10 Best AI Brand Visibility Trackers (2026)

If you just want the short answer: Otterly.AI is the best budget entry ($29/mo), Ahrefs Brand Radar has the most transparent data collection, Semrush’s AI Visibility Toolkit is the pick if you already pay for Semrush, and Profound is the enterprise option. All prices in this guide were checked against official pricing pages in July 2026.

Before you trust any “best AI visibility tools” list, including this one, know this: six of the nine top-ranking pages we analyzed for that query are written by tool vendors, and every single one ranks its own product first. This category is a hall of mirrors.

We don’t sell an AI visibility tracker — we make a content tool, so we have no product in this list to promote. What we do have is a standing interest in how AI search actually works — and a published skeptical take on whether these trackers work at all. This roundup is the practical follow-up: if you’re going to buy one anyway, here’s how to pick without getting fooled by the marketing.

Key Takeaways

• The AI visibility SERP is dominated by vendors reviewing themselves; treat “best of” lists (including ours) with the conflict-of-interest question first
• How a tool samples AI answers matters more than its dashboard: user-defined prompt panels, auto-generated prompts, search-corpus-derived prompts, and training-data scoring produce very different data
• AI answers are non-deterministic — cited domains churn 40-60% per month — so single readings are noise; only averaged trends across repeated runs mean anything
• Entry pricing ranges from free to $800/mo; most teams should start under $100/mo and upgrade only after the data proves useful
• Trackers measure visibility; they don’t create it. The lever is still content that AI engines consider worth citing

Why AI visibility suddenly matters

The demand side is real. OpenAI reported 900 million weekly ChatGPT users in February 2026. Similarweb’s generative AI data shows AI referral visits to websites more than tripled between September 2024 and September 2025, and ChatGPT referrals now convert at 7.1% — just behind paid search at 7.8%. Adobe Analytics data reported by Digital Commerce 360 found AI-referred traffic to US retail sites up 138% year over year in May 2026, converting 54% better than non-AI traffic. That’s a full reversal from a year earlier, when AI visitors converted worse.

Meanwhile the classic channel is shrinking at the top: Pew Research found users clicked a traditional result on only 8% of searches that showed an AI summary versus 15% without one, and Ahrefs’ updated study measured a 58% lower click-through rate for the #1 result when an AI Overview is present.

So it’s rational to want a number for “how visible are we in AI answers?” The problem is that producing that number honestly is much harder than the dashboards imply. If GEO is a new term for you, start with our explainer on what GEO means and come back.

The four metrics every tracker reports

Whatever tool you pick, the dashboard boils down to four numbers:

• Mention rate — how often your brand is named in the sampled AI answers
• Citation rate — how often your site is linked as a source in those answers (a mention without a citation sends no traffic)
• Share of voice — your mentions relative to competitors, within the tool’s sampled prompt panel
• Sentiment — how the model describes you when it does mention you

Keep the italicized caveat in mind; it’s the crux of the reliability discussion below.

How these tools actually collect their data

This is the section missing from nearly every roundup, and it’s the most important purchase criterion. Every tracker answers the same question — “when people ask AI assistants about your category, do you show up?” — but they build the underlying data in one of four ways:

1. User-defined prompt panels. You write (or approve) a list of prompts; the tool runs them on a schedule and logs the answers. Otterly.AI, Semrush, SE Ranking, Profound, and Scrunch work this way. Strength: you know exactly what’s being measured. Weakness: your panel is a tiny, hand-picked sample of an effectively infinite prompt space — the “share of voice” it reports is share of your panel, not the market.

2. Auto-generated prompt sets. The tool synthesizes the questions it thinks your buyers ask. Knowatoa, LLMrefs, and Am I on AI do this. It saves setup time, but you’re trusting the vendor’s guess about buyer language. Knowatoa is refreshingly candid about this — their own site notes that nobody actually has the data on what buyers type into ChatGPT.

