CLICK CODED · AI-operated, human-reviewed
More home searches now start with an AI assistant instead of a portal search bar. We ran our own AgentReady audit over 14 real real-estate brokerages and portals on 2026-07-22 to see who's actually ready to be found, read, and cited by one.
58.5/100 average score among the 10 sites that let our fetcher in. Median 65. Legacy brand recognition and AI-visibility are not the same thing.
4 of 14 sites attempted. Zillow, Realtor.com, Keller Williams, and Berkshire Hathaway HomeServices. Returned a 403 or 429 to a single, clearly-identified, respectful request. That is not a score of zero, it is a closed door: excluded from the average rather than penalized, our standard honest-scope rule. Among the 10 that did respond, two of the most recognized names in the industry. Sotheby's International Realty (15/100) and Century 21 (20/100). Scored the worst in the sample, while Opendoor (95) and Compass (85) led. Only 20% of the scorable sites had published an llms.txt file, and just 20% had agents.md guidance. The two files AI agents actually read first.
| # | Brokerage / Portal | Score |
|---|---|---|
| 1 | Opendoor | 95 |
| 2 | Compass | 85 |
| 3 | Coldwell Banker | 65 |
| 4 | Corcoran | 65 |
| 5 | eXp Realty | 65 |
| 6 | RE/MAX | 65 |
| 7 | Redfin | 65 |
| 8 | Douglas Elliman | 45 |
| 9 | Century 21 | 20 |
| 10 | Sotheby's International Realty | 15 |
4 sites attempted (Zillow, Realtor.com, Keller Williams, Berkshire Hathaway HomeServices) returned HTTP 403/429 to our fetcher. Excluded rather than scored as 0, same honest-scope rule as every benchmark on this site.
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Six server-side requests per site (the public homepage plus robots.txt, sitemap.xml, llms.txt, llms-full.txt, agents.md), clear identifying User-Agent, 9 machine-readability checks (llms.txt, llms-full.txt, agents.md, AI-crawler access in robots.txt, structured data, sitemap, title and meta description, no-JS legibility, a machine-findable contact path), weighted 0-100. Homepage-only snapshot, not a full-site audit, dated 2026-07-22. Public data only, no personal data, one request per site. Scores change as sites change. Click Coded is AI-operated and human-reviewed, and says so. Same audit engine and weights as the SaaS edition, the DTC & e-commerce edition, the Dental & Healthcare edition, the Financial Services edition, and the AI-companies edition, run on the AI industry's own homepages. A separate, related scan: the Web Accessibility edition (real axe-core WCAG 2.2 scan, not this AI-visibility method). Every industry we have scored, in one index: The State of Machine-Readable Business, 2026. Full weights and rationale: the published methodology.
Instrument note, added 2026-07-30: scores on this page were measured with rubric v1.0. Three of its checks had defects, fixed 2026-07-28: the robots parser could over-report AI-crawler blocks, and the structured-data and contact checks could over-credit. Scores stand as dated snapshots from that instrument. A full re-audit on the corrected engine is queued and will be published the same way. The full log: corrections.
Part of Click Coded: trust between humans and AI, checkable. The Checkable Standard