AI visibility tools, since it's a feature within a broader platform rather than a specialized product.

9. Semrush AI Toolkit

If you're already paying for Semrush, adding their AI visibility features might make sense. They've added AI visibility tracking as an extension of their SEO platform. The advantage is that everything lives in one place, the same interface you already know, combining traditional SEO data with GEO data.

The disadvantage is the cost structure. You need an existing Semrush subscription, which already runs $100+ monthly for meaningful features. Then AI visibility is an add-on on top of that. For solopreneurs, you're looking at $200+ monthly just to get started.

Pricing: Requires an existing Semrush subscription ($100+/mo), plus the AI visibility add-on. Total cost typically $200+/mo.

Best for: Teams already deep in the Semrush ecosystem who want traditional SEO and AI visibility data in a single interface. The integration value is real if you're already using Semrush daily.

Trade-off: Expensive entry point if you don't already have Semrush. If you're starting fresh and trying to stay lean, the value proposition gets harder to justify compared to standalone AI visibility tools.

10. RankScale

RankScale is the cheapest serious AI visibility tracker on this list. The Essential plan starts at $20/month for 120 credits (about 480 AI responses), with all 8 LLMs included from the lowest tier: ChatGPT, Perplexity, Gemini, Grok, Copilot, Google AI Mode and Google AI Overview. Credit-based pricing means you pay for what you scan, which is great when usage is light and predictable, awkward when it spikes.

The product itself is leaner than the enterprise tools but covers the basics: daily tracking, competitor view, source citations and prompt grouping. The UI is functional, not slick.

Pricing: $20/mo (Essential, 120 credits), $60/mo (Growth, 400 credits), $180/mo (Pro, 1,500 credits).

Best for: Solopreneurs and freelancers on a tight budget who still want all 8 LLMs covered, including Google AI Mode and AI Overview.

Trade-off: Credit math. If you scan often or run audits, you can blow through credits faster than expected. The Mentionable Growth plan at €79/mo is flat-fee for 40 prompts and avoids that uncertainty.

11. LLMrefs

LLMrefs takes a different angle. Instead of tracking your brand across hand-picked prompts, it indexes 4.5 million ChatGPT prompts and lets you see how often your brand appears in real-world LLM queries. Their Pro plan covers 11 AI engines including ChatGPT, Claude, Gemini, Grok and DeepSeek, with 500 prompts and 50 keywords for $79/month.

The big-dataset approach is valuable for benchmarking and for spotting which prompts your brand actually shows up in (versus the prompts you guessed mattered). The downside is that prompt-by-prompt tracking is less actionable when you can't define your own prompts as easily.

Pricing: Free tier (ChatGPT prompts database access only). Pro at $79/mo. Custom for enterprise.

Best for: SEO professionals and analysts who want to query a massive ChatGPT prompts dataset and find unexpected appearances.

Trade-off: The 4.5M dataset is impressive, but if your business has niche prompts that aren't in the dataset, you lose the main advantage. Mentionable lets you define your own prompts directly.

12. HubSpot AI Search Grader

HubSpot's free AI Search Grader gives you a one-shot brand visibility score across ChatGPT, Perplexity and Gemini. No signup, no credit card. You enter your brand, it runs a fixed set of queries, you get a report with mentions, sentiment and competitor benchmarking. Total time: about 90 seconds.

The catch is in the name: it's a grader, not a tracker. You run it once, you get a snapshot. There's no daily monitoring, no alerts when your visibility drops, no historical view. For an actual tracking workflow, you need to pair it with a real AI visibility tool.

Pricing: 100% free, no credit card, no usage limit.

Best for: HubSpot users (or anyone) who wants a free first-look at their brand's AI presence before committing to a paid tracker.

Trade-off: One-shot scan. The data is too volatile to base decisions on a single check, and there's no historical baseline.

13. Mangools AI Search Grader

Mangools (the company behind KWFinder and SERPChecker) released their AI Search Grader in 2025. It covers 8 LLMs including ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, Mistral and AI Overview. The free tier checks 3 LLMs without account, 8 LLMs with a free account. Their paid product "AI Search Watcher" adds ongoing monitoring at $15.60/month (annual).

The Mangools product is well-designed and benefits from the company's existing SEO credibility. The free coverage of 8 LLMs is the most generous in the free tier.

Pricing: Free (3 to 8 LLMs depending on signup). AI Search Watcher at $15.60/mo annual (monitoring). Bundle with full Mangools SEO suite at $30.50/mo.

