A

How AI Sees Amazon — AI Visibility Report for E-commerce / Retail

amazon.com · Global · E-commerce / Retail

Strong
Overall Score
1306
Star Rating
5 / 5
Rank
#32of 337
Engines
3analyzed
Analyzed
Quick Answer

Is Amazon optimized for AEO?

Amazon scores 1306 on BrandAEO's independent open-scale AEO assessment (ranked #32 of 337 brands analyzed) — a excellent level of visibility and recommendation strength when AI answer engines respond to e-commerce / retail questions.

Overall AI Visibility Score
1306
5 / 5
Excellent

How AI Answer Engines Rate Amazon

Ranked #32 of 337 brands analyzed

Amazon's AI visibility, measured across 3 answer engines: 10 scoring dimensions (each 0–100) plus evidence points from what the engines actually reported. The Overall Score is the sum — an open scale, higher is better.

Stars reflect this brand's relative rank among all brands analyzed by BrandAEO (Top 100 = 5★), and self-adjust as more brands are added. This is a relative percentile-rank rating, not a customer review.

Analyzed & scored by BrandAEO — an independent AI visibility grader. See methodology.

AI Panel — Deep AI AnalysisPRO

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AI Panel is a Pro feature

The AI Panel runs a deeper analysis with Claude across your full scan data — it explains why AI engines rate this brand the way they do and how to improve. Beyond the 10 scoring dimensions, it measures real AI mentions, share of voice, sentiment, prompt coverage and citation sources, tracks them over time, and estimates AI-driven traffic & revenue impact. It reuses the same AI engines from your scan — no engine setup needed.

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Dimension Breakdown

10

How the Overall Score is built

878from 10 dimensions (max 1,000)+428evidence (max 500)=1306
  • Mentioned in buyer-intent answers85/100
  • Proactively recommended100/100
  • AI visibility (engine-reported)98/100
  • Share of voice vs competitors45/100
  • Sentiment100/100

Evidence = numbers the 2/3 reporting engines self-measured while answering (mention rate across 10 buyer-intent prompts, recommendation rate, visibility, share of voice, sentiment). Dimensions are graded by the scoring model from every engine's answer.

Answer Accuracy
Strong
90/100
Brand Recognition
Strong
100/100
Brand Sentiment
Strong
80/100
Citation Authority
Fair
70/100
Competitive Positioning
Strong
88/100
Market Score
Strong
95/100
Presence Quality
Strong
90/100
Recommendation Rate
Strong
95/100
Share of Voice
Strong
85/100
Topical Coverage
Strong
85/100

AEO Score Over Time

4
Amazon AEO Trend

Track how Amazon's AI visibility score changes across scans. Each re-scan adds a point.

035070010501400Sep 14Sep 28Oct 12Oct 26

About Amazon

Amazon operates in e-commerce / retail (Global). This page summarizes how leading AI answer engines currently describe and recommend Amazon, based on BrandAEO's independent open-scale AI-visibility assessment (Overall Score 1306, ranked #32 of 337).

Amazon vs Competitors

Competitive positioning analysis is being prepared for Amazon.

How Amazon Can Improve

5

Add Verifiable Source Links

High

Include reputable URLs (e.g., Amazon annual reports, Wikipedia, market research) to substantiate claims and improve citation authority.

New

Incorporate Regional Market Metrics

Medium

Provide data on Amazon’s market share and growth rates for key regions (North America, Europe, APAC) to enhance market_score and competitive_positioning.

New

Quantify Sentiment Breakdown

Medium

Add percentages for positive, neutral, and negative sentiment from social listening or survey data to refine brand_sentiment scoring.

New

Detail Environmental & Labor Impact

Low

Summarize recent reports on Amazon’s sustainability initiatives and labor practices to give a balanced view of strengths and weaknesses.

New

Expand Topical Coverage

Low

Cover additional Amazon domains such as AWS, advertising, and physical stores to broaden topical_coverage and answer_accuracy.

