law.cornell.edu

Legal · AI Visibility

AI Visibility Check · Free 82-point audit ·

54/100
AI Visibility · At Risk
D
Grade

law.cornell.edu scored 54/100 (Fair)on GeoCore AI's free AI visibility check (). Audited 82 checks: 23 passed, 36 warnings, 16 failures. law.cornell.edu passed 23/82 AI visibility checks. GEO score: 54/100. Free check powered by GeoCore AI.

54
out of 100
Fair
23Passed
36Warnings
16Critical Failures
4Skipped
AI mentions you?
95.8K mentions
13.9K citation sources
vs. Justia
📊
54vs78
24 pts behind
Opportunities
🕳️
46 issues to fix
🟡 Critical
🏥 GEO / SEO / AEO Health Check
Live data
GEO Health
AI Generative Engine Optimization
View 34
50/100
AI Generative Engine Optimization · 34 checks
AI Search Bots Allowed
⚠️llms.txt Present
⚠️IndexNow Enabled
⚠️Perplexity Hub Listed
⚠️AI Agent Config
⚠️Agent-Readable Schema
llms.txt Agent Navigation
Turn-1 Content Optimization
Multi-Platform Citation Fit
⚠️ai.txt Present
⚠️AI Plugin Manifest
Citation Readiness (5W)
Brand Mention Consistency
⚠️Comparison Table
Ranking / List Density
⚠️Calculator / Interactive Tool
Content Extractability
Statistics Density
⚠️Question Headings (Site-wide)
⚠️Plain-Text Q&A Pairs
⚠️Plain-Text Step Instructions
Category-Specific Optimization
Brand Knowledge Consolidation
Freshness Signal (Enhanced)
⚠️Sub-Intent Coverage
Industry Detection (F3)
⚠️AI Overview Readiness (E4)
AI Readability (E5) (LLM, unified)
Content Readability (LAURAE) (LLM, unified)
Title Uniqueness (site-wide)
⚠️Answer Near the Top
⚠️Factually Specific
⚠️Content Length
⚠️Preview Control
SEO Health
Traditional Search Engine Score
View 16
62/100
Traditional Search Engine Score · 16 checks
robots.txt Exists
robots.txt Format Valid
⚠️Sitemap Declared in robots.txt
sitemap.xml Exists
⚠️humans.txt Present
Google Indexing Signal
Bing Indexing Signal
Canonical Consistency
Meta Description Quality
HTTPS Enabled
Title Consistency
Image Performance (WebP/AVIF/srcset/lazy)
Image Alt Quality
⚠️Core Web Vitals (E2) (local probe)
Social Card (OG/Twitter)
⚠️Mobile Friendliness
AEO Health
Answer Engine Optimization
View 21
57/100
Answer Engine Optimization · 21 checks
Article Content Identified
Article Schema Markup
FAQ Schema Quality
⚠️Organization Schema
⚠️BreadcrumbList Schema
⚠️Answer Capsule Content
Internal Links (Outbound)
Inbound Link Quality (rule estimate)
⚠️HowTo Schema Present
⚠️E-E-A-T Signals
Content Spam Compliance
⚠️High-Value AI Content Signals
⚠️Product Schema Present
⚠️Review / Rating Schema
Authoritative Outbound Links
⚠️Original Data Signal
⚠️Wikidata Entity Presence
⚠️ImageObject Schema (E3)
Accessibility (WCAG)
Schema JSON-LD Validation (E1)
⚠️Voice Search Readiness

Full Scan Results · 82 Checks

All 82 checks across 12 categories — including passed and skipped items.

