ChatGPT Prompts for Influencer Marketing
Thirty structured prompts to build creator strategy, find and vet talent, run outreach and negotiation, write briefs and contracts, ideate campaigns, and measure ROI.
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 15 prompts are free instantly โ no signup needed. Hand-curated and tested by the AI Academy team.
Strategy & Goals
5 promptsInfluencer Marketing Strategy Brief
1/30<context> Brand: [BRAND] Niche: [NICHE] Quarterly budget: [BUDGET] Business goal: [GOAL โ e.g. awareness, signups, sales] Primary audience: [AUDIENCE] </context> <task> 1. Define 3 measurable objectives tied to the business goal, each with a target metric and timeframe. 2. Recommend the creator-tier mix (nano, micro, mid, macro) with a rationale and rough budget split that fits [BUDGET]. 3. Pick the 2 best platforms for [AUDIENCE] and explain why. 4. Map objectives to funnel stages (awareness, consideration, conversion). 5. List 5 leading and lagging KPIs to track. 6. Flag the top 3 risks and a mitigation for each. Return as a one-page strategy brief with headers. </task>
A board-ready influencer strategy brief with objectives, tier mix, platform picks and KPIs.
Pro tip: Paste your last campaign's results into the context block so ChatGPT calibrates targets to your real baseline instead of generic benchmarks.
Tier & Budget Allocator
2/30<context> Brand: [BRAND] Niche: [NICHE] Total budget: [BUDGET] Goal: [GOAL] Campaign length: [WEEKS] weeks </context> <task> 1. Propose three budget-allocation scenarios across creator tiers: reach-led, conversion-led, and balanced. 2. For each scenario give the number of creators per tier, estimated total reach, and expected outcome. 3. State the assumptions behind each estimate (avg engagement rate, CPM, fee per tier). 4. Recommend one scenario for [GOAL] and justify it in 3 sentences. 5. Add a 10 percent contingency line and explain when to deploy it. Return as a comparison table plus a recommendation. </task>
Three modeled budget scenarios with creator counts, reach estimates and a clear recommendation.
Pro tip: Ask ChatGPT to expose every assumption as a variable, then tell it to recompute when you swap in real CPM and fee data from past deals.
Audience-Creator Fit Map
3/30<context> Brand: [BRAND] Niche: [NICHE] Target audience: [AUDIENCE] Product: [PRODUCT] </context> <task> 1. Build a profile of [AUDIENCE]: demographics, interests, platforms, content they trust. 2. Identify 5 creator archetypes whose followers overlap with this audience. 3. For each archetype describe content style, typical follower count, and why the fit works. 4. List 3 audience signals to verify on a creator's profile before partnering. 5. Note 2 archetypes to avoid and why. Return as an archetype map with a fit rationale per row. </task>
A map of creator archetypes scored against your real target audience profile.
Pro tip: Follow up by asking ChatGPT to name example creators per archetype, then verify each manually since follower data can be stale or fabricated.
Always-On vs Campaign Cadence Plan
4/30<context> Brand: [BRAND] Niche: [NICHE] Budget: [BUDGET] Key moments: [LAUNCHES/SEASONS] </context> <task> 1. Recommend a split between always-on creator partnerships and burst campaigns for [BRAND]. 2. Build a 12-month cadence calendar marking each burst against [LAUNCHES/SEASONS]. 3. For each quarter, state the primary objective and the creator tier focus. 4. Explain how always-on partners feed content into burst moments. 5. List the operational cost of running always-on (management, content review, reporting). Return as a 12-month calendar plus notes. </task>
A 12-month cadence plan balancing always-on partnerships against campaign bursts.
Pro tip: Tell ChatGPT to output the calendar as a markdown table so you can paste it straight into Notion or a spreadsheet.
