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.
1,728 of 2,219
its rank by overall score
Place in its category
121st of 177 consultancies
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Xoriant

AI assistants do not name this consultancy in any of their 60 answers. Its overall score is 26 out of 100, ranking 1,728th of 2,219 companies, while the typical company in its sector scores 27. The company's website passes 2 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Xoriant by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 149th of 346 in its sector. The typical advisory or services firm is named in 0.0% 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 quality87
  • AI readiness14
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
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
204 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

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

  1. 01How can AI engineering consulting help automate complex business workflows?0/4
  2. 02What are the best AI engineering consultancies for large enterprises in the US?0/4
  3. 03Top competencies to seek in an AI-focused technology consultancy for US businesses?0/4
  4. 04How do AI-driven technology consultancies compare to traditional IT consulting services?0/4
  5. 05What are some alternatives to using an external consultancy for digital transformation projects?0/4
  6. 06What are common challenges when integrating AI platforms into existing enterprise systems?0/4
  7. 07Are AI engineering services generally billed by project phase, outcome, or retainer in the US market?0/4
  8. 08Which digital transformation service providers specialize in intelligent platform development?0/4
  9. 09How much does digital transformation consulting typically cost for a mid-sized US enterprise?0/4
  10. 10In-house data science team vs external AI consultancy: which is more effective for enterprise platform modernization?0/4
  11. 11What are practical ways AI-driven consultancies improve data value extraction for organizations?0/4
  12. 12What should I look for when selecting a digital transformation partner for my business?0/4
  13. 13Why do some enterprise digital transformation initiatives fail and how can consultancies help avoid common pitfalls?0/4
  14. 14Digital transformation consultancy vs in-house development: which is better for enterprise-scale projects?0/4
  15. 15Is hiring an AI engineering consultancy worth it for optimizing enterprise operations?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

“What are the best AI engineering consultancies for large enterprises in the US?”

I'll search for information about the best AI engineering consultancies serving large enterprises in the US.Based on recent research, here are the best AI engineering consultancies for large enterprises in the US:

Top-Tier Enterprise Consultancies

Accenture Applied Intelligence

Accenture Applied Intelligence is one of the largest providers of top AI consulting services in the USA, serving Fortune 500 enterprises across virtually every industry vertical.

IBM Consulting

The firm's strength lies in its ability to integrate AI into large, complex enterprise environments — particularl …

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
    Cognizant
    4
  2. 02
    Wipro
    1
  3. 03
    EPAM Systems
    1

Share of mentions

CompanyShare
  1. Cognizant
    60.0%
  2. EPAM Systems
    30.0%
  3. Wipro
    10.0%
  4. Xoriant
    0.0%
  5. Persistent Systems
    0.0%
  6. Hexaware Technologies
    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
    linkedin.com
    7
  2. 02
    moldstud.com
    5
  3. 03
    iternal.ai
    5
  4. 04
    opsiocloud.com
    4
  5. 05
    nerdbot.com
    4
  6. 06
    digitecsolution.com
    3
  7. 07
    codewave.com
    3
  8. 08
    perceptive-analytics.com
    3
  9. 09
    accenture.com
    3
  10. 10
    indatalabs.com
    3

Xoriant is in the study as a consultancy.

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 Xoriant 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
87

How well built the website's own pages are

AI readiness
14

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
26
Ranks 204 of 346. Typical company: 27
Named in answers
0.0%
Ranks 149 of 346. Typical company: 0.0%
AI readiness
14
Ranks 301 of 346. Typical company: 29
Against its categorySection 08

Compared with consultancies

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

Overall score
26
Ranks 97 of 177. Typical company: 27
Named in answers
0.0%
Ranks 62 of 177. Typical company: 0.0%
AI readiness
14
Ranks 154 of 177. 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?

We could not tell. The website turned away our requests for the files an agent would read. An agent arriving by itself is turned away the same way.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPCould not check
  • UCPCould not check
Interfaces for AI agents
  • MCP Server CardCould not check
  • A2A Agent CardCould not check
  • Agent SkillsCould not check
  • API CatalogCould not check
  • llms.txtPublished
  • 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 AuthCould not check

    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 CatalogCould not check

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

    study: 1.3%
  • OAuth discoveryCould not check

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

    study: 6.3%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

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

    study: 0.8%
  • A2A Agent CardCould not check

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

    study: 0.2%
  • Agent SkillsCould not check

    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 manifestCould not check

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

    study: 0.2%

Score 54 of 100 · 65% of checks could run · checked on October 9, 2026 · www.xoriant.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%
  • Not metXML 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%
  • 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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