Best AI visibility tools
Best AI Visibility Tools in 2026: 7 Platforms Compared by Use Case
The hard part is no longer finding a tool that can tell you whether ChatGPT mentioned your brand. It is choosing which kind of visibility system you need — and there is no honest “best tool for everyone”.
Disclosure, before the first table: one of these is ours
We build DataForAIVisibility, and we do not rank it best overall. Every other vendor's pricing and feature claim below was read from that vendor's own public pricing page on 2026-08-23, and three figures we had on file failed that check and were corrected. Pricing in this category moves fast. Verify on the vendor's site before you decide anything. We do not receive affiliate revenue from any of them, and we have not independently tested any competing product.
Quick picks by job
Match the tool to the job you actually have, not to the longest feature list.
Market-wide discovery
Ahrefs Brand Radar — the only one here built around a very large search-backed prompt index rather than prompts you type in.
Already living in Semrush
Semrush — AI visibility arrives as another layer of a suite you are already paying for.
Daily custom-prompt analytics
Peec AI — clean per-prompt, per-model tracking for brand and agency teams.
Lowest published entry price
Otterly — US$29/month gets you a real, dated monitoring habit. Check the engine add-ons.
Large prompt volume
Scrunch — hundreds of custom prompts plus an industry prompt set on the self-serve tiers.
Enterprise programmes
Profound — self-serve tiers plus an enterprise tier that extends to far more answer engines.
Gap → action → remeasurement
DataForAIVisibility — a small set of approved buyer questions, the evidence behind each loss, and a compatible follow-up measurement. Narrow on purpose.
Publicly listed plans, checked 2026-08-23
Entry plan, what you get on it, and the trade-off that comes with it. Columns are limited to what changes a decision.
| Tool | Entry plan and listed price | Prompt / data model | Engines on that plan | Main trade-off |
|---|---|---|---|---|
| Ahrefs Brand Radar | €179/mo select platforms; €654/mo all platforms | 473M+ monthly prompts indexed; 2,500 custom-prompt checks/mo on the all-platforms tier | AI Overviews & AI Mode, ChatGPT, Perplexity, Copilot, Gemini on all-platforms | Priced for breadth. Listed in euros, so budget in your own currency carefully. |
| Semrush | SEO + AI Search Starter US$165.17/mo billed annually | 50 prompts tracked daily (100 and 200 on higher tiers) | Google Search, ChatGPT, Perplexity, Gemini and others | AI visibility is bundled into a broader SEO suite rather than sold on its own. |
| Peec AI | Not published on the pricing page — request it | Starter 1 project, Pro 2, Advanced 3; daily tracking | ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity, Gemini | You have to ask for the number, which makes side-by-side budgeting harder. |
| Otterly | Lite US$29/mo (Standard US$189, Premium US$489) | 15 prompts on Lite, 100 and 400 above it; daily | ChatGPT, Google AI Overviews, Perplexity, Copilot. Gemini, Claude and AI Mode are paid add-ons. | The headline price does not include Gemini. Price the engine set you need. |
| Scrunch | Starter US$250/mo billed annually (US$300 month to month) | 350 custom prompts + 1,000 industry prompts; Growth doubles both | ChatGPT, Claude, Gemini, Perplexity, AI Mode, AI Overviews, Meta | Volume-first. You are buying coverage, and you still have to decide what matters. |
| Profound | Starter US$99/mo; Growth US$399/mo; Enterprise quoted | 50 prompts / 1,500 responses on Starter; 100 / 9,000 on Growth | ChatGPT only on Starter. Growth adds Perplexity and Google AI Overviews; Enterprise extends to more engines | Engine coverage is the pricing lever, so the cheap tier is a single-engine tier. |
| DataForAIVisibility (us) | Brand US$149/mo; Agency US$499/mo, up to 3 client brands | 10–20 approved buyer questions per brand, measured repeatedly | OpenAI, Gemini, Perplexity | Newest and narrowest. No dashboard, three engines, and per prompt we are expensive. |
Two things that table makes obvious. Prompt counts are not comparable across vendors — a “prompt” on one platform is a prompt × engine × day credit on another, so the same number can mean a tenfold difference in what you get. And engine coverage is frequently a pricing lever: two products here put major engines behind an add-on or a higher tier, which means the honest comparison is not the headline price but the price of the engine set your buyers actually use.
