Best AI Visibility Tools 2026: 6 AEO Trackers Compared

The 6 Best AEO and AI Visibility Monitoring Tools in 2026

The best AI visibility tools in 2026 are Profound, the Semrush AI Visibility Toolkit, Ahrefs Brand Radar, Peec AI, Otterly.AI and Scrunch. Which one is right turns on a question most comparison pages skip: where does the tool's data actually come from? A licensed panel of real user prompts, a clickstream database, a scraped chat interface and a server crawler log are four different measurements, and they are why three trackers report three different numbers for the same brand in the same week. This guide compares all six on verified prices, collection method and real G2 scores — and normalises the billing unit, because the tool advertising "from $199" costs more than twice the one advertising "from $250" once you track five engines.

Reviewed by Alex Gomez, Sr. Analyst. Disclosure: this guide is published by Aissist.io. We build agentic AI for customer service and sales — we do not sell an AI visibility or AEO product, and we hold no affiliate or referral relationship with any company listed here. Prices were read from vendor pricing pages on 21 August 2026; G2 and Capterra ratings were read in August 2026.

TL;DR: Six AI visibility tools are worth paying for in 2026. They differ less in features than in where their data comes from, and that difference is what makes their numbers disagree.

• Best for real prompt-demand data: Profound — $99/mo billed yearly, ChatGPT only at that price
• Best inside an SEO suite you already run: Semrush AI Visibility Toolkit — $99/mo per domain, 25 prompts
• Best for non-web surfaces (YouTube, Reddit, TikTok): Ahrefs Brand Radar — from $199/mo for a single platform
• Best for agencies running many client brands: Peec AI — from $95/mo, 3 of 6 engines on brand plans
• Best budget entry point: Otterly.AI — $29/mo, 4 engines included
• Best when AI crawlers are misreading your site: Scrunch — $250/mo billed yearly

The biggest buying trap in this category is the headline engine count: four of these six advertise a list of AI engines that their cheapest paid plan does not include.

How we compared these AI visibility tools

We scored every tool on six criteria, 0–5 each, and required at least 18 of 30 to be listed. The rubric:

1. Data provenance and transparency — does the vendor publish how it collects data, and does the marketing page agree with the documentation?
2. Engine and market coverage at the price actually paid — not the coverage advertised on the homepage.
3. Cost transparency — a published number and a clear billing unit. "Quote only" scores low but is not disqualifying; silence is.
4. Actionability — does the tool tell you what to change, or only what happened?
5. Data portability — API, CSV export, Looker Studio or warehouse connectors, and at what tier.
6. Independent validation — G2 and Capterra score weighted by review volume, so a 4.8 from 18 reviewers does not outrank a 4.4 from 4,031. (On how much weight a G2 score deserves, the review corpus matters more than the number.)

Two things disqualified a tool: publishing no price and offering no self-serve trial, which removed Conductor and Evertune from the list; and fewer than ten independent reviews across G2 and Capterra, which removed Rankscale (2 reviews) and Evertune (0). We also assessed and did not include SE Ranking / SE Visible (strong prompts-per-dollar, but five engines and seven markets), AthenaHQ (4.9/5 on G2, but $2.2M raised and 12 employees as of August 2026), Writesonic (self-serve tiers track three engines, not the ten advertised), and Conductor (enterprise-grade, no published price anywhere).

Our bias, stated plainly: Aissist.io does not sell an AI visibility or AEO product, so we have no entry to rank first. What we do have is a limitation worth disclosing — this comparison is built on primary-source documentation review and vendor pricing pages read in August 2026, not on months of hands-on use of all six. Every price below carries the date we read it and the allowance it buys. Where a vendor's own pages contradict each other, we say so instead of picking the flattering number.

The 6 AI visibility tools at a glance

Prices read from vendor pricing pages in August 2026. "Engines at entry price" is what the cheapest published paid tier includes, not what the homepage advertises — the gap between those two numbers is the single most common error in this category.

Who each one is built for

1. Profound — best for knowing what people actually ask AI

Profound is an enterprise answer engine optimization platform that tracks how brands are mentioned, cited and described inside AI assistant answers, delivered as a cloud dashboard with API, MCP and warehouse connectors.

Data method: two pipelines. Scheduled prompts are captured daily from the browser rather than from model APIs, and separately, Prompt Volumes licenses conversations from what Profound describes as "multiple, double-opt-in consumer panels" covering "hundreds of millions of prompts per month from millions of active users," statistically weighted and refreshed weekly (vendor-published, Profound). No other tool in this comparison sells real user prompt demand as a separate product. Deploys onto: your existing stack. Connects to Google Search Console, GA, Adobe Analytics, Looker, Slack, and CDN logs; replaces nothing. Engines and markets: up to 9 on Enterprise — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek. Starter is ChatGPT only. Growth is three engines. What it acts on: measurement plus autonomous agents and a weekly prioritized work queue. Agent Analytics ingests CDN and server logs to show which AI crawlers reached which pages. Scale: "1B+ citations analyzed daily, 30B+ crawler visits analyzed daily, 10M+ prompts analyzed daily" (vendor-published, tryprofound.com/customers), and "more than 700 enterprise brands and large agencies, including over 10% of the Fortune 500" (vendor-published, Profound). Profound raised a $96M Series C at a $1B valuation in February 2026 (independently reported, Fortune). G2: 4.5 (1,128 reviews), read August 2026. Cost: billed per month per brand. Starter $99/mo billed yearly — 50 prompts, 1,500 responses/mo, 1 seat, ChatGPT only, no API. Growth $399/mo billed yearly — 100 prompts, 9,000 responses/mo, 3 seats, 3 engines, no API. Enterprise is quote-only. No month-to-month rate is published. (Read August 2026, tryprofound.com/pricing.)

Pros:

• Only tool here that sells real user prompt demand from licensed opt-in panels, so you can track prompts people actually type rather than prompts you invented.
• Widest engine coverage at the top tier, including Grok and DeepSeek, plus crawler-log analytics on the same platform.
• Deepest export surface in the category: GSC, GA, Adobe, Looker, Slack, CDN and CMS connectors, API and MCP.

Cons:

• The self-serve ladder is heavily gated — $99/mo buys one engine, and any API access requires quote-only Enterprise, so the published prices tell you little about real cost.
• Both self-serve prices are annual-commitment figures; no monthly rate is published.
• G2 reviewers repeatedly cite cost ("one of the most expensive tools on the market"), a steep learning curve on metric definitions, and difficulty filtering by country for regional campaigns.

Our take: Buy Profound if the question keeping you up is "what are buyers actually asking, and does the answer include us" — the panel data is the moat. Do not buy it if your budget stops at the published tiers, because everything interesting sits behind a sales conversation.

2. Semrush AI Visibility Toolkit — best for AEO inside the suite you already run

Semrush AI Visibility Toolkit is an answer engine optimization module inside the Semrush marketing platform that measures how often a brand is mentioned, cited and positively framed in AI answers, sold either standalone per domain or bundled into a Semrush subscription.

Data method: the most distinctive in this list. Semrush states it sources "billions of real prompts from AI search clickstream data and Google's keyword dataset for AI Overviews," holding a database of over 317 million prompts updated daily on a rolling basis (Semrush Knowledge Base). Custom prompt tracking runs daily, collected the same way Position Tracking monitors classic search. Deploys onto: either. The toolkit can be bought standalone with no core plan, or bundled from the $199/mo Starter tier upward. Engines and markets: the $99 pricing page names four — ChatGPT, "Google AI," Gemini and Perplexity — while the knowledge base describes the prompt database as covering ChatGPT, Gemini, AI Overviews and AI Mode, with Perplexity surfacing in Brand Performance reports that refresh weekly rather than daily. Ask Semrush to confirm the daily-tracked list in writing. Enterprise AIO extends to 9 platforms, adding Claude and Grok. No Claude or Copilot below Enterprise AIO. What it acts on: brand sentiment and narrative analysis, prompt research positioned as keyword research for AI, and an AI Search Site Audit that surfaces technical issues blocking AI crawlers. Scale: Semrush analyzed 126 million U.S. AI search prompts between January and April 2026, and found that 45% of marketing leaders cannot accurately measure brand visibility in AI answers, with only 9% using tools that track every relevant metric (vendor research, Semrush 2026 AI Visibility Index). G2: 4.4 (4,031 reviews); Capterra 4.6 (2,325), read August 2026 — by far the largest review base here. Cost: billed per month per domain. Standalone $99/mo per domain, billed annually — 25 tracked prompts, 1 domain for Brand Performance, 300 AI visibility reports/day. Extra prompts $60/mo per 50. Bundled: Starter $199/mo (50 prompts), Pro+ $299/mo (100), Advanced $549/mo (200). Enterprise AIO is custom. (Read August 2026, semrush.com/pricing/ai.)

