Ranklisted

n8n vs Make

Which does AI actually recommend? We asked ChatGPT, Claude and Gemini the questions real buyers ask about workflow automation.

n8n
0
/ 100 AI visibility
Mention rate: 0%
Share of voice: 0%
Avg rank:
Full n8n report →
Make
86
/ 100 AI visibility
Mention rate: 100%
Share of voice: 19%
Avg rank: #2.2
Full Make report →

The verdict

When buyers ask AI for recommendations, Make is recommended more often — scoring 86/100 vs 0/100.

Engine by engine

0%
ChatGPT
100%
0%
Gemini
100%
n8n
Make

n8n vs Make: what the data says

When buyers ask AI assistants like ChatGPT, Claude and Gemini to recommend workflow automation, Make is recommended more often than n8n — scoring 86/100 for AI visibility versus 0/100. Make shows up in 100% of AI answers to real buyer questions; n8n shows up in 0%.

The gap is widest on ChatGPT, where Make is clearly favoured: n8n is recommended 0% of the time and Make 100%. 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 workflow automation tools for small businesses?” is far likely to put Make on its shortlist. n8n is largely invisible in AI answers for workflow automation — and since these shortlists are increasingly where buying decisions start, that's a gap worth closing.

Frequently asked

Does AI recommend n8n or Make more?

Make. It scores 86/100 for AI visibility versus n8n's 0/100, based on how often ChatGPT, Claude and Gemini recommend each for workflow automation.

Which is more visible on ChatGPT — n8n or Make?

On ChatGPT specifically, n8n is recommended 0% of the time and Make 100% for workflow automation questions.

How is AI visibility measured?

Ranklisted runs the real questions buyers ask AI assistants about workflow automation 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 n8n 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.

How does your brand compare?

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