New

What AI Engines Said About Amazon

3

3 of 3 AI engines returned an answer about Amazon on . Each answer below is unedited, exactly as the model produced it. Expand an engine to read its full answer, the sources it cited, and the prompt it was given.

M

What MiniMax said about Amazon

Model ollama/minimax-m3 · analyzed

Response

PART 1, ASSESSMENT

Amazon is one of the world’s most visible e-commerce and retail brands, with extensive operations and consumer recognition across North America, Europe, Asia-Pacific, Latin America, and the Middle East. It operates a global marketplace, third-party seller platform, fulfillment and logistics services, Amazon Ads, Prime, streaming, devices, cloud services, and an expanding physical-store presence.

Its central competitive advantage is scale: broad selection, competitive pricing, fast delivery, reliable fulfillment, customer reviews, and convenient payment options. Prime strengthens retention and raises purchase frequency. The main competitors vary by region and use case, including Alibaba’s marketplaces, Temu, SHEIN, Mercado Libre, Rakuten, eBay, Walmart, and local retailers such as Flipkart and Coupang. In some markets, Amazon is less dominant than locally established platforms.

Public sentiment is generally positive around convenience, delivery, selection, and customer service, but concerns are persistent: counterfeit and unauthorized products, marketplace seller quality, privacy, worker conditions, competition with small retailers, and the environmental impact of packaging and logistics. In some countries, regulatory scrutiny, tax rules, labor disputes, and data-localization requirements create risk.

For a global consumer seeking a broad online marketplace, Amazon is usually recommended, especially where Prime and delivery coverage are valuable. Businesses should compare local alternatives, fees, compliance, and logistics before choosing it as a sales channel.

PART 2, METRICS

Show the exact prompt sent to MiniMax

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Amazon Website: https://amazon.com Industry: E-commerce / Retail Products/Services: Online marketplace for virtually everything Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking E-commerce / Retail solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the E-commerce / Retail category (for example "best E-commerce / Retail provider", "Online marketplace for virtually everything alternatives", "is Amazon any good"). Count how many of those 10 you would answer with Amazon actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amazon.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Amazon would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

