# RankScience

**Canonical:** https://apis.io/providers/rankscience/  
**Website:** https://rankscience.com/  
**APIs profiled:** 0

RankScience is a San Francisco based SEO and AI-visibility agency (RankScience LLC) that helps startups, SaaS companies, and enterprises grow search traffic through foundational and technical SEO, strategic content, and link building, alongside next-generation AI-search optimization services (Generative Engine Optimization, Large Language Model Optimization, and Answer Engine Optimization) for platforms like ChatGPT, Claude, and Perplexity. It began as a YC-backed SEO A/B testing platform and now operates as a services agency. RankScience does not currently publish a public developer API, SDKs, or API documentation; this profile captures its public web and AI-discovery surface (a published /llms.txt and domain security posture).

## Kin Score — 11.7 / 100 (emerging)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (-0.2 from 11.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Rankscience Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Rankscience Plans Pricing**

## Tags

Company, Enterprise Saas, SEO, AI Visibility, Generative Engine Optimization, Content Marketing, Marketing Agency

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/rankscience/). Scores are computed from the provider's own public artifacts under a published rubric.