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.
1,994 of 2,219
its rank by overall score
Place in its category
155th of 177 consultancies
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Synechron

AI assistants do not name this consultancy in any of the 60 answers, while companies such as Accenture and Capgemini are named. Its overall score is 24 out of 100, ranking 1,994th of 2,219 companies, just below the typical company in its sector. The website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Synechron 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
24Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness29
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
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
281 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

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

  1. 01How can asset managers benefit from next-generation software engineering in their digital transformation strategies?0/4
  2. 02How much does a full-scale modernization initiative for a regional bank typically cost?0/4
  3. 03Is investing in digital transformation consulting worth it for mid-sized banks?0/4
  4. 04What are typical pricing models for digital transformation consulting services in the U.S. financial sector?0/4
  5. 05Why might a financial institution's data modernization project stall during implementation?0/4
  6. 06What are the best digital transformation consulting options for banks looking to modernize with AI and cloud technologies?0/4
  7. 07Cloud-first solutions vs on-premises strategies for financial services modernization—how do they compare?0/4
  8. 08Common challenges when adopting AI-driven solutions in the insurance sector and how to solve them0/4
  9. 09How do unified digital platforms improve deal velocity in asset management?0/4
  10. 10What should asset managers consider before hiring a digital transformation consultant focused on FS firms?0/4
  11. 11In-house vs outsourced digital transformation for insurers: what are the pros and cons?0/4
  12. 12What technology trends are driving transformation in U.S. banking and insurance today?0/4
  13. 13Examples of real-world business outcomes from cloud migration in financial services firms0/4
  14. 14Digital transformation consulting vs traditional IT consulting for insurance companies—what are the key differences?0/4
  15. 15Alternatives to hiring a consulting firm for digital transformation in asset management0/4
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 Gemini actually said

The company is not named in this answer

Geminidid not name the company

“What are typical pricing models for digital transformation consulting services in the U.S. financial sector?”

In the U.S. financial sector, digital transformation consulting services commonly utilize several pricing models, often driven by the complexity of the project, the desired outcomes, and the level of engagement. Specialized domain knowledge and regulatory burdens, such as core banking modernization and Basel III/IV compliance, significantly influence rates in this sector [softwaremodernizationservices.com].

Here's a breakdown of typical pricing models:

1. Hourly / Time & Materials (T&M)

Structure: Clients are charged based on the actual hours worked by consultants. Rates vary by …

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
    Accenture
    3
  2. 02
    Capgemini
    2
  3. 03
    Cognizant
    1

Share of mentions

CompanyShare
  1. Accenture
    63.6%
  2. Capgemini
    27.3%
  3. Cognizant
    9.1%
  4. Synechron
    0.0%
  5. Slalom
    0.0%
  6. Publicis Sapient
    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
    mckinsey.com
    13
  2. 02
    accenture.com
    9
  3. 03
    linkedin.com
    7
  4. 04
    deloitte.com
    6
  5. 05
    appinventiv.com
    4
  6. 06
    kpmg.com
    4
  7. 07
    fisglobal.com
    4
  8. 08
    assets.kpmg.com
    4
  9. 09
    dataintelo.com
    3
  10. 10
    broadridge.com
    3

Synechron 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 Synechron 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
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.

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
24
Ranks 281 of 346. Typical company: 27
Named in answers
0.0%
Ranks 149 of 346. Typical company: 0.0%
AI readiness
29
Ranks 96 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
24
Ranks 138 of 177. Typical company: 27
Named in answers
0.0%
Ranks 62 of 177. Typical company: 0.0%
AI readiness
29
Ranks 48 of 177. Typical company: 29
AI readinessSection 09

The checks behind the AI readiness score

4 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

Discoverability

  • Passedrobots.txt publishedstudy: 85.1%
  • PassedXML 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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