🤖

AI Crawl Infrastructure

(11 checks 3 pass, 3 warn, 1 fail, 4 skip)

sitemap.xml Exists

sitemap.xml not found (404)

Fix: Create a sitemap.xml and submit it to Google Search Console and Bing Webmaster Tools. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed

Sitemap Declared in robots.txt

No Sitemap: directive in robots.txt

Fix: Add "Sitemap: https://yourdomain.com/sitemap.xml" to robots.txt 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

llms.txt Present

llms.txt not found (optional but recommended)

Fix: Consider creating /llms.txt following llmstxt.org spec. Note: major AI platforms have not yet officially confirmed support — treat as a forward-looking signal, not a critical fix. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

humans.txt Present

humans.txt not found (optional but supports E-E-A-T)

Fix: Create /humans.txt with team info, contact details, and update date. Helps AI engines verify authorship and expertise signals.

Warning

sitemap.xml Format Valid

Cannot check — sitemap.xml not available

Skipped

sitemap.xml Has <lastmod>

Cannot check — sitemap.xml not available

Skipped

No Dead Links in Sitemap

Cannot check — sitemap.xml not available

Skipped

llms.txt Consistency

llms.txt not present — consistency check skipped (non-critical)

Skipped

robots.txt Exists

robots.txt found and accessible

Passed

robots.txt Format Valid

robots.txt has valid User-agent directives

Passed

AI Search Bots Allowed

AI search bots allowed (OAI-SearchBot, PerplexityBot, Google-Extended detected)

Passed
🔍

Discovery & Indexing

(4 checks 2 pass, 2 warn)

IndexNow Enabled

IndexNow key file not found

Fix: Implement IndexNow to instantly notify Bing, Yandex, and other engines about new/updated pages.

Warning

Perplexity Hub Listed

No Perplexity Hub registration detected

Fix: Register your site on Perplexity Hub (hub.perplexity.ai) to improve AI search visibility.

Warning

Google Indexing Signal

Homepage is accessible (Google crawl likely possible)

Passed

Bing Indexing Signal

No Bingbot restrictions in robots.txt

Passed
📝

Content & Schema

(14 checks 5 pass, 6 warn, 3 fail)

Article Schema Markup

No Article schema markup detected on homepage or scanned content pages

Fix: Add JSON-LD Article schema to your content pages to help AI understand your content type. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed

FAQ Schema Quality

No FAQ schema detected

Fix: Add FAQPage JSON-LD schema with 8-10 Q&As (each 100+ chars). FAQ schema is one of the strongest signals for AI answer extraction. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed

Meta Description Quality

No meta description found

Fix: Add a compelling meta description (50-160 chars) to every page. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed

Organization Schema

No Organization schema detected

Fix: Add Organization JSON-LD schema to establish entity recognition with AI systems. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

BreadcrumbList Schema

No BreadcrumbList schema detected

Fix: Add BreadcrumbList schema to improve content hierarchy understanding by AI crawlers. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

Answer Capsule Content

No clear answer capsule content detected (LLM, unified)

Fix: Add concise, direct answer paragraphs at the top of key pages to improve AI citation potential.

Warning

HowTo Schema Present

No HowTo schema detected

Fix: Add HowTo JSON-LD schema to tutorial/guide pages. AI engines prominently feature step-by-step content with HowTo markup. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

E-E-A-T Signals

3/4 E-E-A-T signals detected (Experience, Authority, Trust). Missing: Expertise

Fix: Google March 2026 Core Update strengthened E-E-A-T weighting. Add signals for: Expertise. AI engines (Perplexity, ChatGPT) prioritize citing E-E-A-T-strong content. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

High-Value AI Content Signals

Only 1/3 quality signals detected (LLM, unified)

Fix: Add statistics, expert citations, and clear definitions.

Warning

Article Content Identified

Article-like content detected (article, blog, post)

Passed

Internal Links (Outbound)

127 internal links found on homepage

Passed

Canonical Consistency

Canonical consistent and single (https://www.law.cornell.edu)

Passed

Inbound Link Quality (rule estimate)

Rule-based estimate: canonical present, 128 internal links found. Real backlink/referring-domain data requires FullScan (paid unlock).

