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読売新聞

yomiuri.co.jp
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Overall score
55.7Poor
—
Rank
#349
Prev: #0
media avg
60.0
82 peers
Agent runs / week
1
Across 1 providers

【読売新聞】読売新聞オンラインは読売新聞のニュース・情報サイト。社会、スポーツ、政治、経済、国際などの最新ニュースや教育、医療などの読み物、映像ニュースも充実。ポケモン、発言小町、クーポンやプレゼントも。2019年2月にYOMIURI ONLINEからサイト名を変更しました。

Markets
JP
Locales
ja
Opportunity cost · media

読売新聞 could be leaving ~$4,518,600 in subscription & ad revenue on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of content discovery and subscription sessions in the media sector will be initiated or completed by AI agents[1][2]. 読売新聞 currently scores 55.7 on the Stunt Double Index[3], with a 44-point gap to the ideal agent experience (100). The loss figure below applies that gap to the projected agent-driven slice of a typical annual subscription & ad revenuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
44.3 pts
Above media avg
0.0 pts
Modelled revenue at risk
$4,518,600

Estimate assumes a $30M combined subscription and ad-revenue baseline. Claim your domain to replace this placeholder with your reported subscription & ad revenue.

Sources
  1. [1]Gartner (2025) — Intelligent Agents in AI Really Can Work Alone. Here’s How.
  2. [2]Adobe Analytics (2025) — Generative AI traffic to U.S. retail sites (weekly trend)
  3. [3]Stunt Double (2026) — Stunt Double Index methodology & scoring rubric

Category breakdown

Brand awarenessCan agents recognise you exist?
80
DiscoveryWill they pick you?
75
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
15
AccuracyDo they tell the truth about you?
80
Task completionCan an agent complete a task on behalf of a user?
30
Delegated accessDo you let agents in, safely?
24
Contact & communicationCan an agent reach a human?
50

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
0.0
ChatGPT Agent
OpenAI
70.0
Gemini
Google
0.0
Perplexity
Perplexity
Copilot
Microsoft
Browserbase Operator
Browserbase

Where agents get stuck

Public summary · full session replay available to verified owners
mediumBrand awareness
No Organization JSON-LD. Agents can’t tell who owns the site at a glance.
lowDiscovery
No llms.txt. You miss the emerging standard for giving agents a curated map of the site.
mediumInformation retrieval
No JSON-LD structured data. Agents must infer entities from markup.
mediumMarket ranking
No Product/Service schema on the homepage. Agents can’t easily compare offerings.
lowMarket ranking
No review or aggregateRating schema. Agents have no signal for ranking vs peers.
mediumMarket ranking
No price visible to non-JS clients. Agents may report "pricing not disclosed".
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
mediumTask completion
No visible primary call-to-action in the server-rendered HTML. Agents have nothing concrete to click on behalf of a user.
highTask completion
No reachable entry point for delegated tasks — nothing at `/pricing`, `/signup`, `/cart`, `/book`, or similar responds without auth.
mediumTask completion
No mention of delegated auth primitives (passkey, OAuth, MCP). Agents must drive a full browser session.
highDelegated access
No MCP manifest. Agents can’t auto-discover tools or delegated capabilities.
highDelegated access
No public API docs detected. Agents have no scoped way in; they must drive a browser.
mediumContact & communication
No contact email visible in server-rendered HTML. Agents can’t fall back to email.
mediumDiscovery
Claude is disallowed by robots.txt.
Evidence: Tokens checked: claudebot, claude-web, anthropic-ai
mediumDiscovery
ChatGPT Agent is disallowed by robots.txt.
Evidence: Tokens checked: gptbot, chatgpt-user, oai-searchbot
mediumDiscovery
Gemini is disallowed by robots.txt.
Evidence: Tokens checked: google-extended, googlebot
mediumDiscovery
Perplexity is disallowed by robots.txt.
Evidence: Tokens checked: perplexitybot, perplexity-user