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Ahrefs vs Screaming Frog

Ahrefs scores higher on the AgentReady, 83/100 against 37/100. They differ on 17 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Ahrefs. Ahrefs is an AI marketing platform built on a proprietary index of the web that provides tools and data to grow brand traffic, visibility, and revenue in search, AI, and beyond.

Screaming Frog. UK based SEO agency and creators of website crawler and log file analyser tools

Where Ahrefs is ahead

Ahrefs passes public docs discoverable, llms.txt published and mcp discoverable, and Screaming Frog does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. Screaming Frog misses those.

And on adopt, self-service signup, no mandatory sales call, programmatic credential creation and mcp integration available. Screaming Frog misses those.

Finally, on operate, structured, predictable output, machine-readable errors and observable execution. Screaming Frog misses those.

Where Screaming Frog is ahead

Screaming Frog passes copyable quickstart, and Ahrefs does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

What neither does

Both fail llms-full.txt / full agent docs, authentication documented, fast time to first request, cli available, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Ahrefs leads 93 to 60. Ahrefs misses llms-full.txt / full agent docs; Screaming Frog misses public docs discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Ahrefs leads 92 to 23. Ahrefs misses authentication documented; Screaming Frog misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Ahrefs leads 85 to 40. Ahrefs misses fast time to first request, copyable quickstart, cli available; Screaming Frog misses self-service signup, no mandatory sales call, programmatic credential creation, fast time to first request, cli available, mcp integration available.

Operate. Ahrefs leads 61 to 24. Ahrefs misses retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Screaming Frog misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Ahrefs does not publish a machine-readable starting price and has a free tier. Screaming Frog does not publish one and has a free tier.

Signal by signal

Which to pick

Ahrefs clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Ahrefs and Screaming Frog. Alternatives to each: Ahrefs, Screaming Frog.

An agent can fetch this as data: POST /v1/compare {"slugs": ["ahrefs", "screamingfrog"]}