Pros:

• The clickstream sourcing means the prompt database reflects queries real people typed, not questions reverse-engineered from a keyword tool.
• Sentiment and narrative analysis is bundled, not an upsell — Brand Performance reports share of voice, sentiment, and the narratives driving reputation.
• Scaling prompts is arithmetic, not a sales call: 225 tracked prompts costs $99 + (4 × $60) = $339/mo, with no per-engine surcharge on the engines it does cover.

Cons:

• The $99 tier is thin — 25 prompts and Brand Performance limited to a single domain.
• Claude and Copilot are absent below Enterprise AIO, which has no published floor. SE Ranking's own 2026 data puts Claude at 2.62% of AI referral traffic and growing 320% year over year, so that is a real gap.
• Add-on creep and pricing opacity dominate the G2 complaints, and Adobe completed its acquisition of Semrush in April 2026 (Adobe newsroom), which reset the entire plan lineup and adds roadmap uncertainty.

Our take: If your SEO program already lives in Semrush, the standalone toolkit is the lowest-friction way to add AEO reporting to the same dashboards. Skip it if Claude or Copilot visibility matters to you, because you cannot buy it at any published price.

3. Ahrefs Brand Radar — best for tracking YouTube and Reddit alongside AI answers

Ahrefs Brand Radar is an AI visibility and brand monitoring module inside the Ahrefs SEO platform that measures how often a brand is mentioned and cited across AI engines, sold as a paid add-on or as a standalone subscription with complimentary Ahrefs Free access.

Data method: prompts derived from Google People Also Ask data, then machine-executed against each chatbot's web interface. Ahrefs' documentation is explicit: it "extracts People Also Ask questions from keyword queries in its keyword index, then enters those questions into the web version of each AI chatbot using the default model" with no personalization or stored context (Ahrefs Help Center). Note that the Brand Radar marketing page describes the same mechanism as "search-backed prompts, not synthetic ones" — the two pages are hard to reconcile, and the database size is given as 271M+ on the pricing page and 476M+ on the product page. Deploys onto: your existing stack; buyable standalone without a core Ahrefs plan. Engines and markets: 7 named — AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude. Grok is listed but data collection is temporarily paused. Plus YouTube (including transcripts), TikTok and Reddit indexes, free while in beta. What it acts on: cited-pages and cited-domains reports for citation acquisition, competitor share of voice, and custom prompt tracking. Measurement-first; no content generation layer. Scale: across 75,000 brands, Ahrefs found YouTube mentions correlate ~0.737 with AI visibility — higher than backlinks or Domain Rating (Ahrefs study). Separately, Ahrefs reports AI search is 0.5% of its own traffic but 12.1% of signups, a 23x higher conversion rate than traditional organic (Ahrefs). G2: 4.5 (714 reviews); Capterra 4.7 (585), read August 2026. Cost: billed per month plus per check, where one prompt on one platform in one location equals one check. $199/mo buys a single platform and no custom-prompt checks; all platforms is $699/mo and includes 2,500 checks. Extra checks: $50/mo for 2,500, $100/mo for 7,000, $250/mo for 25,000, with overages at $0.020 to $0.010 per check. Claude consumes 8 checks per verification, not 1. (Read August 2026, ahrefs.com/pricing and ahrefs.com/brand-radar.)

Pros:

• Only tool here that indexes YouTube transcripts, TikTok and Reddit alongside AI answers — free while in beta on any paid plan — and it publishes its own correlation data justifying the priority.
• A public API and Looker Studio connector for AI visibility data, where Profound and Peec restrict API access to quote-only Enterprise.
• The check unit is genuinely transparent: you can calculate your monthly cost before you buy.

