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, 2026
when the AI assistants were asked
Account no.
316 of 2,219
its rank by overall score
Closing balance

Named in

6of 60 answers

by 4 of 4 assistants

Statement note

What this means for AutoRek

AI assistants name this accounting, tax or payroll company in 10% of answers. This is much more often than the typical company in its sector, which is named in 1.7% of answers. Its overall score is 39 out of 100, placing it 316th 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 AutoRek 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
39Overall score
  • Visibility10
  • Citations0
  • Sentiment100
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
10.0%
6 of 60 answers
Share of mentions
11.5%
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
94 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

AutoRek came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Alternatives to dedicated reconciliation platforms for managing regulatory compliance?0/4
  2. 02Why does our reconciliation system flag unmatched items, and how can we minimize false positives?0/4
  3. 03What are the advantages of full-suite financial control platforms versus standalone reconciliation systems?0/4
  4. 04What are the most reliable financial control and reconciliation software options for large enterprises?0/4
  5. 05What features affect the cost of advanced financial controls solutions?0/4
  6. 06Is investing in automated financial oversight software worth it for mid-sized financial firms?0/4
  7. 07Common reasons automated reconciliation software misses transactions and how to resolve them?0/4
  8. 08How does bank reconciliation software differ from general ledger reconciliation tools?0/4
  9. 09What are some manual or semi-automated methods used instead of financial control software?0/4
  10. 10Does enterprise-grade reconciliation software improve compliance outcomes enough to justify the cost?0/4
  11. 11Typical pricing models for intelligent reconciliation software in the US?0/4
  12. 12Ways financial control software can help meet evolving regulatory reporting requirements?0/4
  13. 13How do financial reconciliation platforms support month-end closing processes?0/4
  14. 14Which reconciliation solutions offer the best data oversight for US-based enterprises?2/4
  15. 15Best platforms for regulatory-grade reconciliation in US financial institutions?4/4
Total namedOpenAI: 2/15Claude: 1/15Perplexity: 1/15Gemini: 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

“Best platforms for regulatory-grade reconciliation in US financial institutions?”

For US banks, broker-dealers, asset managers, and other regulated institutions, the strongest shortlist is SmartStream TLM, Gresham Control Cloud, AutoRek ARIA, FIS IntelliMatch/Data Integrity Manager, and SS&C. BlackLine and Trintech are stronger choices for corporate accounting, close, and balance-sheet certification than for high-volume securities or transaction reconciliation.

Platform · Best fit · Why shortlist it · Main caveat

SmartStream TLM · Tier-one banks, broker-dealers, custodians, and capital markets · Mature institutional r …

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
    BlackLine
    26
  2. 02
    Trintech
    17
  3. 03
    ReconArt
    7
  4. 04
    Duco
    3

Share of mentions

CompanyShare
  1. BlackLine
    34.6%
  2. Trintech
    32.7%
  3. AutoRek
    11.5%
  4. ReconArt
    11.5%
  5. FIS (FIS Control Solutions)
    5.8%
  6. Duco
    3.8%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    ramp.com
    19
  2. 02
    bluecopa.com
    16
  3. 03
    numeric.io
    15
  4. 04
    highradius.com
    13
  5. 05
    satvasolutions.com
    9
  6. 06
    hubifi.com
    8
  7. 07
    greshamtech.com
    8
  8. 08
    solvexia.com
    7
  9. 09
    trintech.com
    7
  10. 10
    prophix.com
    7

AutoRek 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

Gemini
2/15
OpenAI
2/15
Perplexity
1/15
Claude
1/15
Market comparisonSection 06

How AutoRek 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
10

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
100

How positively AI describes the company

Site quality
80

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
39
Ranks 94 of 574. Typical company: 29
Named in answers
10.0%
Ranks 118 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
39
Ranks 12 of 32. Typical company: 38
Named in answers
10.0%
Ranks 18 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. AutoRek 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 · autorek.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%
  • 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%
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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ShareSection 12

Share this result

Overall score 39 of 100 badge for AutoRek

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/autorek.com"><img src="https://aeo-audit.rezolve.com/finance/badges/autorek.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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