/ Index
Sign in
Leaderboard›travel

Book flights with Virgin Atlantic

virginatlantic.com
Claim this domain
Overall score
52.0Poor
—
Rank
#384
Prev: #304
travel avg
62.7
21 peers
Agent runs / week
2
Across 1 providers

Hello you. Welcome to Virgin Atlantic. Find our best fares on your next flights to the US and beyond, with a fantastic choice of food, drinks, award winning entertainment and onboard WiFi.

Locales
en
Opportunity cost · travel

Book flights with Virgin Atlantic could be leaving ~$13,056,000 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]. Book flights with Virgin Atlantic currently scores 52.0 on the Stunt Double Index[3], with a 48-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
48.0 pts
Above travel avg
0.0 pts
Modelled bookings at risk
$13,056,000

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?
55
DiscoveryWill they pick you?
50
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
35
AccuracyDo they tell the truth about you?
70
Task completionCan an agent complete a task on behalf of a user?
55
Delegated accessDo you let agents in, safely?
12
Contact & communicationCan an agent reach a human?
20

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
Claude
Anthropic
0.0
ChatGPT Agent
OpenAI
100.0
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.
lowBrand awareness
Missing Open Graph tags. Link previews degrade in agent chats.
mediumDiscovery
No sitemap.xml. Agents can’t enumerate indexable pages.
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.
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 visible primary call-to-action in the server-rendered HTML. Agents have nothing concrete to click on behalf of a user.
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.
highContact & communication
No contact page linked or reachable. Agents acting on a user’s behalf have nowhere to send a message.
mediumContact & communication
No contact email visible in server-rendered HTML. Agents can’t fall back to email.