Resources.Technical guides, release notes, and reference documentation.

Everything engineering and search teams need to optimize websites for generative search engines, answer bots, and autonomous AI agents. Explore our practical implementation guides, canonical glossary, release history, and technical FAQs.

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Direct, structured resources built for frontend developers, technical SEOs, and digital architects.

Technical guides

Implementation playbooks for GEO, AEO, and AIO: writing llms.txt files, managing AI crawler access in robots.txt, and structuring JSON-LD entity graphs.

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Glossary of terms

Clear, authoritative definitions for 20+ core concepts across generative search, machine readability, model context protocols, and agentic workflows.

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Release notes

Dated changelog covering new diagnostic checks, audit engine enhancements, platform feature releases, and MCP server updates.

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Frequently asked questions

Comprehensive technical answers regarding our 200+ deterministic checks, 4-track scoring model, report schemas, and EU data privacy standards.

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Developer & tooling ecosystem

Integrate Benchmarq diagnostics directly into your development environment and automation pipelines.

Benchmarq MCP server

Connect AI coding assistants in Cursor, VS Code, or Claude Desktop directly to live domain audit data and track deductions.

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Checks catalog & test specs

Inspect every test in our 200+ diagnostic suite across GEO, AIO, AEO, and CORE with specific failure triggers and remediation guidance.

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How-to tutorials

Step-by-step guides for launching domain audits, configuring competitor benchmarks, and reading structured report exports.

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