khanacademy.org
AI Visibility Check · Free 82-point audit ·
khanacademy.org scored 49/100 (Fair)on GeoCore AI's free AI visibility check (). Audited 82 checks: 25 passed, 26 warnings, 26 failures. khanacademy.org passed 25/82 AI visibility checks. GEO score: 49/100. Free check powered by GeoCore AI.
GEO HealthAI Generative Engine Optimization▸▾ View 3438/100
SEO HealthTraditional Search Engine Score▸▾ View 1880/100
AEO HealthAnswer Engine Optimization▸▾ View 2138/100
Full Scan Results · 82 Checks
All 82 checks across 12 categories — including passed and skipped items.
AI Crawl Infrastructure
(11 checks 7 pass, 3 warn, 1 skip)AI Search Bots Allowed
Only GPTBot configured — OAI-SearchBot (OpenAI's search crawler) missing
Fix: Add explicit "User-agent: OAI-SearchBot" Allow:/ rules. OAI-SearchBot now outnumbers GPTBot and controls ChatGPT search citations. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
sitemap.xml Format Valid
sitemap.xml does not contain <url> elements
Fix: Ensure your sitemap follows the standard XML sitemap protocol. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
sitemap.xml Has <lastmod>
No <lastmod> dates found in sitemap
Fix: Add <lastmod> dates to help search engines and AI crawlers understand content freshness. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Sitemap URL Count (dead-link check not run)
No URLs to check in sitemap
robots.txt Exists
robots.txt found and accessible
robots.txt Format Valid
robots.txt has valid User-agent directives
Sitemap Declared in robots.txt
Sitemap declared: https://www.khanacademy.org/sitemap.xml
sitemap.xml Exists
sitemap.xml found and accessible
llms.txt Present
llms.txt found — proactive AI crawler guidance in place
llms.txt Consistency
Both llms.txt and llms-full.txt are present and accessible
humans.txt Present
humans.txt found — team/contact info accessible to AI engines
Discovery & Indexing
(4 checks 3 pass, 1 warn)Perplexity Hub Listed
No Perplexity Hub registration detected
Fix: Register your site on Perplexity Hub (hub.perplexity.ai) to improve AI search visibility.
IndexNow Enabled
indexnow.txt found — fast URL indexing enabled
Google Indexing Signal
Homepage is accessible (Google crawl likely possible)
Bing Indexing Signal
No Bingbot restrictions in robots.txt
Content & Schema
(14 checks 3 pass, 7 warn, 4 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).
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).
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).
High-Value AI Content Signals
No high-value quality signals detected (LLM, unified)
Fix: Add statistics, expert citations, and clear definitions. Google SpamBrain rewards content that provides unique value beyond AI-generated filler.
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).
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).
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.
Internal Links (Outbound)
Only 1 internal links found
Fix: Add more internal links to help AI crawlers discover and understand your content structure. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Inbound Link Quality (rule estimate)
Rule-based estimate: 8 internal links, canonical present. 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).
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).
E-E-A-T Signals
2/4 E-E-A-T signals detected (Experience, Expertise). Missing: Authority, Trust
Fix: Google March 2026 Core Update strengthened E-E-A-T weighting. Add signals for: Authority, Trust. 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).
Article Content Identified
Article-like content detected (article, post, content)
Canonical Consistency
Canonical consistent and single (https://www.khanacademy.org/)
Content Spam Compliance
No Google SpamBrain risk signals detected. Content appears compliant.
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).
HTTPS Enabled
Site uses HTTPS: https://www.khanacademy.org/
Title Consistency
Page title found: "Khan Academy"
AI Agent Visibility
(3 checks 3 warn)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.
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.
llms.txt Agent Navigation
llms.txt present but missing section headers or URLs
Fix: Follow llmstxt.org spec: use # headings and include full URLs for each content section.
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.
Multi-Platform Citation Fit
Only 0/5 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).
AI Discoverability
(4 checks 2 pass, 1 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.
