- Visibility17
- Citations1
- Sentiment69
- Site quality53
- AI readiness43
AI assistants name LKQ in 10% of answers, which is twice as often as the typical company in the automotive sector. LKQ has an overall score of 32 out of 100, ranking 1,052nd of 2,047 companies. Its website passes 6 out of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the automotive market: none named LKQ. AI assistants named it in 6 of 60 answers (10.0%). The typical automotive company is named in 5.0% of answers. By how often it is named, LKQ ranks 14 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
“Recommended aftermarket solutions for common collision repairs”
For common collision repairs, the most practical aftermarket solutions are usually replacement parts sourcing, repair consumables, estimating/parts-ordering software, and refinishing products that match OEM repair procedures where required.
Replacement body parts: LKQ supplies recycled, reconditioned, remanufactured, refurbished, and aftermarket parts such as bumpers, fenders, hoods, mirrors, lamps, wheels, and door assemblies; it also offers aftermarket bumper lines with a limited lifetime warranty.
Parts sourcing and ordering software: OEC …
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 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 discoveryPartly met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourcePassed
Metadata telling agents which authorization server to use.
- 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 31 of 100 · 97% of checks could run · checked on October 5, 2026 · lkqcorp.com · 2,047 companies scanned
6 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%
- 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%
- PassedOAuth Authorization Server discoverystudy: 10.1%
- PassedOAuth 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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as Consumer brands.
- Are aftermarket headlamps a good option compared to original equipment replacements?
- Best type of automotive parts to use for restoring an older SUV
- Recommended aftermarket solutions for common collision repairs
- Common issues when replacing vehicle bumpers with aftermarket parts
- What are the best places to buy recycled auto parts for late-model vehicles in the United States?
- Is it worth buying recycled auto parts for a daily driver?
- How much do recycled transmission assemblies typically cost compared to new ones?
- Why do some recycled car doors have trouble with window alignment?
- Top-rated aftermarket brake components for collision repair shops
- How do OEM, aftermarket, and recycled car body panels compare in quality and fit?
- Difference between aftermarket and recycled automotive parts for engine repairs
- What are some reliable sources for non-OEM replacement parts for truck fleets?
- Alternatives to brand new parts for keeping a high-mileage car running
- Average price difference between aftermarket and OEM fenders in the US
- Where do auto repair shops source affordable alternative parts for late-model vehicles?
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/lkqcorp.com"><img src="https://aeo-audit.rezolve.com/us/badges/lkqcorp.com.svg" alt="Overall score 32 of 100, US AI Visibility Study 2026" width="280" height="64"></a>