Canonical URL: https://chargezen.com/docs/spark/ai-agents/discovery-agent # Discovery Agent AI-powered creator discovery and recommendation from 38M+ profiles Last updated: 2026-01-19 The Discovery Agent continuously searches for creators who match your brand, analyzing content, audience demographics, and engagement patterns across a database of 38M+ profiles. It surfaces the best opportunities so you can build a high-performing affiliate roster. ##### Learning Over Time The Discovery Agent learns from your approve/reject decisions. The more feedback you provide, the better its recommendations become. Most programs see significantly improved match quality after 2-3 weeks of active use. ## What It Does The Discovery Agent runs continuously in the background, performing these tasks: * **Daily Database Scans** — Searches 38M+ creator profiles for new matches * **Content Analysis** — Evaluates recent posts for brand alignment and quality * **Audience Evaluation** — Analyzes follower demographics against your customer profile * **Competitor Monitoring** — Identifies creators mentioning your competitors * **Brand Mention Detection** — Finds creators already talking about your brand * **Lookalike Discovery** — Finds creators similar to your top performers * **Prioritized Recommendations** — Generates ranked lists based on fit scores ## Configuration Settings Configure the Discovery Agent to match your ideal affiliate profile. Access settings at **AI → Agent Insights → Discovery Agent → Settings**. ### Follower Range Set minimum and maximum follower counts to target the right creator tier: * **Nano (1K-10K)** — High engagement, niche audiences, lower reach * **Micro (10K-100K)** — Balanced engagement and reach, often best ROI * **Mid-tier (100K-500K)** — Broader reach, established credibility * **Macro (500K-1M)** — Large audiences, brand awareness plays * **Mega (1M+)** — Celebrity-level reach, premium partnerships **Default:** 5,000 - 500,000 followers (optimized for micro and mid-tier) ### Platform Preferences Select which platforms to search. Enable multiple platforms for broader discovery: * **Instagram** — Posts, Reels, Stories analysis * **TikTok** — Video content and engagement patterns * **YouTube** — Long-form content, tutorials, reviews * **Twitter/X** — Text-based influence, thought leadership * **Pinterest** — Visual content, lifestyle and product pins * **Blogs** — WordPress, Substack, Medium, personal sites **Default:** Instagram, TikTok, YouTube enabled ### Content Type Preferences Prioritize creators who produce specific content types: * **Video (Short-form)** — Reels, TikToks, Shorts * **Video (Long-form)** — YouTube videos, IGTV * **Photo/Image** — Static posts, carousels * **Written/Blog** — Articles, reviews, tutorials * **Live Content** — Streams, live shopping ### Niche Categories Define which content categories are relevant to your brand: * **Primary Niches** — Must create content in these categories * **Secondary Niches** — Bonus points if they cover these topics * **Excluded Niches** — Never recommend creators in these categories Categories include: Beauty, Fashion, Fitness, Health & Wellness, Food & Beverage, Tech & Gadgets, Home & Lifestyle, Parenting, Travel, Gaming, Finance, and 50+ more. ### Geographic Targeting * **Creator Location** — Where the creator is based * **Audience Location** — Where their followers are located * **Language** — Primary content language **Tip:** For best results, align audience location with your shipping regions. ### Engagement Thresholds * **Minimum Engagement Rate** — Default: 2% (varies by platform) * **Comment Quality** — AI evaluates comment authenticity * **Growth Trend** — Prefer growing accounts vs. declining ### Exclusion Rules Automatically exclude creators who match certain criteria: * **Already in Program** — Skip existing affiliates * **Previously Rejected** — Don't resurface rejected creators * **Competitor Affiliates** — Exclude known competitor partners * **Keyword Blocklist** — Exclude based on bio or content keywords * **Brand Safety** — Filter controversial or inappropriate content ##### Brand Safety Brand safety filters are enabled by default. The agent scans for controversial topics, explicit content, and potential PR risks. You can adjust sensitivity in settings. ## Fit Score Algorithm Every discovered creator receives a fit score from 0-100. The score is calculated using multiple weighted factors: ### Score Components * **Audience Match (30%)** — How well their audience matches your customer demographics * **Content Relevance (25%)** — Alignment between their content and your products * **Engagement Quality (20%)** — Authentic engagement, not just volume * **Brand Affinity (15%)** — Prior mentions of your brand or similar brands * **Historical Performance (10%)** — If lookalike to successful affiliates ### Score Interpretation * **90-100 (Excellent)** — Highly likely to convert and perform well * **75-89 (Strong)** — Good match, worth pursuing * **60-74 (Moderate)** — Potential fit, review carefully * **40-59 (Weak)** — Limited alignment, consider if niche is valuable * **Below 40** — Not recommended, filtered by default **Default threshold:** Only creators with 60+ scores appear in recommendations. Adjust this in settings. ## Recommendation Queue Discovered creators appear in your recommendation queue, accessible at **AI → Discovery Agent → Recommendations**. Each recommendation includes: ### Creator Profile Card * **Profile Summary** — Name, handle, bio, profile image * **Platform Presence** — Followers on each platform, growth trend * **Engagement Metrics** — Engagement rate, average likes/comments * **Fit Score** — Overall score with breakdown by factor * **Content Samples** — 3-6 recent posts for quick review * **Audience Insights** — Demographics, location, interests ### AI Reasoning Each recommendation