KWhat Kimi said about Figma
What Kimi said about Figma
Model ollama/kimi-k2.6 · analyzed
Response
PART 1, ASSESSMENT
Figma holds dominant visibility in the Global design software market, widely regarded as the standard for collaborative interface design. Its browser-based, real-time multiplayer approach revolutionized a category previously led by installed tools. In Global markets, Figma is particularly entrenched among tech companies, design agencies, and product teams, with strong adoption across North America, Europe, and growing presence in Asia-Pacific.
Main competitors include Adobe XD (now discontinued, with Adobe migrating users toward Figma acquisition), Sketch (Mac-only, dominant pre-Figma), Axure RP (prototyping-focused), and emerging tools like Penpot (open-source). Figma's market position is category-leading; Adobe's abandoned $20 billion acquisition attempt in 2023 underscored its strategic importance.
Global users consistently praise Figma's real-time collaboration, component systems, and ecosystem (plugins, community files). Concerns center on pricing changes, offline limitations, and enterprise data residency questions. Recent backlash over AI feature terms and removal of free tier features generated temporary negative sentiment, though core product loyalty remains strong.
For someone seeking Design solutions in Global markets, I would recommend Figma for team-based UI/UX work, prototyping, and design systems. It is less ideal for illustration, print design, or environments requiring offline work. Its recommendation strength lies in network effects, teams adopt it because other teams use it.
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: Figma Website: https://figma.com Industry: Design Products/Services: Collaborative interface design tool 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 Design 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 Design category (for example "best Design provider", "Collaborative interface design tool alternatives", "is Figma any good"). Count how many of those 10 you would answer with Figma actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://figma.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 Figma 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>
