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.
701 of 2,219
its rank by overall score
Place in its category
17th of 62 consumer lenders
Closing balance

Named in

3of 60 answers

by 1 of 4 assistants

Statement note

What this means for Giggle Finance

AI assistants name Giggle Finance in 5% of answers, a bit more often than the typical company in its sector, which is named in 3.3% of answers. Its overall score is 34 out of 100, ranking 701st of 2,219 companies and 34th of 93 in its sector. The website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Giggle Finance by name. AI assistants named it in 3 of the 60 answers. Counting only how often it is named, it ranks 37th of 93 in its sector. The typical lending and credit company is named in 3.3% of answers.

Overall score
34Overall score
  • Visibility10
  • Citations7
  • Sentiment60
  • Site quality87
  • AI readiness29
Summary of account
Named by AI in
5.0%
3 of 60 answers
Share of mentions
25.0%
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
34 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

Giggle Finance came up on 3 of 15 questions. Open any window to read that answer.

  1. 01Typical fees and costs for instant funding platforms serving independent contractors0/4
  2. 02Is same-day funding worth it for part-time side hustlers0/4
  3. 03Instant funding uses for rideshare drivers and delivery workers0/4
  4. 04What should I watch out for when applying for fast financing as a gig worker0/4
  5. 05What are some non-loan funding options for freelancers in need of quick cash1/4
  6. 06How can immediate financing help small business owners manage cash flow gaps0/4
  7. 07Easiest instant financing solutions for first-time small business owners in the US0/4
  8. 08How to get quick cash as a self-employed contractor0/4
  9. 09Reasons instant business funding applications get denied0/4
  10. 10Merchant cash advance vs instant funding for small businesses1/4
  11. 11Alternatives to instant funding platforms for 1099 contractors seeking working capital0/4
  12. 12How to resolve issues accessing funds after approval from an instant financing platform0/4
  13. 13Best instant funding options for freelancers and gig workers in the US1/4
  14. 14Differences between personal loans and instant funding for 1099 workers0/4
  15. 15Are there hidden fees associated with platforms offering same-day business funding0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 3/15All assistants: 3/60
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 some non-loan funding options for freelancers in need of quick cash”

Freelancers often face unpredictable income, making traditional loans challenging to obtain. Fortunately, several non-loan funding options can provide quick cash during emergencies or lean periods. These options often focus on your earning history or future revenue rather than a traditional credit score.

Here are some non-loan funding options for freelancers:

1. Cash Advances

Revenue-Based Cash Advances: Companies like Giggle Finance and Cashera offer cash advances specifically designed for gig workers and freelancers. Instead of relying on credit scores, they assess your actual …

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
    Fundbox
    5
  2. 02
    Bluevine
    2

Share of mentions

CompanyShare
  1. Fundbox
    41.7%
  2. Bluevine
    33.3%
  3. Giggle Finance
    25.0%
  4. Lendio
    0.0%
  5. Kabbage (by American Express)
    0.0%
  6. Rapid Finance
    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
    gigglefinance.com (its own website)
    31
  2. 02
    crestmontcapital.com
    21
  3. 03
    biz2credit.com
    17
  4. 04
    sofi.com
    11
  5. 05
    finder.com
    9
  6. 06
    nerdwallet.com
    8
  7. 07
    distilledfunding.com
    7
  8. 08
    thecreditpeople.com
    7
  9. 09
    forafinancial.com
    6
  10. 10
    firstcard.app
    5

Giggle Finance is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
Perplexity
0/15
Claude
0/15
OpenAI
0/15
Market comparisonSection 06

How Giggle Finance 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
7

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

Sentiment
60

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 lending and credit companies

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

Overall score
34
Ranks 34 of 93. Typical company: 31
Named in answers
5.0%
Ranks 37 of 93. Typical company: 3.3%
AI readiness
29
Ranks 24 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
34
Ranks 14 of 62. Typical company: 28
Named in answers
5.0%
Ranks 17 of 62. Typical company: 1.7%
AI readiness
29
Ranks 16 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. Giggle Finance 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 · gigglefinance.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

  • 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

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Overall score 34 of 100 badge for Giggle Finance

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