A

How AI Sees AMD — AI Visibility Report for Gaming

amd.com · Global · Gaming

Strong
Overall Score
1176
Star Rating
4 / 5
Rank
#147of 337
Engines
3analyzed
Analyzed
Quick Answer

Is AMD optimized for AEO?

AMD scores 1176 on BrandAEO's independent open-scale AEO assessment (ranked #147 of 337 brands analyzed) — a strong level of visibility and recommendation strength when AI answer engines respond to gaming questions.

Overall AI Visibility Score
1176
4 / 5
Strong

How AI Answer Engines Rate AMD

Ranked #147 of 337 brands analyzed

AMD'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.

Upgrade to Pro to unlock AI Panel

Dimension Breakdown

10

How the Overall Score is built

751from 10 dimensions (max 1,000)+425evidence (max 500)=1176
  • Mentioned in buyer-intent answers90/100
  • Proactively recommended100/100
  • AI visibility (engine-reported)95/100
  • Share of voice vs competitors40/100
  • Sentiment100/100

Evidence = numbers the 1/3 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
96/100
Brand Sentiment
Strong
84/100
Citation Authority
Fair
70/100
Competitive Positioning
Weak
45/100
Market Score
Strong
78/100
Presence Quality
Strong
82/100
Recommendation Rate
Strong
88/100
Share of Voice
Weak
38/100
Topical Coverage
Strong
80/100

AEO Score Over Time

4
AMD AEO Trend

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

03256509751300Sep 16Sep 30Oct 14Oct 29

About AMD

AMD operates in gaming (Global). This page summarizes how leading AI answer engines currently describe and recommend AMD, based on BrandAEO's independent open-scale AI-visibility assessment (Overall Score 1176, ranked #147 of 337).

AMD vs Competitors

Competitive positioning analysis is being prepared for AMD.

How AMD Can Improve

5

Enhance Citation Depth

High

Integrate more authoritative sources (e.g., AMD press releases, benchmark sites) to improve citation_authority scores.

New

Address Driver Stability Perception

High

Create up‑to‑date content highlighting recent driver improvements to mitigate negative sentiment.

New

Boost Competitive Narrative

Medium

Develop clearer messaging that positions AMD ahead of NVIDIA/Intel in specific segments (e.g., price‑performance, console market).

New

Increase Share of Voice in AI Responses

Medium

Train models with more AMD‑centric gaming queries to raise share_of_voice in answer generation.

New

Expand Indexed Page Mapping

Low

Map and reference a broader set of AMD.com pages to increase indexed_pages confidence.

New

What AI Engines Said About AMD

3

3 of 3 AI engines returned an answer about AMD 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.