3. Search-corpus-derived prompts. Ahrefs Brand Radar models prompts from its ~110-billion-keyword database and Google’s People Also Ask corpus, expanded by semantic fan-out into 405M+ prompts, then polls the public web interfaces of each AI engine. It’s the closest thing to demand-grounded sampling in the category — their methodology write-up is the transparency benchmark competitors should be held to. Tradeoff: chatbot indexes refresh monthly, not daily, and Ahrefs itself calls the output “modeled visibility signals, not performance metrics.”

4. Training-data scoring. HubSpot’s free AEO Grader doesn’t watch live answers at all — it scores what models “know” about your brand from training data. It works as a one-time diagnostic; it was never designed for ongoing monitoring.

Two more collection details worth asking any vendor about: whether they poll the consumer web apps or the APIs (consumer apps add memory, personalization, and retrieval that APIs lack, so API-only data can diverge from what real users see), and how they handle geography (answers differ by location; a cloud server in Virginia doesn’t see what your buyer in Berlin sees).

How reliable are the numbers? Read this before buying

We wrote a whole piece on whether AI visibility trackers actually work, built around SparkToro’s study in which 600 volunteers ran 2,961 identical brand-recommendation queries — and ChatGPT and Google’s AI produced identical brand lists less than 1% of the time. Since then the evidence has gotten more nuanced, not more comforting:

• Profound’s own drift study (~80,000 prompts per platform) found the set of cited domains churns 40-60% within a single month depending on platform: 59.3% for Google AI Overviews, 54.1% for ChatGPT, 40.5% for Perplexity at the low end. A vendor telling you single data points are meaningless is worth listening to.
• Conductor’s consistency analysis (14,000 API calls across four LLMs) found the volatility is predictable by intent: comparison-style prompts showed about 63% brand overlap across repeated runs, while purchase-intent prompts fell to roughly 40%.
• In growth advisor Kevin Indig’s Q3 2025 analysis, only about 2.2% of ChatGPT citations persisted across repeated runs of the same prompt, which is why his methodology runs every prompt three to five times before recording anything.
• SEO strategists Eli Schwartz and Dan Taylor have both published versions of the “hidden denominator” critique: share-of-voice scores are computed over a vendor-defined prompt panel you can’t audit, then presented as if they measured the whole market.
• A Digiday investigation reported that when Amsive’s Lily Ray audited GEO vendors’ case studies, she found companies celebrated for “AI visibility gains” while their actual organic traffic declined — one by 66%. Roughly $227M of venture capital has flooded this category; that money needs dashboards to sell.

None of this means the tools are useless. It means the practitioner consensus on correct usage is non-negotiable: treat every metric as directional, average across many runs and weeks, keep the prompt panel and settings locked so week-over-week comparisons are honest, segment by platform and intent instead of trusting blended scores, and validate against referral traffic and revenue in your own analytics — the only numbers with no hidden denominator.

The 10 best AI brand visibility trackers in 2026

Prices below are from official pricing pages, checked July 2026. Every tool gets an honest limitation, because every tool has one.

1. Otterly.AI — best budget entry point

Otterly tracks your prompts daily across ChatGPT, Google AI Overviews, Perplexity, and Copilot (Claude, Gemini, and AI Mode as add-ons), across 50+ countries. Pricing: Lite $29/mo (15 prompts), Standard $189/mo (100 prompts), Premium $489/mo (400 prompts); ~15% off annually; free trial. Best for: small teams that want a real monitoring habit without a real budget. Honest limitation: 15 prompts is a very small panel — enough to watch a handful of money questions, not enough to claim you’re measuring category share of voice.

2. Ahrefs Brand Radar — best-documented methodology

Brand Radar sits on top of Ahrefs’ keyword database and covers Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, and Copilot. Its prompt corpus is derived from search demand rather than guesses, and it’s the only major vendor that publishes a serious methodology page, including its own limitations (English-first coverage, monthly chatbot refresh). Pricing: requires an Ahrefs plan (from $129/mo) plus the AI platform add-on — $199/mo per platform or $699/mo for all, per Ahrefs’ help docs. Best for: SEO teams already in Ahrefs who want demand-grounded AI data. Honest limitation: chatbot data refreshes monthly, which is too slow for live monitoring, and there’s no standalone purchase.

