Lead Prospecting & Research
Provide customer examples, then the agent uses Manis.AI and an LLM to research and identify new leads matching your Ideal.
What it does
You get new leads that match your ideal customer profile by providing example profiles for research. The agent uses Manis.AI and an LLM to find individuals globally or locally who fit these criteria.
Step by step
- Define the Ideal Customer Profile (ICP) parameters such as industry, company size, and job title in a structured JSON schema.
- Ingest existing customer data into Manis.AI to establish baseline behavioral patterns for matching.
- Configure the output format to return standardized lead profiles including contact details and match confidence scores.
Where the LLM does the work
- Generate nuanced search queries that capture implicit traits of high-value customers beyond explicit keywords.
- Evaluate unstructured web data to determine if a prospect aligns with the qualitative aspects of the ICP.
- Refine lead scoring logic by analyzing the semantic similarity between new prospects and historical win records.
Watch out for
Data privacy regulations like GDPR can restrict processing personal data, so implement strict filtering for compliant regions.
LLM hallucinations may invent contact details, add a verification step using authoritative third-party APIs before outputting results.
High volume requests can trigger API rate limits, configure batched processing with exponential backoff to maintain stability.
Tools that fit
Manis.AI Service ICP research and lead finding
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Lead Prospecting & Research: Provide customer examples, then the agent uses Manis.AI and an LLM to research and identify new leads matching your Ideal. ## Specification - What it does: You get new leads that match your ideal customer profile by providing example profiles for research. The agent uses Manis.AI and an LLM to find individuals globally or locally who fit these criteria. - Trigger: Run manually (Manual · on demand) - Autonomy: You stay in control - Expected setup effort: under an hour - Tools/services involved: - Manis.AI: ICP research and lead finding - LLM: Analyzing customer database examples to identify patterns ## Known pitfalls, handle each one explicitly in your implementation 1. Data privacy regulations like GDPR can restrict processing personal data, so implement strict filtering for compliant regions. 2. LLM hallucinations may invent contact details, add a verification step using authoritative third-party APIs before outputting results. 3. High volume requests can trigger API rate limits, configure batched processing with exponential backoff to maintain stability. ## Reference implementation https://www.youtube.com/watch?v=5hZCTc_mwOg (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automated-lead-prospecting-research/ via usecasesforagents.com
Frequently asked questions
Can I use a different Image & Video Gen than Manis.AI?
Yes. Manis.AI is only the example image & video gen in this recipe. The same flow works with HTMLCSSToImage API, Kling, QuickChart and ScreenshotMachine API. Swap the image & video gen connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Built for founders and execs who need sales handled without hiring for it.
Sales teams can plug this into their own CRM and call cadence just as easily.