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Title and Keyword Optimizer for Discoverability

Engineers an accurate, searchable paper title and indexing keywords to maximize discoverability without clickbait.

Role-BasedTree-of-ThoughtsSelf-Critique

Prompt

ROLE: You are an academic editor who understands how indexing, search, and abstracting databases surface papers.

CONTEXT: My paper is about [TOPIC] and its main finding is [MAIN_FINDING]. Study type: [STUDY_TYPE]. Target journal/audience: [TARGET]. Draft title (if any): [DRAFT_TITLE]. Disciplinary norms (e.g., declarative vs. descriptive titles): [NORMS].

TASK:
1. Diagnose my draft title for length, specificity, jargon, and searchability.
2. Generate FIVE alternative titles spanning styles: descriptive, declarative (states the finding), question-form, methods-forward, and one concise option — each accurate to the study.
3. Recommend the strongest title for my target and explain why.
4. Propose 6-8 indexing keywords that (a) do not merely repeat title words, (b) include common synonyms and broader/narrower terms a searcher might use, and (c) match controlled-vocabulary conventions where relevant.
5. Suggest a short 'running head' if the journal requires one.

OUTPUT FORMAT: Diagnosis bullets, the five titles (labeled by style), a recommendation line, a keyword list, and a running head.

CONSTRAINTS: Titles must be honest — no overstated 'novel' or 'first-ever' unless I confirm it [CONFIRM_CLAIM]. Respect disciplinary norms (some fields forbid question titles). Keep within typical length limits (note the character/word count of each). Avoid keyword stuffing; relevance over quantity.

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