Cons:

• The marketing page and the help center describe the data method differently, and disagree on database size. Ask which is authoritative before you sign.
• Two of the advertised engines are degraded: Grok collection is paused, and a 100-prompt Claude program burns 800 checks per month instead of 100.
• The $199 headline buys one platform. Tracking five means the $699/mo all-platforms tier, which makes Brand Radar the most expensive tool in our worked example below. Reviewers on G2 and Capterra cite the credit structure causing unexpected charges, and annual pricing is not published — you must email support.

Our take: Buy Brand Radar if you accept the premise that YouTube and Reddit feed AI answers, because nothing else tracks them in the same tool. Skip it if Claude is a priority engine, since the 8-checks-per-verification maths makes it expensive to watch.

4. Peec AI — best for agencies running many client brands

Peec AI is an AI search analytics platform that measures brand visibility, answer position and sentiment inside AI assistant answers, delivered as a cloud dashboard that runs user-defined prompts daily with no site instrumentation.

Data method: scheduled prompts collected by UI scraping, deliberately not model APIs. Peec's documentation states it runs prompts daily and interacts as a real user would, because "API responses often differ from what users see in the actual interface" (Peec docs). Brand plans track daily; daily-or-weekly frequency selection is listed only on Enterprise. Deploys onto: your existing stack; nothing to install. Engines and markets: six defaults — ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot. Brand plans let you activate only three of the six; agency plans include all six. Claude, Grok, DeepSeek, Qwen and Mistral are paid extensions whose per-model fee is not published. Up to 11 models on Enterprise. What it acts on: measurement and source analysis, distinguishing sources the model used from sources it cited. No content generation or remediation layer. Scale: "Trusted by 3000+ brands and agencies" (vendor-published, peec.ai, read August 2026 — the November 2025 Series A post said 1,300+); that Series A disclosed $4M+ ARR in ten months and 300+ new customers per month (vendor-published, Peec AI). Raised $21M Series A led by Singular in November 2025 (independently reported, Tech.eu). G2: 4.8 (18 reviews) — the highest score here, on the smallest sample. Read August 2026. Cost: brand plans billed per month per workspace: Starter $95/mo (50 prompts), Pro $245/mo (150), Advanced $495/mo (350, adds Looker Studio), Enterprise quote-only. Agency plans are credit-based, where 1 prompt × 1 model × 1 day = 1 credit, and include all six default models plus unlimited users: Essential $245/mo (10,000 credits per month), Growth $495/mo (25,000/mo), Scale $795/mo (65,000/mo). (Read August 2026. Note: peec.ai/pricing renders prices client-side only; these figures come from Peec's own machine-readable ai-instructions page and its vendor-submitted G2 and Capterra listings, which agree. A widely cited third-party article publishes a conflicting euro ladder — confirm at signup.)

Pros:

• The clearest billing formula in the category — 1 prompt × 1 model × 1 day = 1 credit — which makes multi-client forecasting arithmetic rather than guesswork.
• Explicitly UI-scraped and says so in its own docs, so the measured answer is what a user would see, including the real citation set.
• Fastest time to value here: all six default engines are available on every agency plan, and reviewers report data flowing at signup with no setup.

Cons:

• Prices do not appear in the served HTML of the pricing page, which makes independent verification awkward and lets figures drift without a visible changelog.
• Brand plans cap you at three of six engines — you have to move to an agency plan to get all six — and Claude, Grok, DeepSeek, Qwen and Mistral carry unpublished add-on fees. This is the most common complaint in its G2 reviews.
• No API and no SSO below Enterprise, and no crawler or agent log analytics at all — so it cannot tell you whether the bots are reaching your pages.

Our take: Peec is the cleanest fit for an agency that bills per client and needs a credit model it can forecast. Skip it if you need API access, SSO, or crawler data without an enterprise contract.

5. Otterly.AI — best budget entry point with unlimited seats

Otterly.AI is an AI search monitoring and generative engine optimization platform that tracks brand mentions, link citations and sentiment across AI answer engines and audits pages for AI readiness, delivered as a cloud dashboard with a public API, MCP server and Looker Studio connector.