Best for: Existing Mangools customers and anyone wanting the broadest free LLM coverage for a one-shot check.

Trade-off: The free tier is a checker, not a tracker. The paid AI Search Watcher at $15.60/mo is cheap, but coverage and analytics are thinner than dedicated GEO platforms.

14. ZipTie

ZipTie focuses on AI Overviews specifically, plus ChatGPT and Perplexity. Their angle is multi-country coverage (track AI Overviews in different regions), credit-based pricing, and content optimization recommendations on top of tracking. Starts at $179/month for 1,000 AI search checks.

If your business is heavily Google-AI-Overview-dependent (typical for e-commerce and local SEO), ZipTie's specialization in Google AI Mode and AI Overview is a real advantage. They don't try to cover everything, they go deep on the Google side.

Pricing: $179/mo (Basic, 1,000 checks), $299/mo (Standard, 3,000 checks), $799/mo (Pro, 10,000 checks).

Best for: SEO teams whose primary AI visibility concern is Google AI Overview and AI Mode, especially in multi-country setups.

Trade-off: Limited LLM coverage compared to broader tools. If you also care about Claude, Grok or Copilot, you'll need a second platform.

15. Geneo

Geneo is a GEO platform with a credit-based model, real-time AI visibility monitoring, sentiment tracking and white-label features for agencies. Covers 4 LLMs (ChatGPT, Perplexity, Gemini, Claude). The free tier gives 50 trial credits, then you switch to volume-based pricing with no monthly fee structure.

The white-label angle and credit-only pricing make Geneo attractive for agencies serving many small clients, where flat per-seat pricing would inflate cost faster than scan needs.

Pricing: Free trial (50 credits). Credit-based scaling. Co-creator pricing for early agency adopters.

Best for: Agencies and consultants juggling multiple small client accounts who want white-label deliverables and unpredictable scan volume.

Trade-off: Only 4 LLMs covered. If your clients need Grok, Copilot or Google AI Mode tracking, you'll need to layer another tool on top.

AI visibility checker vs full tracker: which one do you need?

The terms get used interchangeably, but they describe two different products with different price points and use cases.

An AI visibility checker runs a one-shot scan: you enter your brand, the tool queries 3 to 8 LLMs once, and you get a snapshot. Best examples: HubSpot AI Search Grader (free), Mangools AI Search Grader (free or $15.60/mo), and Mentionable's free AI visibility checker. Use a checker when you want a fast diagnostic before deciding whether to invest in ongoing tracking.

An AI visibility tracker monitors continuously: it scans your prompts daily or weekly, alerts you when visibility shifts, builds a historical view and identifies competitors gaining ground. Examples: Mentionable, Otterly, Profound, AthenaHQ, RankScale. Use a tracker when you've decided AI visibility is a real channel for your business and you need real data to act on.

The shortcut: start with a free checker to get a baseline, then move to a paid tracker if the snapshot is bad enough to justify monitoring. Most businesses see enough variance day-to-day that one-shot scans give a misleading picture. The Mentionable checker is free and uses real data from our 7-LLM tracking pipeline, so the result is closer to what a tracker would show.

How to run an AI visibility audit (step by step)

An AI visibility audit is the structured version of running a checker, but for your full brand and category, not just a single keyword. Here's the workflow most teams follow:

Step 1: Define your prompts. List 15 to 30 questions a real prospect would ask an LLM in your category. Mix branded queries ("is Mentionable a good GEO tool?") with unbranded category queries ("best AI visibility tools for solopreneurs"). Tools that auto-generate prompts (Mentionable, Otterly) save hours here.

Step 2: Pick your LLMs. At a minimum cover ChatGPT, Perplexity and Gemini (the top 3 by traffic). Add Grok, Copilot and Claude if your audience is technical. Add Google AI Mode and AI Overview if you care about Google traffic. The 7-LLM standard is becoming the baseline.

Step 3: Run the queries and record results. Three columns matter: (a) does your brand appear, (b) in what context (recommendation, mention, comparison, citation), (c) which competitors appear alongside or instead of you. Track for at least 2 weeks to smooth out LLM variance.

Step 4: Score and prioritize. Calculate a visibility score (mentions / total queries) per LLM. Identify the worst-performing prompts and the strongest competitors taking your slot. The output should be a 1-page diagnostic with 3 to 5 concrete actions.

Step 5: Re-audit monthly. AI visibility shifts with each model update. Re-running the audit monthly catches drops early and validates that fixes worked.