Competitor Creator Teardown
5/30<context> Brand: [BRAND] Niche: [NICHE] Competitors: [COMPETITOR 1], [COMPETITOR 2] </context> <task> 1. Infer the likely influencer strategy each competitor is running based on the creator types they typically use. 2. Identify content angles competitors over-use and gaps they leave open. 3. Recommend 3 differentiated positioning angles [BRAND] can own with creators. 4. List 5 creator types competitors ignore that [BRAND] could partner with first. 5. Flag any reputational pitfalls visible in competitor partnerships. Return as a teardown with a differentiation playbook. </task>
A competitive teardown that surfaces unclaimed creator angles and white-space.
Pro tip: Paste real screenshots or transcripts of competitor sponsored posts so ChatGPT analyzes actual content instead of guessing.
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Creator Discovery & Vetting
5 promptsCreator Search Criteria Builder
6/30<context> Brand: [BRAND] Niche: [NICHE] Campaign goal: [GOAL] Platform: [PLATFORM] </context> <task> 1. Define hard filters (must-have): niche relevance, minimum engagement rate, audience geography, content safety. 2. Define soft filters (nice-to-have): aesthetic match, posting cadence, prior brand work. 3. Translate these into specific search queries and hashtags to use on [PLATFORM]. 4. Set a minimum and maximum follower range for [GOAL] and justify it. 5. Provide a 10-point shortlist scorecard with weights. Return the criteria plus a ready-to-use scorecard. </task>
A weighted search-criteria scorecard plus platform-specific discovery queries.
Pro tip: Reuse the scorecard for every candidate so your shortlist stays comparable; ask ChatGPT to keep the weights fixed across runs.
Engagement Authenticity Checker
7/30<context> Creator: [CREATOR HANDLE] Reported followers: [FOLLOWERS] Reported engagement rate: [ER] Niche: [NICHE] </context> <task> 1. List the red flags of fake engagement: sudden follower spikes, generic comments, comment-to-like ratio anomalies, mismatched audience geography. 2. Give the formula to calculate a realistic engagement rate from likes plus comments over followers. 3. State the healthy ER range for [NICHE] at this follower size. 4. Provide 6 questions to ask the creator to confirm audience quality. 5. Recommend free and paid ways to verify the numbers independently. Return a vetting checklist with pass/fail thresholds. </task>
A fraud-detection checklist with ER benchmarks and verification steps.
Pro tip: ChatGPT cannot see live profile data, so feed it the actual likes, comments and follower counts and have it run the math for you.
Brand-Safety & Reputation Audit
8/30<context> Creator: [CREATOR HANDLE] Brand: [BRAND] Brand values: [VALUES] </context> <task> 1. List the categories to audit: past controversies, off-brand language, competing partnerships, political or sensitive content. 2. Provide a search and review process to surface a creator's history across platforms. 3. Map findings against [VALUES] and flag any conflict. 4. Give a 3-tier risk rating (low, medium, high) with criteria for each. 5. Recommend contract clauses that protect [BRAND] from reputational fallout. Return an audit framework plus a risk-rating rubric. </task>
A brand-safety audit framework with a risk rating and protective clauses.
Pro tip: Ask ChatGPT to turn the audit categories into a reusable Google Forms or spreadsheet template so every creator gets vetted the same way.
Shortlist Comparison Matrix
9/30<context> Brand: [BRAND] Niche: [NICHE] Budget per creator: [BUDGET] Candidates: [CREATOR 1], [CREATOR 2], [CREATOR 3] </context> <task> 1. Build a comparison matrix scoring each candidate on relevance, engagement, audience fit, content quality, and price-to-reach. 2. Use a 1-5 scale per criterion with defined weights. 3. Compute a weighted total and rank the candidates. 4. Note one standout strength and one risk per creator. 5. Recommend which to contact first and which to hold as backups. Return the matrix and a ranked recommendation. </task>
A weighted comparison matrix that ranks shortlisted creators objectively.
Pro tip: Drop the raw stats for each candidate into the prompt; ChatGPT scores far more consistently when it works from numbers rather than vibes.
