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.
286 of 2,219
its rank by overall score
Place in its category
3rd of 10 mortgage lenders
Closing balance

Named in

16of 60 answers

by 4 of 4 assistants

Statement note

What this means for Qualia

AI assistants name this mortgage lender in 26.7% of answers, much more often than the typical company in its sector, which is named in 3.3%. Qualia has an overall score of 39 out of 100, ranking 286th of 2,219 companies. Its website passes 3 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Qualia by name. AI assistants named it in 16 of the 60 answers. Counting only how often it is named, it ranks 7th of 93 in its sector. The typical lending and credit company is named in 3.3% of answers.

Overall score
39Overall score
  • Visibility26
  • Citations4
  • Sentiment75
  • Site quality80
  • AI readiness21
Summary of account
Named by AI in
26.7%
16 of 60 answers
Share of mentions
28.1%
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
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

Qualia came up on 6 of 15 questions. Open any window to read that answer.

  1. 01Digital closing platforms vs hybrid settlement solutions: pros and cons?0/4
  2. 02How does title production software compare to traditional paper processes?0/4
  3. 03Are there affordable digital title settlement solutions for smaller agencies?2/4
  4. 04What are common issues when integrating digital closing platforms with existing workflows?0/4
  5. 05Is investing in end-to-end real estate settlement platforms worth the cost?0/4
  6. 06How can wire fraud detection tools in closing software help prevent transaction risks?0/4
  7. 07Low-tech options for managing real estate closing workflows without specialized software?0/4
  8. 08How can escrow agents streamline document management with digital closing tools?0/4
  9. 09What other tools can title companies use instead of integrated closing systems?3/4
  10. 10Which settlement software improves efficiency for escrow agents?3/4
  11. 11What should real estate professionals look for in digital closing software?0/4
  12. 12What is the typical price range for real estate production and closing platforms in the US?2/4
  13. 13Best practices for lenders using cloud-based settlement software in remote transactions?0/4
  14. 14What are the best digital real estate closing platforms for title companies?4/4
  15. 15What are alternatives to all-in-one digital closing platforms for settlement services?2/4
Total namedOpenAI: 2/15Claude: 4/15Perplexity: 4/15Gemini: 6/15All assistants: 16/60
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

“Which settlement software improves efficiency for escrow agents?”

Qualia is the strongest all-around choice for escrow agents seeking efficiency. It combines title production, escrow accounting, document preparation, task automation, reporting, and client communication in one cloud-based workflow, reducing duplicate data entry and helping teams close more orders faster.

Other strong options include:

RamQuest Complete Closing Solution: Best for configurable, established title and settlement operations; it supports escrow accounting, bank reconciliation, automated task assignment, vendor management, document imaging, and centralized closing c …

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
    SoftPro
    17
  2. 02
    RamQuest
    13
  3. 03
    Snapdocs
    3

Share of mentions

CompanyShare
  1. Qualia
    28.1%
  2. SoftPro
    22.8%
  3. Resware
    22.8%
  4. RamQuest
    21.1%
  5. Snapdocs
    5.3%
  6. ClosingCorp
    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
    certifid.com
    25
  2. 02
    zipdo.co
    21
  3. 03
    gitnux.org
    14
  4. 04
    qualia.com (its own website)
    14
  5. 05
    worldmetrics.org
    12
  6. 06
    proof.com
    11
  7. 07
    wifitalents.com
    8
  8. 08
    closinglock.com
    7
  9. 09
    sourceforge.net
    7
  10. 10
    alta.org
    5

Qualia is in the study as a mortgage lender.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
6/15
Perplexity
4/15
Claude
4/15
OpenAI
2/15
Market comparisonSection 06

How Qualia 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
26

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

Citations
4

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

Sentiment
75

How positively AI describes the company

Site quality
80

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
39
Ranks 10 of 93. Typical company: 31
Named in answers
26.7%
Ranks 7 of 93. Typical company: 3.3%
AI readiness
21
Ranks 52 of 93. Typical company: 29
Against its categorySection 08

Compared with mortgage lenders

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

Overall score
39
Ranks 3 of 10. Typical company: 36
Named in answers
26.7%
Ranks 1 of 10. Typical company: 3.3%
AI readiness
21
Ranks 5 of 10. Typical company: 21
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. Qualia 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 · www.qualia.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

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

  • 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 39 of 100 badge for Qualia

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