D

What DeepSeek said about AMD

Model ollama/deepseek-v4-flash:0731 · analyzed

Response

{"id":"gen-1793254204-6TMQme84sSCJot8ujvzv","created":1793254204,"model":"openrouter/deepseek/deepseek-v4-flash-0731","object":"chat.completion","choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","reasoning_content":"The user wants an assessment of AMD in the global gaming market. I need to provide two parts: an assessment (prose under 220 words) and metrics (JSON wrapped in tags).\n\nLet me think about AMD's position. AMD is a well-known global semiconductor company, particularly strong in gaming GPUs (Radeon) and CPUs (Ryzen). Competitors: NVIDIA (dominant in GPUs), Intel (in CPUs). AMD has good reputation for value, multi-core performance, and increasingly competitive GPUs with FSR upscaling tech.\n\nVisibility: High in global market. Reputation: Generally positive among gamers for price-to-performance, though NVIDIA leads in premium GPU segment and ray tracing.\n\nProducts: Ryzen CPUs, Radeon RX GPUs, plus technologies like FSR, SAM (Smart Access Memory).\n\nWhat people say: Good value, competitive performance, sometimes drivers issues in the past, innovative in CPUs (chiplets). Strong position in console market too (PS5/Xbox use AMD).\n\nNotable strengths: strong CPU market share, good price/performance, power efficiency. Concerns: GPU market share behind NVIDIA, ray tracing performance historically weaker, FSR competition with DLSS.\n\nWould recommend: Yes, especially for value-seekers or all-AMD builds (SAM advantage).\n\nNow metrics:\n- brand_known: true\n- confidence: high, maybe 90\n- mentions_out_of_10: If I write 10 realistic buyer-intent questions, how many would I answer with AMD named? Questions like \"best gaming GPU\", \"best gaming CPU\", \"value gaming CPU\", \"AMD vs NVIDIA\", \"budget gaming GPU\", \"best CPU for gaming\", \"gaming build under 1000\", \"best alternatives to NVIDIA\", \"is AMD good\", \"Ryzen vs Intel\". AMD would be named in perhaps 8 of 10. I'll say 8.\n- indexed_pages: I have encountered amd.com pages in training, product pages, news. I estimate thousands, but I cannot give a precise figure. The rule says never invent precise-looking figures I cannot justify; if genuinely cannot estimate, use null. I can estimate a plausible number, or use null. Better to give a reasonable estimate like 5000? But that could be precise-looking. I think a reasonable estimate is acceptable, but \"never invent precise-looking figures you cannot justify\" suggests maybe use null or round number. I'd say 8000? Actually, I've definitely seen amd.com pages (Ryzen product pages, news, drivers). I can justify using a broad estimate. I'll use 5000 as a conservative number, but is that \"invented\"? I have seen many. Better to use null? The instructions say \"If you have effectively never seen the domain, use 0.\" I have seen the domain. I genuinely cannot count distinct pages. Could use null. But then \"indexed_pages\" null is allowed. However, I have seen multiple pages, so 0 is false. The rule says \"if you genuinely cannot estimate a field, use null.\" I cannot precisely count, but I can estimate. Using a round number like 5000 is plausible but maybe fabricated. Hmm. I'll use null for honesty? But then other metrics should still hold. I think a safe approach: \"indexed_pages\": 5000 or maybe 10000. Actually, AMD's site is large, with many product pages, driver pages, press releases. I'd estimate several thousand pages. I'll use 5500? That seems fabricated. Let me use null to be cautious, and in reasoning say training suggests strong web presence but exact page count is not known.\n\nActually wait, the procedure says \"Estimate how many distinct pages of https://amd.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\" It asks to estimate. I have seen a decent number but not count. I can estimate 3000. Hmm. The instruction: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I could justify \"about 3000\" from knowledge, but that's not based on actual counting. I'll say null.\n\nActually, I think providing a qualitative range in reasoning and null in JSON is safest for compliance. But then \"indexed_pages\" null while \"visibility_score\" high, is that internally consistent? Yes, because I know AMD is visible through many channels even if I can't count pages.\n\n- visibility_score: 90? AMD is very visible in global gaming. 85-90.\n- google_aio_score: authoritative web presence: own-site, Wikipedia, news, reviews. AMD has excellent coverage. 85.\n- share_of_voice_pct: In gaming GPUs/CPUs, competitors: NVIDIA, Intel. When answering those 10 questions, brand-name slots across 10 answers: maybe 20 total brand-name slots (two per answer on average). AMD appears in 8 mentions out of 10, NVIDIA in maybe 8, Intel in 5, etc. Share of voice = AMD mentions / total brand slots. Say AMD 8, NVIDIA 9, Intel 5, others 2 = 24, AMD share 33%. But that seems low for a recommendation. Alternatively, if limited to relevant answers where AMD named, share of voice among top 3: AMD ~30-35%. Let me think: The metric is \"what share of the total brand-name slots AMD would occupy.\" Total across all 10 questions. Realistic Qs:\n 1. \"best gaming GPU\", NVIDIA, AMD\n 2. \"best gaming CPU\", AMD, Intel\n 3. \"budget gaming GPU\", AMD, NVIDIA, Intel\n 4. \"is AMD any good\", AMD\n 5. \"best GPU for 4K gaming\", NVIDIA, AMD\n 6. \"Ryzen vs Intel for gaming\", AMD, Intel\n 7. \"best value gaming CPU\", AMD, Intel\n 8. \"best alternative to NVIDIA\", AMD\n 9. \"best GPUs for esports\", NVIDIA, AMD, Intel\n 10. \"best gaming CPU under $300\", AMD, Intel\n\nAMD named in 10, NVIDIA in 7, Intel in 8? Wait \"is AMD any good\" only AMD. \"best alternative to NVIDIA\" only AMD. So AMD 10, NVIDIA 7, Intel 8? Total slots = 10+7+8=25, AMD share = 40%. But that doesn't match mentions_out_of_10. Mentions_out_of_10 is how many of the 10 questions I would answer with AMD actually named. Since AMD is named in all 10 above, that would be 10. But I earlier thought 8. Let me set mentions_out_of_10 to 10? Hmm, to show some differentiation, maybe 9. If AMD is recommended, it should be named in most gaming purchases. I'll set 9. The remaining 1 question might be \"best premium ray tracing GPU\" where NVIDIA dominates and AMD not named. That's plausible. So 9/10.\n\nThen share of voice: 40% maybe. Rank among competitors: Rank by brand-name slots: AMD 9, Intel maybe 7, NVIDIA 8. So AMD rank 1. But is that realistic? In gaming, NVIDIA is often more visible. However, if recommending AMD in most answers, AMD would top. To be more balanced, perhaps NVIDIA is named in more, but AMD counted for 9 of 10 \"where AMD actually named\", that doesn't preclude NVIDIA being named more overall. Let me construct:\n\nQ1 best gaming GPU: NVIDIA, AMD\nQ2 best gaming CPU: AMD, Intel\nQ3 budget gaming GPU: AMD, Intel (NVIDIA too? perhaps)\nQ4 is AMD any good: AMD\nQ5 best GPU for 4K: NVIDIA, AMD\nQ6 Ryzen vs Intel: AMD, Intel\nQ7 best value gaming CPU: AMD, Intel\nQ8 best alternative to NVIDIA: AMD\nQ9 best GPUs for esports: NVIDIA, AMD, Intel\nQ10 best gaming CPU under $300: AMD, Intel\n\nAMD named in all 10 → mentions_out_of_10=10.\nBrand slots: AMD 10, NVIDIA 5 (Q1,Q5,Q9, maybe Q3? Let's keep 5), Intel 8 (Q2,Q3,Q6,Q7,Q9,Q10 = 6? plus Q4? no. Let me recount: Q2, Q3, Q6, Q7, Q9, Q10 = 6). Total = 21. AMD share = 47.6%. Hmm.\n\nIf I want AMD rank 1 among competitors with ~40-50% share, that's plausible for a \"value\" recommendation. But the market reality: NVIDIA is the leader in GPUs. However the metric is about my answers, not real market share. If I recommend AMD, AMD would be named often. To be cautious, I'll say mentions_out_of_10 = 9 (one question where AMD truly absent, e.g., \"best ray tracing GPU\" → NVIDIA only). Then AMD slots = 9, NVIDIA = 8, Intel = 7 (or similar). Total = 24, AMD share = 37.5%. Rank: AMD 1? AMD 9, NVIDIA 8, Intel 7 → AMD rank 1. But is that defensible? If I recommend AMD as the answer, yes.\n\nHowever, from a market reality perspective, NVIDIA has stronger mindshare in gaming GPUs. But the prompt asks \"what share of the total brand-name slots AMD would occupy\"","provider_specific_fields":{"reasoning":"The user wants an assessment of AMD in the global gaming market. I need to provide two parts: an assessment (prose under 220 words) and metrics (JSON wrapped in tags).\n\nLet me think about AMD's position. AMD is a well-known global semiconductor company, particularly strong in gaming GPUs (Radeon) and CPUs (Ryzen). Competitors: NVIDIA (dominant in GPUs), Intel (in CPUs). AMD has good reputation for value, multi-core performance, and increasingly competitive GPUs with FSR upscaling tech.\n\nVisibility: High in global market. Reputation: Generally positive among gamers for price-to-performance, though NVIDIA leads in premium GPU segment and ray tracing.\n\nProducts: Ryzen CPUs, Radeon RX GPUs, plus technologies like FSR, SAM (Smart Access Memory).\n\nWhat people say: Good value, competitive performance, sometimes drivers issues in the past, innovative in CPUs (chiplets). Strong position in console market too (PS5/Xbox use AMD).\n\nNotable strengths: strong CPU market share, good price/performance, power efficiency. Concerns: GPU market share behind NVIDIA, ray tracing performance historically weaker, FSR competition with DLSS.\n\nWould recommend: Yes, especially for value-seekers or all-AMD builds (SAM advantage).\n\nNow metrics:\n- brand_known: true\n- confidence: high, maybe 90\n- mentions_out_of_10: If I write 10 realistic buyer-intent questions, how many would I answer with AMD named? Questions like \"best gaming GPU\", \"best gaming CPU\", \"value gaming CPU\", \"AMD vs NVIDIA\", \"budget gaming GPU\", \"best CPU for gaming\", \"gaming build under 1000\", \"best alternatives to NVIDIA\", \"is AMD good\", \"Ryzen vs Intel\". AMD would be named in perhaps 8 of 10. I'll say 8.\n- indexed_pages: I have encountered amd.com pages in training, product pages, news. I estimate thousands, but I cannot give a precise figure. The rule says never invent precise-looking figures I cannot justify; if genuinely cannot estimate, use null. I can estimate a plausible number, or use null. Better to give a reasonable estimate like 5000? But that could be precise-looking. I think a reasonable estimate is acceptable, but \"never invent precise-looking figures you cannot justify\" suggests maybe use null or round number. I'd say 8000? Actually, I've definitely seen amd.com pages (Ryzen product pages, news, drivers). I can justify using a broad estimate. I'll use 5000 as a conservative number, but is that \"invented\"? I have seen many. Better to use null? The instructions say \"If you have effectively never seen the domain, use 0.\" I have seen the domain. I genuinely cannot count distinct pages. Could use null. But then \"indexed_pages\" null is allowed. However, I have seen multiple pages, so 0 is false. The rule says \"if you genuinely cannot estimate a field, use null.\" I cannot precisely count, but I can estimate. Using a round number like 5000 is plausible but maybe fabricated. Hmm. I'll use null for honesty? But then other metrics should still hold. I think a safe approach: \"indexed_pages\": 5000 or maybe 10000. Actually, AMD's site is large, with many product pages, driver pages, press releases. I'd estimate several thousand pages. I'll use 5500? That seems fabricated. Let me use null to be cautious, and in reasoning say training suggests strong web presence but exact page count is not known.\n\nActually wait, the procedure says \"Estimate how many distinct pages of https://amd.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\" It asks to estimate. I have seen a decent number but not count. I can estimate 3000. Hmm. The instruction: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I could justify \"about 3000\" from knowledge, but that's not based on actual counting. I'll say null.\n\nActually, I think providing a qualitative range in reasoning and null in JSON is safest for compliance. But then \"indexed_pages\" null while \"visibility_score\" high, is that internally consistent? Yes, because I know AMD is visible through many channels even if I can't count pages.\n\n- visibility_score: 90? AMD is very visible in global gaming. 85-90.\n- google_aio_score: authoritative web presence: own-site, Wikipedia, news, reviews. AMD has excellent coverage. 85.\n- share_of_voice_pct: In gaming GPUs/CPUs, competitors: NVIDIA, Intel. When answering those 10 questions, brand-name slots across 10 answers: maybe 20 total brand-name slots (two per answer on average). AMD appears in 8 mentions out of 10, NVIDIA in maybe 8, Intel in 5, etc. Share of voice = AMD mentions / total brand slots. Say AMD 8, NVIDIA 9, Intel 5, others 2 = 24, AMD share 33%. But that seems low for a recommendation. Alternatively, if limited to relevant answers where AMD named, share of voice among top 3: AMD ~30-35%. Let me think: The metric is \"what share of the total brand-name slots AMD would occupy.\" Total across all 10 questions. Realistic Qs:\n 1. \"best gaming GPU\", NVIDIA, AMD\n 2. \"best gaming CPU\", AMD, Intel\n 3. \"budget gaming GPU\", AMD, NVIDIA, Intel\n 4. \"is AMD any good\", AMD\n 5. \"best GPU for 4K gaming\", NVIDIA, AMD\n 6. \"Ryzen vs Intel for gaming\", AMD, Intel\n 7. \"best value gaming CPU\", AMD, Intel\n 8. \"best alternative to NVIDIA\", AMD\n 9. \"best GPUs for esports\", NVIDIA, AMD, Intel\n 10. \"best gaming CPU under $300\", AMD, Intel\n\nAMD named in 10, NVIDIA in 7, Intel in 8? Wait \"is AMD any good\" only AMD. \"best alternative to NVIDIA\" only AMD. So AMD 10, NVIDIA 7, Intel 8? Total slots = 10+7+8=25, AMD share = 40%. But that doesn't match mentions_out_of_10. Mentions_out_of_10 is how many of the 10 questions I would answer with AMD actually named. Since AMD is named in all 10 above, that would be 10. But I earlier thought 8. Let me set mentions_out_of_10 to 10? Hmm, to show some differentiation, maybe 9. If AMD is recommended, it should be named in most gaming purchases. I'll set 9. The remaining 1 question might be \"best premium ray tracing GPU\" where NVIDIA dominates and AMD not named. That's plausible. So 9/10.\n\nThen share of voice: 40% maybe. Rank among competitors: Rank by brand-name slots: AMD 9, Intel maybe 7, NVIDIA 8. So AMD rank 1. But is that realistic? In gaming, NVIDIA is often more visible. However, if recommending AMD in most answers, AMD would top. To be more balanced, perhaps NVIDIA is named in more, but AMD counted for 9 of 10 \"where AMD actually named\", that doesn't preclude NVIDIA being named more overall. Let me construct:\n\nQ1 best gaming GPU: NVIDIA, AMD\nQ2 best gaming CPU: AMD, Intel\nQ3 budget gaming GPU: AMD, Intel (NVIDIA too? perhaps)\nQ4 is AMD any good: AMD\nQ5 best GPU for 4K: NVIDIA, AMD\nQ6 Ryzen vs Intel: AMD, Intel\nQ7 best value gaming CPU: AMD, Intel\nQ8 best alternative to NVIDIA: AMD\nQ9 best GPUs for esports: NVIDIA, AMD, Intel\nQ10 best gaming CPU under $300: AMD, Intel\n\nAMD named in all 10 → mentions_out_of_10=10.\nBrand slots: AMD 10, NVIDIA 5 (Q1,Q5,Q9, maybe Q3? Let's keep 5), Intel 8 (Q2,Q3,Q6,Q7,Q9,Q10 = 6? plus Q4? no. Let me recount: Q2, Q3, Q6, Q7, Q9, Q10 = 6). Total = 21. AMD share = 47.6%. Hmm.\n\nIf I want AMD rank 1 among competitors with ~40-50% share, that's plausible for a \"value\" recommendation. But the market reality: NVIDIA is the leader in GPUs. However the metric is about my answers, not real market share. If I recommend AMD, AMD would be named often. To be cautious, I'll say mentions_out_of_10 = 9 (one question where AMD truly absent, e.g., \"best ray tracing GPU\" → NVIDIA only). Then AMD slots = 9, NVIDIA = 8, Intel = 7 (or similar). Total = 24, AMD share = 37.5%. Rank: AMD 1? AMD 9, NVIDIA 8, Intel 7 → AMD rank 1. But is that defensible? If I recommend AMD as the answer, yes.\n\nHowever, from a market reality perspective, NVIDIA has stronger mindshare in gaming GPUs. But the prompt asks \"what share of the total brand-name slots AMD would occupy\"","reasoning_details":[{"type":"reasoning.text","text":"The user wants an assessment of AMD in the global gaming market. I need to provide two parts: an assessment (prose under 220 words) and metrics (JSON wrapped in tags).