Niche Micro-Creator Finder Strategy
10/30<context> Brand: [BRAND] Niche: [NICHE] Product: [PRODUCT] Budget: [BUDGET] </context> <task> 1. Identify 6 sub-communities within [NICHE] where micro-creators have high trust. 2. For each, list the hashtags, keywords, and adjacent topics to search. 3. Describe the ideal micro-creator profile for [PRODUCT] in each sub-community. 4. Suggest a discovery workflow: where to look, what to capture, how to log candidates. 5. Estimate how many creators [BUDGET] could activate at micro tier. Return a discovery playbook with searchable terms. </task>
A micro-creator discovery playbook with sub-communities and search terms.
Pro tip: Ask ChatGPT to generate Boolean and hashtag search strings you can paste directly into platform search bars to speed up sourcing.
Outreach & Negotiation
5 promptsCold Outreach DM Sequence
11/30<context> Brand: [BRAND] Niche: [NICHE] Creator: [CREATOR HANDLE] Why them: [SPECIFIC REASON] Campaign: [CAMPAIGN] </context> <task> 1. Write an opening DM under 60 words that references [SPECIFIC REASON] and feels personal, not templated. 2. Write a follow-up email expanding on the offer with deliverables and a clear ask. 3. Write a polite second follow-up for non-responders, sent 5 days later. 4. Keep tone warm, confident, and concise; no buzzwords. 5. Add a one-line subject line for the email. Return the three messages clearly labeled. </task>
A three-touch outreach sequence personalized to one creator with subject lines.
Pro tip: Give ChatGPT one real detail about the creator's recent content so the opener references something genuine instead of sounding mass-sent.
Rate Negotiation Playbook
12/30<context> Brand: [BRAND] Creator: [CREATOR HANDLE] Quoted rate: [QUOTE] Our budget: [BUDGET] Deliverables: [DELIVERABLES] </context> <task> 1. Assess whether [QUOTE] is fair given the deliverables and typical rates for the tier. 2. Provide 4 negotiation levers beyond price: usage rights, exclusivity, deliverable count, timeline, bundled posts. 3. Draft a counter-offer message that anchors respectfully and trades value, not just discount. 4. Give two fallback positions if the counter is rejected. 5. State the walk-away point relative to [BUDGET]. Return the assessment, levers, and ready-to-send counter. </task>
A negotiation playbook with value levers, a counter-offer and a walk-away line.
Pro tip: Tell ChatGPT to keep the counter collaborative in tone; aggressive lowballing burns creators who talk to each other and tank your reputation.
Value-Exchange Proposal
13/30<context> Brand: [BRAND] Product: [PRODUCT] Creator: [CREATOR HANDLE] Budget: [BUDGET] Goal: [GOAL] </context> <task> 1. Design a partnership offer combining cash, product, affiliate commission, and long-term upside. 2. Tailor the mix to what a creator at this tier likely values. 3. Explain the win for the creator in their own terms (audience value, content, income). 4. Write the proposal as a short, scannable message. 5. Include one creative perk that costs little but signals respect. Return the structured offer plus the outreach copy. </task>
A blended value-exchange offer framed around what the creator actually wants.
Pro tip: Ask ChatGPT to draft both a cash-heavy and a product-plus-affiliate version so you can pick based on the creator's response to budget.
Objection-Handling Script
14/30<context> Brand: [BRAND] Creator: [CREATOR HANDLE] Common objections: rate too low, brand fit unclear, too busy, exclusivity concerns </context> <task> 1. For each objection write a respectful, specific response that moves the conversation forward. 2. Keep every response under 70 words and free of pushy sales language. 3. Add a reframe that turns each objection into a reason to collaborate. 4. Provide one graceful exit line for when the deal genuinely will not work. 5. Flag which objections signal a poor long-term fit. Return an objection-response script. </task>
A ready objection-handling script covering the four most common creator pushbacks.
Pro tip: Paste the creator's actual reply and ask ChatGPT to adapt the relevant script line to their exact wording for a natural response.
