- Visibility20
- Citations5
- Sentiment77
- Site quality80
- AI readiness50
AI assistants name LendingTree in 18.3% of answers, which is more often than the typical company in the finance sector at 3.3%. Its overall score is 41 out of 100, ranking 324th of 2,047 companies. The LendingTree website passes 7 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the finance market: none named LendingTree. AI assistants named it in 11 of 60 answers (18.3%). The typical finance company is named in 3.3% of answers. By how often it is named, LendingTree ranks 29 of 205 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
205 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“How do online loan marketplaces differ from going directly to lenders?”
Online loan marketplaces and direct lenders offer different approaches to securing a loan. The primary distinctions lie in the number of options available, the application process, and the potential impact on your credit.
Online Loan Marketplaces:
Wider Range of Offers: Marketplaces act as intermediaries, connecting borrowers with multiple lenders through a single application. This allows you to compare various loan offers, including different interest rates, term lengths, and loan amounts. Companies like Lendio, for example, partner with a large network of lenders to provide opti …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- study: 25.1%llms.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%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: 0.1%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: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 54 of 100 · 97% of checks could run · checked on October 5, 2026 · www.lendingtree.com · 2,047 companies scanned
7 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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
This website sets rules for 9 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AIpartly
- Google-Extended*partly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBot*partly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBot*partly
- PerplexityBot*partly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*partly
- Claude-User*partly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- How do online loan marketplaces differ from going directly to lenders?
- Is using an online financial marketplace worth it to save money on loans?
- How can I quickly compare multiple credit card offers to find the best rewards?
- What are some alternatives to using an online platform for comparing financial products?
- What's the easiest way to check and track my credit score online for free?
- Why am I not seeing any loan offers after submitting my information online?
- Personal loans vs. credit cards: Which makes more sense for debt consolidation?
- Can comparing home insurance quotes online really lower my monthly premiums?
- Mortgage broker vs. online rate comparison — what's better for getting the lowest rate?
- What's the best way to compare mortgage offers online?
- Best online platforms to compare auto loan rates in real time
- Are online loan comparison tools safe to use for personal information?
- What should I do if online mortgage rate quotes seem much higher than advertised?
- Do online financial marketplaces charge any fees to compare loans or insurance?
- How can I find top-rated personal loan options for good credit?
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.
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<a href="https://aeo-audit.rezolve.com/us/lendingtree.com"><img src="https://aeo-audit.rezolve.com/us/badges/lendingtree.com.svg" alt="Overall score 41 of 100, US AI Visibility Study 2026" width="280" height="64"></a>