# SpeedyBrand

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

SpeedyBrand (Speedy) is an AI-powered content marketing and SEO platform that helps businesses generate SEO-optimized blog posts, social media content, AI images, and Google Ads, along with keyword research, competitor analysis, technical SEO audits, and backlink recommendations. It generates content in 49+ languages across 100+ regions and offers one-click publishing plus integrations with WordPress, Webflow, Shopify, Zapier, Google Search Console, LinkedIn, Twitter, Instagram, and Facebook. Backed by GV (Google Ventures), Speedy targets small businesses and enterprises seeking to scale organic traffic. The product is a no-code SaaS web application; no public developer API or API documentation is published as of this profile.

## Kin Score — 20.0 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+4.8 from 15.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 2.2 |
| Commercial Clarity | 65.8 |

## Agent readiness — 3.2 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

- **Speedybrand Domain Security** — TLSv1.2 · DMARC

## Plans (1)

- **Speedybrand Plans Pricing**

## Tags

Company, Enterprise, SEO, Content Marketing, Artificial Intelligence, Content Generation, Marketing, SaaS

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