Fix: 🔒 Unlock real backlink analysis (referring domains, spam score, broken links) with FullScan. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Passed

Content Spam Compliance

No Google SpamBrain risk signals detected. Content appears compliant.

Passed

Technical Signals

(4 checks 2 pass, 1 warn)

Product Schema Present

No Product schema detected

Fix: Add Product JSON-LD schema (with name, description, offers) to product/pricing pages to improve AI recommendation visibility. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

HTTPS Enabled

Site uses HTTPS: https://www.law.cornell.edu/

Passed

Title Consistency

Page title found: "Welcome to LII | Legal Information Institute"

Passed
🤝

AI Agent Visibility

(3 checks 2 warn, 1 fail)

llms.txt Agent Navigation

No llms.txt — AI agents cannot efficiently discover your content

Fix: Create /llms.txt following llmstxt.org format. Only 19% of websites have AI agent-specific instructions; this is a key differentiator.

Failed

AI Agent Config

No AI agent configuration detected (ai-plugin.json, agent.json)

Fix: Create /.well-known/ai-plugin.json to make your service discoverable by AI agents (ChatGPT Plugins, OpenAI GPTs). 81% of companies still treat AI agents as generic bots — early movers gain significant visibility.

Warning

Agent-Readable Schema

No Agent-compatible Schema types found

Fix: Add Service/SoftwareApplication/Action JSON-LD schema. AI agents use structured data to understand your capabilities. AI Agent traffic now equals 88% of human organic search.

Warning
🌐

Multi-Platform Citation

(2 checks 2 fail)

Turn-1 Content Optimization

No Turn-1 optimization signals found (LLM, unified)

Fix: Add a clear definition and question-style heading near the top of the page.

Failed

Multi-Platform Citation Fit

Only 1/5 AI platform signals — highly undifferentiated

Fix: Each AI platform cites different content types. ChatGPT→authority schema; Perplexity→fresh content; Gemini→YouTube; Grok→twitter:card; Claude→tech docs. Only 7% of content cited across all platforms universally. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed
🔎

AI Discoverability

(4 checks 1 pass, 2 warn, 1 fail)

Citation Readiness (5W)

Only 0/5 citation signals found (LLM, unified) — low citation probability

Fix: Add Who (author), What (description), When (date), Where (location), How (methodology) signals. AI engines prefer content with clear provenance and structure.

Failed

ai.txt Present

ai.txt not found — AI agents lack explicit permission/usage directives

Fix: Create /ai.txt to declare which AI agents can use your content, usage restrictions, and attribution requirements. Emerging standard adopted by major AI companies.

Warning

AI Plugin Manifest

No AI plugin manifest found at /.well-known/ai-plugin.json

Fix: Create an AI plugin manifest to enable GPT Actions and AI agent integrations. This allows AI assistants to discover and interact with your site's functionality. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

Brand Mention Consistency

Brand "law" appears 31x (55.0/1000 words) with consistent usage

Passed
📈

Citation Enhancement (v3)

(16 checks 4 pass, 9 warn, 3 fail)

Statistics Density

No quantitative data found (LLM, unified)

Fix: Include specific numbers, percentages, and statistical claims backed by sources.

Failed

Brand Knowledge Consolidation

0 official platform profile(s) — insufficient brand presence signals

Fix: Create official profiles on LinkedIn, Twitter/X, and industry-specific platforms. Add them as sameAs links in your Organization schema.

Failed

Freshness Signal (Enhanced)

No publication or update date found on page or in sitemap

Fix: Add <lastmod> to sitemap XML AND visible "Last Updated" date with article:modified_time meta tag. AI engines strongly prefer fresh content (50% citations from ≤13 weeks). 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Failed

Comparison Table

No comparison table found on page

Fix: Add a comparison table highlighting your advantages vs alternatives. AI engines heavily cite comparison data.

Warning

Calculator / Interactive Tool

No calculator or interactive tool detected — consider adding one for engagement

Fix: Public calculators and estimation tools get ~39% more AI citations in finance/health/saas categories.