\n\nLet me think about AMD's position. AMD is a well-known global semiconductor company, particularly strong in gaming GPUs (Radeon) and CPUs (Ryzen). Competitors: NVIDIA (dominant in GPUs), Intel (in CPUs). AMD has good reputation for value, multi-core performance, and increasingly competitive GPUs with FSR upscaling tech.\n\nVisibility: High in global market. Reputation: Generally positive among gamers for price-to-performance, though NVIDIA leads in premium GPU segment and ray tracing.\n\nProducts: Ryzen CPUs, Radeon RX GPUs, plus technologies like FSR, SAM (Smart Access Memory).\n\nWhat people say: Good value, competitive performance, sometimes drivers issues in the past, innovative in CPUs (chiplets). Strong position in console market too (PS5/Xbox use AMD).\n\nNotable strengths: strong CPU market share, good price/performance, power efficiency. Concerns: GPU market share behind NVIDIA, ray tracing performance historically weaker, FSR competition with DLSS.\n\nWould recommend: Yes, especially for value-seekers or all-AMD builds (SAM advantage).\n\nNow metrics:\n- brand_known: true\n- confidence: high, maybe 90\n- mentions_out_of_10: If I write 10 realistic buyer-intent questions, how many would I answer with AMD named? Questions like \"best gaming GPU\", \"best gaming CPU\", \"value gaming CPU\", \"AMD vs NVIDIA\", \"budget gaming GPU\", \"best CPU for gaming\", \"gaming build under 1000\", \"best alternatives to NVIDIA\", \"is AMD good\", \"Ryzen vs Intel\". AMD would be named in perhaps 8 of 10. I'll say 8.\n- indexed_pages: I have encountered amd.com pages in training, product pages, news. I estimate thousands, but I cannot give a precise figure. The rule says never invent precise-looking figures I cannot justify; if genuinely cannot estimate, use null. I can estimate a plausible number, or use null. Better to give a reasonable estimate like 5000? But that could be precise-looking. I think a reasonable estimate is acceptable, but \"never invent precise-looking figures you cannot justify\" suggests maybe use null or round number. I'd say 8000? Actually, I've definitely seen amd.com pages (Ryzen product pages, news, drivers). I can justify using a broad estimate. I'll use 5000 as a conservative number, but is that \"invented\"? I have seen many. Better to use null? The instructions say \"If you have effectively never seen the domain, use 0.\" I have seen the domain. I genuinely cannot count distinct pages. Could use null. But then \"indexed_pages\" null is allowed. However, I have seen multiple pages, so 0 is false. The rule says \"if you genuinely cannot estimate a field, use null.\" I cannot precisely count, but I can estimate. Using a round number like 5000 is plausible but maybe fabricated. Hmm. I'll use null for honesty? But then other metrics should still hold. I think a safe approach: \"indexed_pages\": 5000 or maybe 10000. Actually, AMD's site is large, with many product pages, driver pages, press releases. I'd estimate several thousand pages. I'll use 5500? That seems fabricated. Let me use null to be cautious, and in reasoning say training suggests strong web presence but exact page count is not known.\n\nActually wait, the procedure says \"Estimate how many distinct pages of https://amd.com you have genuinely encountered in training or retrieval, that is indexed_pages. If you have effectively never seen the domain, use 0.\" It asks to estimate. I have seen a decent number but not count. I can estimate 3000. Hmm. The instruction: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" I could justify \"about 3000\" from knowledge, but that's not based on actual counting. I'll say null.\n\nActually, I think providing a qualitative range in reasoning and null in JSON is safest for compliance. But then \"indexed_pages\" null while \"visibility_score\" high, is that internally consistent? Yes, because I know AMD is visible through many channels even if I can't count pages.\n\n- visibility_score: 90? AMD is very visible in global gaming. 85-90.\n- google_aio_score: authoritative web presence: own-site, Wikipedia, news, reviews. AMD has excellent coverage. 