Skip to main content
Back to Blog
Prompt Engineering

Best Gemini Prompts: 35+ Templates for Google's AI

Curated Gemini prompt templates optimized for Google's AI. Covers research, data analysis, multimodal tasks, and Google Workspace integration techniques.

Keyur Patel
Keyur Patel
February 19, 2026
•
14 min read

Best Gemini Prompts: 35+ Templates for Google's AI

Google's Gemini brings unique strengths to the AI landscape, as detailed in Google's Gemini API documentation: deep web integration for real-time research, powerful multimodal capabilities across text, images, video, and audio, and native Google Workspace connectivity. These prompts are optimized to leverage exactly those advantages.

Every template below has been tested on Gemini 2.5 Pro and Flash. They follow the same proven prompt writing principles as our other collections, adapted for Gemini's specific strengths.

What Makes Gemini Different to Prompt

Before jumping into templates, here's what Gemini does best and how that shapes your prompts:

Real-time web access. Gemini can search the web during a conversation. Unlike models that rely on training data, you can ask about current events, recent prices, or breaking news.

Multimodal natively. Gemini processes images, video, and audio alongside text in a single conversation. Use this for visual analysis, video summarization, and cross-modal tasks.

Long context window. Gemini 2.5 Pro handles 1M+ tokens: entire codebases, books, or document collections in a single prompt.

Google ecosystem. Gemini integrates with Gmail, Docs, Sheets, Slides, Drive, and Maps. Prompts can reference and work with your Google data.

For a detailed feature comparison, see our ChatGPT vs Claude vs Gemini guide.

Research & Information Prompts

Current Events Researcher

Research the current state of [topic] as of today.

I need:
1. Key recent developments (last 30 days)
2. Major players and their positions
3. Data points and statistics with sources
4. Expert opinions and consensus view
5. What's likely to happen next (based on trends)

Format as a briefing document: Executive Summary (3 sentences),
followed by sections for each point above. Include links to
sources where possible.

Constraints:
- Distinguish between confirmed facts and speculation
- Note conflicting information where it exists
- Flag any information you're uncertain about

Academic Literature Reviewer

Help me understand the current academic landscape on [topic].

Search for and summarize:
1. The foundational papers and concepts
2. Recent developments (2024-2026)
3. Key debates and unresolved questions
4. Practical applications and implications
5. Emerging research directions

For each paper or concept you reference:
- Author(s) and year
- Core finding or argument (2-3 sentences)
- Why it matters
- Limitations or criticisms

Organize by theme rather than chronologically. End with
3-5 questions that current research hasn't answered.

Competitive Intelligence Gatherer

Gather competitive intelligence on [company/product].

Research and provide:
1. Recent news and announcements (last 90 days)
2. Product updates and feature launches
3. Pricing changes or new plans
4. Leadership changes or hiring patterns
5. Customer sentiment from reviews and social media
6. Partnership and integration announcements

For each finding:
- Source and date
- Strategic implication for us
- Confidence level (High/Medium/Low based on source quality)

Format as a competitive intel brief with an "Action Items"
section at the end.

Data Analysis Prompts

Spreadsheet Analyst

I'm going to share data from a spreadsheet. Analyze it and provide:

[paste data or describe the dataset]

Analysis requirements:
1. Summary statistics for each numeric column
2. Key patterns and trends (what's going up, down, or changing)
3. Outliers and anomalies worth investigating
4. Correlations between variables
5. Comparison across [time periods / categories / segments]

Deliverables:
- Executive summary (5 bullet points)
- Detailed findings organized by insight type
- Recommended Google Sheets formulas to monitor these metrics
- 3 charts I should create (describe type, axes, and what
  they would show)
- Follow-up questions the data raises

Financial Data Interpreter

Analyze this financial data and help me understand what it means:

[paste financial data]

I need:
1. Key financial metrics and what they indicate
2. Trend analysis (improving, declining, stable)
3. Comparison to industry benchmarks (search for current
   benchmarks if needed)
4. Red flags or areas of concern
5. Positive indicators

Present findings for two audiences:
- Technical version: For the CFO with detailed numbers
- Plain language version: For non-financial stakeholders

Include specific calculations showing how you derived
your conclusions.

Survey Results Analyzer

Analyze these survey results:

[paste survey data or describe it]

Provide:
1. Response distribution for each question (percentages)
2. Cross-tabulation between [variable A] and [variable B]
3. Key themes from open-ended responses (group by sentiment)
4. Statistical significance notes (where sample size allows)
5. Comparison to any benchmarks you can find

Format:
- Dashboard-style summary (key numbers at a glance)
- Detailed findings by section
- Recommended actions based on the data
- Suggested follow-up questions for the next survey

Multimodal Prompts

Image Analysis and Description

[Upload image]

Analyze this image in detail:

1. Describe what you see (objects, people, setting, text)
2. Assess the quality and composition
3. Extract any text or data visible
4. Identify the context or purpose
5. Note anything unusual or noteworthy

Then apply this specific analysis:
[Choose one:]
- Marketing: How effective is this as a marketing asset?
  Score visual impact, message clarity, and brand alignment.
- Technical: Identify any technical issues, errors, or
  improvements needed.
- Accessibility: How accessible is this content? What
  alt text would you write?
- Competitive: Compare this to best practices in [industry].

Document Comparison

[Upload two documents or paste their contents]

Compare these two documents:

1. Key differences between them (be specific; cite sections)
2. What was added in the newer version
3. What was removed or changed
4. Implications of the changes
5. Any inconsistencies between the documents

Present as:
- Summary of changes (for executives)
- Detailed changelog (for reviewers)
- Risk assessment (anything concerning about the changes?)

