AI visibility tools 2026: 50+ vendors compared

AI search visibility tools: a category that did not exist 18 months ago

AI visibility tools went from a handful of side projects to a funded, consolidating software category in roughly twelve months. Pure-play vendors have raised more than $500M in disclosed venture capital, the category produced its first billion-dollar company in February 2026, and two acquisitions have already set price anchors for everyone else.

The demand driver is straightforward. Buyers increasingly ask an assistant for a shortlist before they ever open a search results page, using AI search engines like ChatGPT and Perplexity the way they used to use Google, and brands discovered they had no instrumentation for that surface. No rank tracker covered it. No analytics tool attributed it. An entire measurement layer was missing, and roughly fifty vendors rushed to build it.

Gartner published its inaugural Market Guide for Answer Engine Visibility Tools in March 2026, which is the clearest possible signal that procurement teams now treat this as a budget line rather than an experiment.

Who raised what, and who already sold

Profound is the capital leader at $155M across four rounds in about eighteen months, reaching a $1B valuation in February 2026. Founded in August 2024 in New York by James Cadwallader and Dylan Babbs, it moved from a $3.5M seed to a $96M Series C led by Lightspeed, with Kleiner Perkins, Sequoia and NVIDIA's NVentures on the cap table along the way.

Peec AI is the fastest revenue story. Founded in Berlin in January 2025 out of Antler, it raised a seed led by 20VC and a $21M Series A led by Singular in November 2025, then reported crossing $10M ARR roughly sixteen months after launch.

Consolidation is already underway

Two deals define the market's exit math. Adobe acquired Semrush for $1.9B in cash, announced November 2025 at a 77.5% premium and closed 28 April 2026. Sitecore acquired Scrunch AI for a reported ~$225M on 3 June 2026, the first sizeable acquisition of an AEO-native startup. Those two transactions tell every remaining founder what the ceiling and the floor look like.

AI brand visibility tools by segment: seven categories, not one market

Treating these fifty vendors as one competitive set is the most common buying mistake. They solve different problems for different budgets, and half of them will never compete with the other half. The pure-play AI brand visibility tools in Segment A exist to answer one narrow question well; the incumbent suites in Segment B answer it as a side feature.

Two vendors appear twice. Profound and ThriveStack citedby both run prompt-side monitoring and server-side log analysis, which is the combination the rest of the market is converging toward.

Plotting the field

Scoring the segments against each other produces a recognisable shape. Vision here means data-source defensibility, the strength of the action layer, and roadmap breadth. Execution means funding, customer count, engine coverage and enterprise readiness. Profound occupies the leader position on both axes. The incumbent suites cluster as challengers, strong on execution and narrower on vision, because AI visibility is a module for them rather than a thesis. The lower-right visionaries have interesting data or agentic bets and not yet the customers to prove them.

Prompt, answer, share of voice: what the numbers actually mean

Vendors in this category use the same five or six words to mean different things, which is the fastest way to misread a pricing page or a competitor's claim. These are the definitions this report uses throughout, and the ones worth confirming before you sign anything.

AI visibility tracking tools: what they actually do differently

Engine coverage is nearly commoditised. Methodology is not. Almost every vendor now claims ChatGPT, Perplexity, Gemini and Google AI Overviews. Comparing AI visibility tracking tools on engine count alone misses the point: the real differences sit in where the data comes from and whether the tool tells you what to do next.

Plotting fifty vendors against twelve capabilities makes the shape obvious. The left-hand columns are almost solid and the right-hand columns are almost empty. Citation tracking and competitor benchmarking are universal. Crawl-type separation, published run counts and revenue attribution are close to absent across the field, which is precisely why they command a premium.

What each capability actually measures

Numbered to match the icon above each column in the heatmap; hover any number for the same one-line definition.

The leaders in detail

Vendor	Engines	Data source	Crawler logs	Action layer
Profound	10+	API plus real user query data	Yes	Agentic workflows
ThriveStack citedby	10	Server logs plus prompt probe results	Yes, split by crawl type	Copy-paste schema fixes, Content recommendations & creation agents
Peec AI	3 standard, more on enterprise	API and hybrid	Limited	Recommendations
AthenaHQ	8 on all plans	High-volume API probing	No	Prescriptive content
Evertune	9	Consumer panel plus LLM	No	Paid Visibility Boost
Scrunch AI (Sitecore)	7	Browser automation and APIs	Yes	Agent Experience Platform
Similarweb	6	Clickstream panel	Referral traffic	No
Ahrefs Brand Radar	7	Search-seeded prompts	Partial	Within suite
Semrush AI Toolkit	4	AI conversation analysis	Crawl audit	Within suite
BrightEdge	5	Referral parsing	Generative Parser	Autopilot content
Bluefish AI	5 incl. Amazon Rufus	Millions of prompts daily	Yes	Brand Vault

The capability nobody has

No vendor has a Search Console for AI. OpenAI does not expose real user prompts, so every "prompt volume" number in this market is estimated, panel-derived, or search-seeded. Query fan-out, where a model silently decomposes one question into several sub-queries, is invisible to all of them.

The most useful differentiator is log analysis that separates training crawls from retrieval crawls from live fetch and grounding requests. Those three behaviours mean completely different things about your visibility, and most tools collapse them into a single bot-traffic number.

AI visibility tools pricing: from $29 to $5,000 a month

Published entry prices span roughly $19 to $499 a month, while enterprise contracts run $2,000 to $5,000 and above. Most enterprise pricing is sales-gated, which is itself the loudest recurring buyer complaint in the category.

Vendor	Entry	Mid tier	Enterprise	Model
ThriveStack citedby	$35/mo	~$199/mo	Volume and value-based on customer ARR	Tiered plus enterprise
Otterly.AI	$29 (15 prompts)	$189 (100)	$489 (400)	Per-prompt
Peec AI	$95 (50 prompts)	Pro 150 / Advanced 350	Custom	Per-prompt
Profound	$99 (ChatGPT only, 50 prompts)	$399 Growth / $499 Lite	~$2,000–$5,000+	Tiered plus enterprise
Semrush AI Toolkit	$99 add-on	—	Enterprise AIO custom	Bundled
Ahrefs Brand Radar	Included at $129	—	—	Bundled
Scrunch AI	$250 (125 prompts)	—	Custom	Per-prompt
seoClarity ArcAI	~$2,500	—	Custom	Enterprise
Evertune, BrandLight, Bluefish, Adobe, Conductor, Goodie	Demo and sales contact only			Sales-gated

Price per prompt is a trap

Normalised, Otterly's Standard tier works out near $1.89 per tracked prompt per month, Peec's Starter near $1.90, and Profound's Growth tier near $4. Those numbers look comparable and are not. A "prompt" at one vendor may be run once a week; at another it may be run sixty times to build a distribution. You are buying statistical confidence, not prompt count, and almost nobody discloses run frequency on the pricing page.

The measurement most of these tools sell is not reproducible

The category's central product rests on unstable ground. A January 2026 SparkToro and Gumshoe study ran 12 prompts between 60 and 100 times each across November and December 2025, for 2,961 total runs with 600 volunteers. The odds of getting the same brand list twice came in under 1 in 100. The odds of the same list in the same order were closer to 1 in 1,000.

Rand Fishkin's conclusion was blunt: any tool that reports a ranking position in AI is, in his words, full of baloney.

Practitioners see it directly. Paul Dyer of the agency /prompt has noted that running the same prompts through three different tools returns three different answers. VML's Heather Physioc has flagged that most tools deliver point-in-time snapshots rather than trended measurement.

The finding that rescues the category

The same study found something more useful than the headline. While rank order is close to random, the consideration set is stable. Top brands appeared in 55% to 77% of responses regardless of phrasing. That is a real, measurable property.

It means the defensible metric is share of model, or visibility percentage across many runs, not position. Vendors reporting "you rank #3 in ChatGPT" are selling precision they cannot deliver. Vendors reporting "you appear in 62% of responses for this prompt set, plus or minus 6 points" are measuring something real.

Tiny traffic, outsized conversion, contested numbers

AI referral traffic is currently a rounding error that converts unusually well. WebFX measured 796% growth across 2.3 billion sessions from January 2024 to December 2025, while noting AI still accounted for only 0.18% of sessions in 2025. Similarweb reported 357% year-over-year growth to 1.1 billion referral visits in June 2025.

The conversion story is where vendors disagree loudly. Ahrefs published its own data showing AI visitors made up 0.5% of traffic but drove 12.1% of signups, a 23x advantage. Semrush measured 4.4x cross-industry. Visibility Labs, studying 94 ecommerce brands, found only 1.3x.

Take the spread as the finding. A 23x premium and a 1.3x premium cannot both describe your business, and the difference is mostly denominator choice and category mix.