Warning

Review / Rating Schema

No Review or AggregateRating schema detected

Fix: Add AggregateRating schema to product/service pages. AI engines use review data as a recommendation signal. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

Original Data Signal

No original/proprietary data signal detected (LLM, unified)

Fix: Publish original research, proprietary statistics, or a documented methodology.

Warning

Question Headings (Site-wide)

Only 2 question heading(s)

Fix: Structure more headings as questions users actually ask (e.g., "How much does X cost?" "What is the best Y for Z?"). AI models treat question headings as direct answer targets. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

Plain-Text Q&A Pairs

Only 2 Q&A pair(s)

Fix: Add more short Q&A sections: question heading + concise answer (<300 chars). AI models prefer bite-sized, self-contained answer chunks. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

Warning

Plain-Text Step Instructions

No step-by-step instructions found

Fix: Add numbered step-by-step guides for how-to content. AI models prefer procedural content with clear sequential steps.

Warning

Wikidata Entity Presence

No Wikidata/Wikipedia reference detected — add one to strengthen knowledge-graph entity recognition

Fix: Create a Wikidata entry for your brand and add the Q-item ID to Organization schema sameAs. Wikipedia is the #1 cited source by ChatGPT (~7.8% of all citations).

Warning

Sub-Intent Coverage

Only 4 sub-intent(s) covered (LLM, unified): access legal resources, find primary sources, get legal information, learn about legal topics

Fix: Add content covering missing user intent topics (pricing, comparisons, tutorials, FAQs, use cases, etc.).

Warning

Ranking / List Density

17 list(s) with 91 items across scanned pages — good density for AI scanning

Passed

Authoritative Outbound Links

33 links to authoritative sources (.gov/.edu/Wikipedia/arXiv) across scanned pages

Passed

Content Extractability

Substantial text in raw HTML (522 words) — AI crawlable without JS execution

Passed

Category-Specific Optimization

Category detected: legal (confidence 0.98) — category-aware checks active

Fix: Category identified; industry-specific optimization guidance will deepen after onboarding.

Passed
🖼

Image & Visual (E3)

(4 checks 1 pass, 2 warn, 1 fail)

Image Performance (WebP/AVIF/srcset/lazy)

Images poorly optimized (4 missing: no WebP/AVIF; no srcset/sizes; no loading=lazy; no width/height (CLS risk))

Fix: Use WebP/AVIF, add srcset+sizes (picture fallback), loading=lazy + decoding=async, and explicit width/height to prevent CLS. Add ImageObject schema for AI/vision crawlers.

Failed

ImageObject Schema (E3)

ImageObject schema not found

Fix: Add ImageObject JSON-LD to richly describe key images for AI/vision crawlers (Google I/O 2026: AI can "see" images).

Warning

Core Web Vitals (E2) (local probe)

Local probe (TTFB): 34137ms — could be improved (CrUX/PSI unavailable, using scan-time avg TTFB)

Fix: Improve server response time (TTFB) — use CDN/edge caching and optimize backend. Real-user data will confirm after sufficient traffic.

Warning

Image Alt Quality

All 2 images have alt text (or empty alt for decorative) (2 images, 0 missing)

Passed
📋

Site Quality (v5)

(7 checks 2 pass, 3 warn, 2 fail)

Social Card (OG/Twitter)

Social Card incomplete (missing: og:description, og:image, og:title, og:title tag)

Fix: Add Open Graph tags: og:title (60-75 chars), og:description (150-200 chars), og:image (1200x630, absolute URL, <5MB). Add twitter:card=summary_large_image. These improve link previews on X/LinkedIn/WeChat and AI citation of page context.

Failed

Schema JSON-LD Validation (E1)

No JSON-LD structured data found

Fix: Add JSON-LD structured data (e.g. Organization, Website, Article) to help AI engines understand your content. Use https://validator.schema.org to validate.

Failed

Mobile Friendliness

Viewport OK; some touch targets may be too small for mobile

Fix: Add <meta name="viewport" content="width=device-width, initial-scale=1">, use font-size >= 16px, and ensure touch targets are >= 48x48px (WCAG 2.2 2.5.8). Full audit via Lighthouse mobile audit is recommended.

Warning

Voice Search Readiness

Voice Search not optimized (15/100) (LLM, unified) [Industry allowance: legal no typical use case for this item; downgraded to hint]

Fix: Add Speakable/FAQ schema, put a concise direct answer near the top (<=40 words), and use conversational phrasing. Voice/AI search favors short, quotable answers.

Warning

AI Overview Readiness (E4)

AI Overview readiness: 50/100 — partial [ai_crawl=20.0, answer_first=4.0, schema=4.0, citable=18.0, unique=4.0] (LLM, unified)

Fix: Opening lacks a direct answer. Lead your first 150 words with the core answer ("X is...", "Yes/No...") so AI Overview can quote it directly.<br>No AI-friendly structured data (FAQ/Article/HowTo/Product/Organization JSON-LD). Add schema.org markup so AI engines can extract and cite your content.<br>No original data points. AI Overviews prefer unique statistics, comparisons, or proprietary research as citation-worthy sources — add original numbers or a comparison table.

Warning

Accessibility (WCAG)

Accessibility base checks passed (labels, headings, contrast, ARIA)

Passed

Industry Detection (F3)

Industry detected: legal (LLM, confidence 0.98)

Passed
🧠

AI Readability (E5)

(2 checks 2 fail)

AI Readability (E5) (LLM, unified)

Weak AI readability (E5 44.8/100) (LLM) (unified) — Macro 0.4 / Meso 0.7 / Micro 0.0 · cited-prob 45%

Fix: Restructure for AI scanning: put an answer-first opening under H1, use a strict H1→H2→H3 hierarchy with balanced paragraphs, add bulleted key points, a comparison table, an early stats block, bold signals, an FAQ section, and semantic tags (article/section/main).

Failed

Content Readability (LAURAE) (LLM, unified)

No readable text found on page — Flesch 0.0 — Fog 0.0 — ARI 0.0

Fix: Add actual readable content to the page.

Failed
📁

Multi-Page Aggregation

(8 checks 2 pass, 4 warn)

Answer Near the Top

No direct answer signal in first 30% of content

Fix: Lead with the core answer in the first 30%% of text. CXL research: 55%% of AI citations come from the first 30%% of content.

Warning

Factually Specific

Low factual density: 0.00 data points per 200 words (need >=1)

Fix: Add more specific facts, statistics, percentages, or concrete figures. Studies show content with data gets ~40%% more AI citations.

Warning

Content Length

Content length 522 words (decent, aim >=800 for in-depth)

Fix: Expand content to at least 800 words. Token-dense pages let an LLM extract a complete answer.

Warning

Preview Control

Partial preview control — missing: meta description (30-160 chars)

Fix: Meta description, first paragraph, and FAQ schema control what AI previews. Add the missing: meta description (30-160 chars).

Warning

Title Uniqueness (site-wide)

All page titles unique across 1 page(s)

Passed

Contradiction Risk

No contradiction/misleading signals detected (LLM, unified)

Passed

22 checks passed

AI Reputation & Platform Citation

AI Reputation Score44.3

Risk level: high

Limited visibility into maintenance or completeness of the legal database compared with larger free legal portals

AI systems typically describe LII as a trusted free legal research source, but note that users should verify whether the specific statute, case, or state resource is current and fully covered before relying on it for research.

Potential overlap and confusion with Justia and other free legal research sites

AI answers usually position LII and Justia as similar free-access legal research portals, with LII framed as Cornell’s nonprofit resource and Justia as a broader legal information site; they may be interchangeable for basic research but not identical in coverage or presentation.

