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.
1,973 of 2,219
its rank by overall score
Place in its category
54th of 62 consumer lenders
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Proaktiva Financiera

AI assistants do not name this consumer lender in any of their 60 answers, while the typical company in its sector is named in 3.3% of answers. Its overall score is 24 out of 100, ranking 1,973rd of 2,219. The website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Proaktiva Financiera by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 56th of 93 in its sector. The typical lending and credit company is named in 3.3% 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
24Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness21
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
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
78 of 93
by overall score, where the typical lending and credit company scores 31

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Line itemsSection 01

Every question, and where the company came up

Proaktiva Financiera came up on 0 of 15 questions. Open any window to read that answer.

  1. 01What are the typical interest rates for business credit solutions in the US?0/4
  2. 02Alternatives to traditional bank loans for expanding small businesses?0/4
  3. 03How do term loans compare to revolving business credit lines for medium-sized enterprises?0/4
  4. 04What are some non-loan options for business financing in the United States?0/4
  5. 05Business factoring vs. traditional loans—what works better for cash flow management?0/4
  6. 06What can businesses do if they need funding but don’t qualify for a standard loan?0/4
  7. 07What financial solutions help companies bridge gaps between invoicing and payment collection?0/4
  8. 08Is it worth applying for credit to finance inventory expansion for manufacturing companies?0/4
  9. 09What should businesses do if their credit application is taking longer than expected?0/4
  10. 10Are there upfront fees for business loans or credit lines for enterprises?0/4
  11. 11Why might an SME get declined for a business loan and how can they improve approval chances?0/4
  12. 12Are financial solutions for supplier payments a good choice for large enterprises?0/4
  13. 13What are the best business credit options for rapidly growing companies?0/4
  14. 14What types of financial solutions are available for small businesses that need working capital?0/4
  15. 15How can short-term business credit support seasonal inventory needs?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
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

The company is not named in this answer

Geminidid not name the company

“Are there upfront fees for business loans or credit lines for enterprises?”

Yes, many financial institutions charge upfront fees for business loans and lines of credit. These can vary significantly depending on the lender and the specific product.

Here's a breakdown of common upfront fees you might encounter:

Application or Origination Fees: Some lenders, like Chase, explicitly state "No application or origination fees" for their business lines of credit chase.com. However, other lenders might charge an origination fee, which is often a percentage of the loan amount (e.g., 1% to 3%) and …

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.

Named instead

CompanyTimes named
  1. 01
    OnDeck
    2
  2. 02
    Fundbox
    1

Share of mentions

CompanyShare
  1. OnDeck
    28.6%
  2. Fundbox
    28.6%
  3. Kabbage (American Express Business Blueprint)
    14.3%
  4. BlueVine
    14.3%
  5. Lendio
    14.3%
  6. Proaktiva Financiera
    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
    crestmontcapital.com
    22
  2. 02
    biz2credit.com
    8
  3. 03
    nerdwallet.com
    7
  4. 04
    sba.gov
    6
  5. 05
    bankrate.com
    5
  6. 06
    bluevine.com
    5
  7. 07
    wayflyer.com
    5
  8. 08
    xero.com
    4
  9. 09
    lendio.com
    4
  10. 10
    brex.com
    4

Proaktiva Financiera is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Proaktiva Financiera 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
0

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
50

How positively AI describes the company

Site quality
73

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 lending and credit companies

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

Overall score
24
Ranks 78 of 93. Typical company: 31
Named in answers
0.0%
Ranks 56 of 93. Typical company: 3.3%
AI readiness
21
Ranks 52 of 93. Typical company: 29
Against its categorySection 08

Compared with consumer lenders

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

Overall score
24
Ranks 49 of 62. Typical company: 28
Named in answers
0.0%
Ranks 34 of 62. Typical company: 1.7%
AI readiness
21
Ranks 38 of 62. 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. Proaktiva Financiera 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

The website runs on WooCommerce.

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 · proaktiva.com.mx · 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.

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