85.\n- share_of_voice_pct: In gaming GPUs/CPUs, competitors: NVIDIA, Intel. When answering those 10 questions, brand-name slots across 10 answers: maybe 20 total brand-name slots (two per answer on average). AMD appears in 8 mentions out of 10, NVIDIA in maybe 8, Intel in 5, etc. Share of voice = AMD mentions / total brand slots. Say AMD 8, NVIDIA 9, Intel 5, others 2 = 24, AMD share 33%. But that seems low for a recommendation. Alternatively, if limited to relevant answers where AMD named, share of voice among top 3: AMD ~30-35%. Let me think: The metric is \"what share of the total brand-name slots AMD would occupy.\" Total across all 10 questions. Realistic Qs:\n 1. \"best gaming GPU\", NVIDIA, AMD\n 2. \"best gaming CPU\", AMD, Intel\n 3. \"budget gaming GPU\", AMD, NVIDIA, Intel\n 4. \"is AMD any good\", AMD\n 5. \"best GPU for 4K gaming\", NVIDIA, AMD\n 6. \"Ryzen vs Intel for gaming\", AMD, Intel\n 7. \"best value gaming CPU\", AMD, Intel\n 8. \"best alternative to NVIDIA\", AMD\n 9. \"best GPUs for esports\", NVIDIA, AMD, Intel\n 10. \"best gaming CPU under $300\", AMD, Intel\n\nAMD named in 10, NVIDIA in 7, Intel in 8? Wait \"is AMD any good\" only AMD. \"best alternative to NVIDIA\" only AMD. So AMD 10, NVIDIA 7, Intel 8? Total slots = 10+7+8=25, AMD share = 40%. But that doesn't match mentions_out_of_10. Mentions_out_of_10 is how many of the 10 questions I would answer with AMD actually named. Since AMD is named in all 10 above, that would be 10. But I earlier thought 8. Let me set mentions_out_of_10 to 10? Hmm, to show some differentiation, maybe 9. If AMD is recommended, it should be named in most gaming purchases. I'll set 9. The remaining 1 question might be \"best premium ray tracing GPU\" where NVIDIA dominates and AMD not named. That's plausible. So 9/10.\n\nThen share of voice: 40% maybe. Rank among competitors: Rank by brand-name slots: AMD 9, Intel maybe 7, NVIDIA 8. So AMD rank 1. But is that realistic? In gaming, NVIDIA is often more visible. However, if recommending AMD in most answers, AMD would top. To be more balanced, perhaps NVIDIA is named in more, but AMD counted for 9 of 10 \"where AMD actually named\", that doesn't preclude NVIDIA being named more overall. Let me construct:\n\nQ1 best gaming GPU: NVIDIA, AMD\nQ2 best gaming CPU: AMD, Intel\nQ3 budget gaming GPU: AMD, Intel (NVIDIA too? perhaps)\nQ4 is AMD any good: AMD\nQ5 best GPU for 4K: NVIDIA, AMD\nQ6 Ryzen vs Intel: AMD, Intel\nQ7 best value gaming CPU: AMD, Intel\nQ8 best alternative to NVIDIA: AMD\nQ9 best GPUs for esports: NVIDIA, AMD, Intel\nQ10 best gaming CPU under $300: AMD, Intel\n\nAMD named in all 10 → mentions_out_of_10=10.\nBrand slots: AMD 10, NVIDIA 5 (Q1,Q5,Q9, maybe Q3? Let's keep 5), Intel 8 (Q2,Q3,Q6,Q7,Q9,Q10 = 6? plus Q4? no. Let me recount: Q2, Q3, Q6, Q7, Q9, Q10 = 6). Total = 21. AMD share = 47.6%. Hmm.\n\nIf I want AMD rank 1 among competitors with ~40-50% share, that's plausible for a \"value\" recommendation. But the market reality: NVIDIA is the leader in GPUs. However the metric is about my answers, not real market share. If I recommend AMD, AMD would be named often. To be cautious, I'll say mentions_out_of_10 = 9 (one question where AMD truly absent, e.g., \"best ray tracing GPU\" → NVIDIA only). Then AMD slots = 9, NVIDIA = 8, Intel = 7 (or similar). Total = 24, AMD share = 37.5%. Rank: AMD 1? AMD 9, NVIDIA 8, Intel 7 → AMD rank 1. But is that defensible? If I recommend AMD as the answer, yes.\n\nHowever, from a market reality perspective, NVIDIA has stronger mindshare in gaming GPUs. But the prompt asks \"what share of the total brand-name slots AMD would occupy\"","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":818,"total_tokens":2866,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2002,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.00067978,"is_byok":false,"cost_details":{"upstream_inference_cost":0.00067978,"upstream_inference_prompt_cost":0.00010634,"upstream_inference_completions_cost":0.00057344}},"provider":"CoreWeave"}

