Prompt

How do I enrich lead records with a data API?

Technology / API Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

To enrich lead records with a data API, you typically:

  1. Collect the lead data you already have

    • Usually: email, name, company domain, phone, LinkedIn URL, etc.
    • The more accurate the input, the better the match rate.
  2. Choose an enrichment provider

    • Examples: Clearbit, ZoomInfo, People Data Labs, Apollo, FullContact, Dropcontact, and others.
    • Check what they support:
      • Person enrichment
      • Company enrichment
      • Technographic / firmographic data
      • Intent signals
      • Data licensing and compliance terms
  3. Map your CRM fields to the API fields

    • Decide which fields you’ll send and which enriched fields you want back.
    • Example input:
      • email
      • first_name
      • last_name
      • company_domain
    • Example output:
      • job_title
      • company_size
      • industry
      • location
      • linkedin_url
  4. Call the enrichment API

    • Usually a GET or POST request with identifying info.
    • Example pattern:
      • Send the lead’s email or domain
      • API returns a JSON object with additional attributes

    Example:

    curl "https://api.example.com/enrich?email=jane@acme.com" \
      -H "Authorization: Bearer YOUR_API_KEY"
    
  5. Merge the returned data into your lead record

    • Update only missing fields or overwrite according to your business rules.
    • Common rule: keep original data if confidence is low.
  6. Handle confidence, deduplication, and errors

    • Not every record will match.
    • Use:
      • confidence scores
      • match types
      • null-safe updates
      • retry logic for failed requests
  7. Sync the enriched data back to your CRM or database

    • Update HubSpot, Salesforce, Airtable, etc. via their APIs or native integrations.
    • Log enrichment timestamps so you know when records were last refreshed.
  8. Stay compliant

    • Make sure your use of enrichment data follows:
      • GDPR / CCPA
      • the provider’s terms
      • your consent and retention policies
    • Be careful with sensitive or regulated data.

Simple implementation flow

  • Lead created in CRM
  • Webhook triggers your enrichment service
  • Your service calls data API
  • Response is normalized
  • CRM record is updated
  • Audit log is saved

Example pseudo-code

lead = {
  "email": "jane@acme.com",
  "company_domain": "acme.com"
}

response = enrich_api.lookup(email=lead["email"])

if response["match"]:
    lead["job_title"] = response.get("job_title", lead.get("job_title"))
    lead["company_size"] = response.get("company_size", lead.get("company_size"))
    lead["industry"] = response.get("industry", lead.get("industry"))

If you want, I can also show:

  • a real API example with a specific enrichment provider,
  • a HubSpot/Salesforce integration flow, or
  • a no-code version using Zapier/Make.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.