outbid.lol rank #5 · bid $12,711 · checked 2026-08-22
Partly ready
17 of 25 checks pass · board median 70 · 3 of 91 scored 90+
AI crawler access
1007/7
Discovery
1003/3
Agent interfaces
201/5
Agent-usable responses
1002/2
Machine readability
674/6
Identity and trust
250/2
Is this your site? This score is from 2026-08-22 and does not update when you ship. Run it live and you get today’s answer in a few seconds.
Re-check crowdreply.ioEach one has a prompt written for a coding agent. Paste it into Claude Code, Cursor or whatever you build with. Or take all of them in one go.
llms.txt is the emerging way to tell a model which of your pages matter and what they cover.
Publish /llms.txt: a title, one sentence on what the site is for, then your pages as markdown links with a line each.
Without llms.txt an agent works out your purpose from your navigation, which is a guess.
Put a blockquote summary under the title of llms.txt: one sentence on who the site is for and which questions it answers.
RFC 9727 defines this path as where an agent looks for the APIs a site offers.
If you have a public API, list it at /.well-known/api-catalog. If you do not, this one is fair to ignore.
If you run an MCP server, this file is how an agent finds it without being told the URL.
Running an MCP server? Publish the card at /.well-known/mcp/server-card.json so an agent finds it on its own.
More than one H1 splits what the page claims to be about.
Leave exactly one H1 on the page, and make it the sentence you would want quoted back.
17,551 characters of text inside 11,40,694 bytes of HTML. Everything else is markup an agent pays for and cannot use.
Cut inlined state, framework payloads and repeated markup out of the HTML, or serve a markdown twin for agents that ask.
About: 404 at /about. Contact: 404 at /contact. Privacy: 404 at /privacy.
Publish about, contact and privacy pages with at least 500 characters each. They are where an agent checks you are a real company before it recommends you.
An agent can see who you are but not how to reach you, which is the half that decides whether it recommends you.
Add Organization JSON-LD with name, url, logo, contactPoint and address. The contact fields are the ones agents quote.
The same check runs on anything. It fetches the page once and reads what an assistant would read, which is the server’s HTML, with no JavaScript and no scrolling.
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