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

Named in

9of 60 answers

by 4 of 4 assistants

Statement note

What this means for Veryfi

AI assistants name this accounting, tax or payroll company in 15% of answers, which is much more often than the typical company in its sector at 1.7%. Its overall score is 41 out of 100, ranking it 186th of 2,219 companies. The website passes 4 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Veryfi by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 76th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
41Overall score
  • Visibility13
  • Citations4
  • Sentiment94
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
10.0%
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
54 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01What should companies consider before integrating a document data extraction API into their workflow?0/4
  2. 02Why might an AI data extraction API misread fields on scanned receipts?0/4
  3. 03Which document data extraction platforms are most secure for enterprise workflows?0/4
  4. 04How can automated data extraction APIs streamline the processing of accounts payable documents?0/4
  5. 05What are the differences between API-based document data extraction and on-premises OCR solutions?0/4
  6. 06How can I improve accuracy when extracting data from low quality or distorted document images?0/4
  7. 07What other methods exist for automating unstructured document data entry?0/4
  8. 08Are there affordable document extraction API options for small businesses?1/4
  9. 09What are alternatives to using an AI API for extracting structured data from invoices?1/4
  10. 10What are the best AI APIs for extracting data from invoices and receipts?4/4
  11. 11Is it worth investing in an AI document processing API for automated fraud detection?0/4
  12. 12How does template-based OCR compare to AI-powered data extraction for unstructured documents?0/4
  13. 13Which APIs offer the fastest turnaround times for processing financial documents?3/4
  14. 14What are common applications of real-time document data extraction APIs in financial services?0/4
  15. 15What is the typical pricing structure for AI-powered document data extraction APIs?0/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 3/15Gemini: 2/15All assistants: 9/60
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

“Which APIs offer the fastest turnaround times for processing financial documents?”

For fastest turnaround, the strongest options depend on document type:

Veryfi — Best for invoices, receipts, and expense reports; a 2025 benchmark reported an average response time of 2.8 seconds, with 89% of requests completing under three seconds.

Parseur — Best for bank statements; tests reported under 60 seconds for a five-page statement and processing of 100-page statements within minutes.

Extend — Best for complex financial and lending documents; its financial-statement benchmark reported faster processing than comparable systems, while a 1,044-page l …

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
    Rossum
    11
  2. 02
    Mindee
    10
  3. 03
    Nanonets
    9

Share of mentions

CompanyShare
  1. OCR Labs
    57.8%
  2. Mindee
    11.1%
  3. Nanonets
    11.1%
  4. Veryfi
    10.0%
  5. Rossum
    10.0%
  6. Parashift
    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
    llamaindex.ai
    18
  2. 02
    extend.ai
    12
  3. 03
    parseur.com
    12
  4. 04
    edenai.co
    10
  5. 05
    veryfi.com (its own website)
    10
  6. 06
    lido.app
    10
  7. 07
    docsumo.com
    8
  8. 08
    abbyy.com
    7
  9. 09
    nanonets.com
    6
  10. 10
    cloud.google.com
    6

Veryfi is in the study as an accounting, tax or payroll company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Veryfi 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
13

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
94

How positively AI describes the company

Site quality
87

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 financial technology and data companies

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

Overall score
41
Ranks 54 of 574. Typical company: 29
Named in answers
15.0%
Ranks 76 of 574. Typical company: 1.7%
AI readiness
29
Ranks 224 of 574. Typical company: 29
Against its categorySection 08

Compared with accounting, tax and payroll companies

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

Overall score
41
Ranks 9 of 32. Typical company: 38
Named in answers
15.0%
Ranks 15 of 32. Typical company: 15.0%
AI readiness
29
Ranks 6 of 32. 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. Veryfi 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
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 36 of 100 · 97% of checks could run · checked on October 9, 2026 · www.veryfi.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

4 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%
  • 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

  • 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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ShareSection 12

Share this result

Overall score 41 of 100 badge for Veryfi

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/veryfi.com"><img src="https://aeo-audit.rezolve.com/finance/badges/veryfi.com.svg" alt="Overall score 41 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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