3. Semrush AI Visibility Toolkit — best for Semrush (now Adobe) shops

Semrush — an Adobe company since the acquisition closed in April 2026 — sells its AI Visibility Toolkit at $99/mo per domain: 25 custom prompts tracked daily across ChatGPT, Google AI Overviews/AI Mode, Gemini, and Perplexity, with location options. Enterprise buyers can look at Adobe Brand Visibility, the June 2026 launch that folds Semrush AI data into Adobe’s CX stack. Best for: teams already paying for Semrush who want AI tracking in the same login. Honest limitation: 25 prompts per domain is thin, extra prompts cost $60/mo, and you need a base Semrush subscription — the real monthly cost is well above the sticker.

4. Profound — best for enterprises

Profound is the venture-backed category leader, covering nine-plus engines (ChatGPT, Perplexity, AI Overviews, Gemini, Copilot, Meta AI, Grok, DeepSeek, Claude) with daily structured prompt runs, citation analysis, and sentiment. Pricing: Starter $99/mo billed annually (50 prompts), Growth $399/mo (100 prompts), Enterprise custom. Best for: enterprise brands that want the deepest feature set and can staff someone to interpret it. Honest limitation: Profound’s own research shows 40-60% monthly citation drift — read their volatility study before you treat any weekly chart as signal, and note the self-serve tiers are region- and language-limited.

5. Peec AI — best for agencies

Peec is built around multi-client workflows: per-project country settings, API/MCP/Looker integrations, and daily tracking across six engines (three included per tier, others as paid add-ons). Pricing: published tiers start around €89/mo per third-party roundups; Peec’s site quotes current numbers in-app, so confirm directly. Best for: agencies reporting AI visibility to multiple clients. Honest limitation: the sampling methodology is undocumented and pricing isn’t fully public — both are questions to ask on the demo call.

6. Scrunch — best persona simulation

Scrunch (now on scrunch.com) frames itself as an “agent experience platform”: it combines your custom prompts with curated industry prompt sets and runs them through buyer personas across seven engines, including Claude and Meta. Pricing: Starter $300/mo ($250/mo annual, 3 seats, 350 custom + 1,000 industry prompts, 3 personas); Growth $500/mo; 7-day trial. Best for: mid-market teams who think in buyer personas and want prompt coverage beyond what they’d write themselves. Honest limitation: persona simulation is still simulation — synthetic personas don’t have real accounts, real memory, or real stakes.

7. SE Ranking AI toolkit — best budget suite combo

SE Ranking bundles AI answer tracking into an affordable SEO suite: Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity, polled through the web UI “as a real user would see them” — a collection detail most vendors don’t disclose. Pricing: Core from €109/mo including 100 tracked prompts daily, with an AI add-on at €79/mo for more; 14-day trial and a free limited checker. Best for: small teams that want one tool for classic rank tracking and AI answers. Honest limitation: AI tracking covers only 7 markets and 5 languages so far — global brands will outgrow it.

8. Knowatoa — best for small businesses

Knowatoa auto-generates the questions your buyers likely ask and tracks appearance, citations, and sentiment weekly across up to 7 engines. Pricing: Starter $59/mo (3 engines), Growth $199/mo (all 7, API, Looker Studio); free 60-second audit with no card. Best for: small businesses that want a useful answer without designing a prompt panel. Honest limitation: the buyer questions are estimates — Knowatoa itself admits nobody has real data on what buyers type into ChatGPT — and weekly cadence means you’re always looking at last week.

