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.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
81 of 2,219
its rank by overall score
Closing balance

Named in

10of 60 answers

by 4 of 4 assistants

Statement note

What this means for Consumer Edge Research

AI assistants name Consumer Edge Research in 16.7% of answers, while the typical company in its sector is named in 0% of answers. Its overall score is 44 out of 100, which ranks 81st of 2,219 companies. The website passes 4 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Consumer Edge Research by name. AI assistants named it in 10 of the 60 answers. Counting only how often it is named, it ranks 23rd of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
44Overall score
  • Visibility22
  • Citations3
  • Sentiment100
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
16.7%
10 of 60 answers
Share of mentions
37.0%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
6 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Consumer Edge Research came up on 4 of 15 questions. Open any window to read that answer.

  1. 01How do consumer spending data tools support forecasting emerging market trends?0/4
  2. 02What are some alternatives to transaction data analytics for tracking consumer behavior trends?0/4
  3. 03Is investing in a consumer spending analytics platform worth it for corporate strategy teams?0/4
  4. 04Analytics from panel data sources vs transaction-based datasets: what are the main advantages and disadvantages?0/4
  5. 05What are the best consumer transaction data analytics platforms for tracking retail spending trends?2/4
  6. 06How can companies gather consumer spending insights without using a dedicated analytics platform?0/4
  7. 07What typical price ranges should institutional investors expect for consumer transaction analytics subscriptions?1/4
  8. 08Which US-based consumer intelligence platforms offer real-time global transaction data?3/4
  9. 09Why am I seeing inconsistent data in my consumer transaction analytics dashboard?0/4
  10. 10What are common applications of transaction analytics in the fast-moving consumer goods sector?0/4
  11. 11How do consumer transaction data analytics platforms differ from traditional market research tools?0/4
  12. 12Which consumer spending insight tools are most reliable for institutional investors?4/4
  13. 13How can gaps in consumer purchase datasets affect investment decision-making?0/4
  14. 14Are there cost-effective plans for startups looking to use consumer transaction insight platforms?0/4
  15. 15What features should institutional investors prioritize when choosing a consumer transaction insights provider?0/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 3/15Gemini: 4/15All assistants: 10/60
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 Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Which US-based consumer intelligence platforms offer real-time global transaction data?”

The clearest US-based platforms are:

Consumer Edge — Headquartered in New York, it provides near-real-time, anonymized consumer transaction data across five continents, including the US and major European markets. Its coverage includes online and offline spending, more than 12,000 merchants/brands, and card-based transaction feeds.

Facteus — A Portland, Oregon-based provider offering real-time or near-real-time consumer spending intelligence, transaction-level data, and dashboards. However, its publicly described transaction coverage is primarily US-focused, so it …

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
    Consumer Edge
    6
  2. 02
    YipitData
    4
  3. 03
    Earnest Analytics
    2

Share of mentions

CompanyShare
  1. Consumer Edge Research
    37.0%
  2. Affirm (SpendingPulse by Mastercard)
    22.2%
  3. Earnest Analytics
    14.8%
  4. YipitData
    14.8%
  5. NPD Group (now part of Circana)
    11.1%
  6. M Science
    0.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    consumeredge.com (its own website)
    8
  2. 02
    brightdata.com
    8
  3. 03
    facteus.com
    6
  4. 04
    datarade.ai
    6
  5. 05
    mastercard.com
    5
  6. 06
    nielseniq.com
    4
  7. 07
    cardlytics.com
    4
  8. 08
    marketintelo.com
    3
  9. 09
    tei.forrester.com
    3
  10. 10
    rankings.economy.ac
    3

Consumer Edge Research is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
4/15
Perplexity
3/15
Claude
2/15
OpenAI
1/15
Market comparisonSection 06

How Consumer Edge Research 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
22

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

Citations
3

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

Sentiment
100

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
29

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 advisory and services firms

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

Overall score
44
Ranks 6 of 346. Typical company: 27
Named in answers
16.7%
Ranks 23 of 346. Typical company: 0.0%
AI readiness
29
Ranks 96 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
44
Ranks 2 of 73. Typical company: 31
Named in answers
16.7%
Ranks 12 of 73. Typical company: 3.3%
AI readiness
29
Ranks 21 of 73. 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. Consumer Edge Research 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.txtPublished
  • 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
50 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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 38 of 100 · 92% of checks could run · checked on October 9, 2026 · consumeredge.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

4 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%
  • Not metXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken 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

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Overall score 44 of 100 badge for Consumer Edge Research

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