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.
2,206 of 2,219
its rank by overall score
Place in its category
198th of 203 payment processors
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for CECOBAN

AI assistants do not name this payment processor in any of their 60 answers. Its overall score is 15 out of 100, ranking 2,206th of 2,219 companies and 370th of 375 in the Cards and payments sector. How ready the website is for AI tools could not be measured, as the website turned away the study's automated check.

We asked 15 unbranded questions about its market, so no question mentioned CECOBAN by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 179th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
15Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality33
  • AI readiness0
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
of the mentions of it and its 5 peers
AI readiness
n/a
the website turned our check away
Rank in its sector
370 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

CECOBAN came up on 0 of 15 questions. Open any window to read that answer.

  1. 01How to resolve data syncing issues between financial institution accounts using open finance solutions?0/4
  2. 02Alternatives to open finance APIs for financial institutions needing secure system connectivity0/4
  3. 03Ways regulated businesses can use open finance hubs to streamline B2B payments0/4
  4. 04Are tailored financial interconnection services worth the investment for midsize enterprises?0/4
  5. 05Top electronic business platforms for secure digital transactions in the US0/4
  6. 06How do open finance hubs compare to traditional bank integrations for real-time payments?0/4
  7. 07What are the best open finance solutions for connecting multiple financial institutions?0/4
  8. 08Most reliable methods for interconnecting with the US financial system for digital business0/4
  9. 09Do open finance solutions charge per transaction or by monthly subscription?0/4
  10. 10What options exist for businesses that want to avoid third-party digital transaction platforms?0/4
  11. 11What are typical pricing models for financial system interconnection platforms in the US?0/4
  12. 12How can digital transaction solutions enhance client onboarding for financial institutions?0/4
  13. 13Open finance APIs vs custom integrations: which is more scalable for regulated businesses?0/4
  14. 14Frequent errors in digital transaction networks: what causes them and how can we troubleshoot?0/4
  15. 15Should financial institutions consider open finance platforms for secure, large-volume transactions?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“How to resolve data syncing issues between financial institution accounts using open finance solutions?”

I'll search for current information on resolving data syncing issues with open finance solutions.Based on the latest information, here are comprehensive strategies for resolving data syncing issues between financial institution accounts using open finance solutions:

Key Syncing Challenges and Solutions

1. Ensure Data Consistency and Validation

Apply validation rules that flag inconsistencies before they propagate across systems to prevent sync errors from compounding. Real-time reconciliation and variance detection surfaces issues the moment they appear, and running regular data a …

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.

Named instead

CompanyTimes named
  1. 01
    Plaid
    7
  2. 02
    Akoya
    5
  3. 03
    MX
    2

Share of mentions

CompanyShare
  1. Plaid
    30.8%
  2. Akoya
    30.8%
  3. MX
    19.2%
  4. Finicity (Mastercard)
    11.5%
  5. Yodlee (Envestnet)
    7.7%
  6. CECOBAN
    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
    sourceforge.net
    13
  2. 02
    mastercard.com
    7
  3. 03
    stripe.com
    7
  4. 04
    wise.com
    5
  5. 05
    openbankingtracker.com
    5
  6. 06
    connectpay.com
    4
  7. 07
    oecd.org
    4
  8. 08
    developer.mastercard.com
    4
  9. 09
    akoya.com
    3
  10. 10
    bis.org
    3

CECOBAN is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 06

How CECOBAN 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
0

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
50

How positively AI describes the company

Site quality
33

How well built the website's own pages are

AI readiness
0

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 cards and payments companies

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

Overall score
15
Ranks 370 of 375. Typical company: 27
Named in answers
0.0%
Ranks 179 of 375. Typical company: 0.0%
AI readiness
0
Ranks 363 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
15
Ranks 198 of 203. Typical company: 27
Named in answers
0.0%
Ranks 91 of 203. Typical company: 0.0%
AI readiness
0
Ranks 192 of 203. Typical company: 29
AI readinessSection 09

The checks behind the AI readiness score

AI readiness could not be measured. The website turned away our automated check, so none of the 14 checks could run. That reflects the website’s rules for automated visitors, not what the website contains.

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