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.
656 of 2,219
its rank by overall score
Place in its category
14th of 74 private equity firms
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Motive Partners

AI assistants rarely name this private equity firm, mentioning it in only 1 of 60 answers. Its overall score is 35 out of 100, ranking 656th of 2,219 in the study and 62nd of 238 in its sector. The website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Motive Partners by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 98th of 238 in its sector. The typical investing and wealth company is named in 0.8% 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
35Overall score
  • Visibility5
  • Citations0
  • Sentiment100
  • Site quality67
  • AI readiness29
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
16.7%
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
62 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

Motive Partners came up on 1 of 15 questions. Open any window to read that answer.

  1. 01What are the key factors to consider when choosing a private equity firm specializing in fintech investments?0/4
  2. 02Do fintech-focused private equity firms add value beyond just providing funding?0/4
  3. 03Is partnering with a fintech-specialized private equity firm worth it for scaling a financial technology company?0/4
  4. 04Top criteria for comparing private equity firms that focus on fintech innovation in North America and Europe0/4
  5. 05What should fintech founders do if they're not getting the operational support promised by their investment partner?0/4
  6. 06Other options for operational expertise aside from partnering with a specialized private equity firm0/4
  7. 07Alternatives to private equity for fintech companies seeking growth capital0/4
  8. 08Venture capital vs. private equity for fast-growing fintech startups0/4
  9. 09What are average investment minimums for fintech-focused private equity funds in the US?0/4
  10. 10Examples of operational improvements driven by private equity involvement in the fintech industry0/4
  11. 11Best private equity funds for fintech companies seeking both capital and operational support1/4
  12. 12How can fintech companies leverage private equity partnerships for international expansion?0/4
  13. 13Common challenges when working with private equity firms in the fintech sector and how to overcome them0/4
  14. 14Typical management fees and carried interest for private equity investments in financial technology businesses0/4
  15. 15How do fintech-focused private equity firms differ from generalist private equity firms?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All 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 Gemini actually said

An answer that names the company

Gemininamed the company

“Best private equity funds for fintech companies seeking both capital and operational support”

… Motive Partners: Motive Partners is a private investment firm exclusively focused on financial technology and technology-enabled business services companies, ranging from early-stage ventures to more mature businesses. They emphasize their operational capabilities and extensive fintech ecosystem.

LLR Partners: LLR Partners is a lower middle market private equity firm that invests in software and tech-enabled companies within the knowledge economy, with a strong focus on fintech. They offer a broad network, deep industry experience, and value creation resources to help compani …

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
    Thoma Bravo
    5

Share of mentions

CompanyShare
  1. Thoma Bravo
    83.3%
  2. Motive Partners
    16.7%
  3. FTV Capital
    0.0%
  4. Summit Partners
    0.0%
  5. TPG Growth (a division of TPG Global)
    0.0%
  6. Aquiline Capital Partners
    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
    qubit.capital
    28
  2. 02
    privateequitylist.com
    19
  3. 03
    mandalorepartners.com
    13
  4. 04
    bdo.global
    11
  5. 05
    linkedin.com
    10
  6. 06
    rho.co
    7
  7. 07
    consultancy.eu
    7
  8. 08
    fastercapital.com
    7
  9. 09
    llrpartners.com
    5
  10. 10
    growthcapadvisory.com
    5

Motive Partners is in the study as a private equity firm.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Motive Partners 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
5

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

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
67

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 investing and wealth companies

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

Overall score
35
Ranks 62 of 238. Typical company: 28
Named in answers
1.7%
Ranks 98 of 238. Typical company: 0.8%
AI readiness
29
Ranks 51 of 238. Typical company: 29
Against its categorySection 08

Compared with private equity firms

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

Overall score
35
Ranks 14 of 74. Typical company: 27
Named in answers
1.7%
Ranks 22 of 74. Typical company: 0.0%
AI readiness
29
Ranks 14 of 74. 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. Motive Partners 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
36 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
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 15 of 100 · 97% of checks could run · checked on October 9, 2026 · motivepartners.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%
  • PassedHTTP 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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