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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Evertune the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Evertune scores 18.7/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Evertune
Each block below is one kind of artifact we hold for Evertune. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Evertune — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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