The absolute numbers, not the multiples

Multipliers flatter whoever publishes them, because a low organic baseline inflates the ratio. The underlying conversion rates are more useful. Reported AI referral conversion runs from 1.81% to 14.2%, against an organic baseline of 1.39% to 2.8%. The B2B figures sit at the top of both ranges and the ecommerce figures at the bottom, which is most of the eight-fold gap right there.

Where the mentions actually come from

AirOps analysed 21,311 brand mentions across more than 500 queries and found roughly 85% originated on third-party pages rather than the brand's own domain, with about 48% from community platforms like Reddit and YouTube. Semrush's analysis of 150,000-plus citations found Reddit at 40.1%, Wikipedia at 26.3% and YouTube at 23.5%.

The implication is uncomfortable for anyone selling on-site optimisation. If most of your AI visibility is manufactured on sites you do not control, the lever is earned media and community presence, and the monitoring tool is a thermometer rather than a treatment.

Google AI Mode and the next 24 months for AI visibility tools

Basic monitoring commoditises, and the survivors move to action and attribution. Five things look reasonably clear from the current evidence.

• More acquisitions. Adobe and Sitecore set the template and the price anchor. Expect two to four more pure-plays absorbed by martech or DX incumbents within twelve months.
• Monitoring becomes a feature. For SMB and mid-market, AI visibility is already folding into SEO suites. Standalone value migrates to execution, attribution, and proprietary data.
• Methodology standardises. Share of model over large run counts replaces AI rank, under pressure from studies like SparkToro's.
• Visibility becomes shelf placement. OpenAI's Instant Checkout and the Agentic Commerce Protocol turn citation into transaction placement, which pulls retail-media logic into the category.
• Paid placement splits the market. Evertune Visibility Boost, ChatGPT Ads and Taboola's answer-engine network are creating the same organic-versus-paid split that SEO and SEM went through twenty years ago.
• Google AI Mode keeps expanding. Generative answers are folding directly into the main results page rather than staying a separate tab, which blurs the line between classic organic ranking and AI-answer visibility even further.

Best AI visibility tools by buyer type: how to buy without overpaying

Start with a free or near-free baseline before you sign anything annual. Most teams have never segmented AI referral traffic in GA4, where it typically hides inside direct or generic referral. That segmentation costs nothing and often changes the buying decision. There is no single answer to which are the best AI visibility tools; the right pick depends on which buyer persona below matches your team.

The sharper question is not which vendor, but which capabilities are worth a premium. Most of what appears on a demo is already table stakes. Engine coverage, share of voice, competitor benchmarking and cited-URL tracking are now universal, and paying extra for them is the most common way teams overspend. The capabilities still genuinely scarce in 2026 are proprietary data, published run counts, crawl-type separation and revenue attribution.

By buyer type

• Enterprise CMOs and SEO leads. If this is a board reporting line, pilot Profound for data depth and crawler analytics, or Evertune for panel-based rigour. If you already run Conductor, BrightEdge or Semrush, exhaust their module first.
• Mid-market and SaaS founders. AthenaHQ and Peec AI offer the strongest transparent-priced self-serve. Otterly at $29 and entry-tier plans like ThriveStack citedby's $35/mo tier are reasonable ways to get a baseline before committing budget.
• Agencies. Prioritise white-label and multi-client support. Rankability, Trakkr, LLM Pulse and ThriveStack citedby are built for it; most pure-plays are not.
• CROs and revenue leaders. If the actual mandate is closing the loop from AI mention to closed revenue, the field narrows fast: only 5 of the 50 vendors in this report score full on revenue attribution, BrightEdge, Similarweb, Adobe LLM Optimizer, HubSpot AEO and ThriveStack citedby. Everyone else stops at traffic or lead-level attribution, which is a materially different (and weaker) claim.

Three thresholds that should change your mind

• If a vendor demonstrates reproducible measurement with confidence intervals over 60 to 100 runs per prompt, weight it heavily above competitors that do not.
• If GA4 shows AI referral above 2% of sessions or 10% of conversions, escalate to a platform with real attribution.
• If your category's AI answers are dominated by Reddit, review sites and Wikipedia, which is the norm given the 85% third-party finding, spend on earned media before you spend on another dashboard.
• Do not drop traditional keyword research. Google AI Mode blends generative answers with classic organic results on the same page, so the two disciplines now overlap more than they compete.