Auchan

Name: Auchan AI agent readiness scorecard
Item: Auchan
Rating: 72.1
Author: Stunt Double

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auchan.fr
MarketFR
Localefr

Agent score1.8

/100Good

Claim this domain

RankRank: Top 74%; #410
E-commerce rankE-commerce rank: Sector average 74.0; #20
Benchmark runsBenchmark runs: 3 providersAcross 3 providers; 5

Where this site sits

E-commerce avg: 74.0 (−1.9)
Market avg: 76.7 (−4.6)

Latest results

Auchan ranks #410 of 550 scored sites, down 56 places since the last run.

Trend-5.7Since 14 May 2026, across 3 runs.Best agent92.9 ExcellentClaude. Gemini trails at 92.9.Agent friction14improvements4 high severity. Most serious: Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.Technical readiness54/1003 of 5 essential checks failing.Checks by Is Agentic

This site
E-commerce
Market

Table view

Run	This site	E-commerce median	Market median
12 Oct 2026	72.1	76.9	79.8
28 Sept 2026	70.3	75.6	76.4
14 May 2026	77.8	81.5	82.0

Monthly medians. Dates in UTC.

Performance

Site checks, then AI agents on real tasks.

Methodology

Automated checks probe the site before any agent runs. They count for 40% of each category. Strongest is Accuracy at 90.0, weakest is Market ranking at 15.0.

Site checks by category

Brand awareness: 50.0
Discovery: 83.0
Information retrieval: 77.0
Market ranking: 15.0
Accuracy: 90.0
Task completion: 50.0
Contact & communication: 50.0

01 Site checks

Points by category

Brand awareness50.0
Discovery83.0
Information retrieval77.0
Market ranking15.0
Accuracy90.0
Task completion50.0
Contact & communication50.0

Agent readiness checks

Essential: 45.3/80
Recommended: 7.7/20
Checks passing: 4/13

Markdown content negotiation (acceptmarkdown.com)Essential
Agent instruction / when-to-useRecommended
Organization schema completenessRecommended
Trust anchor pagesRecommended
Content without JavaScriptEssential

02 Agent sessions

Brand awareness

Brand awareness
19s
96median 75
Brand awareness
48s
96median 75
Brand awareness
26s
96median 75

Discovery

Discovery
1m 3s
43median 45
Discovery
2m 18s
43median 45
Discovery
3m 28s
43median 45

Information retrieval

Information retrieval
2m 8s
58median 54
Information retrieval
2m 29s
32median 54

Market ranking

Market ranking
19s
60median 78
Market ranking
22s
69median 78
Market ranking
1m 4s
58median 78

Accuracy

Accuracy
2m 4s
32median 58
Accuracy
4m 11s
32median 58

Task completion

Task completion
3m 3s
88median 57
Task completion
3m 10s
81median 57
Task completion
4m 3s
70median 57

Contact & communication

Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
2m 11s
96median 86
Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
4m 4s
89median 86
Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
4m 29s
76median 86

03 Blend

Agents 60%
Checks 40%

One kind of evidence only? That kind counts in full.

Brand awareness11% of the overall
0.4 × 50.0 + 0.6 × 92.0 = 75.2 raw
75.2 raw → 88.0 published
Discovery17% of the overall
0.4 × 83.0 + 0.6 × 15.0 = 42.2 raw
42.2 raw → 67.8 published
Information retrieval17% of the overall
0.4 × 77.0 + 0.6 × 19.0 = 42.2 raw
42.2 raw → 67.8 published
Market ranking11% of the overall
0.4 × 15.0 + 0.6 × 35.3 = 27.2 raw
27.2 raw → 55.7 published
Accuracy17% of the overall
0.4 × 90.0 + 0.6 × 8.0 = 40.8 raw
40.8 raw → 66.8 published
Task completion22% of the overall
0.4 × 50.0 + 0.6 × 60.7 = 56.4 raw
56.4 raw → 77.3 published
Contact & communication6% of the overall
0.4 × 50.0 + 0.6 × 75.0 = 65.0 raw
65.0 raw → 82.4 published

Category	Weight	Checks	Sessions	Blend	Benchmarked
Brand awareness	10%	50.0	92.0	75.2	88.0
Discovery	15%	83.0	15.0	42.2	67.8
Information retrieval	15%	77.0	19.0	42.2	67.8
Market ranking	10%	15.0	35.3	27.2	55.7
Accuracy	15%	90.0	8.0	40.8	66.8
Task completion	20%	50.0	60.7	56.4	77.3
Delegated access	10%	N/A
Contact & communication	5%	50.0	75.0	65.0	82.4
Overall	100%			~48.4	72.1

04 Benchmarked score

48.4 raw → 72.1

Final score is calibrated and adjusted to better reflect the actual performance and benchmark.