Outreach Personalization at Scale
15/30<context> Brand: [BRAND] Campaign: [CAMPAIGN] Creator list fields: name, niche, recent post topic, follower size </context> <task> 1. Write a master outreach template with clearly marked personalization tokens. 2. Define rules for filling each token so messages stay specific, not generic. 3. Provide 5 worked examples using different sample creator data. 4. Explain how to keep send volume from looking automated. 5. Add a quality checklist before any message goes out. Return the template, rules, and examples. </task>
A scalable outreach template with personalization rules and worked examples.
Pro tip: Feed ChatGPT a CSV row per creator and ask it to output one finished message per row so you can batch-personalize without losing the human touch.
Briefs & Contracts
5 promptsCreator Campaign Brief
16/30<context> Brand: [BRAND] Product: [PRODUCT] Campaign goal: [GOAL] Creator: [CREATOR HANDLE] Budget: [BUDGET] Key message: [MESSAGE] </context> <task> 1. Write a creator brief with: campaign overview, objective, target audience, and key message. 2. Specify deliverables (format, count, platform), posting dates, and required tags or links. 3. List 4 creative do's and 4 don'ts that protect the brand without killing authenticity. 4. Include mandatory disclosure and FTC compliance language. 5. Add an approval and revision process with deadlines. Return a complete, send-ready brief. </task>
A complete creator brief covering message, deliverables, guardrails and approvals.
Pro tip: Ask ChatGPT to keep the do's and don'ts short; over-prescriptive briefs make sponsored content feel scripted and tank engagement.
Talking Points & Messaging Guide
17/30<context> Brand: [BRAND] Product: [PRODUCT] Key benefits: [BENEFITS] Tone: [TONE] Audience: [AUDIENCE] </context> <task> 1. Distill [PRODUCT] into 3 core talking points a creator can deliver in their own voice. 2. Provide approved phrasings and 3 phrases to avoid. 3. Write one example hook and one example call-to-action that fit [TONE]. 4. List the proof points or stats creators may cite. 5. Note any legal or claim restrictions. Return a one-page messaging guide. </task>
A messaging guide with talking points, approved phrasing and claim limits.
Pro tip: Tell ChatGPT to write talking points as bullets the creator can paraphrase, not a script to read verbatim; the second reads as an ad.
Influencer Contract Skeleton
18/30<context> Brand: [BRAND] Creator: [CREATOR HANDLE] Deliverables: [DELIVERABLES] Fee: [FEE] Usage term: [TERM] </context> <task> 1. Draft a plain-language contract outline covering scope, deliverables, timeline, and fee schedule. 2. Include clauses for content usage rights, exclusivity, FTC disclosure, approval rights, and kill fees. 3. Add a performance and reporting expectations section. 4. Include termination, confidentiality, and dispute terms. 5. Flag every clause that a lawyer must review before signing. Return the contract skeleton with placeholders. </task>
A plain-language contract skeleton with the clauses creator deals need.
Pro tip: This is a starting draft only; tell ChatGPT to flag legal-review items, then have a qualified attorney finalize before anyone signs.
Usage Rights & Whitelisting Terms
19/30<context> Brand: [BRAND] Creator: [CREATOR HANDLE] Intended uses: [USES โ e.g. paid ads, website, email] Duration: [DURATION] </context> <task> 1. Explain the difference between organic posting, content licensing, and paid whitelisting in simple terms. 2. Draft usage-rights language covering [USES] for [DURATION] with renewal options. 3. Recommend fair fee adjustments when usage extends beyond organic posting. 4. List the geographies and channels the rights should specify. 5. Note common usage-rights mistakes that cause disputes. Return the rights terms plus a fee-adjustment guide. </task>
Clear usage-rights and whitelisting terms with a fee guide for extended use.
Pro tip: Always have ChatGPT separate organic, licensing, and paid-ad usage explicitly; bundling them vaguely is the most common source of creator disputes.
Brief Review & Risk Check
20/30<context> Brand: [BRAND] Draft brief: [PASTE BRIEF] </context> <task> 1. Review the pasted brief for clarity, completeness, and missing deliverable details. 2. Flag any compliance gaps: missing FTC disclosure, unclear usage rights, vague timelines. 3. Identify guardrails that are too restrictive and likely to harm authenticity. 4. Suggest specific edits to tighten ambiguous sections. 5. Score the brief's readiness from 1-10 with reasons. Return a redline-style review with edits. </task>
A redline review of an existing brief flagging compliance and clarity gaps.
