Micro-Influencer Discovery Brief
Find and vet micro-influencer candidates before any outreach or brief exists.
What is the Micro-Influencer Discovery Brief?
The Micro-Influencer Discovery Brief is a free AI skill that defines the search and vetting criteria for finding micro-influencers before any outreach, brief, or program exists. You give it your brand, product, target audience, and platform; it returns the specific search terms and content signals to look for while sourcing candidates, an audience-fit and authenticity checklist, red flags that should rule a creator out, and a simple scoring rubric so a growing candidate list stays comparable instead of a gut-feel pile of profiles. It is built for social and influencer marketing managers at the very start of the funnel, before a single creator has been chosen, when the actual work is finding and evaluating candidates, not managing relationships with people already picked. Because it separates discovery from everything that happens after a creator is selected, teams stop skipping straight to outreach on the first plausible profile they find. Checking candidate niches against live food and beverage conversation data shows which creator communities are already engaging with this category.
Who it's for
- Influencer marketing managers building a candidate list from scratch
- Social media managers sourcing creators before a seeding program exists
- Brand managers vetting inbound creator pitches against real criteria
- Founders doing their own creator outreach without an agency
What you get
- Search terms and content signals for sourcing candidates on each platform
- An audience-fit and authenticity vetting checklist
- Red flags that should rule a candidate out
- A simple scoring rubric for comparing candidates
- A candidate tracking template to fill as you find people
How to use it
- 1Paste the prompt into ChatGPT, Claude or Gemini.
- 2Fill in the brackets (brand, product, audience, platform, budget tier).
- 3Answer its clarifying questions about must-haves versus nice-to-haves.
- 4Ask it to score 3-5 real candidate profiles you paste in against the rubric.
See it in action
Example input
Brand: fictional 'Basil & Bloom' fresh meal kits. Platform: Instagram and TikTok. Audience: busy home cooks, 28-45, who care about fresh ingredients but don't have much time. Budget tier: micro-influencers only, 8,000-60,000 followers, gifting plus a small flat fee. We haven't identified any specific candidates yet — we need to build the search and vetting process first.
Example output
Micro-influencer discovery brief — Basil & Bloom, Instagram + TikTok Search terms and content signals Search hashtags and captions around: "weeknight dinner," "meal prep for busy people," "what's for dinner," "fresh ingredients," "quick healthy dinner," and "meal kit review," including competitor meal kit mentions, since creators who've reviewed a competitor honestly are often open to trying a new one. Look for creators whose existing content already shows a kitchen they cook in regularly, not just polished restaurant content, since that's the visual signal of someone who genuinely cooks at home during the week. Where to look beyond hashtag search - The tagged and comments sections of other meal-kit and fresh-food brands' posts — people who engage there are already primed for this category. - Instagram and TikTok's suggested/similar-accounts feature, starting from 2-3 creators you already admire in this space. - Local food bloggers and recipe-content creators in target metro areas, if there's a regional angle to the launch. - Comment sections on "what I eat in a week" or meal-prep content, where genuinely engaged home cooks self-identify. Audience-fit and authenticity checklist - Does their existing content already feature cooking, meal planning, or grocery hauls, or would this be a stretch from their usual content? - Does their stated or visible location fall within your delivery area? A rule that sounds obvious but gets missed under deadline pressure. - Do they cook for one, a couple, or a family, and does that match who Basil & Bloom actually serves? - Check their engagement rate relative to follower count, not follower count alone — a 15,000-follower account with genuine comment conversations is often a better fit than a 50,000-follower account with mostly emoji comments. - Look at 3-4 recent posts for tone: do they read as someone who'd genuinely enjoy a meal kit, or someone who posts any product handed to them? Red flags to rule a candidate out - A feed with a visibly inconsistent follower-to-engagement ratio, a common purchased-followers signal. - Heavy, undisclosed product placement across unrelated categories in recent posts, suggesting promotional fatigue in their audience. - No prior food, cooking, or meal-planning content at all — even an enthusiastic pitch can't manufacture a content history that doesn't exist. - Past public brand conflicts or a pattern of negative comments on sponsored posts specifically, which signals their audience distrusts their paid partnerships. Scoring rubric (rate each candidate 1-3 per category, 12 possible) - Audience fit (location, household type, life stage): 1-3 - Content authenticity (cooks visibly, existing food content): 1-3 - Engagement quality (comments, not just counts): 1-3 - Category fit (has reviewed or shown interest in similar products): 1-3 Candidates scoring 9+ move to outreach first; 6-8 are a second-tier list; below 6, pass unless a specific strength offsets a weak category. Candidate tracking template Columns to track per candidate: name/handle, platform, follower count, engagement rate estimate, score per category above, total score, location, notes, outreach status. Keep this as a living list — discovery should be ongoing, not a one-time sprint before a single campaign. A note on this stage versus what comes next This brief stops at a scored, ranked candidate list. It does not include outreach messaging, gifting logistics, or a paid-partnership brief — those come after specific candidates are chosen and contacted. Want this scoring rubric applied to 3-5 real candidate profiles you've already found?
The prompt
Here's the start of the prompt. Download the free bundle for the full, ready-to-paste version — plus the installable Claude Skill and Custom-GPT instructions.
# Role You are a senior influencer marketing strategist for food & beverage brands who specializes in the discovery stage — finding and vetting creator candidates before any outreach happens. You separate sourcing and vetting from relationship management, which comes later. # Context I'll provide - Brand: [BRAND] - Product: [PRODUCT] - Target audience: [AUDIENCE] - Platform(s): [PLATFORMS] - Budget or partnership tier: [TIER e.g. gifting only, micro-influencer flat fee, follower range] - Any must-haves or dealbreakers (optional): [MUST-HAVES / DEALBREAKERS] # Your task
Frequently asked questions
- What is micro-influencer discovery?
- It's the sourcing and vetting stage that happens before any creator is contacted or briefed: defining what to search for, where to look, and the criteria that separate a genuinely good-fit candidate from a follower count that looks appealing on paper. This skill builds that discovery process — search terms, a vetting checklist, red flags, and a scoring rubric — so a candidate list is comparable and defensible before outreach begins.
- How is this different from the Influencer Seeding & Gifting Program Builder skill?
- The Influencer Seeding & Gifting Program Builder assumes candidate creators are already identified and designs the program around them — gifting logistics, tiers, and the process for running an ongoing seeding relationship. This skill is the step before that: finding and vetting who those candidates should even be, with search terms, an authenticity checklist, and a scoring rubric. It's also earlier than the Influencer & Creator Brief, which briefs someone already selected for a specific paid partnership — this skill produces the ranked list a brief or seeding program would then draw from.
- Which AI models can run this prompt?
- Any capable chat model — ChatGPT, Claude, or Google Gemini. The prompt is model-agnostic, so paste it into a chat, save it as a Custom GPT, or store it as a reusable skill so discovery follows the same consistent criteria every time your team sources new candidates.
- Can it evaluate specific creators I've already found?
- Yes. Once you have the search terms and rubric, paste in the profiles or handles you've found along with what you can see about their content and engagement, and ask it to score them against the rubric. It will not fabricate details it can't see, like exact engagement rates behind a private account, so give it what's actually visible and treat any gap as something to verify manually before a final decision.
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