What is PromptLoop?
PromptLoop is an AI lead generation platform that crawls live web sources to find and enrich company datasets for sales and marketing teams. It returns structured prospect data — company details, contact information, and custom research fields — at scale. The platform combines AI-driven web research with dataset management in one flow, taking teams from a keyword or URL list to a fully enriched prospect dataset.
Features & Benefits
- AI-Generated Tasks — describe a research goal in plain language and PromptLoop auto-generates the task structure, output columns, and extraction queries
- Website Crawl — crawl any list of URLs and extract structured data points; choose single-page, smart crawl, or deep crawl depending on how far into the site the target data sits
- Search Tasks — provide a company name or keyword instead of a URL; PromptLoop searches the web first, then crawls the result to return the requested data
- Dataset Generation — build a prospect list from scratch using geographic crawl (local businesses by keyword and region) or global crawl (worldwide companies filtered by industry, business type, or HQ location)
- AI Column — generate or transform text into clean, typed columns including summaries, categories, and normalized fields with enforced output formats
- Email Enrichment — given a person and company or domain, return a verified or probable work email with confidence score and source URL
- Phone Enrichment — given a person and company or domain, return a verified or probable work or mobile number
- Chained Tasks — link up to five tasks into a single automated sequence, passing outputs from one step directly into the next without manual intervention
- Output Formats — return data as text, numbers, true/false, categories, links, image links, JSON, or lists; category formats restrict outputs to defined labels for uniform results
- Confidence Scores — flag low-certainty extractions so teams can review before acting on the data
- Source Columns — record the exact URL the model used to generate each answer
- Dataset Versioning — each AI lead generation job creates a new dataset version, preserving prior outputs and enabling run comparisons
- New Column Generation — reformat or combine existing columns using a natural-language prompt without running a full task
- In-App Filtering — search and filter dataset results to spot blanks and errors before downloading or chaining
- CRM and Spreadsheet Integrations — import existing contact lists from connected CRM and spreadsheet tools.
Real-World Applications
A sales team targeting commercial contractors in a specific metro can run a geographic crawl to generate a prospect list of matching businesses, then chain an email enrichment task to append verified contact details. The entire AI lead generation sequence runs without manual file handling between steps. Jobs covering up to 50,000 rows finish within 90 minutes.
Private equity and investment research firms can use PromptLoop to scan thousands of company websites for specific signals — ownership structure, service lines, revenue indicators, or technology stack — and return results as structured columns. A deep crawl task pulls data buried across multiple pages of each site. Confidence scores help analysts prioritize records that need manual review.
Marketing teams can configure auto-enrichment to trigger on every new company that enters their CRM. PromptLoop runs the assigned AI lead generation task automatically and writes output back to mapped properties. This keeps B2B data enrichment continuous rather than dependent on periodic manual exports.
E-commerce brands researching supplier or partner networks can generate a global crawl filtered by industry and geography, then run a custom task to extract pricing pages, contact forms, or product category data from each result. The List output format returns one row per extracted item, making it straightforward to analyze multi-value fields like product lines or service areas across hundreds of sites.