Pro tip: Paste your real brief in full so ChatGPT critiques the actual wording; partial pastes lead it to invent issues that are not there.
Campaign Concepts
5 promptsCampaign Concept Generator
21/30<context> Brand: [BRAND] Product: [PRODUCT] Niche: [NICHE] Goal: [GOAL] Budget: [BUDGET] </context> <task> 1. Generate 5 distinct campaign concepts, each with a name, core idea, and creator role. 2. For each concept specify the platform, content formats, and why it fits [GOAL]. 3. Note the production effort (low, medium, high) and rough budget fit against [BUDGET]. 4. Add one viral hook and one risk per concept. 5. Recommend the strongest concept and explain the pick. Return 5 concepts plus a recommendation. </task>
Five distinct campaign concepts with hooks, formats and a recommended pick.
Pro tip: Ask ChatGPT to make the concepts deliberately varied (challenge, tutorial, story, UGC, collab) so you compare directions rather than five versions of one idea.
Content Series & Format Plan
22/30<context> Brand: [BRAND] Chosen concept: [CONCEPT] Platform: [PLATFORM] Number of creators: [N] </context> <task> 1. Break [CONCEPT] into a content series with a repeatable episode structure. 2. Assign formats per platform: short video, carousel, livestream, story, etc. 3. Map a posting sequence across [N] creators to build momentum. 4. Define a consistent visual or verbal motif that ties the series together. 5. Suggest how to repurpose top posts into brand-owned channels and ads. Return a series plan with a posting sequence. </task>
A repeatable content-series plan with formats and a multi-creator posting sequence.
Pro tip: Have ChatGPT design the series so each post stands alone but rewards following all of them; that lifts both reach and completion.
UGC & Hook Idea Bank
23/30<context> Brand: [BRAND] Product: [PRODUCT] Audience: [AUDIENCE] Platform: [PLATFORM] </context> <task> 1. Generate 15 scroll-stopping hooks tailored to [AUDIENCE] on [PLATFORM]. 2. Group hooks by angle: problem-solution, curiosity, transformation, social proof, contrarian. 3. For 5 hooks, sketch the opening 3 seconds of the video. 4. Note which hooks suit which creator personalities. 5. Add 3 trending formats worth testing this quarter. Return a hook bank grouped by angle. </task>
A bank of 15 platform-native hooks grouped by angle with opening sketches.
Pro tip: Ask ChatGPT for hooks that match how creators actually talk; polished ad copy as a hook is the fastest way to get scrolled past.
Seasonal & Moment Campaign Ideas
24/30<context> Brand: [BRAND] Niche: [NICHE] Upcoming moments: [HOLIDAYS/EVENTS] Budget: [BUDGET] </context> <task> 1. Map 6 upcoming cultural or seasonal moments relevant to [NICHE]. 2. For each, propose a creator campaign angle that feels timely, not forced. 3. State the lead time needed and the creator tier that fits [BUDGET]. 4. Identify one moment to own as a signature annual campaign. 5. Flag moments to avoid for brand-safety reasons. Return a moment calendar with campaign angles. </task>
A seasonal moment calendar with timely creator angles and lead times.
Pro tip: Tell ChatGPT your real product calendar so seasonal ideas line up with launches instead of generic holidays you have no reason to ride.
Multi-Creator Activation Framework
25/30<context> Brand: [BRAND] Campaign: [CAMPAIGN] Budget: [BUDGET] Creator mix: [TIERS] </context> <task> 1. Design how nano, micro, and macro creators play different roles in one campaign. 2. Sequence the activation: who posts first to seed, who amplifies, who converts. 3. Define a shared hashtag or theme that unifies all creators. 4. Explain how to avoid the campaign looking like uncoordinated one-offs. 5. Map deliverables and timing into a single rollout schedule. Return an activation framework with a rollout timeline. </task>
A framework coordinating creator tiers into one sequenced campaign rollout.
