Overall score
69.0OK
—
Rank
#135
Prev: #131
ecommerce avg
61.6
118 peers
Agent runs / week
3
Across 0 providers
Find the perfect handmade gift, vintage & on-trend clothes, unique jewelry, and more… lots more.
- Audience
- Consumer
- Markets
- USFIAUCADKHKIEIL
- Locales
- en-usenen-fien-auen-caen-dken-hken-ie
Opportunity cost · e-commerce
Etsy could be leaving ~$5,270,000 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]. Etsy currently scores 69.0 on the Stunt Double Index[3], with a 31-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
31.0 pts
Above e-commerce avg
0.0 pts
Modelled revenue at risk
$5,270,000
Estimate assumes a $50M annual e-commerce revenue baseline. Claim your domain to replace this placeholder with your reported revenue.
Category breakdown
Brand awarenessCan agents recognise you exist?
85
DiscoveryWill they pick you?
50
Information retrievalCan they read your site?
100
Market rankingWhere do you sit in the lineup?
35
AccuracyDo they tell the truth about you?
85
Task completionCan an agent complete a task on behalf of a user?
60
Delegated accessDo you let agents in, safely?
100
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
ChatGPT Agent
OpenAI
Gemini
Google
Perplexity
Perplexity
Copilot
Microsoft
Browserbase Operator
Browserbase
Where agents get stuck
Public summary · full session replay available to verified ownerslowBrand 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.
mediumAccuracy
No freshness headers. Agents can’t tell when content was updated.
highTask completion
Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.
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.
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.
highTask completion
Claude hits a bot-challenge page on the homepage.
highTask completion
ChatGPT Agent hits a bot-challenge page on the homepage.
highTask completion
Gemini hits a bot-challenge page on the homepage.
highTask completion
Perplexity hits a bot-challenge page on the homepage.
highTask completion
Browserbase Operator hits a bot-challenge page on the homepage.