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.
Browse technical guides→Glossary of terms
Clear, authoritative definitions for 20+ core concepts across generative search, machine readability, model context protocols, and agentic workflows.
Explore the glossary→Release notes
Dated changelog covering new diagnostic checks, audit engine enhancements, platform feature releases, and MCP server updates.
View changelog→Frequently asked questions
Comprehensive technical answers regarding our 200+ deterministic checks, 4-track scoring model, report schemas, and EU data privacy standards.
Read the FAQ→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.
Explore Benchmarq MCP→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.
Browse checks catalog→How-to tutorials
Step-by-step guides for launching domain audits, configuring competitor benchmarks, and reading structured report exports.
View how-to guides→Audit your website's AI readiness today
Enter your domain to run 200+ rule-based checks across GEO, AIO, AEO, and CORE in under 2 minutes. Free plan includes 4 pages a month with zero setup required.