Pro tip: Ask ChatGPT to assign each tier a job (seed, amplify, convert) so your budget buys a wave instead of scattered isolated posts.
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Performance & ROI
5 promptsCampaign Measurement Plan
26/30<context> Brand: [BRAND] Campaign: [CAMPAIGN] Goal: [GOAL] Budget: [BUDGET] </context> <task> 1. Define the primary success metric for [GOAL] and 4 supporting metrics. 2. Specify how to track each: UTM links, promo codes, affiliate links, platform insights, surveys. 3. Set realistic targets for each metric given [BUDGET]. 4. Define the attribution window and how to handle view-through impact. 5. Build a simple reporting template to fill weekly. Return a measurement plan plus a reporting template. </task>
A full measurement plan with tracking methods, targets and a reporting template.
Pro tip: Have ChatGPT generate unique promo codes and UTM strings per creator so you can attribute results cleanly instead of guessing.
ROI & ROAS Calculator
27/30<context> Brand: [BRAND] Campaign spend: [SPEND] Revenue attributed: [REVENUE] Other outcomes: [LEADS/SIGNUPS/REACH] </context> <task> 1. Calculate ROAS and ROI from [SPEND] and [REVENUE], showing the formulas. 2. Compute cost per acquisition, cost per engagement, and cost per thousand reach. 3. Convert soft outcomes (reach, engagement) into estimated value with stated assumptions. 4. Benchmark the result against a typical range and judge if it is strong, average, or weak. 5. Recommend what to scale, fix, or cut next time. Return the calculations and a verdict. </task>
A worked ROI and ROAS calculation with cost metrics and a scale-or-cut verdict.
Pro tip: Paste the raw spend and revenue numbers; ChatGPT does the arithmetic reliably when given exact figures and asked to show each formula.
Per-Creator Performance Scorecard
28/30<context> Brand: [BRAND] Campaign: [CAMPAIGN] Creators and their results: [PASTE DATA] </context> <task> 1. Build a scorecard ranking each creator on reach, engagement rate, conversions, and cost efficiency. 2. Normalize metrics so creators of different sizes compare fairly. 3. Identify the top 3 performers and what made them work. 4. Flag underperformers and the likely reason. 5. Recommend who to re-book, renegotiate, or drop. Return the ranked scorecard with re-booking advice. </task>
A normalized per-creator scorecard that ranks performers and guides re-booking.
Pro tip: Paste your real per-creator numbers in a table; ChatGPT ranks far more accurately from data than from creator names alone.
Post-Campaign Report Builder
29/30<context> Brand: [BRAND] Campaign: [CAMPAIGN] Goal: [GOAL] Results summary: [PASTE RESULTS] </context> <task> 1. Write an executive summary stating whether [GOAL] was met, in 4 sentences. 2. Present results against targets in a clear metrics table. 3. Pull out 3 wins and 3 lessons with evidence. 4. Include 2 standout content examples and why they worked. 5. End with 4 specific recommendations for the next campaign. Return a stakeholder-ready report outline. </task>
A stakeholder-ready post-campaign report with results, lessons and next steps.
Pro tip: Ask ChatGPT to write the executive summary last and lead with the verdict; busy stakeholders read the first line and skim the rest.
Optimization & Test Roadmap
30/30<context> Brand: [BRAND] Past campaign learnings: [LEARNINGS] Next budget: [BUDGET] Goal: [GOAL] </context> <task> 1. Turn [LEARNINGS] into 5 testable hypotheses for the next campaign. 2. For each, define the variable to test, the metric, and a success threshold. 3. Prioritize the tests by expected impact and effort. 4. Recommend how to split [BUDGET] between proven tactics and experiments. 5. Build a simple test log to track results over time. Return a prioritized test roadmap. </task>
A prioritized testing roadmap that turns past learnings into structured experiments.
Pro tip: Tell ChatGPT to keep each test to one variable so results stay attributable; bundled changes make it impossible to know what worked.
Frequently Asked Questions
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