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.
150 of 2,219
its rank by overall score
Closing balance

Named in

6of 60 answers

by 3 of 4 assistants

Statement note

What this means for Hamming AI

AI assistants name the fintech infrastructure company Hamming AI in 10% of answers, while the typical company in its sector is named in 1.7% of answers. Its overall score is 42 out of 100, ranking 150th of 2,219 companies. The company's website passes 3 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Hamming AI by name. AI assistants named it in 6 of the 60 answers. Counting only how often it is named, it ranks 118th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
42Overall score
  • Visibility17
  • Citations4
  • Sentiment100
  • Site quality87
  • AI readiness21
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
37.5%
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
46 of 574
by overall score, where the typical financial technology and data company scores 29

Get the full report on Hamming AI as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01Which platforms offer SOC 2 or HIPAA compliance features for voice and chat agent testing?3/4
  2. 02What are other methods to monitor chat agent reliability beyond using dedicated QA platforms?0/4
  3. 03Automated vs manual testing for conversational AI agents—what are the pros and cons?0/4
  4. 04Typical pricing models for enterprise-grade conversational agent QA and monitoring tools?0/4
  5. 05Ways financial institutions benefit from continuous monitoring of conversational AI?0/4
  6. 06How do you identify underperforming conversation flows in a deployed voice agent?1/4
  7. 07How can healthcare organizations use automated conversation QA platforms to maintain compliance?0/4
  8. 08How do continuous monitoring platforms differ from periodic QA audits for voicebots?0/4
  9. 09Are enterprise conversational AI testing platforms worth the investment for midsize companies?0/4
  10. 10Recommended tools for monitoring performance of voice and chat agents in production?1/4
  11. 11How much do automated red team testing suites for voice agents usually cost?0/4
  12. 12Alternatives to automated scenario generation for testing conversational agents?0/4
  13. 13What are the best conversational AI agent testing platforms for enterprise teams?1/4
  14. 14Best practices for debugging false positive bookings in chat agents?0/4
  15. 15What should enterprises look for when choosing a platform for conversational agent regression testing?0/4
Total namedOpenAI: 0/15Claude: 2/15Perplexity: 2/15Gemini: 2/15All assistants: 6/60
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 best conversational AI agent testing platforms for enterprise teams?”

The strongest enterprise options are Cekura, Cyara, Hamming AI, Maxim AI, and LangSmith/LangChain—with the best choice depending on whether you test chat, voice, agent workflows, or regulated production systems.

Platform · Best for · Enterprise strengths

Cekura · Automated conversational-agent QA · Multi-turn scenario testing, regression suites, LLM-agent evaluation, and CI/CD integration.

Cyara · Contact centers combining IVR, voicebots, and chatbots · Broad customer-experience testing across traditional IVR and AI agents; particularly strong for large …

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
    Cyara
    3
  2. 02
    Cognigy
    1

Share of mentions

CompanyShare
  1. Hamming AI
    37.5%
  2. Cyara
    31.3%
  3. Botium (part of Cyara)
    18.8%
  4. Cognigy
    12.5%
  5. Speechly
    0.0%
  6. Kobiton (Test Automation for Conversational AI)
    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
    cekura.ai
    26
  2. 02
    hamming.ai (its own website)
    12
  3. 03
    resources.getbluejay.ai
    7
  4. 04
    hhs.gov
    7
  5. 05
    parloa.com
    6
  6. 06
    github.com
    5
  7. 07
    rasa.com
    4
  8. 08
    getmaxim.ai
    4
  9. 09
    confident-ai.com
    4
  10. 10
    testmuai.com
    4

Hamming AI is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
2/15
Gemini
2/15
Perplexity
2/15
OpenAI
0/15
Market comparisonSection 06

How Hamming AI 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
17

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

Citations
4

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 financial technology and data companies

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

Overall score
42
Ranks 46 of 574. Typical company: 29
Named in answers
10.0%
Ranks 118 of 574. Typical company: 1.7%
AI readiness
21
Ranks 401 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
42
Ranks 18 of 315. Typical company: 28
Named in answers
10.0%
Ranks 47 of 315. Typical company: 1.7%
AI readiness
21
Ranks 215 of 315. 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. Hamming AI 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
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
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 25 of 100 · 97% of checks could run · checked on October 9, 2026 · hamming.ai · 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

  • 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.

Take it with you

Get the full report on Hamming AI as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 42 of 100 badge for Hamming AI

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/hamming.ai"><img src="https://aeo-audit.rezolve.com/finance/badges/hamming.ai.svg" alt="Overall score 42 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo