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 and 10, 2026
when the AI assistants were asked
Account no.
530 of 2,219
its rank by overall score
Place in its category
8th of 22 wealth managers
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Treasury Curve

AI assistants rarely name this wealth manager in their answers, mentioning it in 1 out of 60 answers. Its overall score is 37 out of 100, placing it 530th of 2,219 companies, which is above the typical company in its sector. Its website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Treasury Curve by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 98th of 238 in its sector. The typical investing and wealth company is named in 0.8% 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
37Overall score
  • Visibility2
  • Citations1
  • Sentiment100
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
3.7%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
43 of 238
by overall score, where the typical investing and wealth company scores 28

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Line itemsSection 01

Every question, and where the company came up

Treasury Curve came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Are there affordable treasury management systems for organizations with smaller treasury teams?0/4
  2. 02Top features to look for in automated treasury management systems for U.S. finance teams?0/4
  3. 03What are the best treasury management platforms for optimizing corporate cash and investments?1/4
  4. 04Is investing in a treasury management system worth it for medium-sized companies?0/4
  5. 05Treasury management software vs traditional spreadsheet workflows: which is more effective for cash forecasting?0/4
  6. 06How does a specialized treasury management solution compare to manual cash management processes?0/4
  7. 07What should you do if your treasury management software is not syncing investment data properly?0/4
  8. 08Examples of how U.S. corporations automate cash position reporting with treasury software?0/4
  9. 09Common issues organizations face when integrating automated treasury management systems and how to solve them?0/4
  10. 10Best ways to improve visibility over multiple cash accounts with treasury management technology?0/4
  11. 11What are some manual methods or lower-tech tools used for managing corporate treasury functions?0/4
  12. 12What is the typical pricing structure for treasury management solutions in the United States?0/4
  13. 13How can treasury management platforms help streamline investment policy compliance for finance teams?0/4
  14. 14What questions should a corporate treasury team ask before purchasing a new treasury management tool?0/4
  15. 15Alternatives to fully automated treasury management platforms for optimizing cash workflows?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 1/15All assistants: 1/60
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 treasury management platforms for optimizing corporate cash and investments?”

… Treasury Curve This platform uniquely offers unified tools for managing and optimizing both cash and investments from a single, user-friendly interface. It aims to simplify treasury management and provide amplified financial access by connecting to over 11,000 financial institutions.

myDiapason Designed for large enterprises and financial institutions, myDiapason offers specialized modules for liquidity (cash management and forecasting) and payments (multi-bank connectivity), enabling centralized multi-bank, multi-entity, and multi-currency operations with real-time visibilit

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
    Kyriba
    11
  2. 02
    GTreasury
    10
  3. 03
    Trovata
    9

Share of mentions

CompanyShare
  1. Kyriba
    29.6%
  2. GTreasury
    29.6%
  3. Trovata
    29.6%
  4. FIS Treasury and Risk Manager
    7.4%
  5. Treasury Curve
    3.7%
  6. Infor Treasury Management
    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
    treasury.ripple.com
    37
  2. 02
    highradius.com
    26
  3. 03
    kosh.ai
    19
  4. 04
    jpmorgan.com
    13
  5. 05
    nomentia.com
    12
  6. 06
    debtbook.com
    12
  7. 07
    centime.com
    10
  8. 08
    rho.co
    10
  9. 09
    treasurers.org
    9
  10. 10
    treasury4.com
    9

Treasury Curve is in the study as a wealth manager.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Treasury Curve 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
2

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

Citations
1

How often AI uses the company's own website as a source

Sentiment
100

How positively AI describes the company

Site quality
87

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 investing and wealth companies

238 companies in this sector. The gold tick on each bar is the typical company.

Overall score
37
Ranks 43 of 238. Typical company: 28
Named in answers
1.7%
Ranks 98 of 238. Typical company: 0.8%
AI readiness
21
Ranks 140 of 238. Typical company: 29
Against its categorySection 08

Compared with wealth managers

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

Overall score
37
Ranks 7 of 22. Typical company: 35
Named in answers
1.7%
Ranks 13 of 22. Typical company: 3.3%
AI readiness
21
Ranks 10 of 22. Typical company: 21
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. Treasury Curve 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.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
80 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

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

3 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%
  • 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%
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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • 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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