Superhuman vs Spark
Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about email client.
The verdict
Superhuman and Spark are neck-and-neck in AI recommendations.
Engine by engine
Superhuman vs Spark: what the data says
When buyers ask AI assistants like ChatGPT, Claude and Gemini to recommend email client, Superhuman and Spark are neck-and-neck: both score 27/100 for AI visibility, meaning the models name them about equally often. Superhuman appears in 40% of answers and Spark in 40%.
The gap is widest on ChatGPT, where Spark is clearly favoured: Superhuman is recommended 20% of the time and Spark 60%. 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 productivity?” is about equally likely to put either brand on its shortlist. Spark 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 Superhuman or Spark more?
They're roughly equal — both score 27/100 for AI visibility across ChatGPT, Claude and Gemini.
Which is more visible on ChatGPT — Superhuman or Spark?
On ChatGPT specifically, Superhuman is recommended 20% of the time and Spark 60% 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 Spark 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.