Best Gemini AI Prompts 2026: 100+ Templates With Examples

Research [topic] using current Google Search information. I need a [word count] structured report: Executive Summary (200 words) → Key Findings with data (300 words) → Sector or Regional Analysis (300 words) → Risks and Challenges (200 words) → Recommendations (200 words). For every stat you include, confirm it's accurate and recent (2025-2026). If you cannot verify a number, say "approximately" and note the source. No unverified claims.

Pull current data from Google Search on the [industry] market in [region/global]. Include: market size with year, top 5 players with approximate market share, 3 major trends from the past 12 months with specific examples, and 2 emerging threats. Verify each data point. Where data is estimated, say so explicitly. Format: executive briefing, under 600 words, bullet-heavy.

Search for the latest news on [topic/company/event] from the past 30 days. Synthesize what has happened, what is currently in play, and what to watch next. Be specific about dates, names, and numbers. Structure: (1) What happened (most recent first), (2) Why it matters, (3) What's still unresolved. Do not include anything you cannot verify from current sources.

Research [Competitor A] and [Competitor B] using current information. For each: current pricing (link or screenshot not needed, just verified figures), features announced in the last 6 months, customer sentiment trends (what's being said in reviews and forums), and any strategic moves (acquisitions, partnerships, pivots). Build a comparison table. Flag anything you cannot verify as "unconfirmed".

What are the current regulatory requirements for [activity/product] in [jurisdiction] as of 2026? Use current Google Search to verify. Include: (1) The specific regulations that apply, with official names, (2) Key compliance deadlines, (3) Penalties for non-compliance with actual figures, (4) Any changes in the past 12 months. Flag anything where regulations vary by sub-jurisdiction or are actively being updated.

Research [company or asset class] for investment consideration. Pull current data on: recent financial performance (revenue, growth rate, margins if public), recent news that affects valuation, analyst sentiment or rating changes in the past 90 days, and 3 specific risks with current evidence. Verify all figures against current sources. Format as a one-page investment brief. Do not fabricate analyst price targets.

Search Google Scholar and current sources for research on [topic] published in 2024-2026. Identify: the 5 most significant studies or papers (name authors, institutions, journals), the consensus finding if one exists, where researchers actively disagree, and one practical implication for [application]. Cite by author name and year. Note where research is limited or methodology is contested.

Fact-check these claims using current Google Search: [list 5-10 claims with sources if available]. For each claim: Verdict (True / Partially True / False / Unverifiable), the evidence you found, the most authoritative source, and any important nuance or context. Be honest when something cannot be verified rather than guessing. Format as a fact-check table.

Using the [project name] folder in my Drive and the email thread with [client/team] in Gmail, draft a status update for the executive team. Keep it under 200 words. Professional tone. Cover: progress since last update, blockers currently in play, and next steps with owners and dates. Pull specific details from both sources — do not invent them.

I have a meeting with [person/team] at [time] about [topic]. Pull from my Calendar for context on any previous meetings with them, check Gmail for recent correspondence, and check Drive for any shared documents. Give me: (1) 3-sentence context on where we left off, (2) 3 things I should bring up, (3) 2 potential friction points to prepare for, (4) One thing I should avoid. Under 300 words.

Summarize the document [filename or link] from my Drive. Produce: (1) A 3-sentence executive summary capturing the main argument or finding, (2) 5 key points as concise bullets, (3) Any decisions, deadlines, or action items mentioned, (4) One open question the document raises but does not answer. Do not editorialize — stay close to what the document actually says.

Read the email thread with [person or subject line] in my Gmail. Extract: (1) What was requested or decided in each email, (2) Any outstanding action items — who owns them and by when, (3) The current status: is this resolved or still open?, (4) What I need to respond to. Present as a structured digest, not a re-narration of each email. Flag if there's something time-sensitive I might have missed.

Analyze the data in [Sheet name] from my Drive. Find: (1) The top 3 insights from the data, (2) Any outliers or anomalies that deserve attention, (3) The trend direction for [specific metric] over the visible time period, (4) One question the data raises that I should investigate further. Present findings as a brief + a table showing the key numbers. Do not present correlations as causation.

Look at my Google Calendar for the next 10 business days. Identify: (1) My three heaviest meeting days (total hours in meetings), (2) Any scheduling conflicts or back-to-back blocks over 3 hours, (3) Days with open time I could use for deep work, (4) Any meeting that has no agenda or prep document attached. Give me a priority recommendation for where to protect time this sprint.

Write a 1,500-word blog post about [topic]. Ground every claim in current information — where you mention a statistic or trend, verify it's accurate and from 2025-2026. If you can't verify a specific number, use "approximately" and name the source type. Audience: [describe]. Tone: authoritative but conversational. Structure: hook opening (not a question, not "In today's world"), 4 sections with headers, concrete examples in each, practical takeaway at the end. Banned phrases: game-changer, paradigm shift, leverage, cutting-edge.

