MCP Server Architecture: How to Make Website Tools Easier for AI Agents to Discover
Learn how MCP server architecture affects AI agent discovery, WebMCP actions, tool descriptions, observability, and what website teams should test before publishing.
Notes on building agentic experiences, from visibility, crawlability, and usability. Start building for the next trillion users of the internet.
Learn how MCP server architecture affects AI agent discovery, WebMCP actions, tool descriptions, observability, and what website teams should test before publishing.
Learn how to measure crawl-to-referral ratio for AI crawlers: crawler requests, page value, citations, referrals, and what to monitor before changing access policy.
Learn how to verify AI bot traffic before you allow, block, or throttle crawlers. Check user agents, status codes, behavior, and crawler profiles with a practical workflow.
Learn the difference between Claude-User and ClaudeBot, what each request can prove, and how to monitor delegated AI agent access without blocking useful traffic.
Learn how to turn AI visibility prompts into repeatable tests that track answers, source pages, crawler evidence, and changes across ChatGPT, Perplexity, Gemini, and AI search.
Learn how ecommerce sites can identify AI shopping agent traffic, separate useful agents from bots, verify intent, and monitor product-search activity.
Use this WebMCP Checker workflow to test agent-readable actions, page context, crawler access, prompts, and monitoring before publishing AI agent workflows.
Learn how to find MCP servers on Reddit, evaluate recommendations, check GitHub evidence, test permissions, and avoid unsafe agent-tool integrations.
Google-Extended has no separate HTTP user agent. Learn what appears in server logs, what crawler analytics can prove, and how to avoid false attribution.
AI agents are moving from reading websites to taking actions. Learn what to track in AI agent audit logs before you trust agent traffic, tools, and workflows.
AI procurement agents need more than product copy. Learn how to make B2B product pages machine-readable with specs, compatibility, pricing rules, actions, and monitoring.
Learn what llms.txt is, what to include, what not to include, and how to monitor whether AI crawlers request it and follow its linked pages.
Learn how to turn AI crawler logs into content ideas, internal links, and post-publish monitoring workflows for better AI search and crawler visibility.
Learn how to check whether PerplexityBot crawled your website, what status code it received, and how crawler access connects to Perplexity AI search visibility.
Learn how AI shopping agents evaluate product pages, what ecommerce sites should expose, and how WebMCP and crawler monitoring can support agentic commerce discovery.
Learn why Claude may not be able to access your website, how ClaudeBot and Claude-User differ, and what to check in robots.txt, CDN, WAF, redirects, and crawler logs.
Learn how AI agents discover tools, MCP servers, and websites through search, registries, WebMCP, crawler access, and agent-readable website signals.
Learn how to tell whether ChatGPT is using your website, from weak signals like referrals and citations to stronger evidence from OpenAI crawler activity.
Agent Experience is how well your website works for AI agents. Learn how to improve AI visibility, crawlability, structured actions, and crawler monitoring.
Should you block AI crawlers in robots.txt? Learn how to decide which bots to allow, which to restrict, and how to avoid losing AI search visibility.
Google Analytics is built around human traffic, not AI crawler visibility. Learn which AI bots may visit your website, why GA can miss them, and how to monitor them with CrawlConsole.
ChatGPT ads introduce a new crawler visibility problem for advertisers. Learn what OAI-AdsBot is, why OpenAI uses it, and how to check whether it can crawl your landing pages.
A practical guide to connecting MCP discovery, web crawlers, and AI visibility so teams can understand how agents find and interact with their sites.
A practical walkthrough for finding backlinks in Google Search Console, exporting link data, and knowing when to go deeper with backlink research.
A practical setup guide for connecting Claude to CrawlConsole so it can inspect backlinks, referring domains, link gaps, and page-level evidence.
A practical setup guide for connecting Codex to CrawlConsole so it can inspect backlinks, referring domains, link gaps, and page-level evidence.
A practical setup guide for connecting OpenClaw to CrawlConsole so it can inspect backlinks, referring domains, link gaps, and page-level evidence.
A practical setup guide for connecting Hermes to CrawlConsole so it can inspect backlinks, referring domains, link gaps, and page-level evidence.
A home for practical notes on AI-native backlink intelligence, agentic SEO workflows, and the product thinking behind CrawlConsole.