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, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyGenerative Engine OptimizationAI SearchBrand MonitoringMarketing IntelligenceAI VisibilityAnalyticsArtificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 18.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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 →

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 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

HelpCenter

HelpCenter

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

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: '2026-07-19'
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: LLMsTxt
  url: llms/evertune-llms.txt
- type: DomainSecurity
  url: security/evertune-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence