Search growth engineering

Learn how to build SEO into the agent workflow.

Technical guides for developers, founders, agencies, and publishers who want live search evidence inside Cursor, Claude, ChatGPT, Windsurf, VS Code, and custom agents.

Start with the MCP guide →Open developer docs

01 · Source-awareKnow where the evidence came from.Measured performance, crawl findings, licensed metrics, and saved research remain distinguishable.

02 · Project-scopedKeep context attached to the workspace.Domains, audits, lists, priorities, and history stay connected instead of becoming another export.

03 · Agent-deliveredCall the workspace through MCP or HTTP.Use the same authorized evidence in Cursor, Claude, ChatGPT, Windsurf, VS Code, and custom agents.

04 · Human-reviewableInspect the decision before it ships.The interface remains available while the agent handles retrieval, synthesis, and handoff.

Flagship guides

Understand the architecture. Then build the operating loop.

Each guide is designed around a real job: connect the data, retrieve the right evidence, make a defensible decision, and hand the result into implementation.

Category guide

What is an SEO MCP server?

A practical guide to the architecture, tool design, setup, security, and evaluation of agent-ready SEO data.

Explore →Operating system

The agentic SEO workflow

A seven-stage loop that moves from evidence to implementation, verification, measurement, and the next decision.

Explore →Developer guide

SEO API design for AI agents

How to expose search data to models without creating a brittle, noisy, or unsafe automation layer.

Explore →

Setup and implementation

Go from first token to production workflow.

Client-specific pages and developer documentation make the connection path explicit instead of hiding it behind a generic “integrations” claim.

Documentation

MCP and HTTP API quickstart

Authentication, client configuration, endpoint patterns, core tools, prompt recipes, and production checks.

Explore →Integration

SEO tools inside Cursor

Connect a workspace to Cursor and turn audits and research into repository-aware implementation plans.

Explore →Integration

SEO workflows with Claude

Use SearchSignal from Claude Desktop or Claude Code for research, prioritization, and delivery handoffs.

Explore →

A better content strategy

Publish for the problem your customer is trying to solve.

SearchSignal’s resource library is structured around high-intent technical questions: how an SEO MCP server works, how to connect each major AI client, how to design an agent-safe API, and how to operate SEO as a measurable build loop.

Product-led explanations that naturally demonstrate the platform
Client-specific setup pages that match integration search intent
Developer documentation linked directly from commercial pages
Clear next steps from every article into a free token or live setup

Recommended path

Read → connect → retrieve → implement

Read the SEO MCP server guide.
Create a free workspace and token.
Connect Cursor, Claude, ChatGPT, Windsurf, or VS Code.
Ask for the latest audit or a workspace pack.
Use the evidence to plan, ship, and verify the first change.

See the connection flow →

The product behind the page

Teach the operating model—not generic SEO.

Authority content should explain how live evidence, agent context, delivery, and verification work together in a modern SEO system.

01Own the SEO MCP category.

02Show reliable API patterns.

03Connect every guide to product action.

SearchSignal visual: Teach the operating model—not generic SEO. — Authority content should explain how live evidence, agent context, delivery, and verification work together in a modern SEO system.

Connect once. Ask anywhere.

Put the guide into practice.

Create a free token, connect the AI environment you already use, and ask for a live project briefing instead of copying data into chat.

Create a free token →See the two-minute setup