Category weights

Brand awareness 11%
Discovery 17%
Information retrieval 17%
Market ranking 11%
Accuracy 17%
Task completion 22%
Contact & communication 6%

Overall 72.1, from 48.4 raw points.

1 category does not apply to this site and is left out.

Agents

Each agent’s score over 30 days, and how its latest sessions went.

Claude
Latest run average
72.6
E-commerce median
100.0
Sessions
- Brand awareness
  19s
  96median 75
- Discovery
  1m 3s
  43median 45
- Information retrieval
  2m 8s
  58median 54
- Market ranking
  19s
  60median 78
- Accuracy
  2m 4s
  32median 58
- Task completion
  3m 3s
  88median 57
- Contact & communication
  Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
  Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
  2m 11s
  96median 86
ChatGPT Agent
Latest run average
78.4
E-commerce median
100.0
Sessions
- Brand awareness
  48s
  96median 75
- Discovery
  2m 18s
  43median 45
- Market ranking
  22s
  69median 78
- Task completion
  3m 10s
  81median 57
- Contact & communication
  Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
  Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
  4m 4s
  89median 86
Gemini
Latest run average
63.2
E-commerce median
100.0
Sessions
- Brand awareness
  26s
  96median 75
- Discovery
  3m 28s
  43median 45
- Information retrieval
  2m 29s
  32median 54
- Market ranking
  1m 4s
  58median 78
- Accuracy
  4m 11s
  32median 58
- Task completion
  4m 3s
  70median 57
- Contact & communication
  Find how to request a return and what the eligibility conditions are (timeframe, item condition, exceptions).
  Found the path to initiate a return (50pts). Extracted the eligibility conditions including timeframe and any exceptions (50pts). Deduct 20pts for each dead end or missing condition.
  4m 29s
  76median 86

Excellent85+
Good72-84
OK58-71
Poor40-57
Critical<40

Latest run 12 Oct 2026 (UTC). Sign in to request a re-run, once a day.

Potential improvements

Fix where agents got stuck, then lift your biggest categories.

HighTask completion

Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.

HTTP 200 + DataDome headers

Biggest wins

Projected

Lifting Task completion to Excellent adds about +2.0 on its own, taking the overall from 72.1 to 74.1.

Raise Task completion from 77.3 to 85 (Excellent) to add about 2.0 to the overall score.
Raise Accuracy from 66.8 to 72 (Good) to add about 0.9 to the overall score.
Raise Discovery from 67.8 to 72 (Good) to add about 0.7 to the overall score.

Each gain assumes only that category improves. Fix several and the total lands a little under their sum.

Where agents get stuck

14 improvements from the latest run, 4 of them high severity.

High: 4
Medium: 6
Low: 4

HighTask completion
Homepage returns a bot-challenge / CAPTCHA. Agents can’t complete a task if they can’t load the site.
HighTask completion
Claude hits a bot-challenge page on the homepage.
HighTask completion
ChatGPT Agent hits a bot-challenge page on the homepage.

11 more, and the evidence for each

Want to find these in your own flows before an agent does? Read how to test your product for AI agent users.

Technical readiness

3 of 5 essential checks fail. These are the files and signals agents read before they act.

Checks by Is Agentic

Score

54/ 100

Important blockers remain

Essential: 2 of 5 pass
Recommended: 2 of 8 pass
Bonus: +1.4 from 6 positive signals

Investigate

Markdown content negotiation (acceptmarkdown.com)essential

Investigate

Agent instruction / when-to-userecommended

Investigate

Organization schema completenessrecommended

13 checks · scanned 9 Oct 2026

Technical readiness

Protocol baseline by Is Agentic

Score: 54/ 100; Important blockers remain
Essential: 45.3/ 80; 2 of 5 passing
Recommended: 7.7/ 20; 2 of 8 passing
Bonus: +1.4; 6 positive signals

Investigate

Markdown content negotiation (acceptmarkdown.com)essential

Homepage https://auchan.fr does not meet the Markdown negotiation requirements: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "accept-encoding")

Fix: Enable Markdown negotiation on the scanned homepage. Supporting it only on /docs or a separate .md URL does not satisfy this check. Requests with Accept: text/markdown must receive a nonempty Markdown body with Content-Type: text/markdown and Vary: Accept. Keep serving HTML for Accept: text/html. Adding Vary alone does not create a Markdown response. Verify both with `curl -sS -L -i -H 'Accept: text/markdown' https://yourdomain.com/` and `curl -sS -L -i -H 'Accept: text/html' https://yourdomain.com/`. Check the final response headers and body: Markdown with Vary: Accept for the first request, HTML for the second.

Investigate

Agent instruction / when-to-userecommended

No agent instruction file with when-to-use guidance found

Fix: Tell agents when to reach for you: add a 'when to use this' section to your llms.txt (or a dedicated agent-instructions file) that names your best-fit use cases and how an agent should call you. Be specific about the jobs you are right for - generic marketing copy does not read as guidance.

Investigate

Organization schema completenessrecommended

No Organization type found in JSON-LD

Fix: Add Organization JSON-LD that includes both contactPoint (with email/phone and contactType) and address (PostalAddress). This lets AI verify your business legitimacy and answer contact queries.

Investigate

Trust anchor pagesrecommended

No trust anchor pages found with sufficient content (About, Contact, Privacy)

Fix: Publish real /about, /contact, and /privacy pages with at least 500 characters of content each. These are the pages AI agents check to verify your business is legitimate before recommending you.

Partial

Content without JavaScriptessential

790 chars of readable text, but no H1 tag

Fix: Serve at least 500 characters of meaningful homepage content in raw HTML. Add a clear H1, keep deeper heading levels sequential, and remove excessive non-content markup.

Partial

Agent-friendly 404sessential

The nonexistent path https://auchan.fr/__ora-404-probe-p3te48mt correctly returns HTTP 404. Partial credit: no Markdown error body was detected.

Fix: Keep the correct HTTP 404 status. The remaining requirement is a Markdown error body when agents request Accept: text/markdown. Include at least 20 characters explaining the error and a link to your docs, sitemap, or llms.txt. Verify with `curl -sS -L -i -H 'Accept: text/markdown' https://yourdomain.com/some-path-that-does-not-exist`. Check both the final 404 status and the Markdown body with Content-Type: text/markdown. Checking the status alone does not verify the missing requirement.

Partial

JSON-LD structured datarecommended

JSON-LD found (2 block(s)) but no identity type - use SoftwareApplication, Product, Organization, Person, or Article so agents can tell what this site is

Fix: Add JSON-LD structured data to your homepage using the identity type that matches your site - SoftwareApplication for products, Organization or LocalBusiness for companies, Person for personal sites, Article for blogs - with name, description, url, and type-appropriate fields (offers, sameAs, author) so AI can parse your identity programmatically.

Partial

Brand name discoverabilityrecommended

auchan.fr ranks #10 for "auchan" (searched your brand name alone: no main product term from your homepage qualified)

Fix: Make sure your own domain ranks in the top results when people search your brand together with your main product (for example "Acme payments API"). If it does not, your brand may be too generic, conflict with a more established term, or not yet indexed. Strengthen it by describing your main product clearly in your homepage title and headings, earning press mentions that link to your domain, and avoiding redirect chains that mask your main domain in search results.

Partial

Metadata completenessrecommended

2/4 metadata signals present - missing: og:image, og:type

Fix: Add all four signals to your homepage: <link rel="canonical">, <html lang="...">, <meta property="og:image">, and <meta property="og:type">. Agents use these for entity resolution and attribution.

13 checks · scanned 9 Oct 2026

Opportunity cost · e-commerce

Auchan could see ~$4,743,000 of revenue exposed to agent-led journeys each year

Gap to leader: 27.9 pts
Below e-commerce avg: 4.6 pts
Modeled revenue at risk: $4,743,000

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Auchan

By category

Points by category

Agent readiness checks

Brand awareness

Discovery

Information retrieval

Market ranking

Accuracy

Task completion

Contact & communication

Category weights

Agents

Sessions

Sessions

Sessions

Auchan could see ~$4,743,000 of revenue exposed to agent-led journeys each year

Show visitors your Good agent score

Ask your agent about auchan.fr