DWhat DeepSeek said about AMD
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>
