QWhat Qwen said about World Food Programme
What Qwen said about World Food Programme
Model ollama/qwen3.5:397b · analyzed
Response
PART 1, ASSESSMENT In the global market, the World Food Programme (WFP) holds an unrivaled position as the leading humanitarian organization dedicated to hunger alleviation. Its visibility is exceptional, reinforced by its status as a United Nations agency and its receipt of the 2020 Nobel Peace Prize, which cemented its reputation for neutrality and effectiveness in crisis zones. Unlike commercial entities, WFP's "products" are life-saving food assistance, nutrition programs, and logistics services deployed in conflict areas and after natural disasters. Its primary operational peers include UNICEF, the Food and Agriculture Organization (FAO), and large NGOs like Save the Children and Mercy Corps, though WFP remains the dominant player specifically for large-scale food logistics and emergency response. Public sentiment globally is overwhelmingly positive, viewing the brand as a critical safety net; however, occasional concerns arise regarding funding gaps or access restrictions in active war zones rather than operational failures. For any entity or individual seeking nonprofit solutions related to global food security, disaster relief, or supply chain humanitarian aid, WFP is the definitive recommendation. It possesses the infrastructure, mandate, and track record that smaller competitors cannot match, making it the central pillar of the international food aid architecture.
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: World Food Programme Website: https://wfp.org Industry: Nonprofit Products/Services: Food aid programs and partnerships 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 Nonprofit 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 Nonprofit category (for example "best Nonprofit provider", "Food aid programs and partnerships alternatives", "is World Food Programme any good"). Count how many of those 10 you would answer with World Food Programme actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://wfp.org 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 World Food Programme 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>
