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.
851 of 2,219
its rank by overall score
Place in its category
47th of 177 consultancies
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for IntouchCX

AI assistants do not name this consultancy in any of their 60 answers, while naming other firms such as Teleperformance and Concentrix. Its overall score is 31 out of 100, ranking 851st of 2,219 companies. The website passes 11 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned IntouchCX 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
31Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness79
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
11/14
technical checks passed. Typical for its sector: 4
Rank in its sector
112 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

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

  1. 01How do enterprises leverage managed BPO support for peak-season customer demand?0/4
  2. 02Who offers top-rated AI-powered outsourcing solutions for large enterprises?0/4
  3. 03Common challenges with BPO customer experience solutions and how to overcome them?0/4
  4. 04Is outsourcing back office operations worth it for rapidly growing brands?0/4
  5. 05Alternatives to BPO for digital customer support for large enterprises?0/4
  6. 06Digital customer experience outsourcing vs traditional call center services—what's the difference?0/4
  7. 07How does digital CX outsourcing compare to in-house customer support for scalability?0/4
  8. 08What are the best BPO providers for digital customer experience transformation in the US?0/4
  9. 09Ways large brands use AI-powered BPO services to improve trust and safety online?0/4
  10. 10How can enterprises address security concerns when working with outsourced digital CX teams?0/4
  11. 11How do value-based pricing models work for digital transformation outsourcing services?0/4
  12. 12What is the typical cost structure for enterprise-level digital CX outsourcing in the US?0/4
  13. 13What other options exist apart from outsourcing for streamlining back office operations?0/4
  14. 14What should large US companies consider before investing in AI-driven BPO services?0/4
  15. 15Non-traditional approaches to digital transformation in customer experience management?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

“Who offers top-rated AI-powered outsourcing solutions for large enterprises?”

I'll search for information about top-rated AI-powered outsourcing solutions for large enterprises.Based on recent information, several companies are recognized as top-rated AI-powered outsourcing solutions for large enterprises:

Leading Global Providers:

Genpact is the strongest overall pick for AI Outsourcing in 2026, with Tata Consultancy Services and Capgemini rounding out the top 3.

HCLTech is a technology services firm delivering AI and generative AI outsourcing and managed operations, best for when large enterprises need build plus operational governance for deployed AI workloads …

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
    Teleperformance
    5
  2. 02
    TTEC
    3
  3. 03
    Concentrix
    3
  4. 04
    Alorica
    1

Share of mentions

CompanyShare
  1. Teleperformance
    29.2%
  2. Concentrix
    25.0%
  3. TTEC
    25.0%
  4. Sitel Group (Foundever)
    12.5%
  5. Alorica
    8.3%
  6. IntouchCX
    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
    outsourceaccelerator.com
    15
  2. 02
    helpware.com
    10
  3. 03
    hugoinc.com
    10
  4. 04
    conectys.com
    7
  5. 05
    bpoinsighthub.com
    6
  6. 06
    gigabpo.com
    6
  7. 07
    goodcall.com
    5
  8. 08
    designrush.com
    5
  9. 09
    ringly.io
    5
  10. 10
    worldmetrics.org
    4

IntouchCX 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 IntouchCX 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
79

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
31
Ranks 112 of 346. Typical company: 27
Named in answers
0.0%
Ranks 149 of 346. Typical company: 0.0%
AI readiness
79
Ranks 1 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
31
Ranks 46 of 177. Typical company: 27
Named in answers
0.0%
Ranks 62 of 177. Typical company: 0.0%
AI readiness
79
Ranks 1 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?

Not by itself. IntouchCX 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 CardPublished
  • A2A Agent CardNot present
  • Agent SkillsPublished
  • API CatalogPublished
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
100 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
50 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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
73 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    study: 1.3%
  • OAuth discoveryPassed

    OpenID Connect or OAuth metadata agents can use to sign in.

    study: 6.3%
  • OAuth Protected ResourcePassed

    Metadata telling agents which authorization server to use.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardPassed

    A server card describing the MCP server, its transport and capabilities.

    study: 0.8%
  • A2A Agent CardNot met

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

    study: 0.2%
  • Agent SkillsPassed

    A skills index at /.well-known/agent-skills/index.json that agents can load.

    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 73 of 100 · 97% of checks could run · checked on October 9, 2026 · www.intouchcx.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

11 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%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • PassedMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • PassedExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • PassedAPI Catalog (.well-known/api-catalog)study: 1.1%
  • PassedOAuth Authorization Server discoverystudy: 5.2%
  • PassedOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • PassedAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets rules for 3 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*partly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extended*partly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBot*partly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • 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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