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R. J. Reynolds Tobacco

rjrt.com · Consumer goods

Ranked 1,763 of 2,047 companies in the study

26Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness29
What this means for R. J. Reynolds Tobacco

AI assistants do not name R. J. Reynolds Tobacco in any of their answers to questions about the market. The company has an overall score of 26 out of 100, ranking 1,763rd of 2,047 companies. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the consumer goods market: none named R. J. Reynolds Tobacco. AI assistants named it in none of 60 answers. The typical consumer goods company is named in 3.3% of answers. By how often it is named, R. J. Reynolds Tobacco ranks 77 of 118 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
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
88 of 118
by overall score, where the typical consumer goods company scores 30
How R. J. Reynolds Tobacco 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
0

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.

Compared with consumer goods

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

Overall score26
Ranks 88 of 118. Typical company: 30
Named in answers0%
Ranks 77 of 118. Typical company: 3%
AI readiness29
Ranks 24 of 118. Typical company: 21
What OpenAI actually said

The company is not named in this answer

“Most affordable US-made cigarettes for adult smokers on a budget”

Short answer — brands to look for (often among the cheapest that are manufactured in the U.S.):

Pyramid (Liggett/Vector) — discount, made in the U.S. where available. (elpasosmokeshops.com)

Montego (Liggett/Vector) — positioned as a value domestic brand. (smokesunit.com)

Silver Eagle / Eagle / USA (Vector & other U.S. manufacturers) — low-cost “value” brands that appear on state minimum‑price lists. ([nj. …

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

Liggett Group LLC
50.0%
Vector Group Ltd. (Liggett Vector Brands)
50.0%
R. J. Reynolds Tobacco
0.0%
Philip Morris USA
0.0%
ITG Brands
0.0%
Santa Fe Natural Tobacco Company
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
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 · rjrt.com · 2,047 companies scanned

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

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: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP 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

pmc.ncbi.nlm.nih.gov
54
tobaccocontrol.bmj.com
19
reddit.com
18
cdc.gov
14
tobaccoinsider.com
13
en.wikipedia.org
9
ec.europa.eu
9
alibaba.com
8
ncbi.nlm.nih.gov
7
bnbtobacco.com
7

In the study as Consumer brands.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How do menthol cigarettes compare to regular cigarettes in terms of taste and smoking experience?
  • What can cause a cigarette to burn unevenly or go out quickly?
  • Most affordable US-made cigarettes for adult smokers on a budget
  • Which type of cigarette is typically chosen for a lighter smoking experience?
  • What’s the average price range for a pack of cigarettes in the United States?
  • Best cigarette brands for those looking for smooth flavor profiles
  • Filtered vs unfiltered cigarettes—what's the main difference?
  • Do bulk purchases of tobacco products offer significant savings for adult consumers?
  • What are the most popular types of tobacco products available to adult smokers in the US?
  • What are common alternatives to traditional cigarettes for adult tobacco users?
  • Are premium cigarettes worth the higher price compared to value brands?
  • How do smokeless tobacco products compare to cigarettes for nicotine delivery?
  • Why do some tobacco products deliver a harsher smoke than others?
  • Are there specific tobacco products for those seeking slower burn rates?
  • Is there a meaningful difference between organic and traditional tobacco products?
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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