AI Plugin Manifest
ai-plugin.json found but contains invalid JSON
Fix: Fix the JSON syntax in /.well-known/ai-plugin.json. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
ai.txt Present
ai.txt found with 1369 directive(s) — signals AI-readiness to agents
Brand Mention Consistency
Brand "khanacademy" appears 4x (32.8/1000 words) with consistent usage
Citation Enhancement (v3)
(16 checks 1 pass, 5 warn, 10 fail)Ranking / List Density
No structured lists found
Fix: Add at least one ranked or comparison list. DataForSEO research: WalletHub-style rankings increase AI citations by ~95%. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Review / Rating Schema
No Review or AggregateRating schema detected (product/price signals found on site)
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).
Authoritative Outbound Links
No authoritative source links found
Fix: Cite peer-reviewed research, government data, or academic sources. AI models cross-reference authoritative links when generating answers. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Content Extractability
Near-empty raw HTML (2 words) — JS-rendered shell with little crawlable content
Fix: Enable server-side rendering (SSR) or pre-rendering. AI crawlers like ChatGPT/Gemini cannot execute JavaScript. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Statistics Density
No quantitative data found (LLM, unified)
Fix: Include specific numbers, percentages, and statistical claims backed by sources.
Question Headings (Site-wide)
No question-style headings found
Fix: Add FAQ-style headings matching real user queries. DataForSEO research shows question headings significantly improve AI answer matching. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Plain-Text Q&A Pairs
No question-answer pairs found
Fix: Structure key content as FAQ sections with question headings and short answers under 300 characters. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
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.
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).
Sub-Intent Coverage
No sub-intent coverage detected (LLM, unified)
Fix: Create dedicated pages or sections for each major user intent: pricing, features, comparisons, tutorials, FAQs.
Comparison Table
No comparison table found on page
Fix: Add a comparison table highlighting your advantages vs alternatives. AI engines heavily cite comparison data.
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.
Original Data Signal
No original/proprietary data signal detected (LLM, unified)
Fix: Publish original research, proprietary statistics, or a documented methodology.
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.
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).
Category-Specific Optimization
Category detected: education (confidence 0.99) — category-aware checks active
Fix: Category identified; industry-specific optimization guidance will deepen after onboarding.
Image & Visual (E3)
(4 checks 2 pass, 2 warn)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).
Core Web Vitals (E2) (local probe)
Local probe (TTFB): 34102ms — 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.
Image Performance (WebP/AVIF/srcset/lazy)
No <img> elements found
Image Alt Quality
No <img> elements found
Site Quality (v5)
(7 checks 2 pass, 1 warn, 4 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.
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.
Voice Search Readiness
Voice Search not optimized (0/100) (LLM, unified)
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.
AI Overview Readiness (E4)
AI Overview readiness: 34/100 — low [ai_crawl=16.0, answer_first=4.0, schema=4.0, citable=6.0, unique=4.0] (LLM, unified)
Fix: robots.txt blocks AI crawler(s): GPTBot. AI engines cannot fetch/cite your content — remove their Disallow or add an explicit Allow.<br>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>Content is hard to cite. Add a clear one-line brand definition, use bullet lists/tables, and keep sentences 10-22 words (AI engines favor concise quotable phrases).<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.
Accessibility (WCAG)
Accessibility issues: no h1 heading
Fix: Automated checks cover ~1/3 of WCAG 2.2. Fix identified issues and manually verify keyboard navigation, focus indicators, and screen-reader flow. Add labels to form inputs, ensure one h1, adequate color contrast (4.5:1 body), and a skip-to-content link.
Mobile Friendliness
Mobile friendly: viewport present, adequate font size and touch targets
Industry Detection (F3)
Industry detected: education (LLM, confidence 0.99)
AI Readability (E5)
(2 checks 2 fail)AI Readability (E5) (LLM, unified)
Weak AI readability (E5 8.2/100) (LLM) (unified) — Macro 0.0 / Meso 0.0 / Micro 0.0 · cited-prob 8%
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).
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.
Multi-Page Aggregation
(8 checks 2 pass, 2 warn, 1 fail, 1 skip)Preview Control
No preview control — add meta description, answer-first paragraph, and FAQ
Fix: Add a 30-160 char meta description, lead with a direct-answer first paragraph, and add FAQPage schema.
