{"slug":"use-ai-to-find-influencers-on-social-media","name":"Voice Fit Finder","category":"Marketing","customer":"Marketing leads at ecommerce brands and consumer startups","problem":"You spend hours scrolling feeds and pasting links into spreadsheets, only to pay for reach that never converts.","value":"For marketing leads at ecommerce brands and consumer startups, turn product briefs, customer profiles and campaign tone into a ranked shortlist of micro voices with plain English fit reasons. Address the recurring problem: agencies push macro names with inflated follower counts and mismatched audiences, so you pay for reach you never get.","format":"Transparent opportunity matching and shortlist platform","screens":"Key screens: Brief builder, voice discovery, fit scores, shortlist review. Use a dashboard with a brief form on the left, a results grid in the middle showing ranked voices with fit scores, and a detail panel on the right for the plain English reason. Filter by platform, audience overlap and tone. Save shortlists and export as a shareable memo. In this product, the first view is brief builder, followed by voice discovery, fit scores and shortlist review.","functionality":"1. Describe product, customer and campaign feeling in a structured brief. 2. Crawl public social profiles across platforms. 3. Score each voice on audience overlap, comment intent and style alignment. 4. Rank voices with a one paragraph plain English fit reason. 5. Filter and sort by platform, score or audience size. 6. Export a shareable memo for team or agency.","workflow":"Create a brief, set platform scope, run the scan, review ranked voices, read fit reasons, filter to a shortlist, and export the memo. Start with product brief, customer profile and campaign tone and finish with a ranked shortlist of under 30 micro voices with plain English fit reasons.","ai":"Use language models to read months of timeline content, scoring tone, credibility and purchase signals in comments. Use vision models to assess visual style and brand fit from post images. A person checks the fit reasons and shortlist before anything is sent to a client or used in a campaign.","inputs":"Product brief, customer profile, campaign tone, platform scope","deliverables":"Ranked shortlist of under 30 micro voices with plain English fit reasons","admin":"Brief ownership, scan history, saved shortlists, export logs, user roles, approval states for final shortlists, and an audit trail of scoring changes.","mvp":"One platform, one buyer type (ecommerce marketing leads), first two modules are brief builder and voice discovery with manual review of fit reasons.","expansion":"Automate fit reason drafting, add cross-platform deduplication, and introduce a retainer tier with scheduled rescans for monthly campaigns.","usp":"Creators chosen for how their content and comments actually sound, not for bios or follower counts.","defensibility":"The scoring models improve with every brief and outcome, and the crawl history builds a proprietary map of audience quality that competitors cannot easily replicate.","alternatives":"Manual scrolling, agency lists, influencer platforms with follower counts. This differs by using AI to read real content and intent signals, not vanity metrics.","revenue":"Test pricing at $1,500 per brief for a complete shortlist, with a $3,000 monthly retainer for brands running ongoing campaigns.","costs":"Cloud compute for crawling and inference, model API costs, and a small data compliance review per platform.","integrations":"Public social APIs (Instagram, TikTok, X), CSV export, and later CRM and campaign management tools.","dependencies":"Access to public social data, language and vision model APIs, and a compliance layer for platform rules.","pilot":"Run a paid pilot with 10 ecommerce brands; baseline is their current agency shortlist quality and conversion. Decision to expand if 7 of 10 report a better fit and lower cost per acquisition.","plan30":"Week 1: Build brief builder and single platform crawler. Week 2: Implement scoring models and fit reason drafting. Week 3: Build shortlist review and export. Week 4: Test with 5 brands and refine scoring.","metrics":"Shortlist to campaign conversion rate and cost per acquired customer from shortlisted voices.","channels":"LinkedIn, ecommerce communities, influencer marketing forums, and direct outreach to marketing leads.","leadMagnet":"A free sample shortlist for one platform with three ranked voices and fit reasons.","message":"Stop paying for reach you never get. Get a shortlist of micro voices who actually move your customers.","retention":"Monthly rescans and fresh shortlists for retainer clients, plus a history of voice performance to improve future recommendations.","controls":"Limit crawling to public data, respect platform rate limits and terms, require human approval on all shortlists, and block any use of private or non-consented data. Must not scrape private accounts or share personal data without consent.","crossSector":"PR and Communications; Sales","fn":["Describe product, customer and campaign feeling in a structured brief","Crawl public social profiles across platforms","Score each voice on audience overlap, comment intent and style alignment","Rank voices with a one paragraph plain English fit reason","Filter and sort by platform, score or audience size","Export a shareable memo for team or agency"],"sc":{"opp":8,"pain":8,"feas":7,"now":8},"phases":[{"name":"MVP","scope":"One buyer segment, one recurring use case. Manual review in the loop.","time":{"days":4,"label":"4 days"},"usd":8000},{"name":"Paid pilot","scope":"Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.","time":{"days":5,"label":"5 days"},"usd":9000},{"name":"Full product","scope":"Self-serve onboarding, billing, monitoring and the wider integration set.","time":{"days":9,"label":"9 days"},"usd":13000}],"running":[{"stage":"MVP and paid pilot","note":"about 3 customers","hosting":[30,60],"ai":[40,90],"total":[70,150]},{"stage":"Full product","note":"about 50 customers","hosting":[110,210],"ai":[280,560],"total":[390,770]}],"total":30000,"complexity":0.43,"days":18,"shot":true,"demo":true}