- Visibility16
- Citations3
- Sentiment79
- Site quality60
- AI readiness14
AI assistants name Miller Industries in 11.7% of answers, which is higher than the typical company in its sector. Its overall score is 32 out of 100, ranking 1,046th of 2,047 studied. The company's website passes 2 of 14 technical checks for how ready it is for AI tools.
We asked 15 unbranded questions about the automotive market: none named Miller Industries. AI assistants named it in 7 of 60 answers (11.7%). The typical automotive company is named in 5.0% of answers. By how often it is named, Miller Industries ranks 11 of 49 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.
49 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“How much should I expect to pay for a new heavy-duty integrated wrecker in the US?”
Based on current pricing information, heavy-duty integrated wreckers can reach $250K–$650K+ new (up to $1M+).
More specifically, a new Freightliner 114SD chassis equipped with a Miller Industries Century 9055 integrated wrecker typically falls within the $250,000 to $300,000 range. However, a new heavy-duty model generally starts around $200,000 and can easily exceed $650,000 for the most complex configurations.
The final cost varies significantly based on several factors, including:
The body style (wheel-lift vs rollback/carrier vs integrated rotator), underlift/boom tonnage and boom rea …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
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%SitemapNot met
Serve an XML sitemap and reference it 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 negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- 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%WebMCPNot met
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 16 of 100 · 100% of checks could run · checked on October 4, 2026 · millerind.com · 2,047 companies scanned
2 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%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit 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 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.
- GPTBotallowed
- ClaudeBotallowed
- Anthropic-AIallowed
- Google-Extendedallowed
- Applebot-Extendedallowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBotallowed
- Claude-SearchBotallowed
- PerplexityBotallowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- 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.
How many times each website was listed as a source in these answers
In the study as Consumer brands.
- How much should I expect to pay for a new heavy-duty integrated wrecker in the US?
- Top features to look for in a light-duty wrecker for roadside recovery
- Best towing equipment for handling rollover recoveries on highways
- Alternatives to rotator tow trucks for handling complex recovery situations
- Average maintenance costs for car carriers used in fleet operations
- Recommended features for tow trucks used in winter weather conditions
- Is investing in a medium-duty tow truck worthwhile for a small towing fleet?
- Are specialty rotators worth the higher price for urban recovery operations?
- How does an industrial carrier compare to a standard car carrier in terms of capacity?
- What are the best heavy-duty tow trucks for commercial towing businesses in the US?
- Differences between flatbeds and integrated wreckers for accident recovery
- Most versatile car carriers for transporting multiple vehicles
- Common causes of hydraulic system failure in heavy-duty wreckers
- Which type of wheel lift system is best for frequent roadside assistance jobs?
- Pros and cons of using a rotator versus a conventional heavy-duty wrecker
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/millerind.com"><img src="https://aeo-audit.rezolve.com/us/badges/millerind.com.svg" alt="Overall score 32 of 100, US AI Visibility Study 2026" width="280" height="64"></a>