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Best prompts for YouTube titles using competitor analysis
12 copy-ready prompts to analyze competitors and generate high-converting, SEO-friendly YouTube titles. Each prompt is practical, specific, and includes a realistic example you can paste into an AI.
Claude Opus 4
Claude Sonnet 4
Gemini 2.5 Pro
GPT-5
Gemini 2.5 Flash
You know that sinking feeling when you spend 30 minutes crafting what you think is the perfect YouTube title, only to watch it get buried while your competitors rack up millions of views with seemingly effortless headlines? I've been there too, staring at my analytics wondering how channels half my size consistently outperform me with titles that somehow hit every psychological trigger and SEO sweet spot. The truth is, they're not just guessing at what works.
These 12 battle-tested prompts transform your title creation from random guesswork into strategic competitor intelligence that actually converts. You'll discover exactly how top-performing channels structure their headlines, extract their winning formulas, and adapt their psychological triggers for your own content. Instead of wondering why your titles flop while competitors thrive, you'll reverse-engineer their success and create titles that capture attention, drive clicks, and dominate search results in your niche.
1
Competitor Title Pattern Summary
Analyze the following competitor video titles and metadata. Identify the top 6 recurring title patterns, 12 most-used words/phrases, typical CTA styles, average title length, and three headline formulas I should replicate. Input: {channel_names: [list], competitor_titles: [list of titles], upload_dates: [optional], view_counts: [optional]}. Output: JSON with patterns[], topWords[], ctastyles[], avgLength, formulas[].
Analyze a set of competitor titles and return the top patterns, common words, and headline formulas to reuse.
2
10 CTR-Optimized Title Variants from Top Competitors
Given primary_keyword: "best budget smartphone 2025", competitor_top_titles: [list], target_audience: "tech shoppers 18-45", desired_length: 40-70 characters, tone: "excited, authoritative", produce 10 title variants optimized for CTR. Number each title and include a one-line reason for expected CTR improvement.
Create 10 high-CTR title alternatives based on competitor winners and a primary keyword. Keep lengths and hooks varied.
3
SEO-Focused Titles with Keyword Placement
Using target_keyword: "wireless earbuds review", competitor_keywords: [list], search_intent: "informational + purchase", produce 8 titles optimized for YouTube search. For each title include: character count, where the target keyword appears (start/middle/end), and suggested tags (3).
Produce title options that prioritize SEO by placing keywords for search intent while staying clickable.
4
Emotion-Driven Titles Based on Competitor Language
From competitor_titles: [list] extract the emotional tones used. Then produce 12 titles split evenly across three emotions: curiosity, FOMO, and surprise. Mark each title with its emotion and one-sentence justification referencing competitor language patterns.
Generate titles that use emotional triggers (curiosity, fear of missing out, surprise) observed in competitors.
5
A/B Test Title Pairs Using Competitor Winning Words
Provide 10 A/B test pairs (A and B). For each pair, list: title A, title B, key differing element (word, length, emotion), and a one-sentence hypothesis predicting which will win and why (reference competitor examples). Keep each title under 70 characters.
Create paired titles for A/B testing that mirror competitor winning words and provide hypotheses for each pair.
6
Trend-Adaptive Titles from Recent Competitor Momentum
Analyze competitor_recent_trending: {titles: [list], dates: [last 30 days], topics: [list]}. Create 8 titles that reference current trends, include a short suggested publish timeframe (days) and 2-sentence pitch explaining why each will capitalize on competitor momentum.
Leverage competitors' recent trending videos to craft timely titles that ride the same trends.
7
Niche-Specific Title Templates Extracted from Competitors
From competitor_titles: [list] extract the 5 most effective title templates for niche: "fitness for busy professionals". Then generate 15 sample titles (3 per template) using primary keywords: [list]. Return templates and samples in a clear list.
Extract reusable title templates from competitors and generate ready-to-use titles for your niche.
Stop Losing Your AI Work
Tired of rewriting the same prompts, juggling ChatGPT and Claude in multiple tabs, and watching your best AI conversations disappear forever?
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Twitter Videos
Facebook/Meta Ads
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