Evertune

Evertune is a Generative Engine Optimization (GEO) and AI brand-intelligence platform that helps brands, marketers, and agencies understand, measure, and influence how they appear in AI-driven recommendations. As discovery shifts from traditional search engines to conversational answer engines like ChatGPT, Claude, Gemini, and Perplexity, Evertune tracks brand visibility and sentiment across 10+ AI models, analyzes how large language models describe a brand versus its competitors, and delivers prescriptive message and content briefs to improve that positioning. The platform combines large-scale prompt testing (100,000+ prompt responses per report via direct base-model API access), the EverPanel consumer panel, daily consumer-app data, an AI Brand Index and AI Brand Score, content activation, and AI advertising. Founded in 2024 by operators who helped scale The Trade Desk, Evertune is backed by Felicis and serves customers including Roku, WPP, athenahealth, and HexClad. Evertune is a data consumer of the major model APIs; it does not currently publish a first-party developer API, SDK, or OpenAPI.

Evertune is profiled on the APIs.io network. Tagged areas include Company, Generative Engine Optimization, AI Search, Brand Monitoring, and Marketing Intelligence.

Evertune’s developer surface includes documentation, pricing, engineering blog, signup flow, YouTube channel, authentication, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

26.3/100 emerging ▲ 8.6 Agent 12/100 agent aware Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0

0 APIs

CompanyGenerative Engine OptimizationAI SearchBrand MonitoringMarketing IntelligenceAI VisibilityAnalyticsArtificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0

Composite quality — 26.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 5.2 / 20

Commercial Clarity 13.2 / 20

Operational Transparency 0.7 / 13

Governance 1.5 / 12

Discoverability 5.7 / 10

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/evertune: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Pricing Plans 1

Published pricing tiers and plan structures.

Evertune Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Scopes 1

OAuth scopes governing access to this provider's APIs.

Evertune Scopes

14 scopes · authorizationCode/clientCredentials/implicit

14 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

HelpCenter

HelpCenter

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Source (apis.yml)

aid: evertune
name: Evertune
description: Evertune is a Generative Engine Optimization (GEO) and AI brand-intelligence platform that helps brands, marketers,
  and agencies understand, measure, and influence how they appear in AI-driven recommendations. As discovery shifts from traditional
  search engines to conversational answer engines like ChatGPT, Claude, Gemini, and Perplexity, Evertune tracks brand visibility
  and sentiment across 10+ AI models, analyzes how large language models describe a brand versus its competitors, and delivers
  prescriptive message and content briefs to improve that positioning. The platform combines large-scale prompt testing (100,000+
  prompt responses per report via direct base-model API access), the EverPanel consumer panel, daily consumer-app data, an
  AI Brand Index and AI Brand Score, content activation, and AI advertising. Founded in 2024 by operators who helped scale
  The Trade Desk, Evertune is backed by Felicis and serves customers including Roku, WPP, athenahealth, and HexClad. Evertune
  is a data consumer of the major model APIs; it does not currently publish a first-party developer API, SDK, or OpenAPI.
url: https://raw.githubusercontent.com/api-evangelist/evertune/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/65fc8aa2e86478511b710078/68b8a3ea1e6fb2d5d5503742_Logo.svg
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- Company
- Generative Engine Optimization
- AI Search
- Brand Monitoring
- Marketing Intelligence
- AI Visibility
- Analytics
- Artificial Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.evertune.ai/
- type: Documentation
  url: https://docs.evertune.ai/
- type: HelpCenter
  url: https://docs.evertune.ai/
- type: Pricing
  url: https://www.evertune.ai/pricing
- type: Blog
  url: https://www.evertune.ai/resources/blog
- type: Login
  url: https://auth.evertune.ai/u/login/identifier
- type: SignUp
  url: https://www.evertune.ai/get-started
- type: TermsOfService
  url: https://www.evertune.ai/legal/terms-of-service
- type: PrivacyPolicy
  url: https://www.evertune.ai/legal/privacy-policy
- type: LinkedIn
  url: https://linkedin.com/company/evertune-ai
- type: YouTube
  url: https://www.youtube.com/@evertune-ai/videos
- type: GitHubOrganization
  url: https://github.com/Evertune-AI
- type: LLMsTxt
  url: llms/evertune-llms.txt
- type: DomainSecurity
  url: security/evertune-domain-security.yml
- type: WellKnown
  url: well-known/evertune-well-known.yml
- type: Authentication
  url: authentication/evertune-authentication.yml
- type: OAuthScopes
  url: scopes/evertune-scopes.yml
- type: Conformance
  url: conformance/evertune-conformance.yml
- type: Plans
  url: plans/evertune-plans-pricing.yml
x-enrichment:
  date: '2026-08-13'
  status: minimal
  artifacts_added: 8
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: 'Evertune is a consumer of the model providers'' APIs rather than a publisher of one — its own FAQ says base-model
    data is "reachable only through direct API integration with the model provider" — and it ships no developer surface of
    its own: the pricing page''s two demo-led tiers name no API access, the Intercom help center holds three end-user articles,
    and app.evertune.ai is a closed SPA whose backend is undocumented; the only machine-readable thing Evertune serves is
    the Auth0 OIDC discovery document on auth.evertune.ai, which signs users in to that app.'
  evidence:
  - url: https://auth.evertune.ai/.well-known/openid-configuration
    status: 200
  - url: https://www.evertune.ai/pricing
    status: 200
  - url: https://docs.evertune.ai/llms.txt
    status: 200
  - url: https://www.evertune.ai/openapi.json
    status: 404
  - url: https://www.evertune.ai/.well-known/agent-card.json
    status: 404
  checked: '2026-08-13'