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Lubrizol

lubrizol.com · Industrial

Ranked 1,838 of 2,047 companies in the study

25Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality80
  • AI readiness14
What this means for Lubrizol

AI assistants do not name Lubrizol in any of their answers out of 60 tested. Lubrizol has an overall score of 25 out of 100, which ranks 1,838th of 2,047 companies. Its website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the industrial market: none named Lubrizol. AI assistants named it in none of 60 answers. The typical industrial company is named in 5.0% of answers. By how often it is named, Lubrizol ranks 191 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
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
217 of 246
by overall score, where the typical industrial company scores 31
How Lubrizol 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
0

How often AI assistants name the company

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
14

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 score25
Ranks 217 of 246. Typical company: 31
Named in answers0%
Ranks 191 of 246. Typical company: 5%
AI readiness14
Ranks 207 of 246. Typical company: 21
What OpenAI actually said

The company is not named in this answer

“How much do high-performance chemical additives typically cost for bulk industrial orders?”

Short answer — it varies a lot by additive type and spec, but for bulk industrial orders you’ll commonly see unit costs in these broad bands:

Commodity/low‑spec additives (simple dispersants, basic stabilizers, some curing agents sold from large Chinese plants): roughly $1–$5 per kg. (astra-chemical.com)

Mid‑range performance additives (technical antioxidants, common specialty antioxidants, many lubricity/dispersant grades, typical epoxy hardeners when bought in tonnage): roughly $4–$20 per kg. (indexbox.io …

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

Named instead
BASF1
Share of mentions

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

BASF
100.0%
Lubrizol
0.0%
Ashland
0.0%
Evonik Industries
0.0%
Afton Chemical
0.0%
Croda International
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
0/15
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

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 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%
  • WebMCPNot met

    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 24 of 100 · 100% of checks could run · checked on October 4, 2026 · www.lubrizol.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 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%
  • Not metToken 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

pmc.ncbi.nlm.nih.gov
24
pubs.acs.org
10
specialchem.com
10
en.wikipedia.org
8
image-ppubs.uspto.gov
7
stle.org
7
alibaba.com
7
made-in-china.com
7
sciencedirect.com
6
marketsandmarkets.com
6

In the study as Large private companies.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What factors affect pricing for performance chemicals in the United States?
  • How are specialty polymers applied in personal care products?
  • What are common uses for specialty chemical additives in industrial applications?
  • How do polymer additives compare to surfactants for enhancing product stability?
  • Differences between oil additive types used in transportation vs. industrial machinery
  • Alternatives to petroleum-based additives for biodegradable formulations
  • Typical applications for advanced lubricant additives in heavy-duty engines
  • Why might a chemical additive not be compatible with my formulation?
  • Best performance materials for improving automotive fluid efficiency
  • Are specialty chemical additives worth the investment for manufacturers?
  • What are some sustainable options for enhancing plastic performance besides traditional additives?
  • What should I look for when choosing performance-enhancing materials for lubricants?
  • How much do high-performance chemical additives typically cost for bulk industrial orders?
  • Emerging trends in the development of advanced specialty chemicals for U.S. industries
  • What causes foaming issues in industrial fluid systems?
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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