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4AMKarmYogi
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agentic-readiness-index

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seo
geo
generative-engine-optimization
ai-agents
agentic-web
webmcp
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Add Agentic Readiness Index v1 (22 sites, June 2026)

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  1. README.md +95 -0
  2. agentic_readiness_index.csv +23 -0
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ pretty_name: Agentic Readiness Index
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+ tags:
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+ - seo
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+ - geo
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+ - generative-engine-optimization
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+ - ai-agents
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+ - agentic-web
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+ - webmcp
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+ - llms-txt
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+ - lighthouse
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+ - web-standards
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: default
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+ data_files: "agentic_readiness_index.csv"
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+ ---
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+
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+ # The Agentic Readiness Index
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+
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+ **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).
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+
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+ Maintained by **Rahul Kumar** (AI Researcher & Founder, Incrementors). Open data, CC BY 4.0. Contributions and re-runs welcome.
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+
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+ ## Why this exists
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+ 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.
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+
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+ ## How it's measured (fully reproducible)
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+ Google Lighthouse 13.3.0, experimental `agentic-browsing` category, one command per site:
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+
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+ ```
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+ npx lighthouse@13.3.0 <url> --only-categories=agentic-browsing --chrome-flags="--headless --no-sandbox"
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+ ```
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+
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+ The overall **agentic_score** is a pass-ratio across checks that map to what an agent must do:
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+
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+ | Capability | Check column | Meaning |
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+ |---|---|---|
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+ | Read | `accessibility_tree` | Is the machine-readable structure well-formed |
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+ | Understand | `llms_txt` | Valid `llms.txt` telling AI what the site is |
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+ | Act | `webmcp` | Browser-side WebMCP tools registered |
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+ | Trust | `cumulative_layout_shift` | Layout stable, not a moving target |
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+
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+ `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.
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+
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+ ## Columns
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+ `rank`, `tier` (ai-native / big-brand / pub-saas / smb), `site`, `url`, `agentic_score`, `accessibility_tree`, `cumulative_layout_shift`, `llms_txt`, `webmcp`.
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+
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+ ## Key findings (v1, 22 sites, June 2026)
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+ - Median score **0.50**; mean 0.55. Even leading sites are half-ready at best.
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+ - **0 of 22** registered browser-side WebMCP — the "act" layer is essentially unbuilt.
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+ - **68%** failed the accessibility-tree (read) check.
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+ - Only **23%** served a valid `llms.txt`.
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+ - **82%** passed layout stability — the human-era metric the industry already optimizes.
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+ - **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.
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+
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+ ## Leaderboard (v1, June 2026)
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+
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+ | Rank | Site | Score | Read (a11y) | Trust (CLS) | Understand (llms.txt) | Act (WebMCP) |
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+ |---|---|---|---|---|---|---|
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+ | 1 | OpenAI | 1.0 | PASS | PASS | NA | NA |
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+ | 2 | Stripe | 1.0 | PASS | PASS | PASS | NA |
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+ | 3 | Target | 1.0 | PASS | PASS | PASS | NA |
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+ | 4 | Vercel | 0.67 | FAIL | PASS | PASS | NA |
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+ | 5 | Notion | 0.67 | PASS | PASS | FAIL | NA |
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+ | 6 | Shopify | 0.67 | FAIL | PASS | PASS | NA |
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+ | 7 | Kaire & Heffernan | 0.67 | PASS | PASS | FAIL | NA |
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+ | 8 | isaWOW | 0.67 | FAIL | PASS | PASS | NA |
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+ | 9 | Incrementors | 0.67 | PASS | PASS | FAIL | NA |
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+ | 10 | Nike | 0.52 | PASS | FAIL | NA | NA |
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+ | 11 | Perplexity | 0.50 | FAIL | PASS | NA | NA |
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+ | 12 | Apple | 0.50 | FAIL | PASS | NA | NA |
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+ | 13 | Coca-Cola | 0.50 | FAIL | PASS | NA | NA |
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+ | 14 | New York Times | 0.50 | FAIL | PASS | NA | NA |
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+ | 15 | Glo Medspa | 0.50 | FAIL | PASS | NA | NA |
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+ | 16 | Emerald Pools | 0.50 | FAIL | FAIL | NA | NA |
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+ | 17 | Anthropic | 0.33 | FAIL | PASS | FAIL | NA |
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+ | 18 | Cursor | 0.33 | FAIL | PASS | FAIL | NA |
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+ | 19 | Walmart | 0.33 | FAIL | PASS | FAIL | NA |
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+ | 20 | Arch Dental | 0.33 | FAIL | PASS | FAIL | NA |
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+ | 21 | HubSpot | 0.19 | FAIL | FAIL | FAIL | NA |
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+ | 22 | Salesforce | 0.10 | FAIL | FAIL | NA | NA |
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+
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+ ## Citation
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+ > 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
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+
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+ ## Roadmap
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+ 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.
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+
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+ ## Author
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+ 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
agentic_readiness_index.csv ADDED
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+ rank,tier,site,url,agentic_score,accessibility_tree,cumulative_layout_shift,llms_txt,webmcp
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+ 1,ai-native,openai,https://openai.com,1.0,PASS,PASS,NA,NA
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+ 2,ai-native,stripe,https://stripe.com,1.0,PASS,PASS,PASS,NA
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+ 3,big-brand,target,https://www.target.com,1.0,PASS,PASS,PASS,NA
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+ 4,ai-native,vercel,https://vercel.com,0.67,FAIL,PASS,PASS,NA
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+ 5,pub-saas,notion,https://www.notion.so,0.67,PASS,PASS,FAIL,NA
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+ 6,pub-saas,shopify,https://www.shopify.com,0.67,FAIL,PASS,PASS,NA
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+ 7,smb,kaire,https://kairelaw.com,0.67,PASS,PASS,FAIL,NA
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+ 8,smb,isawow,https://isawow.com,0.67,FAIL,PASS,PASS,NA
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+ 9,smb,incrementors,https://www.incrementors.com,0.67,PASS,PASS,FAIL,NA
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+ 10,big-brand,nike,https://www.nike.com,0.52,PASS,FAIL,NA,NA
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+ 11,ai-native,perplexity,https://www.perplexity.ai,0.5,FAIL,PASS,NA,NA
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+ 12,big-brand,apple,https://www.apple.com,0.5,FAIL,PASS,NA,NA
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+ 13,big-brand,cocacola,https://www.coca-cola.com,0.5,FAIL,PASS,NA,NA
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+ 14,pub-saas,nytimes,https://www.nytimes.com,0.5,FAIL,PASS,NA,NA
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+ 15,smb,glomedspa,https://glomedspas.com,0.5,FAIL,PASS,NA,NA
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+ 16,smb,emeraldpool,https://emeraldpoolandspa.com,0.5,FAIL,FAIL,NA,NA
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+ 17,ai-native,anthropic,https://www.anthropic.com,0.33,FAIL,PASS,FAIL,NA
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+ 18,ai-native,cursor,https://cursor.com,0.33,FAIL,PASS,FAIL,NA
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+ 19,big-brand,walmart,https://www.walmart.com,0.33,FAIL,PASS,FAIL,NA
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+ 20,smb,archdental,https://arch-dental.ca,0.33,FAIL,PASS,FAIL,NA
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+ 21,pub-saas,hubspot,https://www.hubspot.com,0.19,FAIL,FAIL,FAIL,NA
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+ 22,pub-saas,salesforce,https://www.salesforce.com,0.1,FAIL,FAIL,NA,NA