The Search Session
What was said
we have some strong case studies. There's one with Wells Fargo around like when we connected the schema markup for a location, we were able to solve some hallucinations and AI.
“we have some strong case studies. There's one with Wells Fargo around like when we connected the schema markup for a location, we were able to solve some hallucinations and AI.”
Martha van BerkelThe Search SessionView
What this signalsWhat leaders say on podcasts often shows their current priorities.
podcast-companyaiInvestmentGet every podcast signal for Wells Fargo and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Wells Fargo this week?”
The Signal API returns podcast signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full podcast-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/9eaad0ff-adf6-5fff-84eb-22d04bb7892e returns this record as JSON. POST /v1/companies/enrich returns every signal for wellsfargo.com.
{
"signal_id": "9eaad0ff-adf6-5fff-84eb-22d04bb7892e",
"signal_type": "podcast-company",
"signal_subtype": "aiInvestment",
"detected_at": "2026-09-07T04:03:48+00:00",
"company": {
"name": "Wells Fargo",
"domain": "wellsfargo.com"
},
"data": {
"is_ad": false,
"quotes": [
"we have some strong case studies. There's one with Wells Fargo around like when we connected the schema markup for a location, we were able to solve some hallucinations and AI."
],
"timing": "in_progress",
"speaker": "Martha van Berkel",
"evidence": "we have some strong case studies. There's one with Wells Fargo around like when we connected the schema markup for a location, we were able to solve some hallucinations and AI.",
"headline": "Wells Fargo · aiInvestment · in_progress (2024-07)",
"episode_id": "59917402262",
"event_date": "2024-07",
"episode_url": "https://podcasters.spotify.com/pod/show/advanced-web-ranking/episodes/The-Semantic-Data-Layer-Building-a-Brand-AI-Can-Understand--Martha-van-Berkel-and-Mark-van-Berkel-e3nqhtj",
"podcast_name": "The Search Session",
"published_at": "2026-08-31",
"episode_title": "The Semantic Data Layer: Building a Brand AI Can Understand | Martha van Berkel and Mark van Berkel",
"date_confidence": "exact",
"speaker_relation": "own_customer",
"transcript_source": "transcript",
"recorded_at_estimate": "2024-07-29"
}
}
curl https://signals.autobound.ai/v1/signals/9eaad0ff-adf6-5fff-84eb-22d04bb7892e \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"wellsfargo.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.