Tool profileEvertune
Samples each prompt 100 times, and sells ad placement inside AI answers
Evertune samples each prompt 100 times across 11 models, which treats model nondeterminism as a statistical problem rather than reading a single response. It also sells advertising inside AI answers, so one vendor both measures and sells the visibility it reports. Panel composition is not published and pricing is quote only.
Visit EvertuneIs Evertune worth it?
- What it is
- Samples each prompt 100 times, and sells ad placement inside AI answers
- Worth a look if
- You want an AI visibility number with sampling behind it, at 800 USD a month for Pro: each prompt sampled 100 times across 11 models.
- Skip it if
- You want measurement kept strictly separate from media sales, since the same vendor sells ad placement inside AI answers.
- Cost to start
- 800 USD a month for Pro. No. None published.
Evertune screenshots
Evertune at a glance
| Job category | AI Search and GEO |
|---|---|
| What it replaces | Single-sample AI visibility checks |
| Pricing model | Paid only |
| Starting price | 800 USD a month for Pro |
| Free tier | None published. |
| Getting started | Paid from day one |
| Built for | Teams that care whether a visibility number is statistically meaningful |
| Company | Not published |
| Last verified | August 2026 |
Evertune pricing and plans
Evertune does not publish pricing. 800 USD a month for Pro None published.
- Pro is published at 800 USD a month, which is the only public figure. Enterprise is quoted.
- The page positions the range as running from a first AI visibility audit through to enterprise-wide GEO and AI advertising, so the Pro tier is the entry point rather than the whole product.
No public pricing. Note that the product spans measurement and media buying, so a proposal may combine a platform fee with advertising spend.
Evertune features: what it does
- Samples each prompt 100 times across every model, which addresses nondeterminism rather than ignoring it
- Benchmarks across 11 AI models rather than reading a single engine
- EverPanel, a stated panel of over 150 million user prompts, grounds prompt selection in observed demand rather than guesswork
- Named enterprise references including Roku, WPP and Athenahealth suggest real adoption at scale
Evertune limitations
- Selling ad placement in AI answers while also measuring AI visibility puts the vendor on both sides of the metric it reports
- No pricing published, so affordability cannot be assessed without a sales conversation
- The four-part Explore, Measure, Act, Advertise structure is broad, and breadth in a young category usually means some parts are thinner than others
- Panel methodology is described but its composition and representativeness are not published, so the 150 million figure cannot be assessed
Who Evertune is for
| Your situation | What that means here |
|---|---|
| Analyst who cares about statistical rigour | Sampling each prompt 100 times per model addresses nondeterminism directly, where most competitors take a single reading. |
| Brand wanting demand-side data | A stated panel of over 150 million user prompts grounds prompt selection in observed demand rather than guesswork. |
| Buyer who wants measurement kept independent | The same vendor sells ad placement inside AI answers while reporting your visibility in them. |
| Small team or startup | No published pricing and no self-serve trial, and the product is aimed at brands and agencies. |
| Advertiser exploring paid AI placement | Few vendors offer organic measurement and paid placement together, which is convenient if you accept the conflict. |
| Team needing the widest engine coverage | Benchmarking across 11 models is the broadest coverage in this category. |
Evertune use cases for marketers
- AI search visibility benchmarking across 11 models, with each prompt sampled 100 times rather than once.
- Demand-side prompt research, using a stated panel of over 150 million user prompts to choose what to track.
Evertune FAQ
Why does sampling each prompt 100 times matter?
Because large language models are nondeterministic. Ask the same question twice and the answer, and the brands cited in it, can differ. Sampling once reports a coin flip; sampling repeatedly produces a distribution you can read a trend from.
Is it a problem that Evertune both measures visibility and sells ads?
It is a conflict worth naming rather than a disqualification. The company reporting your organic visibility also sells paid placement in the same surfaces, so a low organic score has commercial upside for the vendor.
How trustworthy is the 150 million prompt panel?
Unknown from outside. The figure is stated and the method described at a high level, but panel composition, recruitment and representativeness are not published. Ask how it is constructed and whether it covers your market.
Evertune sources and references
- Evertune states that it samples each prompt 100 times across every AI model to capture the full range of model behaviour, benchmarks brand visibility across 11 AI models, and grounds strategy in EverPanel, a proprietary panel of over 150 million user prompts. The product is structured as Explore, Measure, Act and Advertise, the last including ad placement in ChatGPT and post-conversation retargeting. Named references include Roku, WPP and Athenahealth. No pricing is published.evertune.ai
- Evertune publishes a Pro tier at 800 USD a month. Enterprise is custom and directs buyers to request a demo, with the page stating the product scales from a first AI visibility audit to enterprise-wide GEO and AI advertising.evertune.ai
Compiled by Alston Antony from the sources above:how we compile these entries and ouraffiliate disclosure.