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.
Content Length
Content length 2 words — very thin, hard for AI to extract
Fix: Add substantive in-depth content (800+ words). Insufficient tokens prevent LLMs from extracting a full answer.
Answer Near the Top
Page too short to assess answer position (need >=30 words)
Title Uniqueness (site-wide)
All page titles unique across 1 page(s)
Contradiction Risk
No contradiction/misleading signals detected (LLM, unified)
✅ 24 checks passed
AI Reputation & Platform Citation
Risk level: high
Limited advanced and specialized coursework compared with professional learning platforms
AI systems typically describe Khan Academy as excellent for foundational K-12 and early college concepts, but not a substitute for advanced, career-focused, or certificate-based training; they often note that Coursera is stronger for professional upskilling and credentials.
Weak support or lack of live help when students get stuck
AI answers commonly say Khan Academy is self-paced and useful for independent learning, but support is limited and there is little live instruction or immediate human assistance when learners need help.
App reliability and UX issues, especially on mobile
AI platforms often summarize user complaints about occasional crashes, freezing, loading issues, and an interface that can feel dated or awkward in parts, while still noting the platform’s strong educational value and free access.
🤖 Platform Sentiment
Khan Academy is commonly presented as a trusted, nonprofit education resource with clear explanations and strong value for learners and teachers. Descriptions usually emphasize its strengths in foundational subjects and accessible instruction.
Khan Academy is typically described as a free online learning platform with broad coverage of core academic topics. Responses often add that it is less suited to advanced specialization or professional certification than platforms like Coursera.
Khan Academy is usually described as a free, high-quality learning platform for math, science, and other fundamentals. It is often framed as best for self-paced academic learning rather than credentials or job training.
Khan Academy is generally characterized as a well-regarded, free platform for mastering fundamentals through self-paced lessons and practice. It is commonly contrasted with Coursera, which is better suited for certificates, career advancement, and university-backed courses.
📡 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 Overview Citation
Live Google AIO💬 Reddit Mentions
🔥 Trending Questions
❄️ Underserved Questions
About This Audit
Is khanacademy.org visible to AI search engines?
khanacademy.org scored 49/100 (Fair) on GeoCore AI's free AI visibility check as of August 22, 2026. Results: 25 passed, 26 warnings, 26 failures out of 82 checks. khanacademy.org passed 25/82 AI visibility checks. GEO score: 49/100. Free check powered by GeoCore AI.
Does khanacademy.org have llms.txt?
Yes — khanacademy.org has a valid llms.txt file, making it directly readable by AI language models like ChatGPT and Claude.
How can khanacademy.org improve its AI visibility?
- •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.
- •Add statistics, expert citations, and clear definitions. Google SpamBrain rewards content that provides unique value beyond AI-generated filler.
- •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.
- •Add at least one ranked or comparison list. DataForSEO research: WalletHub-style rankings increase AI citations by ~95%.
- •Add AggregateRating schema to product/service pages. AI engines use review data as a recommendation signal.
- •Cite peer-reviewed research, government data, or academic sources. AI models cross-reference authoritative links when generating answers.
- •Enable server-side rendering (SSR) or pre-rendering. AI crawlers like ChatGPT/Gemini cannot execute JavaScript.
- •Include specific numbers, percentages, and statistical claims backed by sources.
- •Add FAQ-style headings matching real user queries. DataForSEO research shows question headings significantly improve AI answer matching.
- •Structure key content as FAQ sections with question headings and short answers under 300 characters.
- •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).
- •Create dedicated pages or sections for each major user intent: pricing, features, comparisons, tutorials, FAQs.
- •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.
- •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.
- •robots.txt blocks AI crawler(s): GPTBot. AI engines cannot fetch/cite your content — remove their Disallow or add an explicit Allow.<br>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>Content is hard to cite. Add a clear one-line brand definition, use bullet lists/tables, and keep sentences 10-22 words (AI engines favor concise quotable phrases).<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.
- •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.