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JetBlue

jetblue.com
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Overall score
55.5Poor
—
Rank
#353
Prev: #348
travel avg
62.7
21 peers
Agent runs / week
3
Across 0 providers

You don’t have to wing it with cheap flights. JetBlue gives you low fares with the most legroom in coach, free wi-fi, free live TV & movies, and more. Book now.

Locales
en
Opportunity cost · travel

JetBlue could be leaving ~$12,104,000 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]. JetBlue currently scores 55.5 on the Stunt Double Index[3], with a 45-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
44.5 pts
Above travel avg
0.0 pts
Modelled bookings at risk
$12,104,000

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?
80
DiscoveryWill they pick you?
55
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
15
AccuracyDo they tell the truth about you?
65
Task completionCan an agent complete a task on behalf of a user?
80
Delegated accessDo you let agents in, safely?
0
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
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.
lowDiscovery
No canonical URL. Agents may conflate duplicate pages as separate entities.
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".
lowAccuracy
No canonical URL. Agents may cite ephemeral query-string variants.
mediumAccuracy
No JSON-LD at all. Every factual claim must be inferred from prose.
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.
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.