Data method: scheduled prompts run daily on every plan, with no user-adjustable frequency — "all prompts run on the same daily cadence" (Otterly help center) — while domain citation tracking runs weekly (Otterly features). Otterly does not publish whether collection is UI-scraped or API-based — the separate "Claude API" line on its pricing page implies at least some engines are API-sourced. Its Agent Analytics stream ingests real server-side AI crawler events and is metered in events per month. Deploys onto: your existing stack; API, MCP and Looker Studio from the $189/mo tier. Engines and markets: 7 across 65+ countries and languages — but only 4 are included in the base price (ChatGPT, Google AI Overviews, Perplexity, Copilot). Claude, Google AI Mode and Gemini are separately priced add-ons. What it acts on: content audits, a crawlability checker and page-level GEO recommendations, plus ChatGPT Ads and Shopping tracking and Google AI Overviews ad tracking — neither of which any other tool here offers. Scale: 40,000 marketing professionals using the product as of August 2026 (vendor-published, otterly.ai/about). Named a 2025 Gartner Cool Vendor for AI in Marketing and winner of the European Search Awards 2026 (independently awarded). G2: 4.7 (54 reviews), G2 High Performer for AEO tools. Read August 2026. Cost: billed per month per account, with unlimited team members on every tier. Lite $29/mo (15 prompts, 4 engines, no API), Standard $189/mo or $160/mo annual (100 prompts, unlimited workspaces, API + MCP), Premium $489/mo or $422/mo annual (400 prompts), Enterprise from $1,000/mo. Add-ons at Premium: Claude $439/mo, Google AI Mode $149/mo, Gemini $149/mo. (Read August 2026, otterly.ai/pricing.)

Pros:

• Cheapest credible entry point in the category at $29/mo, with unlimited team members on every tier where Profound charges per seat.
• API, MCP server and Looker Studio unlock at $189/mo, where Profound and Peec both gate API access behind quote-only Enterprise.
• Covers ground nobody else does: ChatGPT Ads and Shopping tracking, AI Overviews ad tracking, a crawlability checker, and Agent Analytics on real crawler events across 65+ markets.

Cons:

• The advertised engine list is not what you get. A Premium user who wants Claude, Gemini and AI Mode pays $489 + $439 + $149 + $149 = $1,226/mo, which erases the price advantage entirely.
• Prompt allowances are tight and overage is expensive: 15 prompts on Lite, and extra prompts cost $99/mo per 100 and are not available on Lite at all.
• No user-panel or clickstream data, and refresh is fixed at daily with no way to sample volatile queries more heavily. Reviewers also report refresh delays when monitoring many domains at once.

Our take: Otterly is the right first purchase for a small agency that needs multi-client coverage and API access without an enterprise contract. Skip it if Claude visibility is a priority, because the add-on pricing makes it the most expensive Claude in this list.

6. Scrunch — best when AI crawlers are misreading your site

Scrunch is an AI customer experience platform that monitors, diagnoses and fixes how a brand appears across AI answer engines, combining prompt monitoring, CDN and server log analytics, and an optional machine-readable parallel version of the site served to AI crawlers.

Data method: three streams, and it is the only tool here that runs all three. Simulated prompts scored by presence, position and sentiment; real AI crawler traffic ingested through named integrations with Akamai, Cloudflare, Vercel and WordPress, including crawl-health error diagnostics and LLM referral attribution; and AXP, which serves a lightweight machine-readable version of the site to AI agents. Deploys onto: your existing stack and CDN. AXP is the one intervention layer here that changes what agents receive, rather than only reporting on it. Engines and markets: 6, and all of them are included on every tier with no per-engine surcharge — ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and AI Overviews, and Meta (scrunch.com/pricing, read August 2026). No Grok, no DeepSeek. What it acts on: a page optimizer with page-to-prompt mapping, crawl-error remediation, and AXP delivery — the fullest measure-then-fix loop in this comparison. Scale: "500+ companies and agencies" (vendor-published, scrunch.com), and Scrunch reports that over 70% of Fortune 1000 websites are difficult for AI crawlers to interpret (vendor-published, PR Newswire, July 2025). Akamai reported a 364% increase in brand presence on non-branded prompts and a 218% increase in citations using AXP-enabled pages (case study, Sitecore). G2: 4.6 (73 reviews), read August 2026. Cost: billed per month per brand, 17% off annually. Starter $250/mo annual or $300/mo monthly — 3 seats, 350 custom prompts, 1,000 industry prompts, 3 personas, 5 page audits. Growth $417/mo annual or $500/mo monthly — 5 seats, 700 custom prompts, 2,500 industry prompts, 10 page audits. Enterprise quote-only. 7-day trial, no credit card. (Read August 2026, scrunch.com/pricing.)