includes an explanation of why the creator was suggested: * Key factors that contributed to the fit score * Specific content that triggered the match * Comparison to your successful affiliates (if applicable) * Any potential concerns or considerations ### Available Actions * **Approve** — Add to recruitment list, optionally trigger Outreach Agent * **Reject** — Remove from queue, won't be suggested again * **Save for Later** — Keep in separate list for future consideration * **View Full Profile** — Open detailed creator analysis * **Start Outreach** — Immediately begin Outreach Agent sequence ##### Bulk Processing Use checkboxes to select multiple creators and apply bulk actions. Great for quickly processing a backlog of recommendations. ## Automated Actions Configure what happens automatically when high-fit creators are discovered. Set these in **Discovery Agent → Settings → Automations**. ### Add to Recruitment List * **Trigger:** Fit score above threshold (configurable, e.g., 85+) * **Action:** Auto-add to a specified recruitment list * **Use case:** Build curated lists for different campaigns ### Trigger Outreach Agent * **Trigger:** Fit score above threshold (configurable, e.g., 90+) * **Action:** Automatically start Outreach Agent recruitment sequence * **Settings:** Select sequence template, set daily limits * **Safeguard:** Maximum 25 auto-outreach per day (configurable) ### Notify Team * **Trigger:** VIP discovery (e.g., 100K+ followers with 90+ score) * **Action:** Send Slack message or email to team * **Use case:** Ensure high-value prospects get immediate attention ### Auto-Invite to Program * **Trigger:** Creator already mentions your brand + high fit score * **Action:** Send program invitation directly * **Use case:** Fast-track existing brand fans into your affiliate program ## Lookalike Discovery One of the Discovery Agent's most powerful features is finding creators similar to your top performers. Here's how it works: 1. **Identify Top Performers** — System analyzes your highest-converting affiliates 2. **Extract Patterns** — Content style, audience demographics, engagement patterns 3. **Search Database** — Find creators matching those patterns who aren't affiliates yet 4. **Score Similarity** — Rank by how closely they match your winners ##### Seed Your Lookalikes The more successful affiliates you have, the better lookalike discovery works. If you're just starting, manually tag your best affiliates as "lookalike seeds" to jumpstart this feature. ## Performance Metrics Track the Discovery Agent's effectiveness with these metrics, available in the **Analytics → AI Performance** dashboard: #### Key Metrics * Creators Discovered — Total new creators found (daily/weekly/monthly) * Recommendation Accuracy — % of approved vs. rejected recommendations * Approval Rate — % of recommendations you approve * Conversion Rate — % of approved creators who become active affiliates * Time to Affiliate — Days from discovery to first sale * Lookalike Hit Rate — % of lookalike suggestions that match top performer patterns * Score Calibration — How well fit scores predict actual performance ## Best Practices ### Provide Consistent Feedback The agent learns from every approve/reject decision. For best results: * Review recommendations daily during the first 2 weeks * When rejecting, select a reason from the dropdown (helps training) * Approve creators you'd consider, even if you're not ready to outreach yet * Use "Save for Later" sparingly—it doesn't train the model ### Tune Your Thresholds Start with default settings, then adjust based on volume and quality: * **Too many recommendations?** — Raise minimum fit score threshold * **Too few recommendations?** — Lower thresholds or expand platforms * **Wrong creator types?** — Refine niche categories and exclusions ### Automate Carefully Start with manual approvals, then enable automations as you trust the system: 1. Week 1-2: Review all recommendations manually 2. Week 3-4: Enable auto-add to list for 90+ scores 3. Month 2+: Consider auto-outreach for highest scores ## Troubleshooting ### No Recommendations Appearing * Check if filters are too restrictive (especially follower range) * Verify niche categories are configured * Ensure platforms are enabled * Lower minimum fit score threshold temporarily ### Wrong Type of Creators * Add keywords to exclusion list * Tighten niche categories * Reject poor matches with detailed feedback * Check if brand safety filters need adjustment ### Recommendations Seem Stale * Agent scans daily; new creators appear continuously * Enable more platforms for broader discovery * Check if your criteria is too narrow for the database ## API Access Access Discovery Agent programmatically via the Spark! API: * `GET /ai/discovery/recommendations` — Fetch pending recommendations * `POST /ai/discovery/recommendations/:id/approve` — Approve a creator * `POST /ai/discovery/recommendations/:id/reject` — Reject a creator * `GET /ai/discovery/settings` — Get current configuration * `PUT /ai/discovery/settings` — Update configuration See the [API Reference](https://chargezen.com/docs/spark/api/endpoints) for full documentation. ## Next Steps [ ### Outreach Agent Automate recruitment messaging for discovered creators Learn more ](https://chargezen.com/docs/spark/ai-agents/outreach-agent)[ ### Creator Discovery Manual discovery tools and search interface Learn more ](https://chargezen.com/docs/spark/creator-discovery/overview) ### Related Articles [ #### Creator Discovery Manual discovery tools ](https://chargezen.com/docs/spark/creator-discovery/overview)[ #### Outreach Agent Automate recruitment ](https://chargezen.com/docs/spark/ai-agents/outreach-agent)[ #### AI Agents Overview All agents ](https://chargezen.com/docs/spark/ai-agents/overview) Was this page helpful? 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