9. HubSpot AEO Grader + HubSpot AEO — best free starting point

HubSpot’s free AEO Grader (formerly AI Search Grader) gives you a one-time, no-account diagnostic of how three models describe your brand. The paid follow-on, HubSpot AEO — built from HubSpot’s October 2025 acquisition of xfunnel.ai — tracks 25 prompts daily across ChatGPT, Gemini, and Perplexity for $50/mo ($45/mo annual), free with Marketing Hub Pro/Enterprise. Best for: finding out whether you have an AI visibility problem before you spend real money. Honest limitation: the Grader scores from training data rather than live answers, so treat it as a snapshot of model memory. Amplitude now ships a similar free checker with its analytics plans if you’re already there.

10. LLMrefs — best flat-price coverage

LLMrefs keeps it simple: one $79/mo plan, 500 auto-generated fan-out prompts, all 11 supported engines (including Meta AI and DeepSeek), 50+ countries, weekly refresh, API access, 7-day trial plus a limited free account. Best for: teams that want the widest engine coverage per dollar without per-engine math. Honest limitation: weekly-only refresh and auto-generated prompts — the same panel-you-didn’t-choose caveat as Knowatoa, at larger scale. If you want cheaper still, Rankscale starts at $20/mo on a credit system with 17+ engines, and ZipTie.dev ($69/mo) covers ChatGPT, AI Overviews, and Perplexity with the same real-user web-UI polling approach as SE Ranking — its FAQ even concedes that personalization means your results may differ from what any individual user sees, which is more honesty than most.

Comparison table

Tool	Engines	Entry price (Jul 2026)	Sampling approach	Free option
Otterly.AI	4 core + 3 add-on	$29/mo	Your prompts, daily	Trial
Ahrefs Brand Radar	7	$129/mo plan + $199/mo add-on	Search-corpus prompts, monthly refresh	No
Semrush AI Visibility Toolkit	4	$99/mo per domain	Your prompts, daily	—
Profound	9+	$99/mo	Your prompts (structured), daily	Trial (Growth)
Peec AI	6	~€89/mo (reported)	Your prompts, daily	Not stated
Scrunch	7	$300/mo	Custom + industry prompts, personas	7-day trial
SE Ranking + AI add-on	5	€109/mo	Your prompts via web UI, daily	14-day trial
Knowatoa	7	$59/mo	Auto-generated questions, weekly	Free audit
HubSpot AEO¹	3	$50/mo	Your prompts, daily	Free Grader + trial
LLMrefs	11	$79/mo flat	Auto fan-out prompts, weekly	Trial + free tier

¹ HubSpot’s free AEO Grader is a separate one-time diagnostic scored from training data, not part of the paid monitoring product.

How to choose: a decision framework

• $0 — just diagnosing. Run HubSpot’s AEO Grader and Knowatoa’s free audit, and manually ask ChatGPT and Perplexity your five most valuable buyer questions a few times each on different days. If your brand never appears, you’ve learned what you needed for free.
• Under $100/mo — first monitoring habit. Otterly Lite ($29), HubSpot AEO ($50), Knowatoa ($59), LLMrefs ($79), or Semrush’s toolkit ($99, if you’re already a customer). Pick 10-25 prompts that map to revenue and track the trend, not the daily wiggle.
• You already pay for an SEO suite. Use its AI layer first: Ahrefs Brand Radar, Semrush AI Visibility Toolkit, or SE Ranking’s add-on. The marginal cost beats a new vendor, and the data lives next to your keyword work — which is where the fixes happen anyway.
• Agency or mid-market. Peec AI or Scrunch for multi-client/persona workflows, Otterly Standard if budgets are tighter.
• Enterprise. Profound, Evertune (self-serve Pro from $800/mo as of July 2026), or Adobe Brand Visibility if you’re an Experience Cloud shop. At this tier, make the vendor defend their sampling methodology, run counts, and geo handling in writing before you sign.

Whatever tier you pick: lock the configuration, insist on averaged multi-run data, and judge the tool after 8-12 weeks against your own analytics — not against its own score.

