Most people trying to find B2B prospects for creator partnerships, affiliate campaigns, or sponsored content end up with garbage data. Generic lists. Unverified emails. Dead companies. Guessed LinkedIn URLs.
The problem isn't the search. The problem is the prompt.
If you're using an AI research agent like Claude, Gemini, or another tool with browsing capabilities — a bad prompt returns bad data. A good prompt returns a spreadsheet-ready database of verified, actionable prospects ranked by likelihood to convert.
This prompt was built specifically for finding high-quality Shopify women's fashion brands that are actively marketing online and likely to spend money on creator partnerships. It forces the AI to do deep research, verify every piece of data, and avoid hallucination.
How to Use It
Copy the prompt below. Paste it into Claude, Gemini Deep Research, or your preferred AI research agent with web browsing. Let it run to completion — don't stop it early. Export the results as a CSV. You now have a verified prospect database ready for outreach.
The Research Prompt
You are an elite B2B research analyst specializing in Shopify brands and founder research.
Your objective is to build a prospect database of the BEST women's fashion brands using Shopify that would be strong candidates for paid creator partnerships, affiliate campaigns, or sponsored content.
DO NOT return generic lists.
Perform deep research on every company.
Prioritize brands that are:
- Built on Shopify (or Shopify Plus)
- Women's fashion/apparel
- Active on Instagram and TikTok
- Estimated annual revenue between $1M–$50M
- Founder-led or privately owned
- Actively marketing online
- Likely to spend money on influencer or creator marketing
Avoid:
- Luxury conglomerates (LVMH, Kering, etc.)
- Amazon sellers / Etsy stores
- Wholesale-only companies
- Dead brands / No online presence
For EACH company, collect:
COMPANY: Brand name, Website, Shopify confirmation, Shopify Plus?, HQ, Country, Year founded, Category, Est. annual revenue, Revenue confidence
FOUNDER: Founder(s), CEO, LinkedIn URL, Instagram URL, X URL, Personal website, Public email
CONTACTS: General email, Marketing email, PR email, Partnerships email, Affiliate email, Press email, Business dev email
SOCIALS: Instagram, TikTok, Facebook, Pinterest, LinkedIn Company, YouTube
MARKETING: Influencer program?, Ambassador program?, Affiliate program?, Creator program?, UGC program?, Referral program?
OUTREACH: Best contact person, Best email, Best outreach channel, Confidence score (1–10)
DATA: Est. monthly traffic, Est. employee count, Est. ad activity, Tech stack
OUTPUT: Return everything in a spreadsheet-ready table. Every URL must be clickable. Never invent emails. Never guess LinkedIn URLs. If a field cannot be verified, leave it blank. Rank every company from best to worst prospect with a Prospect Score from 1–100.
Enhanced Research Instructions
If you're using an agent with full browsing and research capabilities (Claude Code, Gemini Deep Research, or similar), append this to maximize data completeness:
Do not stop after finding one contact.
Continue researching until you have exhausted:
- Company website (contact, about, team, press, affiliate, careers pages)
- Instagram bio + linked website
- LinkedIn company page
- Founder LinkedIn, Instagram, X
- Crunchbase, PitchBook, Store Leads, BuiltWith
- Apollo, Hunter, RocketReach, ZoomInfo (public info only)
Search for additional emails using combinations:
partnerships@ / marketing@ / pr@ / press@ / collabs@ / creators@ / influencer@ / affiliate@ / hello@ / team@ / media@
If multiple contacts are found, include them all.
Spend as much time as necessary to maximize data completeness rather than speed.
What You'll Get
If the research agent follows this prompt properly, you'll end up with verified Shopify women's fashion brands, actual founder and team contact information, multiple email addresses per company, social media profiles linked, marketing program details, confidence scores for outreach, and a ranked list ready for cold email or outreach campaigns.
This is the kind of data that normally costs thousands of dollars from a data broker or requires weeks of manual research.
One prompt. One AI agent. One comprehensive prospect database.
The Real Value
The difference between a good prospect database and a useless one is specificity in the research instructions. This prompt doesn't ask the AI to "find women's fashion brands." It asks it to find verifiable brands with specific revenue ranges, active online presence, legitimate contact information, and realistic likelihood to pay for creator partnerships.
That specificity is what separates actionable outreach data from noise.
Once you've built your prospect database, you need to actually reach them. Squibb AI takes your list and handles the outreach — personalized emails, follow-ups, and conversation management on autopilot. You build the database with the prompt. Squibb starts the conversations. You close the deals.
Try Squibb AI →
See more tools →