If your requirement is genuinely small — “tell me whether we appear in these ten prompts” — an SEO suite you already pay for may cover it. Ubersuggest, for example, publishes AI prompt tracking at 10 prompts per project monthly on its US$29 tier and 20 per project weekly on its top US$99 tier. That is a different product class from the seven above, and for some teams it is the right one.
How we evaluated these
Six criteria, each mapping to a decision you will actually have to make. The same six were applied to our own product.
1. Prompt discovery versus prompt monitoring
These are different jobs. Discovery asks what questions exist across the market and where you show up at scale. Monitoring asks what happened this week on a fixed set of buyer questions. Ahrefs is unusually strong on discovery because it indexes hundreds of millions of search-backed prompts; custom-prompt tools are better when the job is repeated measurement of a small set of high-stakes questions. A company can need both, and buying the wrong one first is the most common expensive mistake in this category.
2. Engine coverage
Count the engines, then keep going. Are the engines you care about on the plan you are buying, or behind an add-on? Can you compare results by engine instead of a blended figure? Is the model that answered recorded? Ten engines measured shallowly are not automatically better than three measured well.
3. Evidence depth
A useful number should have a receipt: answer-level history, prompt-level results, the cited URLs, competitor context, provider and model metadata, and repeated samples where it matters. If the tool stores only scores, improving a detection rule means paying to re-measure, and last quarter can never be re-examined.
4. Commercial relevance
“What is CRM?” is not equivalent to “what is the best CRM for a 20-person sales team?”. Tools differ enormously in how much they prioritise buyer-intent questions over raw prompt count, and prompt count is the metric most likely to be used to justify a higher tier.
5. Actionability
Most products can tell you where visibility is weak. The harder question is what you can reasonably influence. That requires separating owned-site evidence, third-party source opportunities, product facts and unverified assumptions — and being willing to say that a commercially important problem is not currently fixable.
6. Remeasurement
Subscription value comes from change over time. The strongest loop is measure → act → remeasure → compare compatible evidence, not score → wait a month → new score. Ask any vendor how a completed action is tied back to the original answer.
The seven, one at a time
Each entry states what it is best at and what it costs you to choose it.
1. Ahrefs Brand Radar — market-wide AI visibility discovery
The strongest choice here when the job is exploring AI visibility across a very large prompt universe rather than a list you typed yourself. Ahrefs publicly lists 473M+ total monthly prompts and two tiers: €179/month for selected platforms and €654/month for all platforms, with 2,500 custom-prompt checks a month included on the all-platforms tier. Best for large SEO teams, category research and agencies already living in Ahrefs. The trade-off: if you need 10–20 recurring buyer questions and a workflow to decide what to change, the macro index is more than the job requires.
2. Semrush — when Semrush is already your operating system
An obvious shortlist entry for teams already paying for the stack. AI visibility now arrives inside the SEO + AI Search plans — Starter at US$165.17/month billed annually with 50 prompts tracked daily, rising to 100 and 200 prompts on Pro+ and Advanced — covering Google Search, ChatGPT, Perplexity and Gemini among others. Keyword, domain, competitor and reporting infrastructure is already there, so AI visibility becomes another layer of a familiar system. The trade-off: the centre of gravity is broad measurement and research, so if your job is a small number of buyer questions with an evidence-to-action workflow, compare that workflow directly rather than choosing on suite breadth.
