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Accor Group

accor.com
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Overall score
73.5Good
—
Rank
#75
Prev: #74
media avg
60.0
82 peers
Agent runs / week
3
Across 0 providers

Accor is a world-leading hospitality group offering stays and experiences across more than 110 countries with over 5,800 hotels and resorts, 10,000 bars & restaurants, wellness facilities and flexible workspaces.

Locales
enx-defaultfr
Opportunity cost · media

Accor Group could be leaving ~$2,703,000 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]. Accor Group currently scores 73.5 on the Stunt Double Index[3], with a 27-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
26.5 pts
Above media avg
0.0 pts
Modelled revenue at risk
$2,703,000

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?
65
DiscoveryWill they pick you?
80
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
45
AccuracyDo they tell the truth about you?
70
Task completionCan an agent complete a task on behalf of a user?
80
Delegated accessDo you let agents in, safely?
100
Contact & communicationCan an agent reach a human?
60

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
0.0
ChatGPT Agent
OpenAI
0.0
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.
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.
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
lowAccuracy
No privacy policy linked from the homepage. Agents can’t cite policy when asked.
mediumTask completion
No mention of delegated auth primitives (passkey, OAuth, MCP). Agents must drive a full browser session.
lowDelegated access
robots.txt doesn’t mention any agent user-agents. The policy for agents is implicit.
mediumContact & communication
No contact email visible in server-rendered HTML. Agents can’t fall back to email.