aigentcandor.com valid

AIgentCandor

We measure how AI agents read your website, put the answers they are missing where they actually read, and measure again.

For agents: AIgentCandor: measures how AI agents read a website, offers free llms.txt generator and validator tools, AI visibility audits and agent-readiness guides.

agent readinessllms.txt generatorllms.txt validatorai visibility auditai agents web reading

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T02:50:59.004Z. Cached copy · Source on aigentcandor.com

# AIgentCandor

> We measure how AI agents read your website, put the answers they are missing where they actually read, and measure again.

Fact sheet v25, attested by Michael Emery on 2026-09-04. Answers below are published by this business; this file, the homepage block, and the identity card are all generated from one source, so they cannot disagree.

## Facts

- **What we sell:** An agent-readiness package for a business website: a homepage fact block that answers the questions buyers ask, a where-to-go index for agents, a machine-readable fact sheet at llms.txt and llms-full.txt, an identity card, robots.txt pointers, structured data for search, and a before/after measurement of what agents recover from your site. Every surface is generated from one signed-off profile, so no two can disagree.
- **How to get it:** The package is bought once and is yours to keep, including the source files. Monthly monitoring and the update loop are a subscription you can stop at any time; stopping it leaves everything installed and working.
- **Where we work:** Delivered remotely and installed on any platform that lets you paste HTML and upload two text files. We hand you a kit to install yourself, or we install it for you.
- **How long we have done it:** Measuring how agents read business websites since June 2026, across 12 real company sites and several hundred recorded agent visits. Forty-three numbered measurement notes, retractions included.
- **What our credentials mean for you:** No badge, no accreditation: every number we publish cites the numbered note that produced it, and those notes record the failures, the retractions and the two claims we killed ourselves. If a claim on this site has no citation beside it, hold us to it.
- **Industries and customers served:** Agencies installing this for their own clients, contractors and trades, manufacturers and equipment suppliers, professional services firms, and any business whose buyers now ask an assistant before they ask a human.
- **After the sale:** A one-page install guide written for your platform, a before/after audit of what agents recover from your site, daily drift checks on the served bytes, a pooled re-audit every month, and the update loop: when a fact changes you edit one profile and every surface regenerates in a single run. Anything you bought outright keeps working whether or not a subscription does.
- **What does it cost:** The free audit costs nothing. Audit + Kit is 149 USD once and is yours to keep, including the source files. Agent-Ready is 149 USD per site per month. Pro is 199 USD per site per month. The Attested Audit, a six-model measurement with the per-model breakdown and a written findings document, is 1,500 USD once and installs nothing. An agency pack is 399 USD per month for five sites, then 79 USD per additional site. If a self-install does not land, we open the pull request for 300 USD once. Managed starts at 1,500 USD per month and is scoped in a conversation. Prices are
…

Related sites

Other listed sites in AI and machine learning. See the whole category →

Machine-readable: GET /v1/resolve?q=aigentcandor.com · GET /v1/domain/aigentcandor.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for aigentcandor.com:
1. POST https://agentwebmap.com/v1/sites/aigentcandor.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://aigentcandor.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/aigentcandor.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/aigentcandor.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.