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Leaderboard›finance

Our story

hired.com
Claim this domain
Overall score
56.0Poor
—
Rank
#346
Prev: #340
finance avg
61.2
54 peers
Agent runs / week
2
Across 0 providers

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Markets
USGBCADEJPESIT
Locales
en-usen-gbfr-caen-caen-dede-deja-jpes-es
Opportunity cost · finance

Our story could be leaving ~$74,800,000 in processed value on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of account opening and transaction initiation sessions in the finance sector will be initiated or completed by AI agents[1][2]. Our story currently scores 56.0 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 processed transaction valuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
44.0 pts
Above finance avg
0.0 pts
Modelled flows at risk
$74,800,000

Estimate assumes a $500M annual processed-value baseline. Claim your domain to replace this placeholder with your reported processed value.

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?
40
DiscoveryWill they pick you?
50
Information retrievalCan they read your site?
85
Market rankingWhere do you sit in the lineup?
25
AccuracyDo they tell the truth about you?
60
Task completionCan an agent complete a task on behalf of a user?
45
Delegated accessDo you let agents in, safely?
100
Contact & communicationCan an agent reach a human?
45

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.
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.
mediumDiscovery
No robots.txt. Agents fall back to defaults and may miss crawl hints.
mediumDiscovery
No sitemap.xml. Agents can’t enumerate indexable pages.
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.
highAccuracy
Brand name not present in server-rendered HTML. Non-JS agents may not associate the domain with the product.
mediumTask completion
No visible primary call-to-action in the server-rendered HTML. Agents have nothing concrete to click on behalf of a user.
lowTask completion
No server-rendered form detected. Agents without JavaScript can’t submit anything.
mediumTask completion
No mention of delegated auth primitives (passkey, OAuth, MCP). Agents must drive a full browser session.
mediumContact & communication
No contact email visible in server-rendered HTML. Agents can’t fall back to email.