Chart and Graph Interpreter

[Upload chart/graph image]

Interpret this visualization:

1. What type of chart/graph is this?
2. What data does it represent?
3. Key takeaways from the data shown
4. Trends and patterns visible
5. Any misleading aspects of the visualization

Then:
- Restate the main finding in one sentence
- Suggest how this data could be better visualized
- Identify what additional data would strengthen the analysis
- Draft a caption suitable for a report

Writing & Content Prompts

SEO Content Researcher and Writer

I want to write a blog post about [topic].

First, research:
- What questions people are asking about this topic right now
- What the top-ranking articles cover (and what they miss)
- Current statistics and data points I should include

Then create:
1. SEO-optimized title (include primary keyword, under 60 chars)
2. Meta description (under 155 chars, compelling)
3. Detailed outline with H2/H3 headings
4. Key points for each section with supporting data
5. Internal linking suggestions to our other content
6. 5 related keywords to naturally include

Target keyword: [your keyword]
Word count target: [number]
Audience: [description]

Fact-Checked Content Drafter

Write a [content type] about [topic].

Requirements:
- Every factual claim must be verifiable (include sources)
- Use current data; search for the latest statistics
- Distinguish between established facts and emerging trends
- If information conflicts across sources, note both views
- Include specific numbers over vague qualifiers

Format:
- [Specify structure]
- Word count: [number]
- Tone: [specify]
- Audience: [specify]

At the end, include a "Sources" section listing all
references used.

Google Workspace Integration Prompts

Email Draft Assistant

I need to write an email for this situation:

Context: [describe the situation]
Recipient: [their role and relationship to you]
Goal: [what you want to achieve]
Tone: [formal / friendly / diplomatic / direct]

Draft the email with:
- Subject line (under 50 characters)
- Opening that establishes context quickly
- Body that makes the request/point clearly
- Specific next steps or call-to-action
- Appropriate sign-off

Also provide:
- A shorter version (for follow-up if no response)
- Key phrases to avoid (that might trigger wrong tone)
- Suggested send time (based on the urgency and context)

Presentation Outline Builder

Help me create a presentation about [topic].

Details:
- Audience: [who will see this]
- Duration: [time for presentation]
- Goal: [inform / persuade / train / update]
- Key message: [the one thing they should remember]

Provide:
1. Suggested slide count and flow
2. Title slide content
3. For each slide:
   - Headline (one key message per slide)
   - 3-4 bullet points or talking points
   - Suggested visual (chart type, image concept, or diagram)
   - Speaker notes (2-3 sentences)
4. Closing slide with CTA
5. Appendix slide suggestions (backup data)

Design guidance:
- Keep text minimal per slide
- Suggest where to use data visualizations vs. text
- Note which slides are "must-have" vs. "nice-to-have"
  if time is short

Meeting Notes Organizer

Here are my raw meeting notes:

[paste notes]

Organize them into:

1. Meeting Summary (3-sentence overview)
2. Key Decisions Made (numbered list with who decided)
3. Action Items (owner, task, deadline)
4. Open Questions (unresolved, with suggested owner)
5. Follow-Up Topics (for next meeting)

Format as a clean document I could share with attendees.
Flag any action items that seem to lack clarity or
a responsible owner.

Technical & Development Prompts

Codebase Analyzer (Long Context)

I'm going to share my entire codebase (or a large portion).

[paste code files]

Analyze the codebase for:
1. Architecture overview (components, data flow, dependencies)
2. Code quality assessment (patterns, anti-patterns, tech debt)
3. Security concerns (input validation, auth, data exposure)
4. Performance bottlenecks (N+1 queries, unnecessary renders)
5. Test coverage gaps

Provide:
- Architecture diagram description (I'll draw it)
- Top 10 issues ranked by severity
- Quick wins (fixes that are small effort, high impact)
- Refactoring roadmap (ordered by priority)
- Specific code suggestions for the top 3 issues

API Documentation Generator

Generate comprehensive API documentation from this code:

[paste API code or endpoint definitions]

For each endpoint, document:
- HTTP method and URL
- Description (what it does and when to use it)
- Request parameters (path, query, body) with types
- Request example (curl command)
- Response format with example JSON
- Error codes and what triggers them
- Rate limits (if apparent from code)
- Authentication requirements

Also generate:
- Quick start guide (3-step "hello world")
- Common use case examples (3-5 scenarios)
- Changelog section template

Gemini-Specific Tips

Leverage Real-Time Search

Unlike other models, you can ask Gemini to check current information mid-task:

Before writing this market analysis, search for the latest
[industry] market size data, growth rates, and recent M&A
activity. Use this current data in your analysis rather
than training data.

Use Multimodal Inputs

Combine text with images, documents, or screenshots:

[Upload screenshot of competitor's website]

Analyze this competitor's landing page. Compare their
messaging, layout, and value proposition to ours at
[your URL]. Suggest 3 ways we can differentiate.

Combine with Frameworks

These Gemini prompts work even better with prompt engineering frameworks. The RACE framework works well for research tasks, while CO-STAR excels for content creation within Gemini.

For complex multi-step projects, use prompt chaining to break work into sequential Gemini queries.

Explore More

Keyur Patel

Written by Keyur Patel

AI Engineer & Founder

Keyur Patel is the founder of AiPromptsX and an AI engineer with extensive experience in prompt engineering, large language models, and AI application development. After years of working with AI systems like ChatGPT, Claude, and Gemini, he created AiPromptsX to share effective prompt patterns and frameworks with the broader community. His mission is to democratize AI prompt engineering and help developers, content creators, and business professionals harness the full potential of AI tools.

Prompt EngineeringAI DevelopmentLarge Language ModelsSoftware Engineering

Explore Related Frameworks

Try These Related Prompts