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Semrush vs SpyFu

Semrush scores higher on the AgentReady, 46/100 against 33/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Semrush. The leading platform to grow and measure brand visibility across every digital channel.

SpyFu. Competitor keyword research tools for Google Ads PPC & SEO that transform metrics and competitor research into AI-powered actions

Where Semrush is ahead

Semrush passes clear canonical domain, clear product positioning, mcp discoverable and package / cli discoverable, and SpyFu does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow, official typescript sdk and mcp integration available. SpyFu misses those.

Where SpyFu is ahead

SpyFu passes structured api reference, and Semrush does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: no mandatory sales call. Semrush misses it.

What neither does

Both fail public docs discoverable, llms-full.txt / full agent docs, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, 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 is whether an agent can find the product at all without being told it exists. Semrush leads 80 to 40. Semrush misses public docs discoverable, llms-full.txt / full agent docs; SpyFu misses clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs, mcp discoverable, package / cli discoverable.

Understand. SpyFu leads 38 to 23. Semrush misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; SpyFu misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Semrush leads 55 to 30. Semrush misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available; SpyFu misses agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk, cli available, mcp integration available.

Operate. Both sit at 24/100 here. Semrush misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; SpyFu misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Semrush does not publish a machine-readable starting price with no free tier. SpyFu starts at $29/mo with no free tier.

Signal by signal

Which to pick

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

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