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.
280 of 2,219
its rank by overall score
Place in its category
6th of 61 large national banks
Closing balance

Named in

22of 60 answers

by 4 of 4 assistants

Statement note

What this means for Standard Bank

AI assistants name Standard Bank in 36.7% of answers, while the typical company in its sector is named in 0%. Its overall score is 39 out of 100, ranking 280th of 2,219 companies. The website passes 1 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Standard Bank by name. AI assistants named it in 22 of the 60 answers. Counting only how often it is named, it ranks 4th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Overall score
39Overall score
  • Visibility33
  • Citations2
  • Sentiment58
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
36.7%
22 of 60 answers
Share of mentions
29.7%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
45 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

Standard Bank came up on 10 of 15 questions. Open any window to read that answer.

  1. 01What are standard international transaction costs for African multinational banks?2/4
  2. 02Differences between universal banking groups and specialized investment banks in Africa2/4
  3. 03Best banking options for US businesses investing in African infrastructure projects2/4
  4. 04Is opening a business account with an Africa-focused multinational bank worth it for US-based companies?0/4
  5. 05Alternatives to multinational banks for accessing financial services in African markets1/4
  6. 06What are the best financial service providers for supporting cross-border business in Africa?2/4
  7. 07How to resolve issues with international transactions in African financial institutions0/4
  8. 08Are multinational banks serving Africa reliable for personal wealth management?3/4
  9. 09Common challenges when transferring funds to African countries through multinational banks0/4
  10. 10Leading multinational banks that focus on African markets4/4
  11. 11Solutions for expatriates looking to manage finances between the US and Africa0/4
  12. 12How do multinational African banking groups compare to global financial institutions for business clients?3/4
  13. 13Which financial service groups offer digital banking for individuals working across the US and African countries?1/4
  14. 14Non-bank financial solutions for businesses operating in Africa0/4
  15. 15Typical fees for cross-border banking services in Africa-focused financial institutions2/4
Total namedOpenAI: 2/15Claude: 7/15Perplexity: 6/15Gemini: 7/15All assistants: 22/60
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

“Leading multinational banks that focus on African markets”

Leading multinational and pan-African banks focused on African markets include:

Standard Bank Group — Africa’s largest banking group by assets, with operations in 21 African markets and strong corporate, investment-banking, trade-finance, and China–Africa capabilities.

Ecobank Transnational Incorporated — One of the continent’s most geographically integrated banking groups, particularly strong in West and Central Africa, with pan-African payments and trade-finance operations.

United Bank for Africa (UBA) — Nigerian-based pan-African bank operating across roughly …

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
    Ecobank
    11
  2. 02
    Standard Bank Group
    6
  3. 03
    Access Bank
    4
  4. 04
    Nedbank Group
    2

Share of mentions

CompanyShare
  1. Standard Bank
    29.7%
  2. Ecobank
    24.3%
  3. Absa Group Limited
    20.3%
  4. Access Bank
    13.5%
  5. Nedbank Group
    8.1%
  6. FirstRand Group (First National Bank)
    4.1%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    gfmag.com
    14
  2. 02
    en.wikipedia.org
    10
  3. 03
    ubagroup.com
    9
  4. 04
    worldfirst.com
    8
  5. 05
    standardbank.co.za
    7
  6. 06
    documents1.worldbank.org
    6
  7. 07
    afdb.org
    5
  8. 08
    xtransfer.com
    5
  9. 09
    african.business
    5
  10. 10
    tryduplo.com
    4

Standard Bank is in the study as a large national bank.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
7/15
Gemini
7/15
Perplexity
6/15
OpenAI
2/15
Market comparisonSection 06

How Standard Bank 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
33

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

Citations
2

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

Sentiment
58

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

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 banking companies

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

Overall score
39
Ranks 45 of 394. Typical company: 28
Named in answers
36.7%
Ranks 4 of 394. Typical company: 0.0%
AI readiness
21
Ranks 199 of 394. Typical company: 29
Against its categorySection 08

Compared with large national banks

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

Overall score
39
Ranks 6 of 61. Typical company: 27
Named in answers
36.7%
Ranks 2 of 61. Typical company: 1.7%
AI readiness
21
Ranks 27 of 61. Typical company: 21
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Standard Bank 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
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it 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 16 of 100 · 97% of checks could run · checked on October 9, 2026 · www.standardbank.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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ShareSection 11

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Overall score 39 of 100 badge for Standard Bank

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/standardbank.com"><img src="https://aeo-audit.rezolve.com/finance/badges/standardbank.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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