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.
398 of 2,219
its rank by overall score
Place in its category
17th of 177 consultancies
Closing balance

Named in

7of 60 answers

by 4 of 4 assistants

Statement note

What this means for Avanade

AI assistants name this consultancy in 11.7% of answers, while the typical company in its sector is named in 0% of answers. Its overall score is 38 out of 100, ranking 398th of 2,219 companies. The website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Avanade 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
38Overall score
  • Visibility14
  • Citations0
  • Sentiment80
  • Site quality93
  • 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
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
47 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

Avanade came up on 4 of 15 questions. Open any window to read that answer.

  1. 01Examples of business process optimization using Microsoft-based digital and cloud advisory services?0/4
  2. 02Is it better to choose a specialist in Microsoft cloud solutions or a broader digital consultancy for enterprise projects?0/4
  3. 03Are Microsoft ecosystem digital transformation services worth the investment for large organizations?0/4
  4. 04Are there significant price differences between US and global providers of Microsoft-focused cloud advisory services?1/4
  5. 05What are common roadblocks when scaling digital transformation projects in Microsoft environments?0/4
  6. 06How do Microsoft-focused digital consultancies differ from general cloud service providers?0/4
  7. 07What are alternative strategies to large-scale Microsoft ecosystem consulting for digital transformation?0/4
  8. 08How can enterprises address challenges when integrating AI solutions within existing Microsoft cloud infrastructures?0/4
  9. 09Most effective Microsoft cloud and AI service delivery models for Fortune 500 companies?1/4
  10. 10Alternatives to full-service Microsoft cloud consultancies for integrating AI into enterprise operations?0/4
  11. 11Best cloud business services tailored to US-based organizations using Microsoft technologies?0/4
  12. 12Enterprise advisory services vs. full-service Microsoft digital partners—what's the difference?0/4
  13. 13How can US-based enterprises leverage AI and cloud services to drive sustainable growth with Microsoft tools?0/4
  14. 14What are the top digital transformation consultancies focused on the Microsoft ecosystem for large enterprises?4/4
  15. 15What is the typical cost structure for enterprise digital transformation consulting focused on the Microsoft ecosystem?1/4
Total namedOpenAI: 1/15Claude: 3/15Perplexity: 1/15Gemini: 2/15All 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

“What are the top digital transformation consultancies focused on the Microsoft ecosystem for large enterprises?”

For large enterprises seeking Microsoft-centered digital transformation, the strongest shortlist is Accenture, Avanade, EY, Deloitte, Kyndryl, IBM, Capgemini, Cognizant, PwC, Slalom, Perficient, and Argano. The best choice depends on whether the priority is global systems integration, Azure modernization, Microsoft 365/Copilot adoption, Dynamics 365, or managed services.

Consultancy · Best fit · Microsoft ecosystem strengths

Accenture · Global, complex transformations · Azure, AI, data, Microsoft 365, Copilot, Dynamics 365, global change management; frequently sele …

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
    Accenture
    8
  2. 02
    Capgemini
    6

Share of mentions

CompanyShare
  1. Accenture
    26.3%
  2. Cognizant (Microsoft Business Group)
    21.1%
  3. Capgemini
    21.1%
  4. Avanade
    18.4%
  5. Wipro (Microsoft Practice)
    10.5%
  6. DXC Technology
    2.6%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    epcgroup.net
    30
  2. 02
    microsoft.com
    29
  3. 03
    azure.microsoft.com
    18
  4. 04
    learn.microsoft.com
    11
  5. 05
    uscloud.com
    8
  6. 06
    info.microsoft.com
    7
  7. 07
    worldmetrics.org
    6
  8. 08
    i3solutions.com
    5
  9. 09
    news.microsoft.com
    5
  10. 10
    keyholesoftware.com
    4

Avanade is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
3/15
Gemini
2/15
OpenAI
1/15
Perplexity
1/15
Market comparisonSection 06

How Avanade 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
80

How positively AI describes the company

Site quality
93

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
38
Ranks 47 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 consultancies

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

Overall score
38
Ranks 17 of 177. Typical company: 27
Named in answers
11.7%
Ranks 12 of 177. Typical company: 0.0%
AI readiness
21
Ranks 113 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
  • ACPNot present
  • UCPCould not check
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
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 headersCould not check

    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 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 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 28 of 100 · 88% of checks could run · checked on October 9, 2026 · www.avanade.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

1 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%
  • 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 38 of 100 badge for Avanade

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/avanade.com"><img src="https://aeo-audit.rezolve.com/finance/badges/avanade.com.svg" alt="Overall score 38 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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