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Banking, Geldanlage und Beratung

deutsche-bank.de
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Overall score
56.5Poor
—
Rank
#339
Prev: #333 · top 52% of 649 tracked
saas rank
#140 of 363
Sector average 41.5
Benchmark runs
3
1 domain on the index claimed by owners

Finanziell bestens aufgehoben ✓ sicheres Online-Banking ✓ flexible Kredite & Geldanlagen ✓ kompetente Beratung ➧ Jetzt informieren.

Markets
DE
Locales
de
Opportunity cost · SaaS

Banking, Geldanlage und Beratung could see ~$2,958,000 of new ARR exposed to agent-led journeys each year

Public agent-traffic forecasts suggest a growing share, modelled here at roughly 34%, of trial, signup and plan selection sessions in the SaaS sector could be initiated or completed by AI agents[1][2]. Banking, Geldanlage und Beratung currently scores 56.5 on the Index[3], leaving a 44-point gap to the ideal agent experience (100). The illustrative figure below applies that gap to the agent-driven slice of a typical annual recurring revenue baseline for this sector. It is a directional estimate, not a measured conversion rate.

Gap to leader
43.5 pts
Above SaaS avg
0.0 pts
Modelled new ARR at risk
$2,958,000

Estimate assumes a $20M ARR baseline with agent-sourced expansion. Claim your domain to replace this placeholder with your reported new ARR.

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?
100
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?
90
Task completionCan an agent complete a task on behalf of a user?
30
Delegated accessDo you let agents in, safely?
0
Contact & communicationCan an agent reach a human?
30

By agent provider

By agent provider
Session quality, 30-day rolling, N ≥ 10 per provider
ChatGPT Agent
OpenAI
0.0

Where agents get stuck

Public summary · full session replay available to verified owners
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".
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.
highTask completion
No reachable entry point for delegated tasks — nothing at `/pricing`, `/signup`, `/cart`, `/book`, or similar responds without auth.
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.