Top AI Prompts for Keyword Research with ClickUp Brain

Identify 5 promising keyword clusters for a new eco-friendly product line, based on the ‘Spring 2025 SEO Strategy’ doc.

Use Case: Accelerates keyword ideation using previous campaign insights.

ClickUp Brain Behaviour: Analyzes linked documents to extract relevant keyword themes and groupings.

What are the trending search terms related to budget smartphones in North America?

Use Case: Supports targeted content creation with up-to-date market data.

ClickUp Brain Behaviour: Compiles insights from internal reports; Brain Max can supplement with current public search trends.

Draft a keyword-focused content brief for a blog post on sustainable fashion, referencing ‘Content Ideas Q2’ and past campaign notes.

Use Case: Aligns marketing and SEO teams with clear, actionable direction.

ClickUp Brain Behaviour: Extracts relevant keywords and context from linked files to generate a structured brief.

Compare keyword performance between ‘Brand A’ and ‘Brand B’ for the ‘Summer Campaign 2024’ using our analytics doc.

Use Case: Enables quick competitive keyword analysis without manual data sorting.

ClickUp Brain Behaviour: Summarizes tabular and textual data from internal analytics into a concise comparison.

List top-performing long-tail keywords in the health tech sector, referencing R&D notes and competitor analysis docs.

Use Case: Identifies niche opportunities for content targeting.

ClickUp Brain Behavior: Scans internal documents to highlight recurring keyword phrases and their effectiveness.

From the ‘Keyword Validation’ doc, generate a checklist for assessing keyword relevance and search intent.

Use Case: Simplifies keyword evaluation with a ready-to-use framework.

ClickUp Brain Behavior: Extracts criteria from documents and formats them into a practical checklist within a task or doc.

Summarize 3 emerging voice search trends from recent user behavior studies and SEO reports.

Use Case: Keeps content strategies aligned with evolving search habits.

ClickUp Brain Behavior: Identifies patterns and key findings from linked research documents.

From the ‘Millennial Search Preferences’ doc, summarize key keyword themes for lifestyle blogs.

Use Case: Helps content teams tailor topics to audience interests.

ClickUp Brain Behavior: Analyzes survey data to extract dominant keyword trends and user intents.

Write concise meta descriptions for top-ranking pages using the tone guide in ‘BrandVoice.pdf’.

Use Case: Accelerates SEO copywriting with consistent brand voice.

ClickUp Brain Behavior: Draws style cues from the document to suggest varied meta description options.

Summarize recent changes in Google’s algorithm updates and their impact on keyword strategies.

Use Case: Keeps SEO teams informed for timely strategy adjustments.

ClickUp Brain Behavior: Reviews linked update notes and synthesizes key takeaways for keyword planning.

Generate guidelines for keyword placement in product descriptions, referencing regional SEO best practices docs.

Use Case: Ensures content complies with local optimization standards.

ClickUp Brain Behavior: Extracts rules and recommendations from internal documents to create a compliance checklist.

Create a keyword audit checklist using the latest SEO audit PDFs and our content folder.

Use Case: Helps SEO teams systematically review keyword usage.

ClickUp Brain Behavior: Identifies audit points from PDFs and organizes them by priority and category.

Compare keyword density and usage across competitor blogs like BrandX, BrandY, and BrandZ using our analysis docs.

Use Case: Supports benchmarking for content optimization.

ClickUp Brain Behavior: Summarizes comparative data into clear, actionable insights (tables or briefs).

What keyword trends are emerging in the AI software market since 2023?

Use Case: Provides R&D teams with forward-looking SEO insights.

ClickUp Brain Behavior: Synthesizes trends from internal reports, market analyses, and uploaded studies.

Summarize key content gaps identified from Southeast Asia market keyword research (search volume, competition, intent).

Use Case: Drives region-specific content strategy improvements.

ClickUp Brain Behavior: Extracts and prioritizes keyword opportunities from survey data, feedback, and analytics.

Define your keyword research focus clearly

Vague prompts yield broad results. Specify details like industry (e.g., “organic skincare”), target audience (e.g., “millennials interested in wellness”), or campaign goal (e.g., “boost local search visibility”).

Example: “Identify high-traffic keywords for eco-friendly beauty products aimed at urban professionals.”

Use comparative prompts to evaluate keywords

AI excels at contrasting options. Use prompts like “compare keyword A vs keyword B” to assess search volume, competition, or relevance.

Example: “Compare search intent and difficulty between ‘budget laptops’ and ‘affordable notebooks.’”

Frame prompts around specific research tasks

Treat your prompt as a clear assignment. Instead of “Find keywords,” focus on actionable goals:

Example: “Generate a list of long-tail keywords for a new vegan restaurant targeting local diners.”

Specify the desired output format

Need a ranked list, keyword clusters, or content ideas? Define it explicitly. AI delivers better when output expectations are clear.

Example: “Provide top 10 keywords for home fitness equipment in a table with monthly search volume and competition level.”