3. Peec AI — clean daily custom-prompt analytics
One of the clearest dedicated AI-search analytics products for brand and agency teams: Starter, Pro, Advanced and Enterprise tiers at one, two and three projects, daily tracking, across ChatGPT, AI Mode, AI Overviews, Copilot, Perplexity and Gemini. Peec makes the unit economics legible — prompt × model × frequency, which is far easier to reason about than vague “credits”. The trade-off we have to report honestly: its pricing page did not publish plan prices when we checked it on 2026-08-23, so we are not going to invent one. Ask them.
4. Otterly — the lowest published entry point
Lite at US$29/month with 15 prompts and daily tracking, then US$189 for 100 prompts and US$489 for 400. The base plans cover ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. The important detail is what is not on the base plan: Gemini, Claude and Google AI Mode are separately priced add-ons. If Gemini matters to your buyers — and in our own measurements Gemini frequently disagrees with OpenAI on exactly the questions that decide a shortlist — the real monthly price is not the headline one.
5. Scrunch — prompt volume on a self-serve plan
Starter at US$250/month billed annually (US$300 month to month) with 350 custom prompts and 1,000 industry prompts; Growth at US$417/month annually (US$500 month to month) with 700 custom and 2,500 industry prompts. Both cover ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews and Meta. Best when you genuinely want coverage across a category. The trade-off is the one volume always brings: a thousand prompts still has to be turned into one decision by somebody.
6. Profound — enterprise AI-search programmes
Self-serve Starter at US$99/month (50 prompts, 1,500 responses, ChatGPT only) and Growth at US$399/month (100 prompts, 9,000 responses, adding Perplexity and Google AI Overviews), with an enterprise tier quoted privately that extends to considerably more answer engines plus SSO and compliance features. Appropriate when you need a large programme and organisational adoption. The trade-off: a smaller team does not need enterprise breadth to answer its first twenty buyer questions, and the cheap tier is a single-engine tier.
7. DataForAIVisibility — commercial gap, action, proof
This is our product, so this section is deliberately specific about what it is not. It does not try to win on the largest prompt database. It runs a smaller number of approved buyer questions through one chain: measured answer → commercial gap → evidence → owned-site comparison → ProductTruth → actionability → action → remeasurement. It separates concepts most dashboards collapse — mention from recommendation, commercial importance from fixability, source relevance from source addressability, owned evidence from product truth, measured change from causality. Founding Brand Pilot US$149/month; Founding Agency Pilot US$499/month for up to three client brands, across OpenAI, Gemini and Perplexity.
Where we are the wrong choice today
Published first, because a comparison written by a vendor is only worth reading if it does this.
Us, honestly
Live capabilityEngines
Three — ChatGPT, Gemini, Perplexity. Not eight.
Interface
None. You receive a report file. There is no login, no dashboard and no scheduler.
Automation
A re-run happens because a person runs it.
White-label
Not available. Our methodology section stays on the report.
Integrations
No API, no MCP, no SSO, no connectors.
Customers
None yet. The only measured brand we can show you is our own founder-owned validation brand.
Where we think we are the right choice
- You care which buying questions you lose, not how many prompts mention you.
- You need the citation evidence behind an answer because you have to justify the next scope of work to a client.
- You want per-engine results and honest coverage handling instead of one blended score.
- You would trade a dashboard for a reviewed report while we are early.
Where we are the wrong choice today
- You want self-service and a dashboard. We do not have one. Several tools above do, at a lower price. Buy one of those.
- You want the most prompt volume per dollar. Not us. Per prompt we are expensive, on purpose.
- You want eight or more engines. We measure three.
- You want white-label, an API or SSO now. None of those exist here yet.
- You want a large market-wide discovery index. That is a different product and Ahrefs is better at it.
The buying test most comparisons skip
Run these five requests through every product you shortlist, ours included. If a vendor cannot answer them clearly, more dashboards will not fix the measurement problem underneath.
- Show me the raw answer behind this metric.
- Show me a case where my brand is mentioned but not recommended.
- Show me what happens when the evidence is insufficient.
- Show me how a completed action is tied back to the original answer.
