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.
365 of 2,219
its rank by overall score
Place in its category
3rd of 62 consumer lenders
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for GoodLeap

AI assistants rarely name this consumer lender, naming it in 2 out of 60 answers; Hearth and Mosaic are also named. GoodLeap's overall score is 39 out of 100, ranking 365th of 2,219 overall and 10th of 93 in its sector. Its website passes 4 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned GoodLeap by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 42nd 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
39Overall score
  • Visibility11
  • Citations1
  • Sentiment100
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
50.0%
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
10 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

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

  1. 01Where can U.S. homeowners find all-in-one solutions for project management and financing of green home upgrades?1/4
  2. 02Are there any fees associated with using home management and financing apps for eco-friendly renovations?0/4
  3. 03How can U.S. homeowners use software platforms to coordinate and track multiple home improvement projects?0/4
  4. 04Do home upgrade credit solutions actually save money for energy-efficient projects in the long run?0/4
  5. 05What alternatives exist to tech platforms for financing and managing large home improvements?0/4
  6. 06Which low-interest loan options are available for sustainable remodeling projects besides purpose-built home improvement loans?0/4
  7. 07What are some common ways to manage and pay for repairs in older homes aiming for better energy efficiency?0/4
  8. 08How do point-of-sale loans for sustainable home projects compare to traditional home equity lines of credit?0/4
  9. 09Home improvement financing vs. personal loans: which is better for energy-efficient remodels?0/4
  10. 10Is it worth using a dedicated home management platform for planning and financing green renovations?0/4
  11. 11What should homeowners do if their sustainable home project financing application is denied?0/4
  12. 12How can homeowners resolve issues when a contractor delays work on a financed home upgrade?0/4
  13. 13What is the typical interest rate range for home improvement loans targeting sustainable upgrades?0/4
  14. 14How can U.S. homeowners find reliable platforms to manage and fund eco-friendly home upgrades?1/4
  15. 15What are the best financing options for major home improvement projects focused on sustainability?0/4
Total namedOpenAI: 1/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 2/60
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

“Where can U.S. homeowners find all-in-one solutions for project management and financing of green home upgrades?”

U.S. homeowners can find all-in-one green-upgrade support through platforms that connect contractors, project coordination, and financing:

GoodLeap — Matches homeowners with licensed contractors and offers home-improvement loans, leases, and other financing for energy-efficient and sustainable projects.

Sealed — Helps homeowners and contractors design, manage, and finance weatherization and electrification projects, including efficiency upgrades.

National Energy Improvement Fund (NEIF) — Provides fixed-rate financing and supports projects such as HVAC, insulati …

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
    Hearth
    1
  2. 02
    Mosaic
    1

Share of mentions

CompanyShare
  1. GoodLeap
    50.0%
  2. Mosaic
    25.0%
  3. Hearth
    25.0%
  4. Sunlight Financial
    0.0%
  5. Renew Financial
    0.0%
  6. Loanpal (now rebranded as GoodLeap, but previously a competitor)
    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
    energystar.gov
    14
  2. 02
    har.com
    7
  3. 03
    bankrate.com
    7
  4. 04
    cleanenergycu.org
    7
  5. 05
    consumerfinance.gov
    7
  6. 06
    energy.gov
    6
  7. 07
    nerdwallet.com
    5
  8. 08
    homezada.com
    5
  9. 09
    joingerald.com
    4
  10. 10
    modernize.com
    3

GoodLeap is in the study as a consumer lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
1/15
Perplexity
1/15
Claude
0/15
Gemini
0/15
Market comparisonSection 06

How GoodLeap 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
11

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

Citations
1

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 lending and credit companies

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

Overall score
39
Ranks 10 of 93. Typical company: 31
Named in answers
3.3%
Ranks 42 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
39
Ranks 2 of 62. Typical company: 28
Named in answers
3.3%
Ranks 21 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. GoodLeap 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.goodleap.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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