Pros:

• Only tool here that ingests real AI crawler logs through named CDN integrations, so you can prove GPTBot reached a page rather than infer it from citations.
• Ships a remediation layer, not just a dashboard — you can fix the parsing problem and measure the citation lift in the same product.
• Best prompts-per-dollar in this list, with no per-engine surcharge: 700 custom prompts across all six engines at $417/mo, where Otterly charges separately for three of its seven and Ahrefs charges $699/mo for full platform access.

Cons:

• Acquired by Sitecore on June 3, 2026 — reportedly for $225M (Bloomberg) — so roadmap independence is now an open question, and it is a conflict if you are standardized on a rival DXP.
• Prompt allowances are modest for a true enterprise; meaningful multi-market or multi-brand coverage pushes you to quote-only Enterprise.
• No Grok and no DeepSeek, and six engines is a narrower list than Profound's nine or Ahrefs' seven.

Our take: Scrunch is the buy when you have already established that AI engines describe you wrongly and you suspect the cause is your own site rather than your content. Skip it if you need engine breadth or if Sitecore ownership creates a procurement conflict.

What AI visibility tools actually cost

Headline prices in this category are close to meaningless, because each vendor bills on a different unit. Here is one concrete scenario run through all six: one brand, 200 tracked prompts, 5 engines, daily refresh, 3 seats.

Read the table twice, because headline price and scenario price are almost unrelated. Scrunch has the highest entry price of the six and comes out cheapest in the scenario. Ahrefs advertises "from $199" and comes out most expensive, at more than double Scrunch, because $199 buys one platform rather than five. Otterly's $29 headline — the lowest in the category — lands mid-table once a fifth engine is added.

Four hidden costs to budget for. Per-engine surcharges — Otterly prices Claude, Gemini and AI Mode separately, Ahrefs gates full platform access at $699/mo and charges 8 checks per Claude verification, and Semrush puts Claude behind Enterprise AIO entirely. Annual-only pricing — Profound publishes no monthly rate, and Semrush's standalone toolkit price is annual-billed. API access as an enterprise trigger — Profound and Peec both put the API behind a quote, so any plan to pipe this data into a warehouse changes your tier. Seats — Otterly and Peec's agency plans give unlimited team members; Semrush's standalone toolkit includes one user and charges from $45/mo for each additional; Profound gives one seat at $99 and three at $399.

The free baseline: what you already have before you buy anything

Start with Google Search Console, because it reports something no third-party tool can. Google's Generative AI performance report, rolled out through 2026, shows how often your URLs appeared in AI Overviews and AI Mode — measured from Google's own serving logs rather than sampled from simulated prompts.

Its limits are equally important, and they are documented by Google itself. The report gives impressions only — no clicks, no CTR, no average position. It has no query dimension, so you cannot see which prompts triggered your appearance. It does not separate AI Overviews from AI Mode. And in the main Performance report, AI feature traffic stays folded into the ordinary "Web" search type. Asked whether AI Mode would be broken out, John Mueller of Google said in May 2025: "There's currently no separate break-out planned, and no API change involved." (Search Engine Land) On clicks, Google's June 2026 statement was that it will "introduce additional metrics over time."

Two more free signals are worth wiring up first. In GA4, a custom channel group with a regex on referral source captures traffic arriving from ChatGPT, Perplexity, Gemini and Copilot — that answers "is AI sending us anyone." And your server or CDN logs already record GPTBot, OAI-SearchBot, PerplexityBot and ClaudeBot, which answers "can the crawlers reach us at all." Establish those three baselines before spending $200 to $600 a month on a tool, because they tell you whether your problem is visibility, retrieval, or crawlability — and only the first of those is what an AI visibility tracker is for.

What is AEO, and how does it differ from GEO and SEO?

