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.
837 of 2,219
its rank by overall score
Place in its category
46th of 177 consultancies
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Tensure Consulting

AI assistants rarely name this consultancy, mentioning it in 2 out of 60 answers. Its overall score is 31 out of 100, which ranks 837th of 2,219 in the study and 112th of 346 in its sector. The website passes 5 of 14 technical checks for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Tensure Consulting by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 96th 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
  • Visibility12
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
66.7%
of the mentions of it and its 5 peers
AI readiness
5/14
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

Tensure Consulting came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How can engineering teams in financial services reduce deployment delays and eliminate ticket-driven workflows?0/4
  2. 02How do internal developer platforms help financial services teams handle compliance and security requirements?0/4
  3. 03Which approaches besides internal developer platforms help fintech companies accelerate software delivery?0/4
  4. 04Internal developer platforms vs cloud-native infrastructure for fintech—how do the benefits compare?0/4
  5. 05Is investing in a custom internal developer platform worth it for midsize financial services teams?0/4
  6. 06What factors impact the cost of platform engineering services for financial services companies?0/4
  7. 07Platform engineering services vs traditional DevOps consulting for financial services: what's the difference?0/4
  8. 08What should fintech leaders look for when evaluating platform engineering solutions for scalable environments?0/4
  9. 09What are the best platform engineering services for financial services organizations looking to modernize their infrastructure?2/4
  10. 10What are common challenges fintech teams face when rolling out self-service platforms, and how can they be solved?0/4
  11. 11What are examples of successful platform engineering adoption in the fintech sector?0/4
  12. 12What other solutions exist for reducing infrastructure bottlenecks in regulated financial sectors?0/4
  13. 13Are there affordable platform engineering options for smaller fintech teams in the US?0/4
  14. 14What are alternatives to platform engineering for improving engineering team productivity in financial services?0/4
  15. 15How can fintech companies accelerate engineering delivery with internal developer platforms?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 2/60
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

An answer that names the company

Gemininamed the company

“What are the best platform engineering services for financial services organizations looking to modernize their infrastructure?”

Financial services organizations seeking to modernize their infrastructure through platform engineering have several excellent service providers that specialize in this highly regulated sector. These providers offer expertise in cloud-native development, DevOps, security, and compliance.

Here are some of the best platform engineering services for financial services organizations:

Tensure focuses on helping FinServ and FinTech teams design, scale, and standardize systems for developer productivity. They emphasize an adoption-first delivery model to transform "console chaos into clear, …

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.

Share of mentions

CompanyShare
  1. Tensure Consulting
    66.7%
  2. Thoughtworks
    33.3%
  3. Contino (an EPAM company)
    0.0%
  4. Slalom
    0.0%
  5. Levvel (an Endava company)
    0.0%
  6. Equal Experts
    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
    techbullion.com
    10
  2. 02
    gartsolutions.com
    7
  3. 03
    tensure.io (its own website)
    6
  4. 04
    cloud.google.com
    5
  5. 05
    jellyfish.co
    5
  6. 06
    spacelift.io
    5
  7. 07
    trio.dev
    5
  8. 08
    bamboodt.com
    4
  9. 09
    qovery.com
    3
  10. 10
    dev.to
    3

Tensure Consulting is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
OpenAI
1/15
Perplexity
0/15
Claude
0/15
Market comparisonSection 06

How Tensure Consulting 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
12

How often AI assistants name the company, and how that compares with its peers

Citations
2

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
36

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
3.3%
Ranks 96 of 346. Typical company: 0.0%
AI readiness
36
Ranks 38 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
3.3%
Ranks 37 of 177. Typical company: 0.0%
AI readiness
36
Ranks 15 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 2: Bot-aware. Explicit AI bot rules and declared Content Signals.

To reach level 3:
  • Markdown negotiation
Can an AI agent check out here?

Not by itself. Tensure Consulting 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.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
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
68 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsPassed

    Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.

    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 44 of 100 · 97% of checks could run · checked on October 9, 2026 · www.tensure.io · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

5 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

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.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%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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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