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, 2026
when the AI assistants were asked
Account no.
1,016 of 2,219
its rank by overall score
Closing balance

Named in

9of 60 answers

by 4 of 4 assistants

Statement note

What this means for London Stock Exchange

AI assistants name the London Stock Exchange in 15% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 28 out of 100, ranking 1,016th of 2,219 in the study. The website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned London Stock Exchange by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 76th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
28Overall score
  • Visibility16
  • Citations1
  • Sentiment50
  • Site quality57
  • AI readiness29
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
20.5%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
302 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

London Stock Exchange came up on 5 of 15 questions. Open any window to read that answer.

  1. 01What are the key differences between centralized and decentralized securities markets?1/4
  2. 02What can cause delays in receiving market data updates during trading hours?0/4
  3. 03Where can individual US investors access global equity markets?1/4
  4. 04Why might a trade on an international exchange not execute immediately?0/4
  5. 05How do equity markets compare to derivatives markets in terms of trading volume and accessibility?0/4
  6. 06What are typical transaction costs for US investors trading international securities?0/4
  7. 07What are the best stock exchanges for international companies looking to list shares?4/4
  8. 08How can institutional investors benefit from using global stock market services?0/4
  9. 09How do listing fees for global equity markets compare for companies?2/4
  10. 10Is listing on a major international securities exchange worth it for smaller companies?1/4
  11. 11What are common ways companies use equity markets to raise capital?0/4
  12. 12Which financial markets offer a wide range of data analysis tools for investors?0/4
  13. 13How do electronic trading platforms differ from traditional stock exchanges?0/4
  14. 14What alternatives exist to public stock exchanges for raising investment capital?0/4
  15. 15What should investors consider before accessing overseas stock markets?0/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 1/15Gemini: 4/15All assistants: 9/60
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

An answer that names the company

Claudenamed the company

“Where can individual US investors access global equity markets?”

Individual US investors have several ways to access global equity markets:

1. Stock Exchanges: US investors can directly access major international stock exchanges through their brokers:

London Stock Exchange (LSE)

Tokyo Stock Exchange

Hong Kong Stock Exchange

Shanghai Stock Exchange

Euronext (Europe)

And many others

2. American Depositary Receipts (ADRs): These are US-traded securities that represent shares in foreign companies. They trade on US exchanges (NYSE, NASDAQ) and are denominated in US dollars, making it easier to invest in foreign companies w …

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. NASDAQ
    38.6%
  2. New York Stock Exchange (NYSE)
    36.4%
  3. London Stock Exchange
    20.5%
  4. OTC Markets Group
    4.5%
  5. Cboe Global Markets
    0.0%
  6. Chicago Stock Exchange (NYSE Chicago)
    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
    resourcehub.bakermckenzie.com
    14
  2. 02
    schwab.com
    10
  3. 03
    sec.gov
    9
  4. 04
    investor.gov
    8
  5. 05
    mckinsey.com
    8
  6. 06
    international.schwab.com
    8
  7. 07
    fidelity.com
    7
  8. 08
    investopedia.com
    7
  9. 09
    en.wikipedia.org
    7
  10. 10
    jpmorgan.com
    5

London Stock Exchange is in the study as a market data company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
4/15
Claude
2/15
OpenAI
2/15
Perplexity
1/15
Market comparisonSection 06

How London Stock Exchange 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
16

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
57

How well built the website's own pages are

AI readiness
29

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
28
Ranks 302 of 574. Typical company: 29
Named in answers
15.0%
Ranks 76 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with market data companies

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

Overall score
28
Ranks 27 of 37. Typical company: 36
Named in answers
15.0%
Ranks 18 of 37. Typical company: 15.0%
AI readiness
29
Ranks 8 of 37. 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 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. London Stock Exchange 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
48 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

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

2 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%
  • 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%
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.

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ShareSection 12

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Overall score 28 of 100 badge for London Stock Exchange

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