Answer engine optimization (AEO) is the practice of making a brand appear, accurately and favourably, inside the answers that AI assistants generate — rather than inside a ranked list of blue links. Generative engine optimization (GEO) describes the same work; the terms are used interchangeably by most vendors, though Google treats them as separate search corpora. Classic SEO is the substrate underneath both: pages still have to be crawlable, indexed and citable before a model can quote them.

The measurement problem is what makes this category exist. A search ranking is a single deterministic position. An AI answer is a probability distribution — ask the same question twice and the brands named can change. So every tool here samples: it runs a prompt set on a schedule and counts how often you appear. Share of voice is the resulting metric: the proportion of tracked answers in your category that mention your brand.

That sampling design is why three tools will report three different share-of-voice numbers for the same brand in the same week. The numbers differ because the prompt sets differ, the sample size per prompt differs, the engines differ, and the collection method differs — a model API and a logged-in chat interface do not return the same answer. Four collection methods are in play across these six tools:

• Licensed consumer panels (Profound's Prompt Volumes) — real prompts from opted-in users, the closest thing to true demand data.
• Clickstream databases (Semrush) — real prompts observed at scale, then re-run for tracking.
• UI scraping (Peec, Ahrefs, and Profound's prompt captures) — the vendor drives the chat interface as a user would, so retrieval and personalization layers are included.
• Crawler and referral logs (Scrunch, Otterly's Agent Analytics, Profound's Agent Analytics) — real server-side events, measuring access rather than mentions.

When you compare vendor numbers, compare methods first. A 60% share of voice on a prompt set nobody has ever typed is not a business result. The same discipline that governs reliable AI in production applies to measurement: a number without a stated provenance is not evidence. Deciding who owns that number internally, and what happens when it moves, is a separate problem — one we cover in AI visibility governance.

Two data points explain why the spend is defensible anyway. Ahrefs found AI search accounted for 0.5% of its traffic but 12.1% of its signups — a 23x higher conversion rate than traditional organic. Semrush's AI search traffic study put the average AI search visitor at 4.4x the value of the average traditional organic visitor (vendor research, published 2025, reported by MarTech). SE Ranking's analysis of 101,574 websites found AI platforms drove 0.32% of all website traffic in 2026, up 16x since 2024, with ChatGPT responsible for 74.78% of AI referrals (SE Ranking). Small share, disproportionate value, steep curve.

How to choose the right AI visibility tool

• If you have never measured AI visibility before, then start with Google Search Console, GA4 referral segmentation and your server logs, because they cost nothing and tell you whether your problem is visibility, retrieval or crawlability before you buy a tool for the first of the three.
• If your SEO program already runs in Semrush or Ahrefs, then price that vendor's AI module first, because the reporting lands in dashboards your team already reads — but check the coverage against the price, since Semrush's $99 tier tracks 25 prompts and Ahrefs' $199 tier tracks one platform.
• If you need to know what buyers actually ask AI assistants, then choose Profound, because it is the only tool here selling licensed real-user prompt demand rather than prompts you or a keyword tool invented.
• If you are an agency billing per client, then choose Peec AI or Otterly.AI, because Peec's credit formula forecasts cleanly across accounts and Otterly gives unlimited workspaces and seats from $189/mo.
• If Claude or Copilot visibility is a priority, then rule out Semrush's standard toolkit and price Otterly's add-on carefully, because Claude sits behind Enterprise AIO at Semrush, costs $439/mo on top at Otterly's Premium tier, and burns 8 checks per verification at Ahrefs.
• If AI answers describe your products incorrectly, then choose Scrunch, because crawler-log evidence plus machine-readable delivery addresses the cause rather than reporting the symptom.
• If you must pipe AI visibility data into a warehouse or BI tool, then choose Ahrefs or Otterly, because both expose an API below the enterprise tier while Profound and Peec do not.
• If procurement requires vendor independence, then discount Scrunch and Semrush, because Scrunch was acquired by Sitecore in June 2026 and Adobe completed its acquisition of Semrush in April 2026.

Key takeaways

Six AI visibility tools clear the bar in 2026, and they are separated by data provenance far more than by feature lists. Scrunch is the cheapest route to 200 prompts across five engines at $417/mo and the only tool that sees real crawler traffic; Semrush is a close second at $429/mo and the easiest to add to an existing SEO program; Profound is the only one selling real prompt demand; Ahrefs is the only one indexing YouTube and Reddit, and the most expensive at scale; Peec has the clearest billing formula; Otterly has the lowest entry price and unlimited seats. Before buying any of them, spend a week with Google Search Console, GA4 and your server logs — they are free, and they tell you which problem you actually have.