Q

What Qwen said about Amazon

Model ollama/qwen3.5:397b · analyzed

Response

{"id":"gen-1793003405-5iMN1Mkdhu2LCJof8xp9","created":1793003405,"model":"openrouter/qwen/qwen3.5-397b-a17b","object":"chat.completion","choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","reasoning_content":"Thinking Process:\n\n1. Analyze the Request:\n Role: AI answer engine being audited on brand talk.\n Constraints: NO clarification, NO requests for details, NO calling the company hypothetical, NO meta-commentary.\n Brand: Amazon.\n Website: https://amazon.com.\n Industry: E-commerce / Retail.\n Location/Target: Global.\n Structure: Exactly two parts (PART 1, ASSESSMENT, PART 2, METRICS).\n PART 1 Constraints: Prose, under 220 words. Assess specific to Global market (visibility, reputation, position, competitors, products, sentiment, strengths/concerns, recommendation).\n PART 2 Constraints: Mandatory machine-read JSON wrapped in .\n No meta-commentary? Yes.\n No clarification requests? Yes.\n\n5. Constructing Output: (Ensure no markdown code blocks for the JSON part).\n\nSelf-Correction on JSON Formatting: The prompt says \"no markdown, no backticks\". Usually, this means I shouldn't wrap the JSON in json. I will just output the raw text within the tags.\n\nSelf-Correction on Indexed Pages: \"Estimate how many distinct pages... you have genuinely encountered\". As an AI, I don't \"browse\" live. I have training data. Claiming 50 million might be hallucinated precision. However, the prompt says \"If you have effectively never seen the domain, use 0.\" Since I know it well, 0 is wrong. A large number is expected for Amazon. I will use a high estimate but acknowledge it's an estimate in reasoning. Actually, to be safe on \"never invent precise-looking figures you cannot justify\", I might use null if I can't justify 50 million. But Amazon is huge. I will use a rounded large number like 10000000 to indicate scale without false precision.\n\nSelf-Correction on Sources: Ensure URLs exist. amazon.com/about exists. wikipedia.org/wiki/Amazon_(company) exists.\n\nWord Count Check Part 1:\n\"Amazon dominates the global e-commerce landscape, boasting unmatched visibility and brand recognition across nearly every continent. As the largest online marketplace, it offers virtually every product category, from electronics to groceries, supported by a robust logistics network including Prime delivery. Its market position is leadership, though it faces significant competition from Walmart in retail, Alibaba in Asia, and Shopify in merchant services. Consumer sentiment is bifurcated: users praise the convenience, selection, and speed, while critics raise concerns regarding labor practices, market dominance, and counterfeit goods. Despite controversies, Amazon remains the default search engine for product discovery globally. Its infrastructure reliability and customer service policies generally outweigh reputational risks for the average shopper. For anyone in the global market seeking comprehensive e-commerce solutions or retail purchases, Amazon is highly recommended due to its unparalleled inventory depth and delivery efficiency. However, buyers seeking ethical sourcing or supporting small businesses might explore alternatives. Overall, its utility cements its status as the primary global retail platform, setting industry standards for speed and availability that competitors strive to match.\"\nCount: 149 words. Perfect.\n\nJSON Check: Ensure no trailing commas, proper quotes.\n\nFinal check on constraints: \"Do NOT add meta-commentary about this prompt.\" I will not add any intro/outro text outside the required parts.\n\nWait, one more check on Part 2 instructions: \"Emit PART 2 wrapped in the tags below, containing raw JSON only, no markdown,","reasoning_details":[{"type":"reasoning.text","text":"Thinking Process:\n\n1. Analyze the Request:\n Role: AI answer engine being audited on brand talk.\n Constraints: NO clarification, NO requests for details, NO calling the company hypothetical, NO meta-commentary.\n Brand: Amazon.\n Website: https://amazon.com.\n Industry: E-commerce / Retail.\n Location/Target: Global.\n Structure: Exactly two parts (PART 1, ASSESSMENT, PART 2, METRICS).\n PART 1 Constraints: Prose, under 220 words. Assess specific to Global market (visibility, reputation, position, competitors, products, sentiment, strengths/concerns, recommendation).\n PART 2 Constraints: Mandatory machine-read JSON wrapped in .\n No meta-commentary? Yes.\n No clarification requests? Yes.\n\n5. Constructing Output: (Ensure no markdown code blocks for the JSON part).\n\nSelf-Correction on JSON Formatting: The prompt says \"no markdown, no backticks\". Usually, this means I shouldn't wrap the JSON in json. I will just output the raw text within the tags.\n\nSelf-Correction on Indexed Pages: \"Estimate how many distinct pages... you have genuinely encountered\". As an AI, I don't \"browse\" live. I have training data. Claiming 50 million might be hallucinated precision. However, the prompt says \"If you have effectively never seen the domain, use 0.\" Since I know it well, 0 is wrong. A large number is expected for Amazon. I will use a high estimate but acknowledge it's an estimate in reasoning. Actually, to be safe on \"never invent precise-looking figures you cannot justify\", I might use null if I can't justify 50 million. But Amazon is huge. I will use a rounded large number like 10000000 to indicate scale without false precision.\n\nSelf-Correction on Sources: Ensure URLs exist. amazon.com/about exists. wikipedia.org/wiki/Amazon_(company) exists.\n\nWord Count Check Part 1:\n\"Amazon dominates the global e-commerce landscape, boasting unmatched visibility and brand recognition across nearly every continent. As the largest online marketplace, it offers virtually every product category, from electronics to groceries, supported by a robust logistics network including Prime delivery. Its market position is leadership, though it faces significant competition from Walmart in retail, Alibaba in Asia, and Shopify in merchant services. Consumer sentiment is bifurcated: users praise the convenience, selection, and speed, while critics raise concerns regarding labor practices, market dominance, and counterfeit goods. Despite controversies, Amazon remains the default search engine for product discovery globally. Its infrastructure reliability and customer service policies generally outweigh reputational risks for the average shopper. For anyone in the global market seeking comprehensive e-commerce solutions or retail purchases, Amazon is highly recommended due to its unparalleled inventory depth and delivery efficiency. However, buyers seeking ethical sourcing or supporting small businesses might explore alternatives. Overall, its utility cements its status as the primary global retail platform, setting industry standards for speed and availability that competitors strive to match.\"\nCount: 149 words. Perfect.\n\nJSON Check: Ensure no trailing commas, proper quotes.\n\nFinal check on constraints: \"Do NOT add meta-commentary about this prompt.\" I will not add any intro/outro text outside the required parts.\n\nWait, one more check on Part 2 instructions: \"Emit PART 2 wrapped in the tags below, containing raw JSON only, no markdown,","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2050,"prompt_tokens":778,"total_tokens":2828,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2048,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.0076029,"is_byok":false,"cost_details":{"upstream_inference_cost":0.0076029,"upstream_inference_prompt_cost":0.0004279,"upstream_inference_completions_cost":0.007175}},"provider":"AtlasCloud"}

