# Web Enrichment Web Intelligence uses AI-powered web search to gather additional context about leads - company details, social profiles, contact information, recent news, and professional achievements. It is a **separate, optional process** that is not part of the standard enrichment pipeline. ## When to Use Web Enrichment Web Enrichment is **opt-in and costs extra AI usage**, so most users don't run it on every lead. Reach for it when: * You're working a small list of **high-value accounts** and the default LinkedIn/X enrichment data feels too thin to write a great message. * A specific lead's **company isn't well-known** and you need funding stage, tech stack, or recent news for context. * You want to find **additional contact channels** (GitHub, Substack, podcast appearances) for a lead you can't reach via DM. Skip it when you're running high-volume outreach where standard enrichment is good enough — the cost adds up across hundreds of leads, and the lift in personalization quality is marginal for most B2B offers. ## How It Works Web Intelligence uses AI web search to gather three categories of data: * **Identity & Company**- current company, role, website, size, industry, funding, tech stack, headquarters * **Social & Contact**- additional social profiles (GitHub, YouTube, Medium, Substack, personal website) and contact information (phone, additional emails, scheduling links) * **Activity & Insights**- recent news mentions, speaking engagements, publications, podcast appearances, and achievements (last 6 months only) ### Preconditions A lead must have **at least one** of: * A LinkedIn profile URL * A website URL * A bio longer than 20 characters Leads without any of these are skipped. ## What Gets Extracted ### Company Information | Field | Description | | --------------- | ------------------------------------------------------------- | | Company Name | Company name | | Company Website | Company domain URL | | Company Size | Employee range ("1-10", "11-50", "51-200", "201-500", "500+") | | Industry | Primary industry classification | | Description | Brief company description | | Founded Year | Founding year | | Headquarters | Primary office location | | Funding Stage | Funding stage (Seed, Series A, B, C, etc.) | | Funding Amount | Total raised to date | | Investors | Array of known investor names | | Technologies | Array of tech stack tools and frameworks | If the lead does not already have an employee count value, the company size is promoted for filtering. ### Social Profiles | Field | Description | | ---------------- | ----------------------------------- | | Twitter | X/Twitter profile URL | | GitHub | GitHub profile | | YouTube | YouTube channel | | Medium | Medium blog | | Substack | Substack newsletter | | Personal Website | Portfolio, consulting site, or blog | | Other | Array of other platform profiles | ### Contact Information | Field | Description | | ----------------- | ----------------------------------------------- | | Phone | Phone number | | Additional Emails | Array of work or personal emails beyond primary | | Calendly | Scheduling page URL | ### News Mentions Array of recent news items (last 6 months only): | Field | Description | | ------- | --------------------------------------- | | Title | Headline | | Source | Publication name | | URL | Link to the article | | Date | Publication date (YYYY-MM-DD, required) | | Summary | Brief description | ### Insights | Field | Description | | -------------------- | ------------------------------------------- | | Notable Achievements | Array of professional accomplishments | | Speaking Engagements | Conferences and events | | Publications | Articles, whitepapers, or research authored | | Podcast Appearances | Interviews and podcast guest slots | ### Confidence & Sources | Field | Description | | --------------------- | ---------------------------------- | | Enrichment Confidence | Overall data reliability indicator | | Enrichment Sources | List of web sources used | | Enrichment Summary | AI-generated overview of the lead | Web enrichment data is only included in scoring context when overall confidence is sufficient. ## How It's Triggered Web Intelligence is **not part of the standard pipeline** and does **not run automatically** when leads are added. It must be triggered explicitly. You can trigger Web Intelligence manually from the Leads page by selecting leads and enabling the Web Intelligence option. You can also preview costs before enriching, retry failed or skipped leads, and check enrichment progress - all from the same interface. ## Cost Cost estimation is available before starting enrichment. Cost varies by AI model configuration. ## Error Handling Transient errors (rate limits) are automatically retried. Other errors are recorded and the job completes- web enrichment failure does not block other enrichment steps. ## Next Steps * [**Email and Website Finding**](/enrichment/optional-enrichment.md): Discover work email addresses and company websites * [**Enrichment Pipeline**](/enrichment/pipeline.md): See how the standard enrichment pipeline works --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://doc.autoreach.tech/enrichment/web-enrichment.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.