Evertune

The only tracker that samples each prompt 100 times

AI Visibility / LLM Mention Tracking AI-Powered Enterprise AI Visibility Custom Pricing Only Market Research

Entry price

Custom quote — no published pricing

Typical annual

Not disclosed by vendor

Free trial

Demo only

Contract

Annual

Vendor discloses no pricing Checked July 30, 2026
See the vendor's pricing page

About Evertune

Evertune is built around a methodological objection to how the rest of this category works. Language models are stochastic — ask one the same question twice and the brands it names can change. Almost every AI visibility tool samples a prompt once and reports the answer as a measurement, which is closer to a coin flip than a metric. Evertune samples each prompt 100 times across every model, producing a distribution rather than a snapshot. It also grounds its prompts in EverPanel, a panel it describes as 150 million-plus real user prompts, so it is measuring questions people actually ask rather than ones a marketer imagined. The site is also unusually careful to say what it is not doing: this reads model outputs, not training data or model weights, a distinction several competitors blur. Eleven models are covered, including ChatGPT, Claude, Perplexity, Gemini, AI Mode, AI Overviews, Copilot, DeepSeek and Meta AI, and the product reaches into paid as well as earned channels. Roku, WPP and Athenahealth are named among 700-plus advertisers and agencies. Nothing is priced publicly.

Full specification

Pricing & Model

Entry price
Custom quote — no published pricing
Median annual cost
Not disclosed by vendor
Pricing model
Quote-only, enterprise-scoped
Free trial
Demo only
Contract required
Annual
Overage pricing
Negotiated per contract

Searches / Topics / Queries

What they call it
Prompts / samples / models
Entry tier limit
Contracted
Mid tier limit
Contracted
Enterprise limit
Contracted
Boolean support
Not applicable — prompt-based, not Boolean query-based

Mentions / Results

Counting method
100 samples per prompt per model — a distribution, not a single reading
Entry tier
Contracted
Mid tier
Contracted
Enterprise tier
Contracted
Historical lookback
Not published

Users & Seats

Entry tier users
Contracted
Mid tier users
Contracted
Enterprise users
Contracted
Extra seat cost
Negotiated

Key Features

Sentiment analysis
Yes — brand sentiment across sampled responses
Emotion detection
Not documented publicly
Intent classification
Prompts drawn from EverPanel reflect real user intent
Entity extraction
Yes — brand and competitor entities across sampled answers
Image recognition
Not applicable to this category
Webhooks
Not documented publicly
API access
Not documented publicly
Publishing tools
No — but it spans paid as well as earned channels
News / media coverage
No — this tracks AI answers, not news or social
Language support
Not published
Interface languages
EN

AI Visibility Tracking

AI surfaces tracked
11 models: ChatGPT, Claude, Perplexity, Gemini, AI Mode, AI Overviews, Copilot, DeepSeek, Meta AI and others
Prompts tracked
Contracted; each prompt sampled 100 times per model, grounded in a 150M+ real-prompt panel
Citation analytics
Yes — source analysis across sampled responses
Competitor share of voice
Yes — share of brand mentions measured as a distribution
Content recommendations
Yes — spans earned and paid channel strategy
AI crawler analytics
Not documented publicly

Best For

Primary audience
Large advertisers and agencies making media investment decisions from AI visibility data, who need a defensible measurement rather than a single sampled answer — and who can absorb an enterprise contract to get it.
Regional focus
Global, US-centric client base

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