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
September 23 to 30, 2026
when the AI assistants were asked
Account no.
821 of 2,219
its rank by overall score
Closing balance

Named in

3of 60 answers

by 2 of 4 assistants

Statement note

What this means for Broadridge Financial Solutions

AI assistants name Broadridge Financial Solutions in 5% of answers, more often than the typical company in its sector at 1.7%. Its overall score is 31 out of 100, which ranks it 821st of 2,219 companies. Its website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Broadridge Financial Solutions by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 192nd of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
31Overall score
  • Visibility12
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
37.5%
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
237 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

Broadridge Financial Solutions came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Pros and cons of cloud-based vs. on-premises financial tech infrastructure0/4
  2. 02Ways financial firms can streamline regulatory reporting using fintech solutions0/4
  3. 03What factors affect the cost of advanced financial service technologies in the US?0/4
  4. 04Alternatives to comprehensive financial technology providers for investor communications0/4
  5. 05What are the top financial technology platforms for institutional investing in the US?1/4
  6. 06Is investing in a comprehensive financial technology suite worth it for midsize asset managers?0/4
  7. 07How do subscription fees for financial technology platforms typically work?0/4
  8. 08How to overcome data integration problems in financial technology adoption0/4
  9. 09What are some options besides end-to-end fintech platforms for governance solutions?0/4
  10. 10Other ways to access digital asset infrastructure without full-scale platform adoption0/4
  11. 11Who benefits most from using integrated digital asset infrastructure solutions?0/4
  12. 12Common issues when implementing tokenization platforms for institutional clients0/4
  13. 13How can retirement portfolio managers leverage collective investment trust modeling software?1/4
  14. 14How do governance technology tools compare to pure investment management platforms?0/4
  15. 15Best solutions for improving digital communications with investors in financial services1/4
Total namedOpenAI: 2/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 3/60
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

“How can retirement portfolio managers leverage collective investment trust modeling software?”

… A common workflow is: define the model, select underlying CITs or other funds, assign the model to a plan or participant segment, and let the software handle ongoing valuation, trading, and rebalancing through the trustee or custodian framework. Broadridge’s description of ModelTool(k)it specifically says it supports model portfolios based on mutual funds, ETFs, and CITs, and enables plan-level unitization.

For retirement portfolio managers, the main benefits are efficiency, consistency, lower operating complexity, and the ability to deliver participant-aligned models …

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
    Envestnet
    2
  2. 02
    Fiserv
    1
  3. 03
    SS&C Technologies
    1

Share of mentions

CompanyShare
  1. Broadridge Financial Solutions
    37.5%
  2. Envestnet
    37.5%
  3. Fiserv
    12.5%
  4. SS&C Technologies
    12.5%
  5. Fis Global
    0.0%
  6. DTCC (Depository Trust & Clearing Corporation)
    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
    broadridge.com (its own website)
    11
  2. 02
    deloitte.com
    11
  3. 03
    qubit.capital
    8
  4. 04
    fintech.global
    8
  5. 05
    mckinsey.com
    6
  6. 06
    globalbankingandfinance.com
    6
  7. 07
    dfinsolutions.com
    6
  8. 08
    pwc.com
    5
  9. 09
    investmentnews.com
    5
  10. 10
    blackrock.com
    5

Broadridge Financial Solutions 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

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

How Broadridge Financial Solutions 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
12

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
50

How positively AI describes the company

Site quality
80

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
31
Ranks 237 of 574. Typical company: 29
Named in answers
5.0%
Ranks 192 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 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
31
Ranks 104 of 315. Typical company: 28
Named in answers
5.0%
Ranks 85 of 315. Typical company: 1.7%
AI readiness
29
Ranks 117 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. Broadridge Financial Solutions 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
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.broadridge.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%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown 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

  • 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 31 of 100 badge for Broadridge Financial Solutions

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<a href="https://aeo-audit.rezolve.com/us/finance/broadridge.com"><img src="https://aeo-audit.rezolve.com/finance/badges/broadridge.com.svg" alt="Overall score 31 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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