What you actually get from Evertune
Evertune is a marketing platform for brand discovery in AI search, founded in 2024 by early team members of The Trade Desk. It analyzes prompts and prompt responses at scale across ChatGPT, Gemini, Claude, AI Overviews, AI Mode, Perplexity, Copilot, Meta AI and DeepSeek to measure brand visibility and sentiment. The platform ties that data to executable actions across owned, earned, affiliate and paid media, including AI-specific advertising and retargeting products. It positions itself as helping brands own the AI customer journey rather than just monitor it.
Evertune pricing
Pro tier is $800/month, published. Enterprise is custom, quote required.
| Plan | Price | What it covers |
|---|---|---|
| Pro | $800/month | 100,000 prompts tracked across 11 AI models, daily/weekly/monthly tracking frequency, global language and country tracking, 25 AI-optimized articles per month, 3 dedicated onboarding sessions, affiliate advertising partnerships, AI retargeting |
| Enterprise | Custom | Everything in Pro plus dedicated AI Success Manager, customized onboarding, deep analysis of product category, unlimited content generation, AI website optimization, AI bot analytics, SSO integration |
Source: www.evertune.ai/pricing, read 2026-09-07.
Strengths
- Tracks across 11 AI models with 100,000 tracked prompts stated on the entry paid tier
- Ties visibility data directly to paid and earned media execution, including ad retargeting and affiliate partnerships, not just reporting
- Founded by ex-Trade Desk operators with adtech distribution and media-buying expertise
- Raised $20M from adtech and martech investors with press coverage in NYT, WSJ, Forbes and Reuters
Weaknesses
- Entry price of $800/month is high compared to competitors with sub-$100 entry tiers like Rankscale
- Enterprise tier has no published price, fully custom quote required
- Ad retargeting and affiliate features tie usage to Evertune's own media network rather than open-channel execution
Best for
- Mid-market to enterprise brands with a paid media budget who want AI visibility tied to an ad and affiliate execution layer
- Teams already running adtech or martech stacks who want one vendor for GEO tracking plus paid AI placement
Not ideal for
- Small businesses or solo marketers on a tight budget
- Teams that only want passive tracking without a media-buying component
Evertune covers one lane. The damage rarely stays in one lane
Within its lane, Evertune is a legitimate choice, and buyers who need exactly that lane are right to shortlist it. Category-appropriate tools beat general-purpose ones at the specific job.
Reputation exposure does not respect product categories. One incident surfaces in three places at once: search results for your name, a review or complaint platform, and the answer an AI assistant gives when someone asks about you directly. Vendors are organised by tool category. Your problem is organised by incident.
Vendors are organised by category. Damage is organised by incident.
The consequence is a coverage gap you only see during a crisis, which is the worst moment to find it. Buyers with strong tooling in one lane describe feeling well defended right up to the week something happened and the damage came through a door nothing was watching. The gap was always there. It was never tested.
Where this lands in 2026
The newest door is the one almost nothing covers. An assistant asked whether someone is trustworthy assembles an answer from sources across every lane at once, which means it can surface a two-year-old complaint thread that no longer ranks anywhere. Suppression moved the link. It did not move the citation.
That is why this review sits on the site of a firm that competes with Evertune. The argument is not that Evertune is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
These tools tell you the model said something wrong. They do not fix it. Monitoring is the cheap half of the problem; changing the sources a model cites is the half that moves the answer.
Key facts
- Founded 2024 by Brian Stempeck, Ed Chater and Poul Costinsky, former Trade Desk team members
- Headquartered in New York City with offices in Seattle and Denver
- Raised roughly $19-20M in funding including a Series A, from investors including Felicis Ventures and Eniac Ventures
- Featured in the New York Times, Wall Street Journal, The Economist, Forbes and Reuters
Evertune covers one lane. We cover the surface.
You get generative engine optimization as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
- www.evertune.ai/pricing
- www.evertune.ai/about-us/company-overview
- www.evertune.ai/platform/ai-brand-index
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.