Best prompts for YouTube for titles using keyword density management

Input: primary keyword, desired density percentage (e.g., 20%), target word range (min–max). Output: 10 unique YouTube titles that each: (1) use only the primary keyword as the exact keyword counted, (2) meet the requested keyword density calculated as (occurrences ÷ total words) × 100 ±1%, (3) are within the target word range, (4) are clickworthy and avoid repetition that feels spammy. For each title, show the word count and actual keyword density. Example input: primary keyword = "home workout", density = 20%, word range = 5–8.

Input: primary keyword with density target (e.g., "meal prep", 18%), secondary keyword with density target (e.g., "easy recipes", 8%), total word limit (max words). Output: 12 titles that: (1) include the primary and optionally the secondary keyword, (2) meet both density targets ±1% where present, (3) avoid exact duplicate wording, (4) include a bracketed hook in at least 4 titles. For each title show word count and both densities.

Input: primary keyword and exact word count (3–5). Output: 8 sharp titles that: (1) meet the exact word count, (2) maximize keyword density by repeating keyword only if natural, (3) remain clickable and clear. Mark the keyword count and density for each title.

Input: long-tail keyword (e.g., "best waterproof hiking boots for winter"), target density (e.g., 5%), max characters (e.g., 70). Output: 10 titles that: (1) include the long-tail keyword at or below the target density, (2) are under the max characters, (3) include a short hook (emoji optional) in 3 titles. Provide word count and density per title.

Input: primary keyword, density min and max (e.g., 6%–12%), preferred tone (e.g., casual, authoritative), number of titles (10). Output: titles that each: (1) have density between min and max inclusive, (2) match the tone, (3) include a one-sentence rationale explaining how the title avoids stuffing and remaining clickable.

Input: primary keyword, density target, number of pairs (e.g., 6). Output: N pairs where each pair: (A) and (B) have the same total word count and the same keyword density ±0.5%, (B) differ in emotional trigger or formatting (numbers, brackets, power word). Provide metrics (word count, density) for each variant.