- Visibility26
- Citations1
- Sentiment56
- Site quality47
- AI readiness21
AI assistants name LexisNexis in 30% of answers, which is more often than the typical company in its sector. Its overall score is 29 out of 100, ranking 1,290th of 2,047 companies. The website passes 3 of 14 technical checks showing its level of readiness for AI tools.
We asked 15 unbranded questions about the media market: none named LexisNexis. AI assistants named it in 18 of 60 answers (30.0%). The typical media company is named in 15.0% of answers. By how often it is named, LexisNexis ranks 34 of 99 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.
99 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best legal research tools for law firms in the US?”
I'll search for information about the best legal research tools available for law firms in the US.Based on current information, here are the best legal research tools for law firms in the US:
Primary Comprehensive Platforms
Westlaw and LexisNexis are the best options for full-service firms.
Westlaw Edge: Developed by Thomson Reuters, Westlaw Edge is renowned for its AI-enhanced legal search and offers predictive case analysis to help attorneys assess case outcomes based on historical legal data. Westlaw is often preferred for US case-law depth, its KeyCite citator and Lex Machina …
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.txtPartly met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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%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 37 of 100 · 97% of checks could run · checked on October 5, 2026 · www.lexisnexis.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML 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.
- GPTBotblocked
- ClaudeBotblocked
- Anthropic-AIblocked
- Google-Extendedblocked
- Applebot-Extendedblocked
- Meta-ExternalAgentblocked
- FacebookBotblocked
- Bytespiderblocked
- CCBotblocked
- Diffbotblocked
- Omgilibotblocked
- OAI-SearchBotblocked
- Claude-SearchBotblocked
- PerplexityBotblocked
- Applebotblocked
- Amazonbotblocked
- YouBotblocked
- ChatGPT-Userblocked
- Claude-Userblocked
- Perplexity-Userblocked
- DuckAssistBotblocked
- MistralAI-Userblocked
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 there free or low-cost data analytics tools for compliance checks?
- What are the best legal research tools for law firms in the US?
- Where can professionals find up-to-date legal news and business insights?
- What are some alternatives to AI-powered legal research software?
- Why is my legal research search returning irrelevant results?
- Which platforms offer advanced risk data analytics for corporations?
- Is a subscription-based legal research platform worth it for solo practitioners?
- How do legal research databases compare to traditional law libraries?
- What is the typical cost of enterprise-level legal research services in the US?
- Risk data analytics vs. manual compliance checks—what are the key differences?
- What features help government agencies detect fraud using risk analytics tools?
- How can I resolve issues with accessing case law databases remotely?
- How can academic institutions use legal research solutions for teaching?
- Do risk analytics services provide enough value for small businesses?
- Which platforms can replace traditional legal analytics tools?
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/lexisnexis.com"><img src="https://aeo-audit.rezolve.com/us/badges/lexisnexis.com.svg" alt="Overall score 29 of 100, US AI Visibility Study 2026" width="280" height="64"></a>