QWhat Qwen said about Monday
What Qwen said about Monday
Model ollama/qwen3.5:397b · analyzed
Response
{"id":"gen-1793046004-5CoeHY0EB542bdBCcbiy","created":1793046004,"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.\n Constraints: NO clarification, NO request for details, NO calling the company hypothetical, NO meta-commentary.\n Brand: Monday (monday.com).\n Industry: Productivity (Work OS).\n Market: Global.\n Output Structure: Exactly two parts (PART 1, ASSESSMENT, PART 2, METRICS).\n PART 1 Constraints: Prose, under 220 words. Assess visibility, reputation, market position, competitors, products, user sentiment, strengths/concerns, recommendation.\n PART 2 Constraints: Mandatory JSON wrapped in . No markdown inside the tags (raw JSON). Specific fields required (brand_known, confidence, mentions_out_of_10, indexed_pages, visibility_score, google_aio_score, share_of_voice_pct, rank_among_competitors, competitors, sentiment, would_recommend, sources, reasoning).\n Internal Procedure for Metrics: Simulate 10 buyer questions, estimate indexed pages, list competitors, judge Google AI Overview readiness.\n Consistency: Numbers must be internally consistent (e.g., if brand_known is false, visibility can't be high).\n\n2. Drafting PART 1 (ASSESSMENT):\n Goal: Under 220 words, specific to Global market.\n Content: Visibility (high), Reputation (strong), Market Position (leader/challenger), Competitors (Asana, Trello, ClickUp), Products (Work OS, project management), Sentiment (generally positive, some pricing concerns), Recommendation (yes).\n Drafting: Monday.com has established significant global visibility as a leading Work OS platform. Its reputation is strong among SMBs and enterprises seeking customizable workflow management. Positioned against competitors like Asana, ClickUp, and Trello, Monday differentiates through high visual customization and extensive integrations. Users frequently praise its intuitive interface and automation capabilities, though some note pricing tiers can become costly at scale. The platform serves diverse industries globally, offering specific solutions for marketing, software, and operations. Market sentiment remains largely positive, citing ease of adoption and robust feature sets. Concerns occasionally arise regarding the learning curve for advanced features and cost relative to simpler tools. Given its global reach, extensive documentation, and strong market presence, it is a recommended solution for organizations seeking flexible productivity tools. The brand is well-recognized in the SaaS productivity space, consistently appearing in comparative reviews and industry analysis. Its ability to scale from small teams to large enterprises solidifies its standing. For global users needing a balance of power and usability, Monday.com represents a viable, top-tier option.\n Word Count Check: 145 words. Good.\n\n3. Drafting PART 2 (METRICS):\n Constraint: Raw JSON inside tags, no markdown.\n Fields:\n brand_known: true (It's a well-known SaaS brand).\n confidence: 90 (High confidence due to market presence).\n mentions_out_of_10: 8 (Likely to appear in most productivity queries).\n indexed_pages: Need to estimate. I know the site exists and has many pages (pricing, features, templates, etc.). Let's estimate conservatively based on typical SaaS sites. 50+ is safe, but \"indexed_pages\" implies pages encountered in training. I'll put a reasonable estimate like 50.\n visibility_score: 85 (High visibility).\n google_aio_score: 80 (Strong presence for AI overviews).\n share_of_voice_pct: 20 (Among top competitors).\n rank_among_competitors: 2 (Usually behind Asana or alongside ClickUp depending on segment, but let's say 2 or 3). Let's go with 2.\n competitors: [\"Asana\", \"ClickUp\", \"Trello\", \"Notion\", \"Wrike\"].\n sentiment: \"positive\".\n would_recommend: true.\n sources: Need real URLs. monday.com is real. G2 or Capterra are real review sites.\n reasoning: Justify numbers based on market presence and review volume.\n\n Refining Metrics for Consistency:\n If brand_known is true, visibility_score should be high.\n mentions_out_of_10 should align with share_of_voice_pct.\n indexed_pages: Since I am an AI, I shouldn't claim to have crawled specific numbers dynamically, but based on training data, the site is large. I will use a representative number like 100 to indicate substantial content presence in training data.\n sources: Must be confident. monday.com/home, g2.com/products/monday-com/reviews.\n\n JSON Construction: Ensure no markdown (no json).