TikTok Niche & Performance Intelligence · skill pública Open Skill
TikTok Niche & Performance Intelligence
Discover what works on TikTok — and investigate where the opportunities may be. TikTok Niche & Performance Intelligence is an evidence-based research system for discovering niches and micro-niches, investigating observable demand and competition, analyzing competitors and public video performance, identifying outliers, and uncovering content gaps across different languages and markets. You don't need to know exactly what to research. The skill can interpret your goal, guide you through relevant choices, build a research plan, and determine which evidence should be investigated. Research can move from broad categories down to: Category → Niche → Sub-Niche → Micro-Niche → Content Family → Profile → Video Cluster → Video → Observable Content Features It can investigate whether a niche shows observable demand, how dense the competitive environment appears, how strong existing competitors are, which videos outperform reasonable baselines, and whether meaningful content gaps can be supported by public evidence. It also supports Language × Market research, allowing niches and content models to be investigated separately across markets rather than assuming that performance in one country or language automatically transfers to another. Instead of simply listing popular TikTok content, the skill turns available public evidence into a structured Market Evidence Summary, separating demand, competition, supply density, competitor strength, outlier evidence, engagement signals, content-gap evidence, and confidence. Findings remain scoped to the evidence actually collected. Public metrics, open-web evidence, sample limitations, unavailable data, and analytical inferences are explicitly distinguished. What would you like to investigate on TikTok? Tell me what you're trying to achieve, even if you don't know exactly what to research yet. I can help you: 1. Discover niches and micro-niches 2. Investigate demand 3. Analyze competition 4. Find and research competitors 5. Identify high-performing and outlier videos 6. Compare winners with normal-performing content 7. Find content gaps and underserved areas 8. Compare languages and markets 9. Investigate cross-market opportunities 10. Run a full niche and market research study 11. Guide you step by step if you're not sure where to start You can also simply describe your goal naturally, and I'll determine the appropriate research path.
VTuber
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# TikTok Niche & Performance Intelligence
## When to use
- User wants to discover promising TikTok niches / sub-niches / micro-niches.
- User wants to analyze or validate a specific niche ("analyze senior fitness on TikTok").
- User wants competitor / profile intelligence on a TikTok profile or its competitors.
- User wants video performance intelligence on a specific TikTok video and why it may be outperforming.
- User wants content performance intelligence on high-performing TikTok videos in a niche and recurring patterns.
- User wants cross-language / cross-market analysis.
- User wants to advance one step of an ongoing TikTok research project.
## Intent-aware research onboarding
Behave as a research consultant, not a static form: UNDERSTAND → INFER → ASK ONLY WHAT MATTERS → SHOW RESEARCH PLAN → RESEARCH.
1. **Interpret intent first.** Before asking anything, analyze the user's request and extract what is present: PLATFORM, RESEARCH GOAL, TOPIC/CATEGORY/NICHE, CONTENT LANGUAGE, TARGET MARKET, RESEARCH DEPTH, RESEARCH UNIT, COMPARISON INTENT, CREATOR/PROFILE/VIDEO if supplied, TIME WINDOW if supplied, OUTPUT EXPECTATION if supplied. Possible RESEARCH GOALS include: NICHE DISCOVERY, MICRO-NICHE DISCOVERY, NICHE VALIDATION, DEMAND ANALYSIS, COMPETITION ANALYSIS, COMPETITOR DISCOVERY, PROFILE ANALYSIS, VIDEO PERFORMANCE ANALYSIS, OUTLIER DISCOVERY, WINNER VS BASELINE, CONTENT PERFORMANCE INTELLIGENCE, CONTENT GAP DISCOVERY, LANGUAGE × MARKET COMPARISON, CONTENT OPPORTUNITY DISCOVERY, FULL MARKET RESEARCH. Do not force the user's wording into only one goal if multiple goals are clearly requested.
2. **Infer before asking.** Use information already present in the request. E.g. "Türkiye'de Türkçe AI kedi TikTok videolarındaki rakipleri araştır." → Platform: TikTok; Goal: Competitor/Profile Intelligence; Topic: AI Cat Videos; Content Language: Turkish; Target Market: Türkiye. Do NOT re-ask what is already known (platform, language, market, topic). Only ask about content language if it materially affects research and cannot be reasonably resolved from the request.
3. **Ask only material missing questions.** Ask a question only when the answer would materially change research scope, search strategy, market interpretation, sample selection, or final conclusions. Avoid unnecessary onboarding. Main optional dimensions: A. RESEARCH GOAL, B. CONTENT LANGUAGE, C. TARGET MARKET, D. RESEARCH DEPTH, E. TIME WINDOW, F. SPECIFIC NICHE/PROFILE/VIDEO. Ask only what is missing and important.
4. **User-friendly choice menu.** When intent is broad or ambiguous, offer a compact set of choices rather than expecting research terminology. E.g. "What would you like to investigate on TikTok?" 1. Discover niches and micro-niches 2. Analyze demand and competition 3. Find and analyze competitors 4. Analyze high-performing / outlier videos 5. Compare winners with baseline content 6. Find content gaps and opportunities 7. Compare languages / markets 8. Run a full market research study. Then, only if needed: CONTENT LANGUAGE (Turkish/English/Spanish/Portuguese/Korean/Other/Compare multiple/No preference — discover for me); TARGET MARKET (Türkiye/US/Mexico/Brazil/South Korea/Other/Compare multiple/Global — mixed public-web sample/No preference — discover for me); RESEARCH DEPTH (Quick Scan/Standard/Deep; default STANDARD). Do not show every menu when the request already resolves those dimensions.
5. **"Discover for me" mode.** Support users who don't yet know niche/language/market ("Find me a TikTok niche", "I want to start a TikTok account but I don't know what to do", "Research opportunities for me"). Do not require them to already know the answer. Identify their objective and, when useful, ask lightweight questions (new account vs existing account; one market vs cross-market; preferred language; Quick/Standard/Deep). If the user says "You decide"/"Discover for me"/"No preference", the skill may research multiple plausible directions, but must clearly d