Lever vs Workable
Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about applicant tracking system.
The verdict
Lever and Workable are neck-and-neck in AI recommendations.
Engine by engine
Lever vs Workable: what the data says
When buyers ask AI assistants like ChatGPT, Claude and Gemini to recommend applicant tracking system, Lever and Workable are neck-and-neck: both score 43/100 for AI visibility, meaning the models name them about equally often. Lever appears in 50% of answers and Workable in 50%.
In practice, an AI assistant asked “What is the best applicant tracking system for small businesses?” is about equally likely to put either brand on its shortlist. Both are in the running, but the more consistently a brand is described the same way across the web, the more confidently the models name it.
Frequently asked
Does AI recommend Lever or Workable more?
They're roughly equal — both score 43/100 for AI visibility across ChatGPT, Claude and Gemini.
Which is more visible on ChatGPT — Lever or Workable?
On ChatGPT specifically, Lever is recommended 60% of the time and Workable 60% for applicant tracking system questions.
How is AI visibility measured?
Ranklisted runs the real questions buyers ask AI assistants about applicant tracking system across ChatGPT, Claude and Gemini, records whether each brand is recommended and where it ranks, and turns it into a 0–100 score. It's re-checked weekly.
Can Workable improve how often AI recommends it?
Yes. AI assistants recommend brands that are described consistently across third-party "best of" lists, reviews and comparison content. Building that presence raises the score over time — you can track the change weekly.