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
September 23 to 28, 2026
when the AI assistants were asked
Account no.
923 of 2,219
its rank by overall score
Closing balance

Named in

2of 60 answers

by 2 of 4 assistants

Statement note

What this means for Assurant

AI assistants rarely name this auto and home insurer in their answers, mentioning it in 2 out of 60 answers, while sometimes naming Asurion and AKKO instead. Its overall score is 29 out of 100, ranking 923rd of 2,219 companies in the study. 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 Assurant by name. AI assistants named it in 2 of the 60 answers. Counting only how often it is named, it ranks 28th of 97 in its sector. The typical insurer is named in 1.7% 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
29Overall score
  • Visibility8
  • Citations1
  • Sentiment50
  • Site quality80
  • AI readiness29
Summary of account
Named by AI in
3.3%
2 of 60 answers
Share of mentions
22.2%
of the mentions of it and its 5 peers
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
40 of 97
by overall score, where the typical insurer scores 28

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Line itemsSection 01

Every question, and where the company came up

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

  1. 01How to address customer complaints related to auto protection plan claims?0/4
  2. 02Ways connected device protection can reduce churn for mobile service providers0/4
  3. 03Is it cost-effective for retailers to bundle device protection with new tech sales?0/4
  4. 04How much do businesses typically pay to offer protection plans for smartphones?0/4
  5. 05Alternatives to traditional auto protection plans for ride share fleets0/4
  6. 06Differences between home protection plans and homeowners insurance for consumer electronics0/4
  7. 07Common issues faced by businesses when implementing home protection support services0/4
  8. 08Examples of how support programs improve the experience for smart home device users0/4
  9. 09Business-friendly alternatives to device insurance for retail brands?1/4
  10. 10How can brands provide support solutions for smart home products?0/4
  11. 11Device insurance vs extended warranties for electronics – which offers more value for business clients?0/4
  12. 12What are some options besides extended warranties for consumer electronics protection?0/4
  13. 13Are auto protection services worth the investment for companies managing vehicle fleets?0/4
  14. 14What are the best ways for businesses to offer protection plans for connected devices?1/4
  15. 15What factors influence the cost of home protection solutions for brands?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 1/15All 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 Gemini actually said

An answer that names the company

Gemininamed the company

“Business-friendly alternatives to device insurance for retail brands?”

… Extended Warranties and Service Contracts: Instead of traditional insurance, retailers can offer their own extended warranties or service contracts. These plans cover defects in materials and workmanship after the manufacturer's warranty expires, and some can also include accidental damage protection. Companies like OnPoint Warranty, Extend, Assurant, Allstate Protection Plans (SquareTrade), and Mulberry specialize in providing and administering these types of programs for retailers. Offering extended warranties can drive revenue at the point of sale and build long-term recurring rev …

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
    Asurion
    2
  2. 02
    AKKO
    1

Share of mentions

CompanyShare
  1. Asurion
    33.3%
  2. SquareTrade (an Allstate company)
    33.3%
  3. Assurant
    22.2%
  4. AKKO
    11.1%
  5. Allianz Partners USA
    0.0%
  6. CPS Central (Consumer Priority Service)
    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
    verizon.com
    24
  2. 02
    justdial.com
    17
  3. 03
    consumeraffairs.com
    11
  4. 04
    asurion.com
    11
  5. 05
    business.att.com
    9
  6. 06
    cpscentral.com
    9
  7. 07
    assurant.com (its own website)
    7
  8. 08
    insurify.com
    7
  9. 09
    bbb.org
    6
  10. 10
    alibaba.com
    6

Assurant is in the study as an auto and home insurer.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How Assurant 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
8

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
50

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 insurers

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

Overall score
29
Ranks 40 of 97. Typical company: 28
Named in answers
3.3%
Ranks 28 of 97. Typical company: 1.7%
AI readiness
29
Ranks 22 of 97. Typical company: 29
Against its categorySection 08

Compared with auto and home insurers

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

Overall score
29
Ranks 10 of 22. Typical company: 29
Named in answers
3.3%
Ranks 9 of 22. Typical company: 1.7%
AI readiness
29
Ranks 8 of 22. 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. Assurant 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 5, 2026 · www.assurant.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

  • 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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