- Show me how you compare before and after without claiming causality.
Our recommendation for most teams
Start small. Buying maximum scale before you know the job is usually the wrong order.
Track 10–20 buyer questions that sit close to money, measure them across the engines your buyers actually use, and find out what kind of visibility problem you have. Then decide whether you need a discovery database, daily cadence, more countries, more engines, more clients, API access or a deeper action workflow.
Common questions
What is the best AI visibility tool?
There is no single best tool for every company. Ahrefs Brand Radar is unusually strong for market-wide discovery, Semrush for teams already running their SEO programme there, Peec for daily custom-prompt analytics, Otterly for a low published entry price, Scrunch for prompt volume, Profound for enterprise programmes, and ours for turning a commercial gap into an action and a remeasurement.
How much do AI visibility tools cost?
Published entry pricing in 2026 runs from about US$29 a month for a small monitoring plan to several hundred a month for broader prompt, project or engine coverage, with enterprise tiers quoted privately. Compare the engines included on the plan you would actually buy, not the headline number.
Are AI visibility tools accurate?
They can accurately record the answers they observed. AI answers are stochastic, so accuracy depends on sampling, protocol, which model answered and whether the tool exposes the raw evidence. Treat any one answer as a sample rather than a permanent ranking.
Is AI visibility software different from SEO software?
Yes. SEO tools focus on rankings, keywords, links, crawling and traffic. AI visibility tools focus on generated answers, brand recommendations, citations and which competitor occupied the answer. The two data types complement each other.
Should I track hundreds of prompts?
Not automatically. Broad prompt discovery is valuable for market research. Recurring monitoring should prioritise the questions that map to a real buyer decision, because every tracked prompt is a recurring cost.
Sources
Official documentation and first-party measurement, in that order. Third-party facts carry the date we last read them from the vendor's own page — verify before you act on a number.
- Ahrefs — Brand Radar product page Tier pricing in EUR, 473M+ monthly prompts, custom-prompt checks, platform list.Checked 2026-08-23
- Semrush — pricing SEO + AI Search plan prices, daily prompt allowances, engines covered.Checked 2026-08-23
- Peec AI — pricing Plan names, projects per tier, daily tracking, engine list. No published price.Checked 2026-08-23
- Otterly — pricing Lite/Standard/Premium prices, prompt counts, base engines and paid engine add-ons.Checked 2026-08-23
- Scrunch — pricing Starter and Growth prices, custom and industry prompt counts, platform list.Checked 2026-08-23
- Profound — pricing Starter and Growth prices, prompt and response limits, engines per tier.Checked 2026-08-23
- Ubersuggest — pricing AI prompts per project and refresh frequency by tier.Checked 2026-08-23
- DataForAIVisibility — pricing Our own founding pilot plans and what is not included in them.
How we measure, and how this page is sourced
What we actually measure
Every result comes from the official OpenAI, Google Gemini
and Perplexity APIs with web search or grounding enabled. In our data those
surfaces are recorded as openai_api_web_search,
gemini_api_google_search and perplexity_api_sonar, and reports name
them explicitly.
That is not the same thing as a logged-in person using the ChatGPT app. These are official interfaces with web search on, but they are measurement surfaces rather than consumer sessions: no personalisation, no memory, no app-only features. Results can differ from what any individual user sees, and we do not claim the two are identical. We would rather put that on the pricing page than in the small print.
How this page is sourced
- Vendor pricing and features come from each vendor's own public pricing page, with the date we checked it. We do not copy figures out of other people's comparison posts.
- Google-specific claims come from Google Search Central, not from SEO commentary about Google.
- Research claims name the paper and separate what was demonstrated in a benchmark from what holds in the open web.
- First-hand numbers come from our own measurement runs. Where the brand measured is founder-owned, the page says so in the same sentence as the finding.
This page is maintained by the person who built the measurement engine. There is no editorial team and no external reviewer behind it, and we are not going to invent one for a byline. How the measurements are collected.