- AI for Ecommerce and Amazon Sellers
- Posts
- Guide: Discovering Instagram Micro-Influencers with AI
Guide: Discovering Instagram Micro-Influencers with AI
A full SOP inside

From Our Sponsor:
Training cutting edge AI? Unlock the data advantage today.
If you’re building or fine-tuning generative AI models, this guide is your shortcut to smarter AI model training. Learn how Shutterstock’s multimodal datasets—grounded in measurable user behavior—can help you reduce legal risk, boost creative diversity, and improve model reliability.
Inside, you’ll uncover why scraped data and aesthetic proxies often fall short—and how to use clustering methods and semantic evaluation to refine your dataset and your outputs. Designed for AI leaders, product teams, and ML engineers, this guide walks through how to identify refinement-worthy data, align with generative preferences, and validate progress with confidence.
Whether you're optimizing alignment, output quality, or time-to-value, this playbook gives you a data advantage. Download the guide and train your models with data built for performance.
Guide: Discovering Instagram Micro-Influencers with AI

Understanding Micro-Influencer Research with AI
Finding the right micro-influencers for your brand traditionally requires hours of manual research across multiple platforms and tools. You need to identify creators in your niche, verify their engagement rates, check their follower counts, find contact information, and ensure they align with your brand values—all while avoiding fake or inactive accounts.
Genspark.ai, as an agentic browser, can automate much of this research process by systematically searching across platforms, cross-referencing data from multiple sources, and compiling comprehensive lists of potential collaborators. While not perfect, this approach can significantly accelerate your influencer discovery process.
Important Caveat: Research Accuracy and Limitations
From personal experiments: While this AI-powered approach can provide a fairly robust list of potential micro-influencers, it's important to understand its limitations. There may be some hallucinations or inaccuracies in the data, and not all information will be completely accurate. Follower counts, engagement rates, and contact information should be manually verified before outreach. Think of this as a starting point for your research rather than definitive data. The AI provides a valuable foundation, but human verification remains essential for accuracy.
What You'll Need
Access to Genspark.ai with research capabilities
Clear campaign parameters:
Your target niche or industry
Geographic preferences
Language requirements
Follower count limits
Minimum engagement rate expectations
Outreach strategy for contacting identified influencers
Understanding the Research Process
This AI-powered approach will systematically search for influencers who meet your specific criteria, then organize the findings into a comprehensive list with key metrics and contact information. The process includes cross-referencing multiple data sources to improve accuracy.
Step 1: Define Your Influencer Criteria
Before starting your research, clearly establish your parameters:
Content Focus:
Primary niche or topic area (like "sustainable fashion" or "keto recipes")
Content style preferences
Brand alignment requirements
Audience Demographics:
Geographic location (creator location or audience location)
Language preferences
Target age groups or interests
Account Specifications:
Maximum follower count (typically 10,000 for micro-influencers)
Minimum engagement rate (usually 3-10%)
Account activity requirements
Verification status preferences
Quality Standards:
Minimum post frequency
Recent activity requirements
Content quality expectations
Step 2: Use the Comprehensive Research Prompt
Log into Genspark.ai and start a new chat
Use this detailed research prompt, replacing the example criteria with your specific requirements:
📌 INSTAGRAM MICRO-INFLUENCER RESEARCH BRIEF
You are an influencer discovery specialist. Research Instagram and compile a list of exactly 50 micro-influencers meeting all specified criteria.
🎯 SELECTION CRITERIA
- Primary content focus: [YOUR NICHE - e.g., "sustainable fashion"]
- Geographic focus: [YOUR LOCATION - e.g., "United States"]
- Content language: [YOUR LANGUAGE - e.g., "English"]
- Maximum followers: [YOUR LIMIT - e.g., "10,000"]
- Minimum engagement rate: [YOUR MINIMUM - e.g., "5%"]
Calculate engagement rate as: (average likes + comments from latest 12 posts) ÷ followers × 100
EXCLUDE accounts that:
- Have verification badges or are brand-owned
- Posted fewer than 10 total posts
- Haven't posted in the last 30 days
- Promote inappropriate or off-brand content
🔍 RESEARCH METHODOLOGY
1. Search Instagram and public influencer databases
2. Cross-verify metrics using multiple sources when possible
3. Extract contact information from:
- Instagram profile email buttons
- Link-in-bio services (Linktree, etc.)
- Connected websites or social profiles
