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Alphabet

abc.xyz · Technology · GOOG, GOOGL

Ranked 1,125 of 2,047 companies in the study

31Overall score
  • Visibility14
  • Citations0
  • Sentiment63
  • Site quality67
  • AI readiness29
What this means for Alphabet

AI assistants name Alphabet in 6.7% of answers, which is less often than the typical company in the technology sector. Alphabet's overall score is 31 out of 100, ranking 1,125th of 2,047 companies. Its website passes 2 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the technology market: none named Alphabet. AI assistants named it in 4 of 60 answers (6.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Alphabet ranks 165 of 273 in its sector.

Named by AI in
6.7%
4 of 60 answers
Share of mentions
25.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
188 of 273
by overall score, where the typical technology company scores 36
How Alphabet compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
14

How often AI assistants name the company

Citations
0

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

Sentiment
63

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.

Compared with technology

273 companies in this sector. The line on each bar is the typical company.

Overall score31
Ranks 188 of 273. Typical company: 36
Named in answers7%
Ranks 165 of 273. Typical company: 10%
AI readiness29
Ranks 82 of 273. Typical company: 29
What Perplexity actually said

An answer that names the company

“What are the top technology holding companies for innovative investments?”

If you mean public technology holding companies with large, innovation-oriented stakes, the strongest candidates are Nvidia, Alphabet, Microsoft, Meta Platforms, and Amazon. These are repeatedly identified as major tech incumbents and core holdings in innovation-focused portfolios and ETFs.

A practical shortlist for innovative investment exposure is:

Nvidia — widely used as a flagship AI and semiconductor exposure, and a top holding in multiple innovation/tech ETFs.

Microsoft — consistently appears among the largest tech holdings in broad tec …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Berkshire Hathaway4
Share of mentions

How the mentions in these answers were split between this company and its rivals

Alphabet
36.4%
Berkshire Hathaway
36.4%
SoftBank Group
27.3%
IAC (InterActiveCorp)
0.0%
Hearst
0.0%
Constellation Software
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Perplexity
2/15
Claude
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, 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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

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

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

    study: 92.0%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

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

    study: 0.3%
  • OAuth discoveryNot met

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

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPNot met

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 16 of 100 · 100% of checks could run · checked on October 4, 2026 · abc.xyz · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

2 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: 85.0%
  • Not metXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

finance.yahoo.com
16
investopedia.com
15
simplywall.st
14
marketbeat.com
11
theglobeandmail.com
9
wolterskluwer.com
8
blackrock.com
8
forbes.com
8
morningstar.com
7
linkedin.com
6

In the study as US-listed.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How are valuations determined for diversified tech holding companies?
  • What are the top technology holding companies for innovative investments?
  • What are other ways to gain exposure to innovative tech beyond holding companies?
  • How do technology-focused holding companies support early-stage innovation?
  • Is it worth investing in a diversified technology holding structure?
  • Common challenges investors face with technology holding companies?
  • Are there typical fees or costs associated with investing in technology holding companies?
  • How do I evaluate if ownership in an umbrella tech company is a good investment?
  • Best ways to research large holding structures in the tech sector?
  • Tech-focused holding company vs. direct tech startups: pros and cons for investors?
  • How do technology holding companies compare to traditional conglomerates?
  • Alternatives to tech holding company investments in the US market?
  • How do holding company structures affect transparency in tech investments?
  • What are typical use cases for holding company ownership in the technology industry?
  • Are there different structures besides holding companies for investing in disruptive technology?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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Overall score 31 of 100 badge for Alphabet

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