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KLM Royal Dutch Airlines

klm.com
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Overall score
62.5OK
—
Rank
#244
Prev: #246
travel avg
62.7
21 peers
Agent runs / week
3
Across 0 providers

Compare and book all KLM flights, view great last minute offers, choose your favourite seat, check in online, book hotels and all you need for your trip.

Markets
GB
Locales
en-gb
Opportunity cost · travel

KLM Royal Dutch Airlines could be leaving ~$10,200,000 in bookings on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of itinerary search and booking sessions in the travel sector will be initiated or completed by AI agents[1][2]. KLM Royal Dutch Airlines currently scores 62.5 on the Stunt Double Index[3], with a 38-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 bookings volumebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
37.5 pts
Above travel avg
0.0 pts
Modelled bookings at risk
$10,200,000

Estimate assumes an $80M annual bookings baseline. Claim your domain to replace this placeholder with your reported bookings.

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?
60
DiscoveryWill they pick you?
65
Information retrievalCan they read your site?
100
Market rankingWhere do you sit in the lineup?
15
AccuracyDo they tell the truth about you?
100
Task completionCan an agent complete a task on behalf of a user?
75
Delegated accessDo you let agents in, safely?
12
Contact & communicationCan an agent reach a human?
40

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
lowBrand awareness
Missing Open Graph tags. Link previews degrade in agent chats.
lowBrand awareness
Fewer than two social profiles linked. Agents struggle to triangulate the brand.
lowDiscovery
No llms.txt. You miss the emerging standard for giving agents a curated map of the site.
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".
highTask completion
Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.
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.
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.
lowContact & communication
No help, support, or FAQ hub linked. Agents can’t self-serve an answer before reaching out.
highTask completion
Claude hits a bot-challenge page on the homepage.
highTask completion
ChatGPT Agent hits a bot-challenge page on the homepage.
highTask completion
Gemini hits a bot-challenge page on the homepage.
highTask completion
Perplexity hits a bot-challenge page on the homepage.
highTask completion
Copilot hits a bot-challenge page on the homepage.
highTask completion
Browserbase Operator hits a bot-challenge page on the homepage.