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.
1,261 of 2,219
its rank by overall score
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Ericsson Mobile Financial Services

AI assistants rarely name Ericsson Mobile Financial Services, mentioning it in 1 of 60 answers. Its overall score is 27 out of 100, ranking 1,261st of 2,219 companies in the study. Its website currently passes 1 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Ericsson Mobile Financial Services by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 267th of 574 in its sector. The typical financial technology and data company is named in 1.7% 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
27Overall score
  • Visibility4
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness7
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
12.5%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
360 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

Ericsson Mobile Financial Services came up on 1 of 15 questions. Open any window to read that answer.

  1. 01What is the typical pricing model for enterprise-grade mobile banking platforms?0/4
  2. 02Alternatives to end-to-end mobile financial service platforms for telecoms0/4
  3. 03What are some non-integrated options for enterprises wanting to enable mobile payments?0/4
  4. 04Best alternatives to bundled mobile wallet and banking platforms for large organizations0/4
  5. 05Are there cost-effective mobile payment platforms for medium-sized US telecoms?0/4
  6. 06What are the top mobile financial services platforms for telecom providers looking to offer digital banking?1/4
  7. 07Is investing in an integrated mobile banking platform worth it for telecom operators?0/4
  8. 08Mobile wallet platform vs traditional banking software for telecoms: main differences0/4
  9. 09How does a full-service digital financial platform compare to standalone money transfer solutions?0/4
  10. 10Common challenges when integrating mobile financial services with existing telecom infrastructure0/4
  11. 11How can large enterprises use mobile financial services to facilitate payroll disbursements?0/4
  12. 12Best mobile payment solutions for large enterprises in the US0/4
  13. 13Ways telecom operators can leverage digital financial platforms to increase customer engagement0/4
  14. 14How to resolve failed mobile payment transactions in digital financial platforms0/4
  15. 15What should enterprises consider before choosing a mobile payments platform?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 1/60
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

“What are the top mobile financial services platforms for telecom providers looking to offer digital banking?”

The strongest shortlist for telecom providers is Ericsson Fintech Platform, 6D Technologies Aureus, Comviva mobiquity, Huawei Mobile Money, Mahindra Comviva, and Mambu—with the best choice depending on whether the goal is primarily mobile money, a full digital bank, or a white-label wallet.

Platform · Best fit · Key strengths

Ericsson Fintech Platform · Large mobile-network operators launching or scaling mobile money · Carrier-grade wallet infrastructure, mobile-money operations, payments, remittances, and support for CSPs launching their first wallet

6 …

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. Comviva (A Tech Mahindra company)
    37.5%
  2. Mahindra Comviva mobiquity® Pay
    37.5%
  3. Ericsson Mobile Financial Services
    12.5%
  4. Huawei Mobile Money Solution
    12.5%
  5. Amdocs Mobile Financial Services
    0.0%
  6. Telepin
    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
    digipay.guru
    12
  2. 02
    sourceforge.net
    11
  3. 03
    sdk.finance
    6
  4. 04
    6dtechnologies.com
    5
  5. 05
    linkedin.com
    4
  6. 06
    techtarget.com
    3
  7. 07
    stripe.com
    3
  8. 08
    worldmetrics.org
    3
  9. 09
    topbusinesssoftware.com
    3
  10. 10
    documents1.worldbank.org
    3

Ericsson Mobile Financial Services 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

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

How Ericsson Mobile Financial Services 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
4

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
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
7

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
27
Ranks 360 of 574. Typical company: 29
Named in answers
1.7%
Ranks 267 of 574. Typical company: 1.7%
AI readiness
7
Ranks 533 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
27
Ranks 184 of 315. Typical company: 28
Named in answers
1.7%
Ranks 123 of 315. Typical company: 1.7%
AI readiness
7
Ranks 293 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

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. Ericsson Mobile Financial Services 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.ericsson.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

1 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

  • Not metrobots.txt publishedstudy: 85.1%
  • Not metXML 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%
  • 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%
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