How do modern applicant tracking systems parse two-column resume layouts versus traditional single-column formats for senior finance roles
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do modern applicant tracking systems parse two-column resume layouts versus traditional single-column formats for senior finance roles
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
modern applicant tracking systems resume parsing columns two column layout reading order vendor guidance 2025 Google ↗
ATS resume parsing tables columns PDF DOCX parsing Greenhouse Lever Workday resume formatting guidance Google ↗
- Unsuccessful resume parse · support.greenhouse.io
- Manually add a candidate or prospect · support.greenhouse.io
- Concept: Resume Parsing · doc.workday.com
- Talent Matching · support.greenhouse.io
- Talent Matching · support.greenhouse.io
- Understanding Resume Parsing · help.lever.co
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
modern applicant tracking systems resume parsing columns two column layout reading order vendor guidance 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
ATS resume parsing tables columns PDF DOCX parsing Greenhouse Lever Workday resume formatting guidance OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |