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Meritage Homes

meritagehomes.com · Industrial · MTH

Ranked 1,557 of 2,047 companies in the study

27Overall score
  • Visibility8
  • Citations0
  • Sentiment50
  • Site quality73
  • AI readiness21
What this means for Meritage Homes

AI assistants rarely name Meritage Homes, mentioning it in 1 of 60 answers. Its overall score is 27 out of 100, which ranks 1,557th of 2,047. The website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the industrial market: none named Meritage Homes. AI assistants named it in 1 of 60 answers (1.7%). The typical industrial company is named in 5.0% of answers. By how often it is named, Meritage Homes ranks 159 of 246 in its sector.

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 rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
16.7%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
177 of 246
by overall score, where the typical industrial company scores 31
How Meritage Homes compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
8

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
73

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.

Compared with industrial

246 companies in this sector. The line on each bar is the typical company.

Overall score27
Ranks 177 of 246. Typical company: 31
Named in answers2%
Ranks 159 of 246. Typical company: 5%
AI readiness21
Ranks 107 of 246. Typical company: 21
What Gemini actually said

An answer that names the company

“What are the best ways to find new construction homes with energy-efficient features?”

Finding new construction homes with energy-efficient features is becoming increasingly easier as more builders prioritize sustainability. Here's how you can find them:

1. Look for Certifications and Ratings:

ENERGY STAR Certified Homes: Homes with this government-backed label meet strict energy efficiency requirements set by the EPA. They are designed and built to be more energy-efficient from the ground up, offering peace of mind, wall-to-wall comfort, enduring quality, and proven value. You can find ENERGY STAR certified homes and builders on their website.

DOE Efficien …

The AI’s answer as we received it, shortened and not checked for accuracy.

Share of mentions

How the mentions in these answers were split between this company and its rivals

Meritage Homes
100.0%
Lennar
0.0%
DR Horton
0.0%
Pulte Homes
0.0%
Toll Brothers
0.0%
KB Home
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Perplexity
0/15
Claude
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, 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 buy here?

Not by itself. Meritage Homes publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The shop runs on Magento.

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: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.meritagehomes.com · 2,047 companies scanned

See how every company did, and how this was measured.

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: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% 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.

Websites the AI used as sources

How many times each website was listed as a source in these answers

newhomesource.com
33
homes.com
28
zillow.com
20
redfin.com
19
realtor.com
18
energystar.gov
15
johnhenryhomes.com
8
nahb.org
8
energy.gov
8
nar.realtor
7

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Are move-in ready new homes worth the premium compared to semi-custom options?
  • What features should families look for in new home communities with growing children?
  • Are builder incentives common when purchasing new construction homes, and what do they typically cover?
  • Options for homebuyers who want energy efficiency without purchasing new construction?
  • What are alternatives to buying a brand new home for buyers seeking modern features?
  • Newly constructed single-family homes vs townhomes—what are the main differences for buyers?
  • How to resolve delays in the closing process for newly constructed properties?
  • Is purchasing a new construction home a good investment for first-time buyers?
  • What are the benefits of buying a newly built home in a master-planned community?
  • Common issues to watch for during the walkthrough of a newly built home?
  • How do new home communities compare to custom-built homes in terms of timeline and convenience?
  • What should buyers consider if choosing between a newly built home and a recently renovated resale property?
  • Which regions in the US have the most options for newly built homes under $400,000?
  • What are the best ways to find new construction homes with energy-efficient features?
  • How is the price of a brand new home determined in the current US market?
named the companyanswered without naming itdid not answer

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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