What trackers can’t do

A tracker can tell you that Perplexity cites your competitor’s comparison page and not yours. It cannot write the page that wins that citation. Measurement and improvement are different jobs, and the improvement job looks a lot like disciplined SEO: publishing well-structured, source-worthy content on the questions your buyers ask, and keeping your site technically crawlable — the fundamentals we cover in how to use AI for SEO.

Where we fit (disclosure): this content side is where we have a horse in the race. Hypertxt generates research-backed, citation-ready SEO/GEO article drafts from your brand knowledge and Search Console opportunities. If your tracker shows a visibility gap, drafts are the tool for closing it — and if you’re evaluating the research side of that workflow, our roundup of AI keyword research tools pairs well with this one. Measure with a tracker; move the number with content.

Frequently asked questions

What is an AI brand visibility tracker?

An AI brand visibility tracker is software that repeatedly asks AI assistants — ChatGPT, Perplexity, Google’s AI Overviews, and others — questions relevant to your market and records whether your brand is mentioned, cited as a source, and described accurately. Most report four core metrics: mention rate, citation rate, share of voice, and sentiment.

What is the best AI brand visibility tracker in 2026?

There is no single best tracker — it depends on budget and how seriously you treat the methodology. Otterly.AI ($29/mo) is the strongest budget entry, Ahrefs Brand Radar has the best-documented data collection in the category, Semrush’s AI Visibility Toolkit fits teams already on Semrush, and Profound is the enterprise pick. Anyone who claims one universal winner is usually selling that winner.

How much do AI visibility tracking tools cost?

As of July 2026, entry pricing runs from free (HubSpot’s AEO Grader, Amplitude’s built-in checker) through $29-99/month for self-serve tools (Otterly.AI, HubSpot AEO, LLMrefs, Knowatoa, Semrush AI Visibility Toolkit, Profound Starter) up to $300-800/month for mid-market platforms (Scrunch, Evertune) and custom enterprise contracts.

Which AI platforms should I track?

Start with the three that drive most measurable AI referrals: ChatGPT, Google AI Overviews/AI Mode, and Perplexity. Add Gemini, Claude, and Copilot once you know your buyers use them. More engines means more cost — and blending platforms into one score hides more than it reveals, so segment results per platform.

What is the best free way to check my AI visibility?

Run HubSpot’s free AEO Grader for a one-time diagnostic, try Knowatoa’s free 60-second audit, and manually ask ChatGPT and Perplexity your five most valuable buyer questions on different days. Amplitude also includes a free AI visibility checker with its analytics plans. If your brand never appears anywhere, you have your answer without spending a dollar.

How is an AI visibility tracker different from a traditional rank tracker?

A rank tracker measures a stable, inspectable list of keywords against a mostly deterministic results page. AI visibility trackers sample a hidden, effectively infinite space of prompts against non-deterministic answer engines — the same prompt can name your brand in one run and omit it in the next. That is why reputable tools report averaged trends across many runs rather than single-shot rankings.

How often should I check AI visibility?

Weekly or monthly reviews of the trend line beat daily dashboard-watching. Cited-domain sets in AI answers churn 40-60% per month even when nothing about your brand changes, so day-to-day movement is mostly noise. Watch direction over 4-12 week windows and validate against referral traffic and conversions in your analytics.

Do AI visibility tools improve my visibility automatically?

No. Trackers measure how often AI assistants mention or cite you — they don’t change it. Improving the number requires publishing content AI engines consider worth citing and fixing crawlability, which is a content and SEO job, not a dashboard setting. Some tools bolt on optimization suggestions, but the work still happens on your site.

The bottom line

Buy the cheapest tool that covers the engines your buyers actually use, lock your prompt panel, and commit to reading trends instead of snapshots. Be exactly as skeptical of the dashboards as the evidence warrants — start with our piece on whether these tools work at all if you haven’t — and remember that every hour spent staring at a volatility chart is an hour not spent creating the content that AI engines cite in the first place.