rank int64 1 22 | tier stringclasses 4
values | site stringlengths 4 12 | url stringlengths 18 29 | agentic_score float64 0.1 1 | accessibility_tree stringclasses 2
values | cumulative_layout_shift stringclasses 2
values | llms_txt stringclasses 2
values | webmcp float64 |
|---|---|---|---|---|---|---|---|---|
1 | ai-native | openai | https://openai.com | 1 | PASS | PASS | null | null |
2 | ai-native | stripe | https://stripe.com | 1 | PASS | PASS | PASS | null |
3 | big-brand | target | https://www.target.com | 1 | PASS | PASS | PASS | null |
4 | ai-native | vercel | https://vercel.com | 0.67 | FAIL | PASS | PASS | null |
5 | pub-saas | notion | https://www.notion.so | 0.67 | PASS | PASS | FAIL | null |
6 | pub-saas | shopify | https://www.shopify.com | 0.67 | FAIL | PASS | PASS | null |
7 | smb | kaire | https://kairelaw.com | 0.67 | PASS | PASS | FAIL | null |
8 | smb | isawow | https://isawow.com | 0.67 | FAIL | PASS | PASS | null |
9 | smb | incrementors | https://www.incrementors.com | 0.67 | PASS | PASS | FAIL | null |
10 | big-brand | nike | https://www.nike.com | 0.52 | PASS | FAIL | null | null |
11 | ai-native | perplexity | https://www.perplexity.ai | 0.5 | FAIL | PASS | null | null |
12 | big-brand | apple | https://www.apple.com | 0.5 | FAIL | PASS | null | null |
13 | big-brand | cocacola | https://www.coca-cola.com | 0.5 | FAIL | PASS | null | null |
14 | pub-saas | nytimes | https://www.nytimes.com | 0.5 | FAIL | PASS | null | null |
15 | smb | glomedspa | https://glomedspas.com | 0.5 | FAIL | PASS | null | null |
16 | smb | emeraldpool | https://emeraldpoolandspa.com | 0.5 | FAIL | FAIL | null | null |
17 | ai-native | anthropic | https://www.anthropic.com | 0.33 | FAIL | PASS | FAIL | null |
18 | ai-native | cursor | https://cursor.com | 0.33 | FAIL | PASS | FAIL | null |
19 | big-brand | walmart | https://www.walmart.com | 0.33 | FAIL | PASS | FAIL | null |
20 | smb | archdental | https://arch-dental.ca | 0.33 | FAIL | PASS | FAIL | null |
21 | pub-saas | hubspot | https://www.hubspot.com | 0.19 | FAIL | FAIL | FAIL | null |
22 | pub-saas | salesforce | https://www.salesforce.com | 0.1 | FAIL | FAIL | null | null |
The Agentic Readiness Index
How ready is the web for AI agents? This dataset measures the agentic readiness of leading websites: how well an AI agent (ChatGPT, Perplexity, an agentic browser) can read, understand, and act on a page. It is the open companion to the study "Built for Eyes, Not Agents" (DOI: 10.13140/RG.2.2.10508.48000).
Maintained by Rahul Kumar (AI Researcher & Founder, Incrementors). Open data, CC BY 4.0. Contributions and re-runs welcome.
Why this exists
Search visibility is measured exhaustively. Page speed is measured continuously. Agentic readiness — whether the software agents now acting for users can actually use your site — is barely measured at all. As AI agents mediate a growing share of discovery and purchase, this becomes a first-class metric. The Index is an open, reproducible baseline and a living leaderboard.
