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.
311 of 2,219
its rank by overall score
Place in its category
4th of 32 law firms
Closing balance

Named in

7of 60 answers

by 4 of 4 assistants

Statement note

What this means for Orrick, Herrington & Sutcliffe

AI assistants name this law firm in 11.7% of answers, compared to 0% for the typical company in its sector. Its overall score is 39 out of 100, ranking 311th of 2,219, and 31st of 346 in its sector. The website passes 2 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Orrick, Herrington & Sutcliffe by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 36th of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
39Overall score
  • Visibility14
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness21
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
18.4%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
31 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Orrick, Herrington & Sutcliffe came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Who are the leading global corporate law firms for technology and innovation sectors?4/4
  2. 02Are global law firms effective for handling complex litigation in the finance sector?1/4
  3. 03What should enterprises do if their law firm struggles with emerging regulatory requirements in healthtech?0/4
  4. 04Which law firms have strong experience with innovation-driven M&A in the United States?1/4
  5. 05How can companies resolve communication issues with their legal counsel during cross-border deals?0/4
  6. 06Alternatives to using a full-service global law firm for tech company IPOs?1/4
  7. 07How do major law firms charge for ongoing regulatory support versus project-specific work?0/4
  8. 08What role does a global law firm play in renewable energy project financing?0/4
  9. 09How do regulatory law firms differ from transactional law firms for energy sector clients?0/4
  10. 10What are the options besides large corporate law firms for international dispute resolution?0/4
  11. 11Corporate law firm services vs boutique law firms for infrastructure projects—what are the main differences?0/4
  12. 12Typical fee structures for corporate legal services in large-scale infrastructure transactions?0/4
  13. 13How do law firms support enterprises with compliance challenges under the EU AI Act?0/4
  14. 14Best legal partners for cross-border transactions in the life sciences industry?0/4
  15. 15Is hiring a large international law firm worth it for technology M&A deals?0/4
Total namedOpenAI: 1/15Claude: 1/15Perplexity: 1/15Gemini: 4/15All assistants: 7/60
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

“Who are the leading global corporate law firms for technology and innovation sectors?”

Leading global corporate law firms for technology and innovation typically include:

Orrick, Herrington & Sutcliffe — Particularly strong in venture capital, emerging companies, technology transactions, fintech, life sciences, and high-growth innovation businesses; Chambers identifies Technology & Innovation as a core sector.

Cooley — A leading choice for startups, venture capital, life sciences, technology transactions, IPOs, M&A, and intellectual property. It was named Law360’s 2024 Technology Group of the Year.

Latham & Watkins — Strong across venture capital, M& …

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
    Latham & Watkins
    8
  2. 02
    Wilson Sonsini Goodrich & Rosati
    6
  3. 03
    Cooley LLP
    5
  4. 04
    Covington & Burling LLP
    2

Share of mentions

CompanyShare
  1. Latham & Watkins
    31.6%
  2. Cooley LLP
    26.3%
  3. Orrick, Herrington & Sutcliffe
    18.4%
  4. Wilson Sonsini Goodrich & Rosati
    18.4%
  5. Covington & Burling LLP
    5.3%
  6. Morrison & Foerster LLP (MoFo)
    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
    chambers.com
    25
  2. 02
    lw.com
    11
  3. 03
    dlapiper.com
    8
  4. 04
    cooley.com
    7
  5. 05
    linkedin.com
    6
  6. 06
    general.legal
    4
  7. 07
    cov.com
    4
  8. 08
    wilmerhale.com
    4
  9. 09
    bakermckenzie.com
    4
  10. 10
    digital-strategy.ec.europa.eu
    4

Orrick, Herrington & Sutcliffe is in the study as a law firm.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
4/15
Claude
1/15
OpenAI
1/15
Perplexity
1/15
Market comparisonSection 06

How Orrick, Herrington & Sutcliffe 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
14

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
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 advisory and services firms

346 companies in this sector. The gold tick on each bar is the typical company.

Overall score
39
Ranks 31 of 346. Typical company: 27
Named in answers
11.7%
Ranks 36 of 346. Typical company: 0.0%
AI readiness
21
Ranks 228 of 346. Typical company: 29
Against its categorySection 08

Compared with law firms

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

Overall score
39
Ranks 3 of 32. Typical company: 28
Named in answers
11.7%
Ranks 1 of 32. Typical company: 0.8%
AI readiness
21
Ranks 14 of 32. Typical company: 21
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. Orrick, Herrington & Sutcliffe 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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · www.orrick.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

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

  • Not metrobots.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%
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ShareSection 11

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Overall score 39 of 100 badge for Orrick, Herrington & Sutcliffe

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