Superhuman vs Spark
Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about email client.
The verdict
When buyers ask AI for recommendations, Superhuman is recommended more often — scoring 30/100 vs 0/100.
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 is recommended more often than Spark — scoring 30/100 for AI visibility versus 0/100. Superhuman shows up in 40% of AI answers to real buyer questions; Spark shows up in 0%.
The gap is widest on ChatGPT, where Superhuman is clearly favoured: Superhuman is recommended 40% of the time and Spark 0%. 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 are the best email clients for productivity?” is more likely to put Superhuman 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?
Superhuman. It scores 30/100 for AI visibility versus Spark's 0/100, based on how often ChatGPT, Claude and Gemini recommend each for email client.
Which is more visible on ChatGPT — Superhuman or Spark?
On ChatGPT specifically, Superhuman is recommended 40% of the time and Spark 0% 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.