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

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Canvas Prime

AI assistants do not name this venture capital firm in any of their 60 answers, while the typical company in its sector is named in 0.8% of answers. Its overall score is 35 out of 100, ranking 663rd of 2,219 companies. Its website passes 4 of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Canvas Prime by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 120th 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
  • Visibility0
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
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

Canvas Prime came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Which US venture capitalists are most active in supporting fintech companies at the Series A and B stages?0/4
  2. 02Which non-traditional funding sources support US fintech companies pursuing Series A or B rounds?0/4
  3. 03Why do some technology founders struggle to secure Series A funding from early-stage VCs?0/4
  4. 04How can an AI startup leverage VC support to accelerate go-to-market strategies?0/4
  5. 05What are the best early-stage venture capital firms focusing on Series A and B investments for digital health startups?0/4
  6. 06Are there government grants or accelerators for early-stage AI startups in the United States?0/4
  7. 07How do the management fees and carry structures compare among boutique venture capital firms in early-stage tech?0/4
  8. 08What are alternatives to raising venture capital for digital health startups ready to scale?0/4
  9. 09What value do early-stage investors bring beyond capital for Series A fintech companies?0/4
  10. 10Is partnering with a boutique venture capital firm worth it for a scaling AI company seeking Series B funding?0/4
  11. 11What’s the difference between generalist VC funds and those specialized in digital health or fintech?0/4
  12. 12What are common pitfalls when pitching digital health ventures to early-stage investment firms?0/4
  13. 13How do boutique venture capital firms compare to larger institutional funds for early-stage AI startup funding?0/4
  14. 14Do early-stage fintech startups benefit more from working with sector-focused investors or broad-based venture funds?0/4
  15. 15What are typical equity terms for Series A and Series B venture capital deals in the US?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Claudedid not name the company

“Which US venture capitalists are most active in supporting fintech companies at the Series A and B stages?”

Based on current market data, here are the US venture capitalists most active in supporting fintech companies at the Series A and B stages:

Fintech-Specialized Firms

Point72 Ventures (Steve Cohen's fund) is a deep fintech specialist with Series A–B leadership at $5M–$25M. Commerce Ventures is a pure-play fintech specialist focused on payments, lending, and infrastructure with a Series A focus. DHVC (Palo Alto-based) is fintech-focused with 206+ investments and 35+ exits.

Multi-Stage Leaders with Strong Fintech Presence

The most-active fintech VCs in 2026 include Sequoia C …

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.

Named instead

CompanyTimes named
  1. 01
    Bessemer Venture Partners
    6
  2. 02
    Lux Capital
    1
  3. 03
    Canvas Ventures
    1
  4. 04
    First Round Capital
    1

Share of mentions

CompanyShare
  1. Bessemer Venture Partners
    72.7%
  2. Lux Capital
    18.2%
  3. First Round Capital
    9.1%
  4. Canvas Prime
    0.0%
  5. Founders Fund
    0.0%
  6. Redpoint Ventures
    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
    17
  2. 02
    rho.co
    13
  3. 03
    vcsheet.com
    11
  4. 04
    linkedin.com
    9
  5. 05
    waveup.com
    8
  6. 06
    sky9capital.com
    5
  7. 07
    vcbeast.com
    4
  8. 08
    mercury.com
    4
  9. 09
    angelinvestorsnetwork.com
    4
  10. 10
    revli.com
    3

Canvas Prime is in the study as a venture capital firm.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Canvas Prime 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
0

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
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 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
0.0%
Ranks 120 of 238. Typical company: 0.8%
AI readiness
29
Ranks 51 of 238. Typical company: 29
Against its categorySection 08

Compared with venture capital firms

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

Overall score
35
Ranks 12 of 59. Typical company: 26
Named in answers
0.0%
Ranks 25 of 59. Typical company: 0.0%
AI readiness
29
Ranks 10 of 59. 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. Canvas Prime 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 · canvas.vc · 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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