M

How AI Sees Monday — AI Visibility Report for Productivity

monday.com · Global · Productivity

Strong
Overall Score
1131
Star Rating
4 / 5
Rank
#190of 337
Engines
3analyzed
Analyzed
Quick Answer

Is Monday optimized for AEO?

Monday scores 1131 on BrandAEO's independent open-scale AEO assessment (ranked #190 of 337 brands analyzed) — a strong level of visibility and recommendation strength when AI answer engines respond to productivity questions.

Overall AI Visibility Score
1131
4 / 5
Strong

How AI Answer Engines Rate Monday

Ranked #190 of 337 brands analyzed

Monday'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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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.

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Dimension Breakdown

10

How the Overall Score is built

756from 10 dimensions (max 1,000)+375evidence (max 500)=1131
  • Mentioned in buyer-intent answers75/100
  • Proactively recommended100/100
  • AI visibility (engine-reported)80/100
  • Share of voice vs competitors20/100
  • Sentiment100/100

Evidence = numbers the 2/3 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
85/100
Brand Recognition
Strong
95/100
Brand Sentiment
Strong
90/100
Citation Authority
Fair
70/100
Competitive Positioning
Strong
80/100
Market Score
Strong
78/100
Presence Quality
Strong
75/100
Recommendation Rate
Strong
95/100
Share of Voice
Weak
20/100
Topical Coverage
Fair
68/100

AEO Score Over Time

5
Monday AEO Trend

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

03136259381250Jul 30Sep 14Sep 28Oct 12Oct 26

About Monday

Monday operates in productivity (Global). This page summarizes how leading AI answer engines currently describe and recommend Monday, based on BrandAEO's independent open-scale AI-visibility assessment (Overall Score 1131, ranked #190 of 337).

Monday vs Competitors

Competitive positioning analysis is being prepared for Monday.

How Monday Can Improve

5

Clarify Pricing Tiers

High

Create clear, localized pricing guides and ROI calculators to address cost‑concern narratives in AI outputs.

New

Enrich Citation Pool

High

Add authoritative third‑party references (e.g., Gartner, Forrester) to improve citation authority scores.

New

Expand Enterprise Case Studies

Medium

Publish detailed case studies with Microsoft and Google ecosystem integrations to boost enterprise credibility.

New

Simplify Onboarding Guides

Medium

Develop step‑by‑step tutorials for advanced features to reduce perceived learning‑curve friction.

New

Audit Answer Accuracy

Low

Run periodic fact‑checking of AI‑generated content to ensure consistency on metrics like indexed pages and visibility scores.

New

What AI Engines Said About Monday

3

3 of 3 AI engines returned an answer about Monday 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.

Q

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>

M

What MiniMax said about Monday

Model ollama/minimax-m3 · analyzed

Response

PART 1, ASSESSMENT

Monday is a well-established global work-management platform, commonly described as a “Work OS” for projects, workflows, portfolios, and cross-functional collaboration. Its international brand visibility is strong: it serves organizations across many countries and languages, and is frequently discussed alongside Asana, Trello, ClickUp, Smartsheet, Wrike, Notion, and Microsoft Planner. It is especially visible among project managers, operations teams, agencies, and distributed businesses.

Its market position is strongest as a flexible, visually oriented alternative to traditional enterprise work-management suites. The product supports customizable workflows, dashboards, automation, forms, timelines, and integrations with tools such as Slack, Google Workspace, Microsoft 365, GitHub, and Salesforce. This breadth makes it attractive to businesses that want configurable processes without a complex implementation.

User sentiment is generally positive, particularly around ease of use, dashboard presentation, templates, and the availability of plans for different team sizes. Common concerns include pricing as a business scales, the learning curve created by extensive configuration options, feature limitations on lower-tier plans, and occasional criticism about workload management and support consistency. Comparisons with ClickUp, Asana, and Smartsheet often depend on team priorities, budget, and governance requirements.

I would recommend Monday to a global buyer seeking a modern, customizable productivity and workflow platform, provided they compare total cost, required integrations, and enterprise controls before committing. It is less suitable for buyers primarily seeking a simple note-taking tool, a tightly governed enterprise suite, or a no-cost solution.

PART 2, METRICS

Show the exact prompt sent to MiniMax

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>

K

What Kimi said about Monday

Model ollama/kimi-k2.6 · analyzed

Response

PART 1, ASSESSMENT

Monday.com is a well-established global player in the productivity and work management space, headquartered in Israel but operating worldwide with localized offices and marketing. Its visibility is strong among mid-market and enterprise teams, though it trails Asana and Notion in organic brand recognition among smaller teams, and falls well behind Microsoft and Google in enterprise penetration where existing ecosystem bundling dominates.

In the Global market, Monday.com positions itself as a flexible "Work OS" rather than a narrow project management tool, emphasizing no-code customization, automations, and cross-departmental use cases from marketing to HR to operations. Its main competitors are Asana (similar mid-market positioning), ClickUp (aggressive pricing, feature breadth), Notion (document-first teams), Smartsheet (enterprise, spreadsheet-native users), and the platform giants Microsoft Project/Planner/Loop and Google Workspace add-ons.

User sentiment globally tends to praise its intuitive visual interface, template library, and customer support, while recurring concerns include pricing escalation as teams scale, feature complexity that can overwhelm simpler use cases, and occasional performance issues with large boards. Third-party review aggregators like G2 and Capterra consistently place it in top quartiles for satisfaction.

I would recommend Monday.com to Global buyers seeking a visually-driven, adaptable work management platform, particularly for teams of 10-500 who need cross-functional alignment without heavy IT involvement. For pure document collaboration, Notion or Google wins; for deeply integrated Microsoft enterprises, Monday faces uphill adoption.

Show the exact prompt sent to Kimi

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>

Frequently Asked Questions

4
Is Monday optimized for Answer Engine Optimization (AEO)?

Monday scores 1131 on BrandAEO's independent open-scale Answer Engine Optimization assessment, indicating strong visibility and recommendation strength when AI models answer productivity questions.

How do AI models like ChatGPT and Gemini see Monday?

BrandAEO evaluated Monday across 5 AI answer engines (OpenAI, Gemini, Perplexity, DeepSeek, Qwen) and 10 visibility dimensions (each scored 0-30). Monday currently has an Overall Score of 1131, indicating strong presence and recommendation strength when AI models answer productivity questions.

What is Monday's AEO score?

Monday's Answer Engine Optimization (AEO) Overall Score is 1131 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 Monday is inside AI-generated answers.

How can Monday improve its visibility in AI answers?

Monday 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.