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.
2,110 of 2,219
its rank by overall score
Place in its category
70th of 74 private equity firms
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for G Squared

AI assistants do not name this private equity 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 22 out of 100, which ranks 2,110th of 2,219 companies. The website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned G Squared 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
22Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality60
  • AI readiness21
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
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
220 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

G Squared came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Top strategies for tech founders looking to raise private growth capital0/4
  2. 02What are some non-traditional funding sources for scaling private technology companies?0/4
  3. 03How can a tech company decide if it's the right time to seek growth capital?0/4
  4. 04What are typical use cases for growth-stage funding in tech businesses?0/4
  5. 05What affects valuation and dilution when raising growth capital as a tech company?0/4
  6. 06Common challenges technology companies face when seeking liquidity in the private markets0/4
  7. 07Growth-stage venture investing vs. early-stage VC—what's the difference?0/4
  8. 08Is working with a growth-stage venture capital firm worth it for a technology startup?0/4
  9. 09What should a founder do if growth capital negotiations stall?0/4
  10. 10Where do US technology founders find investors specializing in liquidity solutions?0/4
  11. 11Private equity vs. venture capital for scaling tech companies0/4
  12. 12What are the best growth-stage venture capital firms for technology companies in the US?0/4
  13. 13How can private growth capital help technology companies achieve long-term impact?0/4
  14. 14How are management fees structured for US-based growth-stage venture capital firms?0/4
  15. 15Alternatives to growth-stage venture funding for technology companies in the US0/4
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

“Where do US technology founders find investors specializing in liquidity solutions?”

I'll search for information about where US tech founders can find investors specializing in liquidity solutions.Based on the search results, here are the key ways US technology founders find investors specializing in liquidity solutions:

Direct Liquidity Providers

Firms like 137 Ventures provide customized liquidity solutions to founders, investors, and early employees of growth stage private technology companies. Prism is a marketplace providing liquidity for startup founders, employees, and investors.

Growth-Stage VCs

Growth-stage VCs (Insight, Accel-KKR, General Atlantic, Summit, …

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
    Insight Partners
    3
  2. 02
    Accel
    2
  3. 03
    General Atlantic
    2
  4. 04
    Lightspeed Venture Partners
    2

Share of mentions

CompanyShare
  1. Insight Partners
    27.8%
  2. Accel
    27.8%
  3. Lightspeed Venture Partners
    22.2%
  4. General Atlantic
    16.7%
  5. Tiger Global Management
    5.6%
  6. G Squared
    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
    12
  2. 02
    linkedin.com
    10
  3. 03
    angelinvestorsnetwork.com
    8
  4. 04
    crv.com
    4
  5. 05
    visible.vc
    4
  6. 06
    vcbeast.com
    4
  7. 07
    growthcapadvisory.com
    4
  8. 08
    crestmontcapital.com
    3
  9. 09
    startups.com
    3
  10. 10
    morganstanley.com
    3

G Squared 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

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

How G Squared 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
50

How positively AI describes the company

Site quality
60

How well built the website's own pages are

AI readiness
21

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
22
Ranks 220 of 238. Typical company: 28
Named in answers
0.0%
Ranks 120 of 238. Typical company: 0.8%
AI readiness
21
Ranks 140 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
22
Ranks 69 of 74. Typical company: 27
Named in answers
0.0%
Ranks 31 of 74. Typical company: 0.0%
AI readiness
21
Ranks 45 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 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. G Squared 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

The website runs on WooCommerce.

Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPartly 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 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 24 of 100 · 97% of checks could run · checked on October 9, 2026 · gsquared.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

3 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%
  • 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

  • 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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