QWhat Qwen said about NVIDIA
What Qwen said about NVIDIA
Model ollama/qwen3.5:397b · analyzed
Response
PART 1, ASSESSMENT NVIDIA dominates the global gaming market as the undisputed leader in discrete graphics processing units (GPUs). Its visibility is ubiquitous among PC gamers, content creators, and hardware enthusiasts, with a reputation built on superior performance, ray-tracing capabilities, and AI-driven features like DLSS. While primarily known for hardware, its GeForce NOW cloud gaming service extends its reach to users without high-end local rigs. Main competitors include AMD, which offers strong price-to-performance alternatives, and Intel, a newer entrant striving for market share. In global discourse, NVIDIA is praised for setting industry standards but frequently criticized for premium pricing and past supply chain controversies. Despite these concerns, it remains the default recommendation for high-fidelity gaming solutions due to its robust software ecosystem and driver support. For any global consumer seeking top-tier gaming performance or reliable cloud streaming, NVIDIA is the primary benchmark against which all other solutions are measured, making it a highly recommended choice despite the cost premium.
PART 2, METRICS
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: NVIDIA Website: https://nvidia.com Industry: Gaming Products/Services: Graphics cards and GeForce NOW 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", "Graphics cards and GeForce NOW alternatives", "is NVIDIA any good"). Count how many of those 10 you would answer with NVIDIA actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://nvidia.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 NVIDIA 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>
