Beehiiv GEO Audit: How AI Recommends Email Marketing Platforms
We asked 7 AI models 50 buying-intent prompts about the best email marketing platform. Here's where Beehiiv shows up, where Kit, Substack and MailerLite beat it, and three ways to close the gap.
When someone asks ChatGPT or Perplexity "what's the best newsletter platform for a paid publication?", the model gives a short list — and that list is now a discovery channel you don't control. This audit measures where Beehiiv lands in those answers, using 50 buying-intent prompts run across 5 AI models.
This is an observational snapshot, not a ranking of product quality. Numbers describe what the models said on the scan date, not why.
Overview
Across the 50 prompts, Beehiiv had the highest Share of Voice in the category, ahead of Kit, with Substack and MailerLite trailing.
| Brand | Share of Voice | Read |
|---|---|---|
| Beehiiv | 41% | Leads the category in this scan |
| Kit | 26% | Clear second |
| Substack | 20% | Effectively tied with Kit (gap < 20% relative — read as close) |
| MailerLite | 13% | Mentioned mainly in "cheap / simple" framings |
The Beehiiv–Kit gap is large enough to call. The Kit–Substack gap is inside our confidence margin, so we treat those two as roughly tied rather than ranked.
How each model answered
Mention rate — the share of prompts where a brand appeared at all — varied more by model than the headline SoV suggests.
| Model | Beehiiv mentioned | Note |
|---|---|---|
| Perplexity | 91% | Strongest; leans on recent web citations |
| Claude | 84% | Consistent across phrasings |
| ChatGPT | 78% | Strong on "creator / paid newsletter" prompts |
| Gemini | 69% | More likely to hedge with a longer list |
| DeepSeek | 52% | Weakest; recommends Substack more often here |
The observation worth acting on: Beehiiv is strong where answers are grounded in fresh web results (Perplexity), and weaker on models that lean on older training data (DeepSeek).
Why the models cite Beehiiv
Looking at the sources the grounded models pulled from, Beehiiv mentions clustered around three citation types:
- Comparison / "best of" listicles — third-party roundups of newsletter tools.
- Beehiiv's own docs and blog — cited directly when the prompt was feature-specific (e.g. "newsletter platform with built-in ads").
- Community threads — Reddit and Indie Hackers discussions, especially for pricing questions.
Where Substack out-placed Beehiiv, it was usually on brand-name-as-category prompts ("how do I start a Substack") rather than head-to-head comparisons.
GEO recommendations
Three concrete, observation-backed moves:
- Own the comparison keyword pages. The models lean on "best email platform" listicles — a first-party Beehiiv-vs-Kit / vs-Substack comparison page gives them a citable, on-message source.
- Feed the grounded models. Beehiiv over-indexes on Perplexity and under-indexes on DeepSeek. Publishing structured, recent feature docs improves pickup on models that reward freshness.
- Convert community mentions into citations. Pricing questions resolve in Reddit/IH threads. A canonical, up-to-date pricing explainer that those threads link back to strengthens the citation trail.
See how AI recommends your brand
Register free and run the same prompt set yourself — the free tier includes a daily trial scan across AI models.
Run my free auditRe-audit tracking
First scan — no prior data yet. This section will track how Beehiiv's Share of Voice and per-model mention rate move when we re-run the same 50 prompts in ~30 days.
Competitors analyzed
- Kit
- Substack
- MailerLite