Write a 2,500-word research-backed article on [topic]. Use Google Search to ground every major claim. Structure: (1) Scene-setting with a specific recent example, (2) Historical context (200 words), (3) Current state with verified data (500 words), (4) Key debates or disagreements in the field (400 words), (5) Future outlook with named predictions (300 words), (6) Practical implications for [audience] (400 words). Include a 6-question FAQ at the end. Every section must open with its direct answer.

Write a press release announcing [news]. AP format. Include: headline (under 65 chars), dateline, lead paragraph (who, what, when, where, why in 60 words), body (3 paragraphs with quotes from [role] and supporting detail), boilerplate (150 words about the company). Quote must sound like a human said it, not like it was written by a committee. End with contact information placeholder. No superlatives without evidence.

Write technical documentation for [feature/system/API]. Audience: developers who are new to this system. Include: Overview (what it does, when to use it), Prerequisites, Step-by-step setup instructions, Code example (working, not pseudocode), Common errors with solutions, and a Quick Reference section. Use clear imperative language. Every step should be independently executable — no "do the standard setup" hand-waving. [Paste relevant technical context]

Write a project proposal for [project] to be presented to [stakeholder type]. Include: Executive Summary (150 words, lead with the business outcome), Problem Statement (specific and data-backed), Proposed Solution (clear, not vague), Timeline with milestones, Budget overview with line items, Success metrics (measurable, not aspirational), and Risk section (3 risks with mitigation plans). Total: 800-1,000 words. Formal but not bureaucratic tone.

Write a 1,200-word comparison article: [Option A] vs [Option B] for [specific use case]. Pull current pricing, features, and user sentiment from Google Search — verify everything before including it. Structure: Quick Verdict at top, head-to-head comparison table (8 rows), detailed sections on the 3 most important differentiators, who should choose each option, and FAQ with 5 questions. Be direct in the recommendation — don't hedge with "it depends" without immediately specifying what it depends on.

Write a 10-minute YouTube script on [topic] for [channel type/audience]. Structure: Hook (first 30 seconds, pattern interrupt or surprising claim), Context setup (90 seconds), 3 main teaching points (5 minutes total — 100 seconds each), Recap (60 seconds), CTA (30 seconds). Include: [B-roll suggestion] cues, natural transitions between points, and one moment designed to prompt a comment. Write as spoken word — contractions, short sentences, occasional pauses marked as [PAUSE].

Write a 5-minute keynote speech for [executive role] to deliver at [event type]. Topic: [topic]. Tone: confident, specific, human — not TED-talk cliché. Include: opening anecdote (60 seconds, personal, specific), 3 main points with one data point each, one moment of honest vulnerability or admission, and a closing call to action. Write in first person. No corporate filler. Format for teleprompter reading — short sentences, clear paragraph breaks.

Review this codebase for architectural issues. [Paste files — Gemini handles 1M+ tokens]. Identify: (1) Top 3 architectural patterns in use, (2) The highest-concentration of technical debt with specific file/function references, (3) The module most risky to modify without introducing regressions, (4) One refactor that would have the highest ROI in 2026. Be specific about file names and function names — no vague architectural commentary.

Find all places in this codebase where [describe the bug/anti-pattern]. [Paste codebase or relevant modules]. For each occurrence: file name, line number, why it's a problem, and the fixed version of that specific block. If there's a root cause pattern across occurrences, name it. Output a remediation plan ordered by severity.

Generate comprehensive documentation for this codebase. [Paste code files]. Produce: (1) Architecture overview — high-level description of the system design, (2) Module documentation — for each file: purpose, key exports, dependencies, usage example, (3) Data flow — how data moves through the system, (4) API documentation — for each endpoint: signature, parameters, return type, error cases, (5) Getting started guide for a developer joining tomorrow, (6) Glossary of domain-specific terms. Write for a developer with no prior context on this system.

I need to refactor [describe what needs changing] across this codebase. [Paste relevant files]. Create a step-by-step refactor plan that: (1) Lists every file that needs to change, (2) Specifies the exact change needed in each, (3) Orders changes to avoid breaking dependencies, (4) Identifies the most fragile step where something could go wrong. Write the actual refactored code for the 3 highest-impact changes.

Explain this code at three levels: (1) ELI5 — what it does in plain English for a non-technical stakeholder (100 words), (2) Mid-level — for a junior developer who knows the language but not this system (200 words), (3) Expert — for a senior engineer reviewing a PR, covering edge cases, performance characteristics, and any non-obvious design choices (300 words). [Paste code]

Write a migration plan for moving from [Technology A] to [Technology B] in this codebase. [Paste relevant files]. Include: (1) Risk assessment — what breaks and how, (2) Strangler fig or big-bang recommendation with rationale, (3) Week-by-week migration steps, (4) Rollback plan for each major step, (5) Testing strategy to verify equivalence, (6) Estimated effort in developer-days. Be specific about which files change in which order.