Frequently asked questions

What are the best AI visibility tools in 2026?

Profound, Semrush AI Visibility Toolkit, Ahrefs Brand Radar, Peec AI, Otterly.AI and Scrunch are the six that clear a rubric covering data provenance, engine coverage at the price paid, cost transparency, actionability, data portability and independent review volume. Each wins a different scenario; none wins all six criteria.

How much do AI visibility tools cost?

Published entry prices run from $29/mo (Otterly.AI Lite, 15 prompts, 4 engines) to $250/mo (Scrunch Starter, billed yearly). Realistic mid-market spend is $420 to $975/mo. For one brand tracking 200 prompts across five engines daily with three seats, Scrunch costs $417/mo, Semrush $429/mo, Otterly $638/mo, Peec $795/mo and Ahrefs $974/mo, while Profound requires an enterprise quote.

Do AI visibility tools use real user data or simulated prompts?

Both, depending on the vendor. Profound licenses prompts from opt-in consumer panels and Semrush sources a 317-million-prompt clickstream database, so their prompt sets reflect real demand. Peec, Ahrefs, Otterly and Scrunch primarily run scheduled prompts against AI engines and count the results. Ask any vendor for its collection method and sample size per prompt before comparing its numbers to another's.

Why do different AI visibility tools report different numbers for the same brand?

Because they measure different things. The prompt sets differ, the sample size per prompt differs, the engines covered differ, and a model API does not return the same answer as a logged-in chat interface. Share of voice is only comparable within a single tool over time, never across tools in the same week.

Can Google Search Console show AI Overviews or AI Mode data?

Partly. Google's Generative AI performance report shows impressions for AI Overviews and AI Mode by page, country and device. It reports no clicks, no CTR, no average position and no query dimension, and it does not separate AI Overviews from AI Mode. In the main Performance report, AI feature traffic remains inside the "Web" search type.

Is AEO the same as GEO?

Effectively yes. Answer engine optimization and generative engine optimization describe the same practice — earning accurate, favourable mentions inside AI-generated answers. Vendors use the terms interchangeably, though Google surfaces largely different pages for "AEO tools" and "GEO tools," so the two phrases behave as separate search markets.

Do I need an AEO tool if I already pay for Semrush or Ahrefs?

Usually not at first. Semrush bundles AI visibility from its $199/mo Starter tier and sells a standalone toolkit at $99/mo per domain for 25 prompts; Ahrefs sells Brand Radar from $199/mo for a single platform, or $699/mo for all of them. Buying a dedicated AEO platform makes sense when you need engines your suite does not cover, crawler-log evidence, or real prompt-demand data.

How do I track brand mentions in ChatGPT for free?

Three free methods get you most of the way. Segment ChatGPT referral traffic in GA4 with a custom channel group, check for OAI-SearchBot and GPTBot activity in your server or CDN logs, and query ChatGPT manually with a fixed prompt set on a fixed schedule and log the results. Paid tools automate the sampling and add competitor benchmarking, not a different underlying signal.

How many prompts should I track?

Enough to cover your category's real decision questions, typically 100 to 300 for a single brand in one market. Below roughly 50 prompts the sample is too small to distinguish a trend from model variance; above 300 the marginal prompt usually restates one you already track, while every vendor here bills by the prompt.

Which AI engines should I be tracking?

Start with ChatGPT, Google AI Overviews and Google AI Mode, which cover the large majority of AI referral traffic — SE Ranking's 2026 analysis put ChatGPT alone at 74.78% of AI referrals. Add Perplexity and Gemini next. Claude and Copilot are smaller but growing fastest, and are also the engines vendors most often charge extra for.

Changelog

• August 2026 — First published. Six tools reviewed; all pricing, engine coverage and G2 figures verified against vendor pricing pages and G2 product profiles in August 2026. Conductor and Evertune excluded for publishing no price and offering no self-serve trial; Rankscale excluded for fewer than ten independent reviews.