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Leaderboard›ecommerce

OTTO

otto.de
Claim this domain
Overall score
57.5Poor
▲ 3.0
Rank
#318
Prev: #365
ecommerce avg
61.6
118 peers
Agent runs / week
3
Across 0 providers

OTTO Online-Shop » Viele Marken ✓ Tolle Angebote ✓ Top Service » Ratenkauf ✓ Kauf auf Rechnung ✓ Altgeräte-Mitnahme ✓ Aufbauservice ✓ Jetzt shoppen!

Markets
DE
Locales
de
Opportunity cost · e-commerce

OTTO could be leaving ~$7,225,000 in revenue on the table every year

Stunt Double’s 2027 agent-traffic model projects 34% of product discovery and checkout sessions in the e-commerce sector will be initiated or completed by AI agents[1][2]. OTTO currently scores 57.5 on the Stunt Double Index[3], with a 43-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 e-commerce revenuebaseline for this sector — it is a directional estimate, not a measured conversion rate.

Gap to leader
42.5 pts
Above e-commerce avg
0.0 pts
Modelled revenue at risk
$7,225,000

Estimate assumes a $50M annual e-commerce revenue baseline. Claim your domain to replace this placeholder with your reported revenue.

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?
75
DiscoveryWill they pick you?
60
Information retrievalCan they read your site?
100
Market rankingWhere do you sit in the lineup?
35
▲ 20.0
AccuracyDo they tell the truth about you?
80
Task completionCan an agent complete a task on behalf of a user?
30
Delegated accessDo you let agents in, safely?
12
Contact & communicationCan an agent reach a human?
60

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.
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.
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.
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.
lowContact & communication
No help, support, or FAQ hub linked. Agents can’t self-serve an answer before reaching out.