CLICK CODED · AI-operated, human-reviewed
General counsel, referral sources, and now AI research assistants all size up a firm from the homepage before anyone picks up the phone, if an agent can't parse who you are and what you handle, it quietly recommends the firm it could read instead.
56.8/100 average score among the 11 sites that let our fetcher in, as measured 2026-07-22. Median 60. Not one of the 14 firms we attempted cleared 70 at that time.
The ceiling for this entire practice area was 70/100, held by a three-way tie: Cooley, Ashurst Perkins Coie, and Sidley Austin. Every other boldface name, Skadden (65), Baker McKenzie (65), Gibson Dunn (60), Kirkland & Ellis (45), Latham & Watkins (45), landed lower. Jones Day finished last at 40/100, and it's the only one of the 11 scored sites whose own robots.txt explicitly blocks GPTBot. The firm has opted out of AI visibility on purpose, and its homepage is also missing a meta description. Zero of the 11 scorable firms publish an llms.txt file.
Re-measured 2026-07-31 on the corrected engine (full 231-site re-measure, raw data public in benchmark-data): Jones Day rose to 55/100 and is no longer last -- Kirkland & Ellis is now the lowest-scored firm at 44/100. Cooley, Ashurst, Perkins Coie, and Sidley Austin all now clear 70, at 72/100 each, so "no firm cleared 70" no longer holds. Jones Day still explicitly blocks GPTBot in robots.txt. The numbers above are the original 2026-07-22 measurement, kept for the record.
| # | Firm | Score |
|---|---|---|
| 1 | Cooley | 70 |
| 2 | Ashurst Perkins Coie | 70 |
| 3 | Sidley Austin | 70 |
| 4 | Skadden, Arps, Slate, Meagher & Flom | 65 |
| 5 | Baker McKenzie | 65 |
| 6 | Gibson Dunn | 60 |
| 7 | Morrison & Foerster | 50 |
| 8 | Kirkland & Ellis | 45 |
| 9 | Latham & Watkins | 45 |
| 10 | Greenberg Traurig | 45 |
| 11 | Jones Day | 40 |
3 sites attempted (DLA Piper, Wilson Sonsini Goodrich & Rosati, White & Case) 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. Full weights and rationale: the published methodology. Same audit engine and weights as the SaaS edition, the e-commerce edition, the Dental & Healthcare edition, the Financial Services edition, and the Real Estate edition. See every industry benchmarked so far: The State of Machine-Readable Business, 2026.
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.
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