How it's measured (fully reproducible)
Google Lighthouse 13.3.0, experimental agentic-browsing category, one command per site:
npx lighthouse@13.3.0 <url> --only-categories=agentic-browsing --chrome-flags="--headless --no-sandbox"
The overall agentic_score is a pass-ratio across checks that map to what an agent must do:
| Capability | Check column | Meaning |
|---|---|---|
| Read | accessibility_tree |
Is the machine-readable structure well-formed |
| Understand | llms_txt |
Valid llms.txt telling AI what the site is |
| Act | webmcp |
Browser-side WebMCP tools registered |
| Trust | cumulative_layout_shift |
Layout stable, not a moving target |
PASS / FAIL / NA (not applicable, e.g. capability absent). Scores are single-run on the home page and the category is experimental, so treat individual numbers as indicative; the value is the pattern across the set.
Columns
rank, tier (ai-native / big-brand / pub-saas / smb), site, url, agentic_score, accessibility_tree, cumulative_layout_shift, llms_txt, webmcp.
Key findings (v1, 22 sites, June 2026)
- Median score 0.50; mean 0.55. Even leading sites are half-ready at best.
- 0 of 22 registered browser-side WebMCP — the "act" layer is essentially unbuilt.
- 68% failed the accessibility-tree (read) check.
- Only 23% served a valid
llms.txt. - 82% passed layout stability — the human-era metric the industry already optimizes.
- Budget does not predict readiness: the two lowest scores are martech giants Salesforce (0.10) and HubSpot (0.19); a small business scored above Apple, Nike, and Walmart.
Leaderboard (v1, June 2026)
| Rank | Site | Score | Read (a11y) | Trust (CLS) | Understand (llms.txt) | Act (WebMCP) |
|---|---|---|---|---|---|---|
| 1 | OpenAI | 1.0 | PASS | PASS | NA | NA |
| 2 | Stripe | 1.0 | PASS | PASS | PASS | NA |
| 3 | Target | 1.0 | PASS | PASS | PASS | NA |
| 4 | Vercel | 0.67 | FAIL | PASS | PASS | NA |
| 5 | Notion | 0.67 | PASS | PASS | FAIL | NA |
| 6 | Shopify | 0.67 | FAIL | PASS | PASS | NA |
| 7 | Kaire & Heffernan | 0.67 | PASS | PASS | FAIL | NA |
| 8 | isaWOW | 0.67 | FAIL | PASS | PASS | NA |
| 9 | Incrementors | 0.67 | PASS | PASS | FAIL | NA |
| 10 | Nike | 0.52 | PASS | FAIL | NA | NA |
| 11 | Perplexity | 0.50 | FAIL | PASS | NA | NA |
| 12 | Apple | 0.50 | FAIL | PASS | NA | NA |
| 13 | Coca-Cola | 0.50 | FAIL | PASS | NA | NA |
| 14 | New York Times | 0.50 | FAIL | PASS | NA | NA |
| 15 | Glo Medspa | 0.50 | FAIL | PASS | NA | NA |
| 16 | Emerald Pools | 0.50 | FAIL | FAIL | NA | NA |
| 17 | Anthropic | 0.33 | FAIL | PASS | FAIL | NA |
| 18 | Cursor | 0.33 | FAIL | PASS | FAIL | NA |
| 19 | Walmart | 0.33 | FAIL | PASS | FAIL | NA |
| 20 | Arch Dental | 0.33 | FAIL | PASS | FAIL | NA |
| 21 | HubSpot | 0.19 | FAIL | FAIL | FAIL | NA |
| 22 | Salesforce | 0.10 | FAIL | FAIL | NA | NA |
Citation
Kumar, R. (2026). Built for Eyes, Not Agents: Measuring How Ready 22 of the World's Leading Websites Are for the Agentic Web. DOI: 10.13140/RG.2.2.10508.48000
Roadmap
v1 = 22 sites. Planned: expand to 100+ sites, add per-industry indices, re-run quarterly to track the web's agentic readiness over time. To suggest a site or contribute a re-run, open a discussion.
Author
Rahul Kumar (@4AMKarmYogi) — AI Researcher & Founder, Incrementors. AI SEO · GEO · applied LLMs · AI automation. incrementors.com · linkedin.com/in/rahulaimarketing · researchgate.net/profile/Rahul-Kumar-543
- Downloads last month
- 34