Free-access legal resources can have funding and sustainability constraints

AI platforms often explain that LII is a nonprofit public-service project and that free access to law requires ongoing support, so long-term sustainability and resource expansion can depend on institutional funding and maintenance.

🤖 Platform Sentiment

claude🙂 positive

LII is typically presented as a reputable nonprofit legal reference source with strong authority because it is affiliated with Cornell Law School. It is commonly framed as useful for statutes, case law, and legal explanations.

gemini😐 neutral

Legal Information Institute is generally described as a free legal information portal from Cornell Law School that provides access to legal materials and educational content. Descriptions are usually factual and comparative rather than promotional.

chatgpt🙂 positive

Legal Information Institute is usually described as a trusted Cornell Law School public-service site that provides free access to primary legal materials and explanatory resources. It is often recommended for general legal research and plain-language legal information.

perplexity🙂 positive

LII is typically summarized as a reliable, no-cost legal research resource from Cornell Law School that offers access to laws, cases, and legal explanations. It is often mentioned alongside Justia as one of the main free legal information sites.

Platform Breakdown
Live data
YouJustia
Platform
Mentions
Citations
Sentiment
Top3 Rank
Comp. Mentions
Comp. Citations
ChatGPT
0
0
🔒
0
0
Perplexity
12.5K
6
😊 pos
🔒
26.8K
7
Gemini
37.4K
8
😊 pos
🔒
128.3K
9
Claude
8.5K
12.0K
😐 neutral
🔒
15.0K
18.0K
Grok
37.4K
1.8K
😊 pos
🔒
128.0K
3.9K
Total
95.8K
13.9K src
298.1K
21.9K src

📡 5-Platform Crawler Access Radar

Robots.txt access permission per AI platform crawler (ChatGPT / Gemini / Perplexity / Grok / Claude). Citation-diversity dimension requires a full scan.

🤖 AI Agent Visibility Score
Agent Config + Schema + llms.txt Navigation (#32-#34)
33
ChatGPT
50🔒
Gemini
50🔒
Perplexity
50🔒
Grok
50🔒
Claude
50🔒

🛰 AI Overview Citation

Live Google AIO
3/3
Queries Citing You
#1
Best Position
3
Total Citations
AIO: Legal Information Institute (LII) is cited in 3/3 AI Overview answers — best position #1 in citations
Detected AI Overview Citations
What is Legal Information Institute (LII) and what does it do?✓ Cited
How does Legal Information Institute (LII) compare to alternatives in 2026?✓ Cited
What are the pros and cons of Legal Information Institute (LII)?✓ Cited
🔒 Unlock Full AI Citation Insights
🔒AI Citation Context
Where & how AI cites you
🔒Gemini Visibility
Google's own model citations
🔒Global AIO Tracking
Multi-country, multi-language
🔒AIO Trend
Citation changes over time
🔍
Google Index
Indexed — 2.0M pages found via site: search
2.0M pages
🅱️
Bing Index
Indexed — 50 pages found via site: search
50 pages
📈 Industry Insights
📡 Top Cited Sources
1pro.bloomberglaw.com5%
2news.bloomberglaw.com5%
3risingtrends.co3%
4rev.com3%
5legalintegrityproject.org3%
🔥 Hot Keywords
legallegal aidlegal aid near meillegal meaninglegal aid freelegal aid njlegal aid nyclegal exampleslegal aid of nc phone numbercommon legal words used in court

💬 Reddit Mentions

🔥 Trending Questions

What is the difference between Cornell LII and Justia for free legal research?
Search index: 86
How do I find the exact text of a federal law online for free?
Search index: 82
What are the best free legal research sites for cases and statutes?
Search index: 78

❄️ Underserved Questions

How do I use LII to research an obscure federal regulation by citation?
Search index: 42
Where can I find a plain-English explanation of a specific legal term on LII?
Search index: 36
How do I verify the current text of an older Supreme Court opinion online?
Search index: 29

About This Audit

Is law.cornell.edu visible to AI search engines?

law.cornell.edu scored 54/100 (Fair) on GeoCore AI's free AI visibility check as of August 22, 2026. Results: 23 passed, 36 warnings, 16 failures out of 82 checks. law.cornell.edu passed 23/82 AI visibility checks. GEO score: 54/100. Free check powered by GeoCore AI.

