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

Backbase

backbase.com

Banking and fintech infrastructureFinancial technology and data

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
85 of 2,219
its rank by overall score
Place in its category
14th of 315 fintech infrastructure companies
Closing balance

Named in

6of 60 answers

by 4 of 4 assistants

Statement note

What this means for Backbase

AI assistants name this fintech infrastructure company in 10% of answers, which is more frequent than the typical company in its sector at 1.7%. It has an overall score of 44 out of 100, ranking 85th of 2,219 companies overall and 25th of 574 in its sector. Its website passes 6 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Backbase by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 118th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
44Overall score
  • Visibility14
  • Citations21
  • Sentiment90
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
25.0%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
25 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Backbase came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Popular use cases for AI agents within banking operating systems0/4
  2. 02Conversational banking platforms vs. unified banking operating systems: key differences0/4
  3. 03How can financial institutions resolve customer service disruptions during a digital banking upgrade?0/4
  4. 04Common issues banks face when integrating banking operating systems with legacy software0/4
  5. 05How does an AI-native banking OS compare to traditional digital banking suites?0/4
  6. 06What are some alternatives to unified AI-powered banking operating systems?0/4
  7. 07Most important customer experience improvements in modern banking operating systems1/4
  8. 08Best unified digital banking platforms for enhancing both customer and employee experience4/4
  9. 09What should banks consider before switching to an AI-powered banking operating system?0/4
  10. 10How can unified banking platforms streamline onboarding and account opening?0/4
  11. 11Options for banks looking to enhance digital channels without a full operating system upgrade0/4
  12. 12Are there any low-cost options for digital banking operating systems for community banks?0/4
  13. 13What are the top features to look for in an AI-native banking operating system for mid-sized banks?0/4
  14. 14Is investing in a unified banking operating system worth it for regional financial institutions?0/4
  15. 15What factors influence the price of AI-native banking operating systems in the US?1/4
Total namedOpenAI: 1/15Claude: 2/15Perplexity: 1/15Gemini: 2/15All assistants: 6/60
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

“Best unified digital banking platforms for enhancing both customer and employee experience”

The strongest unified digital banking platforms for improving both customer and employee experience are Backbase, FIS Digital One, Temenos, Q2, nCino, and SBS Digital Banking Suite. The best choice depends on whether the priority is retail experience, commercial banking, core modernization, or employee-assisted service.

Platform · Best fit · Why it stands out

Backbase · Retail and universal banks pursuing experience-led transformation · Unifies customer, employee, and AI-agent workflows within one operating model, supporting consistent journeys across channels. …

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
    nCino
    4
  2. 02
    Temenos
    4
  3. 03
    Q2
    2
  4. 04
    FIS Digital One
    1

Share of mentions

CompanyShare
  1. Backbase
    25.0%
  2. Temenos
    25.0%
  3. nCino
    16.7%
  4. Q2
    16.7%
  5. Fiserv Digital Banking Solutions
    12.5%
  6. FIS Digital One
    4.2%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    backbase.com (its own website)
    53
  2. 02
    mckinsey.com
    8
  3. 03
    deloitte.com
    7
  4. 04
    guideflow.com
    6
  5. 05
    gartner.com
    6
  6. 06
    theasianbanker.com
    4
  7. 07
    fisglobal.com
    4
  8. 08
    ncino.com
    3
  9. 09
    kitrum.com
    3
  10. 10
    sourceforge.net
    3

Backbase is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Backbase 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
14

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

Citations
21

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

Sentiment
90

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
43

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
44
Ranks 25 of 574. Typical company: 29
Named in answers
10.0%
Ranks 118 of 574. Typical company: 1.7%
AI readiness
43
Ranks 29 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
44
Ranks 12 of 315. Typical company: 28
Named in answers
10.0%
Ranks 47 of 315. Typical company: 1.7%
AI readiness
43
Ranks 17 of 315. 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. Backbase 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
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
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    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 47 of 100 · 97% of checks could run · checked on October 9, 2026 · www.backbase.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

6 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

  • PassedMarkdown 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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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 44 of 100 badge for Backbase

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/backbase.com"><img src="https://aeo-audit.rezolve.com/finance/badges/backbase.com.svg" alt="Overall score 44 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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