Real ChatGPT answer · index seed6qVEcbBlXN0completeB2B software · AI and automation toolshowto

What is the step-by-step process to connect our applicant tracking system to an AI parser using Make.com to cut down manual resume review time?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What is the step-by-step process to connect our applicant tracking system to an AI parser using Make.com to cut down manual resume review time?
1 real search · 1 real-search pass
Make.com webhooks HTTP modules documentation scenario ATS integration resume parsing OpenAI structured outputs API documentationGoogle ↗
OBSERVEDOther / navigational

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Make.com webhooks HTTP modules documentation scenario ATS integration resume parsing OpenAI structured outputs API documentation Google ↗
  1. Make.com · make.com
  2. OpenAI API documentation · platform.openai.com
  3. Affinda · affinda.com
  4. Webhooks · apps.make.com
  5. HTTP · apps.make.com
  6. Webhooks · help.make.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Make.com webhooks HTTP modules documentation scenario ATS integration resume parsing OpenAI structured outputs API documentation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1