Does law.cornell.edu have llms.txt?

No — law.cornell.edu does not have a llms.txt file. Consider creating /llms.txt following llmstxt.org spec. Note: major AI platforms have not yet officially confirmed support — treat as a forward-looking signal, not a critical fix. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).

How can law.cornell.edu improve its AI visibility?

  • Create a sitemap.xml and submit it to Google Search Console and Bing Webmaster Tools.
  • Add JSON-LD Article schema to your content pages to help AI understand your content type.
  • Add FAQPage JSON-LD schema with 8-10 Q&As (each 100+ chars). FAQ schema is one of the strongest signals for AI answer extraction.
  • Add a compelling meta description (50-160 chars) to every page.
  • Create /llms.txt following llmstxt.org format. Only 19% of websites have AI agent-specific instructions; this is a key differentiator.
  • Add a clear definition and question-style heading near the top of the page.
  • Each AI platform cites different content types. ChatGPT→authority schema; Perplexity→fresh content; Gemini→YouTube; Grok→twitter:card; Claude→tech docs. Only 7% of content cited across all platforms universally.
  • Add Who (author), What (description), When (date), Where (location), How (methodology) signals. AI engines prefer content with clear provenance and structure.
  • Include specific numbers, percentages, and statistical claims backed by sources.
  • Create official profiles on LinkedIn, Twitter/X, and industry-specific platforms. Add them as sameAs links in your Organization schema.
  • Add <lastmod> to sitemap XML AND visible "Last Updated" date with article:modified_time meta tag. AI engines strongly prefer fresh content (50% citations from ≤13 weeks).
  • Use WebP/AVIF, add srcset+sizes (picture fallback), loading=lazy + decoding=async, and explicit width/height to prevent CLS. Add ImageObject schema for AI/vision crawlers.
  • Add Open Graph tags: og:title (60-75 chars), og:description (150-200 chars), og:image (1200x630, absolute URL, <5MB). Add twitter:card=summary_large_image. These improve link previews on X/LinkedIn/WeChat and AI citation of page context.
  • Add JSON-LD structured data (e.g. Organization, Website, Article) to help AI engines understand your content. Use https://validator.schema.org to validate.
  • Restructure for AI scanning: put an answer-first opening under H1, use a strict H1→H2→H3 hierarchy with balanced paragraphs, add bulleted key points, a comparison table, an early stats block, bold signals, an FAQ section, and semantic tags (article/section/main).
  • Add actual readable content to the page.

What does this 82-point check cover?

82 checks across 12 dimensions: AI Crawl Infrastructure (11 checks); Discovery & Indexing (4 checks); Content & Schema (14 checks); Technical Signals (4 checks); AI Agent Visibility (3 checks); Multi-Platform Citation (2 checks); AI Discoverability (4 checks); Citation Enhancement (v3) (16 checks); Image & Visual (E3) (4 checks); Site Quality (v5) (7 checks); AI Readability (E5) (2 checks); Multi-Page Aggregation (4 checks).

How do I make my site get cited by ChatGPT, Perplexity, Claude, Grok & Google AI?

The best way to improve your AI visibility is with a continuous optimization loop: (1) run a free GeoCore AI check to find gaps like missing llms.txt or weak structured data, (2) fix the highest-impact issues, then (3) monitor how your citations change as AI engines index your site. GeoCore AI tracks this for you so you can see real progress toward being cited by ChatGPT, Perplexity, Claude, Grok, and Google AI Overview.

Get cited by ChatGPT, Perplexity, Claude & Google AI

Run a free AI visibility checkfor your own domain, fix the gaps, then track your citations climbing with GeoCore AI's full GEO platform.