4. Record data collection date (YYYY-MM-DD format)
📋 DELIVERABLE FORMAT
Create a Markdown table with these columns:
| # | Instagram Handle | Followers | Engagement Rate % | Content Focus | Location | Contact Info | Data Date |
Requirements:
- Sort by highest engagement rate
- Include exactly 50 entries
- Use "—" when no contact information is available
- Round engagement rates to one decimal place
- Include your top 3 data sources after the table
✅ QUALITY ASSURANCE
Before submitting, verify:
☑️ Exactly 50 unique accounts listed
☑️ All accounts meet follower and engagement criteria
☑️ No duplicate handles or contact information
☑️ Table formats correctly in Markdown
☑️ All numbers are within specified ranges
📎 OUTPUT REQUIREMENTS
- Provide only the table and source list
- Do not include additional commentary or code formatting
- Keep numbers clean (no comma separators)
- Ensure all data is current and accurate
Replace all bracketed sections with your specific criteria
Submit the research prompt to Genspark and allow time for comprehensive data collection
Step 3: Review and Validate Your Results
Once Genspark completes the research, carefully review the output:
Data Verification
Count check: Confirm exactly 50 influencers are listed
Criteria compliance: Verify all accounts meet your follower and engagement requirements
Quality assessment: Check that accounts appear active and relevant
Manual Verification Process
Spot-check several accounts by visiting their Instagram profiles directly
Verify follower counts and recent engagement rates
Assess content quality and brand alignment
Step 4: Organize and Prioritize Your Outreach
Outreach Best Practices
Personalize every message based on the creator's content
Be clear about partnership terms and expectations
Provide value beyond just monetary compensation
Build genuine relationships rather than transactional partnerships
Managing Expectations and Limitations
What This Approach Does Well
Identifies potential collaborators efficiently
Provides structured data for decision-making
Covers broad search across multiple sources
Saves significant research time
What Requires Human Verification
Exact follower counts and engagement rates
Contact information accuracy
Content quality and brand alignment assessment
Recent account activity and authenticity
Here is a link to the full SOP, gift for you :)
Do You Love The AI For Ecommerce Sellers Newsletter?
You can help us!
Spread the word to your colleagues or friends who you think would benefit from our weekly insights 🙂 Simply forward this issue.
In addition, we are open to sponsorships. We have more than 40,000 subscribers with 75% of our readers based in the US. To get our rate card and more info, email us at [email protected]
The Quick Read:
Treat AI chatbots as smart self-service tools, not full-on support agents. A great guide on how to think about AI for maximum efficiency.
Clicks down, revenue up: Google’s AI Overviews are slashing traffic but boosting revenue as top-funnel browsers stay put and bottom-funnel buyers pay premium CPCs.
Fake daughter, real campaign: A viral meditation app used a totally fake influencer to drive downloads. Welcome to marketing in 2025 as attention becomes the new gold.
Featured snippets are vanishing as Google’s AI summaries dominate. Sitelinks also soar, reshaping what SEO strategy looks like in 2025.
Walmart’s AI super agents go live: Meet Sparky, Marty and friends, Walmart’s new AI ecosystem built to power shopping, HR, logistics and innovation at scale.
Google NotebookLM video overviews are nearly here - Internally tested narrated slideshows hint at a hands-free, study-friendly future with launch timing still unclear.
OpenAI's new agent clicks "I'm not a robot" like a pro
Gen Z now scrolls 2.6x more than they stream. TikTok tops TV as short-form video dominates every feed and every screen.
From fake influencers to data transparency, brands must navigate AI carefully.
The Tools List:
🦾 Kommunicate GenAI - Easily deploy generative AI bots on any platform
📊 Smartly: Achieve better marketing campaign performance and business results with a single workflow using AI.
⚙️ Optimove: Data consolidation platform offering a Customer Data Platform (CDP) for unified, actionable customer insights across various sources.
📹 MeetGeek: Automagically record videos, transcribe, summarize, and share insights from every meeting to any tool.
👨💼 Aesop - Your AI-powered SaaS to find smart, distinctive names and the stories they tell – for your new brand, business, product, or project
About The Writer:

Jo Lambadjieva is an entrepreneur and AI expert in the e-commerce industry. She is the founder and CEO of Amazing Wave, an agency specializing in AI-driven solutions for e-commerce businesses. With over 13 years of experience in digital marketing, agency work, and e-commerce, Joanna has established herself as a thought leader in integrating AI technologies for business growth.
For Team and Agency AI training book an intro call here.