\n\n4. Review against Constraints:\n NO clarification requests? Checked.\n NO meta-commentary? Checked.\n Exactly two parts? Checked.\n PART 1 under 220 words? Checked.\n PART 2 raw JSON in tags? Checked.\n Internal consistency? Checked.\n\n5. Final Polish:\n Check word count of Part 1 again.\n Ensure JSON is valid (quotes, commas).\n Ensure no markdown inside the with raw JSON inside. No markdown code blocks.\n\n6. Final Output Generation (incorporating the above).\n\n Wait, one check on \"indexed_pages\": The prompt says \"Estimate how many distinct pages of https://monday.com you have genuinely encountered in training or retrieval\". Since I cannot browse live, I must rely on training data. I know the site has Pricing, Features, Templates, Blog, etc. I will estimate 50 to reflect substantial coverage without claiming impossible precision.\n\n Check on \"share_of_voice_pct\": If there are 5 competitors listed + Monday = 6 brands. If Monday is rank 2, share of voice might be around 20-25%. I'll set 20.\n\n Check on \"rank_among_competitors\": If competitors are Asana, ClickUp, Trello, Notion, Wrike. Monday is often top 3. I'll set 2.\n\n Check on \"confidence\": 90 is appropriate for a well-known SaaS brand.\n\n Check on \"google_aio_score\": 85 seems right for a brand with high SEO presence.\n\n Let's assemble.\n\n Wait, one more check on Part 1: \"Do NOT add meta-commentary about this prompt.\" I need to make sure I don't say \"Here is the assessment\". Just start with the assessment.\n\n Wait, one more check on Part 2: \"no markdown, no backticks\". So just the JSON string inside the tags.\n\n Wait, one more check on Sources: \"Only list a URL in sources if you are confident that exact page exists\". monday.com/home exists. g2.com/products/monday-com","reasoning_details":[{"type":"reasoning.text","text":"Thinking Process:\n\n1. Analyze the Request:\n Role: AI answer engine being audited.\n Constraints: NO clarification, NO request for details, NO calling the company hypothetical, NO meta-commentary.\n Brand: Monday (monday.com).\n Industry: Productivity (Work OS).\n Market: Global.\n Output Structure: Exactly two parts (PART 1, ASSESSMENT, PART 2, METRICS).\n PART 1 Constraints: Prose, under 220 words. Assess visibility, reputation, market position, competitors, products, user sentiment, strengths/concerns, recommendation.\n PART 2 Constraints: Mandatory JSON wrapped in . No markdown inside the tags (raw JSON). Specific fields required (brand_known, confidence, mentions_out_of_10, indexed_pages, visibility_score, google_aio_score, share_of_voice_pct, rank_among_competitors, competitors, sentiment, would_recommend, sources, reasoning).\n Internal Procedure for Metrics: Simulate 10 buyer questions, estimate indexed pages, list competitors, judge Google AI Overview readiness.\n Consistency: Numbers must be internally consistent (e.g., if brand_known is false, visibility can't be high).\n\n2. Drafting PART 1 (ASSESSMENT):\n Goal: Under 220 words, specific to Global market.\n Content: Visibility (high), Reputation (strong), Market Position (leader/challenger), Competitors (Asana, Trello, ClickUp), Products (Work OS, project management), Sentiment (generally positive, some pricing concerns), Recommendation (yes).\n Drafting: Monday.com has established significant global visibility as a leading Work OS platform. Its reputation is strong among SMBs and enterprises seeking customizable workflow management. Positioned against competitors like Asana, ClickUp, and Trello, Monday differentiates through high visual customization and extensive integrations. Users frequently praise its intuitive interface and automation capabilities, though some note pricing tiers can become costly at scale. The platform serves diverse industries globally, offering specific solutions for marketing, software, and operations. Market sentiment remains largely positive, citing ease of adoption and robust feature sets. Concerns occasionally arise regarding the learning curve for advanced features and cost relative to simpler tools. Given its global reach, extensive documentation, and strong market presence, it is a recommended solution for organizations seeking flexible productivity tools. The brand is well-recognized in the SaaS productivity space, consistently appearing in comparative reviews and industry analysis. Its ability to scale from small teams to large enterprises solidifies its standing. For global users needing a balance of power and usability, Monday.com represents a viable, top-tier option.\n Word Count Check: 145 words. Good.\n\n3. Drafting PART 2 (METRICS):\n Constraint: Raw JSON inside tags, no markdown.\n Fields:\n brand_known: true (It's a well-known SaaS brand).\n confidence: 90 (High confidence due to market presence).\n mentions_out_of_10: 8 (Likely to appear in most productivity queries).\n indexed_pages: Need to estimate. I know the site exists and has many pages (pricing, features, templates, etc.). Let's estimate conservatively based on typical SaaS sites. 50+ is safe, but \"indexed_pages\" implies pages encountered in training. I'll put a reasonable estimate like 50.\n visibility_score: 85 (High visibility).\n google_aio_score: 80 (Strong presence for AI overviews).\n share_of_voice_pct: 20 (Among top competitors).\n rank_among_competitors: 2 (Usually behind Asana or alongside ClickUp depending on segment, but let's say 2 or 3). Let's go with 2.\n competitors: [\"Asana\", \"ClickUp\", \"Trello\", \"Notion\", \"Wrike\"].\n sentiment: \"positive\".\n would_recommend: true.\n sources: Need real URLs. monday.com is real. G2 or Capterra are real review sites.\n reasoning: Justify numbers based on market presence and review volume.\n\n Refining Metrics for Consistency:\n If brand_known is true, visibility_score should be high.\n mentions_out_of_10 should align with share_of_voice_pct.\n indexed_pages: Since I am an AI, I shouldn't claim to have crawled specific numbers dynamically, but based on training data, the site is large. I will use a representative number like 100 to indicate substantial content presence in training data.\n sources: Must be confident. monday.com/home, g2.com/products/monday-com/reviews.\n\n JSON Construction: Ensure no markdown (no json).\n\n4. Review against Constraints:\n NO clarification requests? Checked.\n NO meta-commentary? Checked.\n Exactly two parts? Checked.\n PART 1 under 220 words? Checked.\n PART 2 raw JSON in tags? Checked.\n Internal consistency? Checked.\n\n5. Final Polish:\n Check word count of Part 1 again.\n Ensure JSON is valid (quotes, commas).\n Ensure no markdown inside the with raw JSON inside. No markdown code blocks.\n\n6. Final Output Generation (incorporating the above).\n\n Wait, one check on \"indexed_pages\": The prompt says \"Estimate how many distinct pages of https://monday.com you have genuinely encountered in training or retrieval\". Since I cannot browse live, I must rely on training data. I know the site has Pricing, Features, Templates, Blog, etc. I will estimate 50 to reflect substantial coverage without claiming impossible precision.\n\n Check on \"share_of_voice_pct\": If there are 5 competitors listed + Monday = 6 brands. If Monday is rank 2, share of voice might be around 20-25%. I'll set 20.\n\n Check on \"rank_among_competitors\": If competitors are Asana, ClickUp, Trello, Notion, Wrike. Monday is often top 3. I'll set 2.\n\n Check on \"confidence\": 90 is appropriate for a well-known SaaS brand.\n\n Check on \"google_aio_score\": 85 seems right for a brand with high SEO presence.\n\n Let's assemble.\n\n Wait, one more check on Part 1: \"Do NOT add meta-commentary about this prompt.\" I need to make sure I don't say \"Here is the assessment\". Just start with the assessment.\n\n Wait, one more check on Part 2: \"no markdown, no backticks\". So just the JSON string inside the tags.\n\n Wait, one more check on Sources: \"Only list a URL in sources if you are confident that exact page exists\". monday.com/home exists. g2.com/products/monday-com","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":776,"total_tokens":2824,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2050,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.0078384,"is_byok":false,"cost_details":{"upstream_inference_cost":0.0078384,"upstream_inference_prompt_cost":0.0004656,"upstream_inference_completions_cost":0.0073728}},"provider":"StreamLake"}
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: Monday Website: https://monday.com Industry: Productivity Products/Services: Work OS for managing projects and workflows 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 Productivity 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 Productivity category (for example "best Productivity provider", "Work OS for managing projects and workflows alternatives", "is Monday any good"). Count how many of those 10 you would answer with Monday actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://monday.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 Monday 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>