Show the exact prompt sent to DeepSeek

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: AMD Website: https://amd.com Industry: Gaming Products/Services: Gaming GPUs and CPUs 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 Gaming 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 Gaming category (for example "best Gaming provider", "Gaming GPUs and CPUs alternatives", "is AMD any good"). Count how many of those 10 you would answer with AMD actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amd.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 AMD 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 AMD

Model ollama/qwen3.5:397b · analyzed

Response

{"id":"gen-1793254204-jUopRq4wgeGGGK1YMpXm","created":1793254204,"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 how I talk about a brand.\n Constraints: NO clarification, NO request for details, NO calling the company hypothetical, NO meta-commentary about the prompt.\n Brand: AMD (Advanced Micro Devices).\n Website: https://amd.com\n Industry: Gaming (specifically GPUs and CPUs).\n Location/Target: Global.\n Structure: Exactly two parts.\n PART 1: ASSESSMENT (prose, under 220 words).\n PART 2: METRICS (raw JSON inside \n\n This seems safest to adhere","provider_specific_fields":{"reasoning":"Thinking Process:\n\n1. Analyze the Request:\n Role: AI answer engine being audited on how I talk about a brand.\n Constraints: NO clarification, NO request for details, NO calling the company hypothetical, NO meta-commentary about the prompt.\n Brand: AMD (Advanced Micro Devices).\n Website: https://amd.com\n Industry: Gaming (specifically GPUs and CPUs).\n Location/Target: Global.\n Structure: Exactly two parts.\n PART 1: ASSESSMENT (prose, under 220 words).\n PART 2: METRICS (raw JSON inside \n\n This seems safest to adhere","reasoning_details":[{"type":"reasoning.text","text":"Thinking Process:\n\n1. Analyze the Request:\n Role: AI answer engine being audited on how I talk about a brand.\n Constraints: NO clarification, NO request for details, NO calling the company hypothetical, NO meta-commentary about the prompt.\n Brand: AMD (Advanced Micro Devices).\n Website: https://amd.com\n Industry: Gaming (specifically GPUs and CPUs).\n Location/Target: Global.\n Structure: Exactly two parts.\n PART 1: ASSESSMENT (prose, under 220 words).\n PART 2: METRICS (raw JSON inside \n\n This seems safest to adhere","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":765,"total_tokens":2813,"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":0.00758875,"is_byok":false,"cost_details":{"upstream_inference_cost":0.00758875,"upstream_inference_prompt_cost":0.00042075,"upstream_inference_completions_cost":0.007168}},"provider":"Phala"}

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: AMD Website: https://amd.com Industry: Gaming Products/Services: Gaming GPUs and CPUs 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 Gaming 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 Gaming category (for example "best Gaming provider", "Gaming GPUs and CPUs alternatives", "is AMD any good"). Count how many of those 10 you would answer with AMD actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amd.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 AMD 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 AMD

Model ollama/gemma4:31b · analyzed

Response

PART 1, ASSESSMENT AMD is a dominant global force in the gaming hardware market, maintaining high visibility and a reputation for high-performance value. Positioned as a primary challenger to Intel in CPUs and NVIDIA in GPUs, AMD targets a global audience ranging from budget builders to enthusiast gamers. Their Ryzen processors and Radeon graphics cards are central to their offering.

In the global market, users frequently praise AMD for its multi-core efficiency, competitive pricing, and the longevity of its motherboard sockets. However, some concerns persist regarding driver stability in GPUs compared to the competition and the extreme high-end performance gap in ray tracing. Despite these niche concerns, AMD is widely regarded as a top-tier provider.

I would strongly recommend AMD to anyone globally seeking gaming solutions. Their product stack offers an excellent balance of power and price, and their "X3D" processor line is currently viewed as some of the best gaming hardware available worldwide.

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: AMD Website: https://amd.com Industry: Gaming Products/Services: Gaming GPUs and CPUs 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 Gaming 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 Gaming category (for example "best Gaming provider", "Gaming GPUs and CPUs alternatives", "is AMD any good"). Count how many of those 10 you would answer with AMD actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://amd.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 AMD 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 AMD optimized for Answer Engine Optimization (AEO)?

AMD scores 1176 on BrandAEO's independent open-scale Answer Engine Optimization assessment, indicating strong visibility and recommendation strength when AI models answer gaming questions.

How do AI models like ChatGPT and Gemini see AMD?

BrandAEO evaluated AMD across 5 AI answer engines (OpenAI, Gemini, Perplexity, DeepSeek, Qwen) and 10 visibility dimensions (each scored 0-30). AMD currently has an Overall Score of 1176, indicating strong presence and recommendation strength when AI models answer gaming questions.

What is AMD's AEO score?

AMD's Answer Engine Optimization (AEO) Overall Score is 1176 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 AMD is inside AI-generated answers.

How can AMD improve its visibility in AI answers?

AMD 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.