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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

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