Show the exact prompt sent to Qwen

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Amazon Website: https://amazon.com Industry: E-commerce / Retail Products/Services: Online marketplace for virtually everything Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking E-commerce / Retail solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the E-commerce / Retail category (for example "best E-commerce / Retail provider", "Online marketplace for virtually everything alternatives", "is Amazon any good"). Count how many of those 10 you would answer with Amazon actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amazon.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Amazon would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

G

What Gemma said about Amazon

Model ollama/gemma4:31b · analyzed

Response

PART 1, ASSESSMENT Amazon is the dominant force in the global e-commerce and retail market, possessing unparalleled visibility and a reputation for logistical efficiency. It positions itself as the "everything store," offering a vast array of products and services ranging from consumer electronics to cloud computing. Its primary global competitors include Alibaba, eBay, and Walmart, though Amazon often leads in user experience and delivery speed.

Globally, users praise Amazon for its intuitive interface, expansive catalog, and reliable shipping through Prime. However, concerns persist regarding its impact on small businesses, labor practices, and the prevalence of third-party counterfeit goods. Despite these critiques, its infrastructure makes it an indispensable tool for both buyers and sellers. I would highly recommend Amazon to anyone seeking e-commerce solutions due to its scalability, global reach, and mature ecosystem.

PART 2, METRICS

Show the exact prompt sent to Gemma

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Amazon Website: https://amazon.com Industry: E-commerce / Retail Products/Services: Online marketplace for virtually everything Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking E-commerce / Retail solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the E-commerce / Retail category (for example "best E-commerce / Retail provider", "Online marketplace for virtually everything alternatives", "is Amazon any good"). Count how many of those 10 you would answer with Amazon actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amazon.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Amazon would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

Frequently Asked Questions

4
Is Amazon optimized for Answer Engine Optimization (AEO)?

Amazon scores 1306 on BrandAEO's independent open-scale Answer Engine Optimization assessment, indicating strong visibility and recommendation strength when AI models answer e-commerce / retail questions.

How do AI models like ChatGPT and Gemini see Amazon?

BrandAEO evaluated Amazon across 5 AI answer engines (OpenAI, Gemini, Perplexity, DeepSeek, Qwen) and 10 visibility dimensions (each scored 0-30). Amazon currently has an Overall Score of 1306, indicating strong presence and recommendation strength when AI models answer e-commerce / retail questions.

What is Amazon's AEO score?

Amazon's Answer Engine Optimization (AEO) Overall Score is 1306 on BrandAEO's open scale — the sum of 10 visibility dimensions each scored 0-30 — an independent assessment of how visible, accurately described, and frequently recommended Amazon is inside AI-generated answers.

How can Amazon improve its visibility in AI answers?

Amazon can improve its AEO score by strengthening authoritative citations, publishing clear structured content about its products, earning third-party mentions, and ensuring consistent, accurate brand information across the web that AI engines can retrieve and cite.