Tools that automate this audit end-to-end: Mentionable's one-shot GEO audit on Agency plans (6-section white-label deliverable), Otterly's 25+ factor on-page audit, ZipTie's content recommendations. Doing it manually takes a full day of focused work. Doing it with a tool takes minutes.

How AI Visibility Tools Actually Work

Behind the scenes, these tools follow a similar core workflow. They query multiple LLMs with prompts relevant to your business, your industry, and your competitors. Then they analyze the responses to determine whether your brand appears, in what context, and how favorably.

The key metrics most tools track include: mention rate (how often your brand shows up), sentiment (positive, neutral, or negative framing), citation frequency (whether the AI links to your content), and competitive positioning (how you rank against competitors in AI responses).

Where tools differentiate is in the layers on top of that core. The best AI visibility tools automate prompt generation so you don't have to guess which queries matter. They track changes over time so you can spot trends. And they alert you when your visibility shifts significantly, whether that's a sudden drop or a competitor overtaking your position.

If you're coming from traditional SEO, think of it as rank tracking but for AI answers. The difference is that AI responses are longer, more nuanced, and don't follow a simple "position 1 through 10" hierarchy. Your brand might be mentioned first, mentioned alongside three competitors, or not mentioned at all, and each scenario requires a different response. This is part of what makes AI search engine optimization a distinct discipline from traditional SEO. To understand the full picture, it helps to know what is GEO (Generative Engine Optimization) and how it shapes the way these tools work.

How to Choose

The right tool depends on two things: your budget and your complexity needs.

If you're a solopreneur or consultant on a lean budget, start with something simple that covers all the major LLMs without a steep learning curve. You can always upgrade later once you understand what data actually matters to your business.

If you're a marketing team with dedicated resources, the additional depth of platforms like Otterly or Profound may justify their higher price and complexity.

If you're enterprise-level, you're probably evaluating AthenaHQ or similar platforms through a procurement process, and you don't need this roundup to find them.

If you're on a tight budget, RankScale offers a credit-based system starting at $20/mo. The per-credit pricing can get confusing, but it's one of the cheapest entry points for basic AI visibility tracking.

Here's a real example of why tool choice matters. A B2B SaaS company tracking 30 prompts across 7 LLMs discovered that ChatGPT recommended them in 40% of relevant queries, but Perplexity cited them in only 12%. By optimizing their technical documentation and adding structured data, they increased Perplexity citations to 35% within 8 weeks. They found this gap using a simple, affordable tracker. An enterprise tool would have told them the same thing at 5x the cost.

The most common mistake? Overpaying for features you won't use. AI visibility tracking is still a young category. Start simple, learn what matters, then scale your tooling to match. A tool you actually check every week beats an expensive platform you forget about after the onboarding call.

If you're also evaluating best AI SEO tools or best GEO tools (the broader stack: tracking + content optimization + schema + llms.txt), those categories overlap but serve different primary needs. And if your business depends on local customers, take a look at AI visibility for local businesses for specific considerations that apply to you. Not sure what "good" looks like? Check our AI visibility benchmarks for 2026 to see how your numbers compare by industry.

AI Visibility vs AI Observability

These two terms sound similar but refer to completely different things. The confusion comes up often enough that it's worth clearing up.

AI visibility tools (every tool in this article) track whether AI platforms recommend your brand to users. They answer the question: "When someone asks ChatGPT or Perplexity about my industry, does my business come up?" This is a marketing and SEO concern.

AI observability tools (Datadog, Arize, LangSmith, and similar platforms) monitor the internal performance of AI models. They track things like latency, error rates, token usage, model drift, and hallucination detection. This is an engineering concern.

The categories share the word "AI" and that's about it. If you're a marketer, founder, or SEO professional trying to get your brand recommended in AI answers, you want the AI visibility tools listed above. If you're a machine learning engineer debugging production ML pipelines, you want observability tools, and this article isn't for you.

The distinction matters because searching for "AI visibility" increasingly returns results for both categories mixed together. Knowing which one you need saves you from evaluating tools that solve a completely different problem.

Related articles

• How to track AI brand mentions -- a step-by-step guide to monitoring your AI presence manually and with tools.
• Best AI SEO Tools in 2026 -- how traditional SEO tools and AI-native tools compare
• AI Visibility Benchmarks 2026 -- what "good" looks like by industry
• Why Your Website Is Invisible to AI -- diagnosing and fixing the root causes
• What Is AI Visibility? -- a clear definition and why it matters