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.
1,487 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 Alpha Edison

AI assistants do not name this venture capital firm in any of the 60 answers reviewed. Its overall score is 26 out of 100, ranking 1,487th of 2,219 companies and 149th out of 238 in its sector. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Alpha Edison 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
26Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • 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
149 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

Alpha Edison came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Seed vs Series A investment firms—what are the main differences in approach and support?0/4
  2. 02Are generalist VC firms or sector-focused investors a better fit for a US tech startup?0/4
  3. 03Best early-stage investors for technology startups in the United States0/4
  4. 04Do US early-stage investors provide added value beyond capital?0/4
  5. 05Typical equity ask and funding range for early-stage venture capital in US tech startups0/4
  6. 06Is partnering with an early-stage venture capital firm worth it for emerging technology companies?0/4
  7. 07When should a tech founder seek out early-stage investment instead of bootstrapping?0/4
  8. 08Why are some technology startups unable to secure early-stage venture funding despite market potential?0/4
  9. 09How does an early-stage venture capital fund compare to an angel syndicate for first-time founders?0/4
  10. 10Top early-stage venture capital firms that collaborate closely with founders0/4
  11. 11Alternatives to early-stage venture capital for funding technology companies in the United States0/4
  12. 12How can founders improve their chances of getting funding from US early-stage investors?0/4
  13. 13How hands-on are early-stage venture partners with portfolio companies in the United States?0/4
  14. 14Who typically funds companies focused on unlocking new markets with technology?0/4
  15. 15What kinds of technology businesses benefit most from partnering with early-stage investors focused on new markets?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

“Best early-stage investors for technology startups in the United States”

I'll search for current information about the best early-stage investors for technology startups in the United States.Based on current rankings and data, here are the best early-stage investors for technology startups in the United States:

Top-Tier Early-Stage Venture Capital Firms

Y Combinator is ranked first, offering $125K–$500K in pre-seed and seed funding, with notable exits including Airbnb, Stripe, Reddit, and Dropbox.

Sequoia Capital, founded in 1972, invests at seed and Series A stages with typical first checks of $200K–$5M, focusing on AI, enterprise, and consumer techn …

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
    First Round Capital
    5
  2. 02
    Initialized Capital
    3

Share of mentions

CompanyShare
  1. First Round Capital
    57.1%
  2. Initialized Capital
    42.9%
  3. Alpha Edison
    0.0%
  4. Village Global
    0.0%
  5. Upfront Ventures
    0.0%
  6. Freestyle Capital
    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
    crv.com
    20
  2. 02
    rho.co
    11
  3. 03
    linkedin.com
    5
  4. 04
    hub.waveup.com
    5
  5. 05
    qubit.capital
    4
  6. 06
    waveup.com
    4
  7. 07
    everythingstartups.com
    4
  8. 08
    elev-x.com
    3
  9. 09
    forumvc.com
    3
  10. 10
    brookings.edu
    3

Alpha Edison 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 Alpha Edison 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
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
26
Ranks 149 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
26
Ranks 30 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 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. Alpha Edison 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 32 of 100 · 97% of checks could run · checked on October 9, 2026 · www.alphaedison.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%
  • Not metllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit 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 rules for 13 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBot*partly
  • Anthropic-AI*partly
  • Google-Extended*partly
  • Applebot-Extended*partly
  • Meta-ExternalAgent*partly
  • FacebookBot*partly
  • Bytespider*partly
  • CCBot*partly
  • Diffbotpartly
  • Omgilibot*partly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbot*partly
  • YouBot*partly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBot*partly
  • 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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