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 and 10, 2026
when the AI assistants were asked
Account no.
643 of 2,219
its rank by overall score
Closing balance

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for Velera

AI assistants name Velera in 6.7% of answers, which is more often than the typical company in its sector at 1.7%. Velera has an overall score of 35 out of 100, ranking 643rd of 2,219 companies. Its website passes 4 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Velera by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 155th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
35Overall score
  • Visibility9
  • Citations1
  • Sentiment75
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
14.8%
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
199 of 574
by overall score, where the typical financial technology and data company scores 29

Get the full report on Velera as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

Velera came up on 4 of 15 questions. Open any window to read that answer.

  1. 01How do all-in-one fintech suites compare to standalone payments processors for financial institutions?0/4
  2. 02Which payment solutions are most effective for credit unions aiming for digital transformation?0/4
  3. 03How much do comprehensive fintech service packages for credit unions typically cost in the U.S.?0/4
  4. 04How can community banks use fintech solutions to drive member growth and loyalty?0/4
  5. 05What are the best tools for credit unions to optimize real-time payments and fraud protection?0/4
  6. 06What should financial institutions consider before choosing a new ATM network provider?0/4
  7. 07What are the best options for credit unions that want to switch from legacy payment processing systems?1/4
  8. 08How can credit unions resolve member complaints about digital payments disruptions?0/4
  9. 09Common integration challenges when deploying fintech solutions in credit unions and how to overcome them?0/4
  10. 10Are there cost-saving options for smaller credit unions seeking advanced payment technology?0/4
  11. 11What are the best integrated fintech platforms for credit unions looking to improve member engagement?1/4
  12. 12Non-traditional fintech solutions for financial institutions seeking to expand ATM access in the United States?0/4
  13. 13Is investing in a specialized credit union payments platform worth the cost for mid-sized institutions?1/4
  14. 14Alternatives to integrated fintech platforms for modernizing credit union operations?1/4
  15. 15Credit union-focused fintech platforms vs traditional banking software: what are the key differences?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 1/15Gemini: 2/15All assistants: 4/60
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

“Is investing in a specialized credit union payments platform worth the cost for mid-sized institutions?”

… For many mid-sized institutions, expanding an existing cooperative or processor relationship may be cheaper and less disruptive. Velera, for example, is a credit-union-owned payments cooperative serving more than 4,000 financial institutions; one industry sourcing recommendation is to evaluate it as the default benchmark before selecting another payments provider.

A specialist is more compelling when the incumbent has a documented product gap, poor integration, weak fraud performance, limited data access, or pricing that scales badly with transaction growth.

Bottom line: A specializ …

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.

Share of mentions

CompanyShare
  1. Fiserv (Credit Union Solutions)
    44.4%
  2. Jack Henry™ (Credit Union Solutions)
    33.3%
  3. Velera
    14.8%
  4. CO-OP Solutions
    7.4%
  5. PSCU
    0.0%
  6. CU*Answers
    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
    jackhenry.com
    16
  2. 02
    cumanagement.com
    13
  3. 03
    repay.com
    12
  4. 04
    blog.flexcutech.com
    12
  5. 05
    ncratleos.com
    10
  6. 06
    creatio.com
    7
  7. 07
    cuinsight.com
    7
  8. 08
    fiserv.com
    7
  9. 09
    pymnts.com
    7
  10. 10
    creditunionwebsolutions.com
    7

Velera is in the study as an embedded finance provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
OpenAI
1/15
Perplexity
1/15
Claude
0/15
Market comparisonSection 06

How Velera 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
9

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

Citations
1

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

Sentiment
75

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
36

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 financial technology and data companies

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

Overall score
35
Ranks 199 of 574. Typical company: 29
Named in answers
6.7%
Ranks 155 of 574. Typical company: 1.7%
AI readiness
36
Ranks 83 of 574. Typical company: 29
Against its categorySection 08

Compared with embedded finance providers

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

Overall score
35
Ranks 5 of 19. Typical company: 27
Named in answers
6.7%
Ranks 5 of 19. Typical company: 0.0%
AI readiness
36
Ranks 2 of 19. 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
Can an AI agent check out here?

Not by itself. Velera 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
77 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 headersNot met

    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 negotiationNot met

    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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · www.velera.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%
  • PassedXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.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.

Take it with you

Get the full report on Velera as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 35 of 100 badge for Velera

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/velera.com"><img src="https://aeo-audit.rezolve.com/finance/badges/velera.com.svg" alt="Overall score 35 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo