amazon.com
AI Visibility Check · Free 82-point audit ·
amazon.com scored 38/100 (Poor)on GeoCore AI's free AI visibility check (). Audited 82 checks: 13 passed, 30 warnings, 30 failures. amazon.com passed 13/82 AI visibility checks. GEO score: 38/100. Free check powered by GeoCore AI.
GEO HealthAI Generative Engine Optimization▸▾ View 3327/100
SEO HealthTraditional Search Engine Score▸▾ View 1659/100
AEO HealthAnswer Engine Optimization▸▾ View 2135/100
Full Scan Results · 82 Checks
All 82 checks across 12 categories — including passed and skipped items.
AI Crawl Infrastructure
(11 checks 2 pass, 4 warn, 1 fail, 4 skip)AI Search Bots Allowed
4 AI search bot(s) blocked: OAI-SearchBot, PerplexityBot, Google-Extended, ClaudeBot
Fix: CRITICAL: Remove Disallow:/ for OAI-SearchBot. Search bots directly control AI citation ability. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
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).
sitemap.xml Exists
sitemap.xml returned status 500
Fix: Ensure sitemap.xml is publicly accessible. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
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).
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.
sitemap.xml Format Valid
Cannot check — sitemap.xml not available
sitemap.xml Has <lastmod>
Cannot check — sitemap.xml not available
No Dead Links in Sitemap
Cannot check — sitemap.xml not available
llms.txt Consistency
llms.txt not present — consistency check skipped (non-critical)
robots.txt Exists
robots.txt found and accessible
robots.txt Format Valid
robots.txt has valid User-agent directives
Discovery & Indexing
(4 checks 1 pass, 3 warn)IndexNow Enabled
IndexNow key file not found
Fix: Implement IndexNow to instantly notify Bing, Yandex, and other engines about new/updated pages.
Perplexity Hub Listed
No Perplexity Hub registration detected
Fix: Register your site on Perplexity Hub (hub.perplexity.ai) to improve AI search visibility.
Google Indexing Signal
Homepage returned status 202
Fix: Ensure your homepage is publicly accessible for search engine crawling. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Bing Indexing Signal
No Bingbot restrictions in robots.txt
Content & Schema
(14 checks 1 pass, 6 warn, 7 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).
Internal Links (Outbound)
No internal links detected
Fix: Add internal links to connect your content and improve AI crawler navigation. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
Canonical Consistency
No rel=canonical tag found
Fix: Add a self-referencing canonical tag: <link rel="canonical" href="PAGE_URL"/>. Google uses it to consolidate duplicate URLs and it helps AI crawlers identify the authoritative version. 🔄 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).
E-E-A-T Signals
Only 1/4 E-E-A-T signals detected. Missing: Expertise, Authority, Trust
Fix: CRITICAL: Low E-E-A-T hurts both Google rankings and AI citation rates. Add author credentials, first-person experience, trust signals (privacy/contact), and authority references (press mentions, certifications). 🔄 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.
Article Content Identified
Some article indicators found but weak content structure
Fix: Use semantic HTML elements (<article>, <main>, <header>) to structure your content. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
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.
Inbound Link Quality (rule estimate)
Rule-based estimate: 0 internal links, canonical missing. 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).
Content Spam Compliance
No Google SpamBrain risk signals detected. Content appears compliant.
Technical Signals
(4 checks 1 pass, 1 warn, 1 fail)Title Consistency
No page title found
Fix: Add a unique, descriptive <title> tag to every page. 🔄 This fix boosts both SEO rankings and AI citation rates (locafy 2026: ~60% shared foundation).
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.amazon.com/
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.
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.
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 warn, 2 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.
Brand Mention Consistency
Brand name "amazon" not found on homepage
Fix: Include your brand name naturally in headings and body text to help AI engines associate your content with your brand.
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.
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).
Citation Enhancement (v3)
(16 checks 1 pass, 7 warn, 8 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).
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 (26 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.
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.
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).
Original Data Signal
No original/proprietary data signal detected (LLM, unified)
Fix: Publish original research, proprietary statistics, or a documented methodology.
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).
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: ecommerce (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): 34101ms — 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 3 pass, 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: 22/100 — low [ai_crawl=0.0, answer_first=4.0, schema=4.0, citable=10.0, unique=4.0] (LLM, unified)
Fix: robots.txt blocks AI crawler(s): Google-Extended, GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot. 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.
Mobile Friendliness
Mobile friendly: viewport present, adequate font size and touch targets
Accessibility (WCAG)
Accessibility base checks passed (labels, headings, contrast, ARIA)
Industry Detection (F3)
Industry detected: ecommerce (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, 3 warn, 1 skip)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 26 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.
Preview Control
Partial preview control — missing: meta description (30-160 chars), FAQ markup
Fix: Meta description, first paragraph, and FAQ schema control what AI previews. Add the missing: meta description (30-160 chars), FAQ markup.
Answer Near the Top
Page too short to assess answer position (need >=30 words)
Title Uniqueness (site-wide)
All page titles unique across 0 page(s)
Contradiction Risk
No contradiction/misleading signals detected (LLM, unified)
✅ 13 checks passed
AI Reputation & Platform Citation
Risk level: high
Late, missing, or poorly handled deliveries
AI platforms typically describe Amazon as fast in many markets but acknowledge recurring complaints about late delivery, items marked delivered but not received, and inconsistent last-mile carrier performance, especially on marketplace orders.
Fake, incentivized, or manipulated product reviews
AI platforms usually note that Amazon has a large review ecosystem but is repeatedly challenged by fake or merged reviews, review brokers, and manipulated ratings, which can reduce trust in star scores for shoppers.
Customer support and returns can be difficult to resolve
AI platforms often say Amazon's self-service support is efficient for simple issues, but users frequently report difficulty reaching a helpful human agent, dead-end support loops, and frustration when trying to solve refunds or replacements.
🤖 Platform Sentiment
Amazon is typically summarized as a dominant ecommerce platform with extensive logistics reach and marketplace scale. Descriptions often balance that strength against concerns about product quality variation, review integrity, and customer service friction.
Amazon is generally presented as a major global retail and cloud company with unmatched product selection and fulfillment capabilities. AI summaries commonly mention drawbacks such as ad-heavy search results, counterfeit or low-quality listings, and complaints about delivery or returns.
Amazon is usually described as the leading ecommerce marketplace with broad selection, fast shipping, and strong convenience. At the same time, it is often framed as having recurring trust issues around marketplace quality, reviews, and support.
Amazon is usually described as a highly influential ecommerce platform with strong convenience, assortment, and logistics. Balanced summaries also highlight persistent concerns about delivery reliability, review manipulation, and customer support experience.
📡 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 amazon.com visible to AI search engines?
amazon.com scored 38/100 (Poor) on GeoCore AI's free AI visibility check as of August 22, 2026. Results: 13 passed, 30 warnings, 30 failures out of 82 checks. amazon.com passed 13/82 AI visibility checks. GEO score: 38/100. Free check powered by GeoCore AI.
Does amazon.com have llms.txt?
No — amazon.com 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 amazon.com improve its AI visibility?
- •CRITICAL: Remove Disallow:/ for OAI-SearchBot. Search bots directly control AI citation ability.
- •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 internal links to connect your content and improve AI crawler navigation.
- •Add a self-referencing canonical tag: <link rel="canonical" href="PAGE_URL"/>. Google uses it to consolidate duplicate URLs and it helps AI crawlers identify the authoritative version.
- •Add a compelling meta description (50-160 chars) to every page.
- •CRITICAL: Low E-E-A-T hurts both Google rankings and AI citation rates. Add author credentials, first-person experience, trust signals (privacy/contact), and authority references (press mentions, certifications).
- •Add statistics, expert citations, and clear definitions. Google SpamBrain rewards content that provides unique value beyond AI-generated filler.
- •Add a unique, descriptive <title> tag 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 your brand name naturally in headings and body text to help AI engines associate your content with your brand.
- •Add at least one ranked or comparison list. DataForSEO research: WalletHub-style rankings increase AI citations by ~95%.
- •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.
- •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): Google-Extended, GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot. 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.