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.
215 of 2,219
its rank by overall score
Place in its category
5th of 59 venture capital firms
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Titanium Ventures

AI assistants rarely name this venture capital firm, selecting it in 2 out of 60 answers; they also name Lightspeed Venture Partners and First Round Capital. Its overall score is 41 out of 100, ranking 215th of 2,219 companies. The website passes 6 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Titanium Ventures by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 82nd 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
41Overall score
  • Visibility6
  • Citations1
  • Sentiment100
  • Site quality93
  • AI readiness43
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
11.8%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
13 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

Titanium Ventures came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Is it worth seeking out specialized technology investors over general investors for startup growth?0/4
  2. 02Alternatives to venture capital for high-growth tech startups seeking strategic support0/4
  3. 03How can a startup leverage a data-driven venture capital partner to accelerate market expansion?0/4
  4. 04Ways technology startups benefit from VCs with a research and insights focus0/4
  5. 05Are data science-driven VC firms worth partnering with for Series A funding?0/4
  6. 06Best data-driven venture capital firms for early-stage tech startups in the US0/4
  7. 07Data-driven VC firms vs traditional venture capital in technology investment0/4
  8. 08Typical performance fee structures for US-based tech-focused venture capital funds0/4
  9. 09Why am I not getting attention from data-focused venture capital funds for my SaaS startup?0/4
  10. 10Top VC partners known for revenue acceleration support2/4
  11. 11How do startups overcome challenges in pitching to results-oriented venture capital firms?0/4
  12. 12What percentage of equity do data-driven VC firms typically require in growth funding rounds?0/4
  13. 13Strategic venture capital funds vs generalist VC approaches for startup growth0/4
  14. 14Options for startups that don't fit the investment criteria of data-driven VC funds0/4
  15. 15Accelerator and incubator programs as alternatives to data science-centered VC investing0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 1/15Gemini: 0/15All assistants: 2/60
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

“Top VC partners known for revenue acceleration support”

For hands-on revenue acceleration, the strongest shortlist is:

Titanium Ventures — The clearest specialist: its Revenue Acceleration Platform covers GTM strategy, channel partnerships, pipeline generation, C-level introductions, joint sales, and revenue cadence management.

Santi Subotovsky, Emergence — Known for helping portfolio companies shape growth strategy, particularly in enterprise software.

Insight Partners — Strong fit for companies moving from early growth toward scale, with support spanning multiple stages of maturity.

General Catalyst — A la …

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
    Lightspeed Venture Partners
    3
  2. 02
    First Round Capital
    2

Share of mentions

CompanyShare
  1. Andreessen Horowitz (a16z)
    35.3%
  2. Lightspeed Venture Partners
    29.4%
  3. First Round Capital
    17.6%
  4. Titanium Ventures
    11.8%
  5. Bessemer Venture Partners
    5.9%
  6. OpenView
    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
    14
  2. 02
    rho.co
    8
  3. 03
    linkedin.com
    7
  4. 04
    affinity.co
    5
  5. 05
    visible.vc
    5
  6. 06
    vcsheet.com
    5
  7. 07
    vcbeast.com
    5
  8. 08
    angelinvestorsnetwork.com
    5
  9. 09
    growett.com
    4
  10. 10
    stripe.com
    4

Titanium Ventures 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
1/15
Perplexity
1/15
Gemini
0/15
OpenAI
0/15
Market comparisonSection 06

How Titanium Ventures 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
6

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
100

How positively AI describes the company

Site quality
93

How well built the website's own pages are

AI readiness
43

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
41
Ranks 13 of 238. Typical company: 28
Named in answers
3.3%
Ranks 82 of 238. Typical company: 0.8%
AI readiness
43
Ranks 4 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
41
Ranks 2 of 59. Typical company: 26
Named in answers
3.3%
Ranks 18 of 59. Typical company: 0.0%
AI readiness
43
Ranks 1 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 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. Titanium Ventures 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
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
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
18 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryPartly met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · ti.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

6 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%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth 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

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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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