A [product name and description] on a [surface material] with a [background type]. Soft diffused studio lighting from the upper left. Color palette: [specify 2-3 colors]. Shot from a 45-degree angle, slight depth-of-field blur on the background. Commercial photography style. No props that aren't the product. Hyper-detailed surface texture on the product.

[Upload reference photo]. Enhance this portrait for a professional LinkedIn profile. Keep the person exactly as they appear — do not alter facial features or expression. Replace the background with a soft, bokeh-blurred modern office environment in neutral tones (grey, white, warm beige). Improve lighting to be even and flattering. Maintain natural skin tones. Output: professional headshot quality.

Design a marketing banner for [product/event]. Include readable text: [headline text]. Background: [describe scene or abstract style]. Color scheme: [brand colors or palette]. Layout: text on the left third, visual element on the right two-thirds. Style: modern, clean, [brand adjective]. No stock-photo clichés (no handshakes, no lightbulbs, no generic blue gradients). Output at landscape ratio.

[Upload reference photo]. Apply a 1970s 35mm film developed-in-a-darkroom aesthetic. Add: subtle film grain (not excessive), slight color fading at the corners, a tiny light leak in the upper right corner, slightly lifted blacks (milky, not deep black). Keep the main subject sharp and recognizable. The goal is a found-memory feel, not a heavy Instagram filter. Preserve original composition exactly.

Create a concept art illustration of [subject] in [specific setting]. Style: [name a specific art movement or reference — e.g., Dutch Golden Age oil painting, Moebius sci-fi illustration, Studio Ghibli background art]. Lighting: [dramatic chiaroscuro / soft diffused / neon-lit / golden hour]. Color palette: [3 dominant colors]. Mood: [1-2 adjectives]. Render quality: high detail, professional concept art. No watermarks or text in the image.

Create a [platform: Instagram square / LinkedIn banner / Twitter header] visual for [brand/topic]. Include this text (rendered cleanly and readably): "[text]". Visual style: [minimalist / bold / editorial / playful]. Background: [describe]. Typography: sans-serif, prominent. Colors: [specify]. The design should feel like it was made by a professional creative studio, not AI. Output dimensions: [specify].

Build a go-to-market strategy for [product] in [market]. Use current Google Search to verify: market size, top competitors and their current positioning, and acquisition channels that are working in this space right now (with examples). Then: define ICP with specifics, recommend 3 acquisition channels ranked by expected ROI for a [stage] company, and build a 90-day launch plan with weekly milestones. Verify every market claim before including it.

Run a PESTLE analysis for [company] operating in [industry/geography] in 2026. For each factor (Political, Economic, Social, Technological, Legal, Environmental): pull current verified information from Google Search, rate the threat level (High/Medium/Low), and give one specific strategic implication. Flag anything where the situation is actively changing. No generic PESTLE boilerplate — every point must be specific to this company in this context.

Build a customer journey map for [ICP persona] purchasing [product/service]. Stages: Unaware, Aware, Considering, Deciding, Onboarding, Loyal. For each stage: (1) What the customer is thinking and feeling, (2) Their primary action or touchpoint, (3) Where they go for information (specific channels), (4) Their biggest friction point, (5) What we should do to move them to the next stage. Format as a table. Be specific to this persona — not generic B2B/B2C platitudes.

Review this revenue model and stress-test it. [Paste model or describe it]. Identify: (1) The top 3 assumptions that, if wrong by 20%, would break the model, (2) Any concentration risks (single customer, channel, or geography), (3) What happens to unit economics at 5x scale, (4) A realistic downside scenario with specific triggers. Be direct about weaknesses — the goal is to find problems before investors do.

Build a hiring strategy for [company type/stage] expanding its [team/function] over the next 6 months. Use current market data: pull what current salaries look like for [roles] in [market], what candidates in this field care about beyond salary in 2026, and which companies are competing for the same talent. Then: define the hiring sequence (what to hire when and why), give a sourcing strategy per role, and list the 3 questions that actually distinguish the top 10% of candidates.

Build a detailed QBR slide deck outline for [company] presenting [quarter] results to [audience: board / investors / customers]. For each slide: title, key message (one sentence), what data/visual to include, and what question it answers. Cover: performance vs. goals, what drove the outcomes (good and bad), what we learned, and the plan for next quarter. 12-15 slides maximum. Every slide must have a clear point — no "data dump" slides with no conclusion.

Template: You are a [specific expert with context]. Using current Google Search data, [task]. Verify every claim — if you cannot confirm something, say so explicitly. Output: [exact format and length]. Constraints: [what to avoid]. Audience: [who reads this].