How Much Does Evertune Cost? (2026 Pricing, Explained)

Evertune is sales-gated. There is no transparent price-and-buy page, no free trial, and no self-serve signup — every tier routes you to "Book a demo."

As of 2026, Evertune's own pricing page lists two tiers: a Pro plan shown around $800/month (roughly 100,000 prompts analyzed, up to ~11 AI models, unlimited brands/competitors/users) and an Enterprise plan with Custom pricing (unlimited prompts, dedicated CSM, SSO, data-warehouse integrations).

Here's the wrinkle worth knowing: many independent reviews still report Evertune "starting around $3,000/month" for a single enterprise tier with no entry plan. That figure is consistent across multiple third-party write-ups and reflects either the Enterprise tier or earlier packaging before the cheaper Pro plan appeared. So both numbers are "true" depending on which tier and which review you read — which is exactly why you can't pin down a price without a sales call. Treat any specific number as an estimate until Evertune quotes you directly.

The ~$3,000/month framing didn't come from nowhere. Multiple independent reviews — across comparison sites and tool directories — landed on roughly that figure for Evertune's enterprise tier, often with annual contracts, which implies a minimum commitment in the tens of thousands of dollars per year.

That reputation stuck because of what Evertune is built to do. It's an enterprise Generative Engine Optimization platform from ex-Trade Desk founders with around $19M in funding, designed to sample each tracked prompt ~100 times across 10+ AI surfaces — on the order of 1,000,000+ prompts per brand per month — for statistically significant brand metrics. It also layers in consumer-panel data (Evertune cites a very large panel of real user prompts). That depth is genuinely valuable, and it's expensive to run.

The takeaway: if you're evaluating Evertune for an enterprise rollout, budget closer to the higher end and confirm in writing. The newer ~$800 Pro tier lowers the entry point, but it's still demo-gated, so don't assume you can swipe a card and start today.

Evertune is strong where it counts for big brands. For your spend you get high-volume, repeated sampling of AI engines (ChatGPT, Gemini, Google AI Overviews, Claude, Perplexity, Copilot, Meta AI, DeepSeek), statistically rigorous brand metrics — unaided awareness, share of voice, sentiment, competitive positioning — and CMO-ready reporting. Enterprise adds SSO, dedicated customer success, and warehouse integrations (Snowflake, BigQuery, Databricks, and so on). Logins are unlimited, so whole teams can share one source of truth.

The honest limitation isn't the analytics — it's the gap between insight and execution. Evertune tells you where you stand and why; acting on it still requires content and SEO/GEO work your team has to do. In one cited case, a brand only moved the needle after producing roughly 30,000 words of new authoritative content in-house. So budget for the platform and the people who'll act on what it finds. If you don't have an in-house content function, the true cost is higher than the subscription line item.

If your actual question is simpler — "Do AI engines recommend my brand, and who's beating me?" — you don't need a $3k/month commitment or a sales call to find out. That's the gap AEOeye fills.

AEOeye runs a free, instant, blind multi-engine audit across ChatGPT, Perplexity, Google AI, Claude, and Gemini. It asks the questions real buyers ask and shows whether you're recommended, where you rank, and which competitors win — in minutes, with no demo, no contract, and no ~$3k/month commitment. It's built for solo marketers, small businesses, and mid-market teams who just want a clear read.

Be clear on the trade-off, though. AEOeye is newer and lighter on enterprise-grade historical dashboards and high-volume statistical sampling; its deeper multi-engine querying activates with usage. Evertune offers far more statistical depth (the ~100x sampling, the consumer panel) for brands that need and can fund that rigor. A sensible path for many teams: start free with AEOeye to see if you even have a visibility problem worth a six-figure tool — then graduate to Evertune (or a similar platform) if and when the depth justifies the cost.