Spark vs Superhuman
Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about email client.
The verdict
Spark and Superhuman are neck-and-neck in AI recommendations.
Engine by engine
Spark vs Superhuman: what the data says
When buyers ask AI assistants like ChatGPT, Claude and Gemini to recommend email client, Spark and Superhuman are neck-and-neck: both score 27/100 for AI visibility, meaning the models name them about equally often. Spark appears in 40% of answers and Superhuman in 40%.
The gap is widest on ChatGPT, where Spark is clearly favoured: Spark is recommended 60% of the time and Superhuman 20%. Because each engine draws on different sources, a brand can lead on one and trail on another — which is why it pays to track all three rather than assume one result holds everywhere.
In practice, an AI assistant asked “What is the best email client for managing multiple accounts?” is about equally likely to put either brand on its shortlist. Superhuman is largely invisible in AI answers for email client — and since these shortlists are increasingly where buying decisions start, that's a gap worth closing.
Frequently asked
Does AI recommend Spark or Superhuman more?
They're roughly equal — both score 27/100 for AI visibility across ChatGPT, Claude and Gemini.
Which is more visible on ChatGPT — Spark or Superhuman?
On ChatGPT specifically, Spark is recommended 60% of the time and Superhuman 20% for email client questions.
How is AI visibility measured?
Ranklisted runs the real questions buyers ask AI assistants about email client 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 Superhuman 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.