Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Mercari

mercari.com

Personal finance and money appsBanking

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
716 of 2,219
its rank by overall score
Place in its category
13th of 30 personal finance apps
Closing balance

Named in

22of 60 answers

by 4 of 4 assistants

Statement note

What this means for Mercari

AI assistants name Mercari in 36.7% of answers when they are asked about the market for personal finance apps, far more often than the typical company in its sector. Its overall score is 33 out of 100, which places it 716th of 2,219 companies in the study. The website passes 2 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Mercari by name. AI assistants named it in 22 of the 60 answers. Counting only how often it is named, it ranks 4th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
33Overall score
  • Visibility28
  • Citations0
  • Sentiment65
  • Site quality60
  • AI readiness14
Summary of account
Named by AI in
36.7%
22 of 60 answers
Share of mentions
14.8%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
107 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

Mercari came up on 12 of 15 questions. Open any window to read that answer.

  1. 01Are peer-to-peer resale sites worth it for finding discounted designer brands?1/4
  2. 02Pros and cons of buying pre-owned games from an online marketplace0/4
  3. 03Average price range for popular collectibles on secondhand resale platforms2/4
  4. 04What should I do if the used item I bought online isn’t as described?1/4
  5. 05Where can I find deals on used fashion and athletic apparel online?3/4
  6. 06Best online marketplaces for buying secondhand electronics in the US1/4
  7. 07How can students use peer-to-peer resale platforms to save on clothing and electronics?2/4
  8. 08Tips for selling books quickly on an online secondhand marketplace2/4
  9. 09Where else can I shop for affordable secondhand fashion in the US?3/4
  10. 10Online classified ads vs. app-based resale marketplaces for selling collectibles—what’s better?2/4
  11. 11What are some options besides resale apps for selling gently used shoes?0/4
  12. 12Alternatives to online peer-to-peer resale sites for finding used home goods0/4
  13. 13How do shipping fees typically work on online resale marketplaces?3/4
  14. 14How to handle payment issues when selling on a peer-to-peer resale platform?1/4
  15. 15How does a local peer-to-peer resale platform compare with shipping-based resale sites?1/4
Total namedOpenAI: 7/15Claude: 8/15Perplexity: 2/15Gemini: 5/15All assistants: 22/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Claude actually said

An answer that names the company

Claudenamed the company

“How do shipping fees typically work on online resale marketplaces?”

Shipping fees on online resale marketplaces typically work in several ways:

Seller-Set Fees:

On many marketplaces like eBay and Mercari, sellers can set their own shipping fees. Sellers determine the cost based on factors like the item's weight, dimensions, destination, and shipping method. Some sellers may also add a handling fee on top of the carrier's base rate.

Flat-Rate Shipping:

Some platforms and sellers use flat-rate shipping options, where a fixed fee applies regardless of the item's actual weight or distance. This simplifies things for both buyers and sellers.

Free Shipp …

The AI’s answer as we received it, shortened and not checked for accuracy.

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    eBay
    24
  2. 02
    Facebook Marketplace
    21
  3. 03
    Poshmark
    18
  4. 04
    Depop
    13
  5. 05
    OfferUp
    7

Share of mentions

CompanyShare
  1. eBay
    24.8%
  2. Facebook Marketplace
    22.8%
  3. Poshmark
    17.4%
  4. Mercari
    14.8%
  5. Depop
    14.1%
  6. OfferUp
    6.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    nifty.ai
    6
  2. 02
    blog.vendoo.co
    6
  3. 03
    flowlister.com
    5
  4. 04
    hostinger.com
    4
  5. 05
    sellraze.com
    4
  6. 06
    nerdwallet.com
    4
  7. 07
    savingsgrove.com
    3
  8. 08
    joinbeni.com
    3
  9. 09
    shopify.com
    3
  10. 10
    litcommerce.com
    3

Mercari is in the study as a personal finance app.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
8/15
OpenAI
7/15
Gemini
5/15
Perplexity
2/15
Market comparisonSection 06

How Mercari compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
28

How often AI assistants name the company, and how that compares with its peers

Citations
0

How often AI uses the company's own website as a source

Sentiment
65

How positively AI describes the company

Site quality
60

How well built the website's own pages are

AI readiness
14

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with banking companies

394 companies in this sector. The gold tick on each bar is the typical company.

Overall score
33
Ranks 107 of 394. Typical company: 28
Named in answers
36.7%
Ranks 4 of 394. Typical company: 0.0%
AI readiness
14
Ranks 335 of 394. Typical company: 29
Against its categorySection 08

Compared with personal finance apps

30 companies in this category. The gold tick on each bar is the typical company.

Overall score
33
Ranks 13 of 30. Typical company: 29
Named in answers
36.7%
Ranks 2 of 30. Typical company: 4.2%
AI readiness
14
Ranks 25 of 30. Typical company: 29
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Can an AI agent check out here?

Not by itself. Mercari publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 87.9%
  • Link headersCould not check

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
0 of 100
  • Markdown negotiationCould not check

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 30 of 100 · 81% of checks could run · checked on October 9, 2026 · www.mercari.com · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

2 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Passedrobots.txt publishedstudy: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.txt publishedstudy: 28.1%
  • Not metToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

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ShareSection 12

Share this result

Overall score 33 of 100 badge for Mercari

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/mercari.com"><img src="https://aeo-audit.rezolve.com/finance/badges/mercari.com.svg" alt="Overall score 33 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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