AI Visibility Report #001 · Payments & MoR

Do AI assistants recommend Paddle, Stripe, or Lemon Squeezy?

We asked four AI answer engines — ChatGPT, Perplexity, Google AI Overviews and Claude — 20 real buyer questions about SaaS payments. Every question ran three times per engine: 235 scored answers. Here's who AI actually tells founders to use, and which sources are pulling the strings.

By Hsiang Lee · Scanned Aug 27–28, 2026 · Raw verdicts (JSON)
Paddle
73%
recommendation share (172/235 answers)
Stripe
66%
recommendation share (154/235)
Lemon Squeezy
42%
recommendation share (98/235)

Recommendation share = % of answers that named the brand as a positive option for the buyer's question.

The headline surprised us: across this buyer-question set, AI engines recommend Paddle more often than Stripe. But the crown has an asterisk — when engines pick a single first choice, it's still Stripe: on ChatGPT, Stripe is the top recommendation in 50% of answers vs Paddle's 18%. Paddle gets on the shortlist; Stripe gets the default slot.

Finding 01 — Your AI visibility is not one number. It's four parallel universes.

The same 20 questions produced wildly different worlds per engine. Paddle is near-omnipresent on Google AI Overviews (93%) and Perplexity (87%) — but only recommended in 53% of ChatGPT answers. And Lemon Squeezy effectively does not exist on ChatGPT: recommended in 5% of answers, even mentioned in just 10%.

Recommended inPerplexityChatGPTGoogle AIOClaude
Paddle87%53%93%62%
Stripe62%82%56%62%
Lemon Squeezy47%5%69%48%
If your buyers live on ChatGPT, your payments-provider reality is Stripe's. If they search with Google or Perplexity, it's Paddle's. Measuring one engine tells you almost nothing about the others.

Finding 02 — Two rival MoRs' blogs out-cite Stripe's and Paddle's own websites.

We logged every source the engines cited. The most-cited domain overall is Reddit (Perplexity leaned on it in 17 of 20 questions). But the sharper pattern is who wrote the rest of the reading list: dodopayments.com — a competing merchant of record — was cited on 14 of 20 questions, and fungies.io, another rival platform, on 12 of 20. The official sites they're being compared against? stripe.com appeared on 9 questions, paddle.com on 10.

Source coverage — questions (of 20) where the domain was cited · Perplexity + Claude

reddit.com community
17 / 20
dodopayments.com rival MoR blog
14 / 20
fungies.io rival platform blog
12 / 20
paddle.com official
10 / 20
stripe.com official
9 / 20
g2.com review site
7 / 20
Citation counts: reddit.com 147 · fungies.io 78 · dodopayments.com 63 · paddle.com 44 · stripe.com 36. ChatGPT and Google AIO returned few or no machine-readable citations in this scan.

Read that again: when a founder asks AI which payment platform to use, part of the answer was written by the competitors of the platforms being compared. Comparison posts on rival blogs are doing exactly what they were designed to do — except now the reader is a language model, and it cites its homework.

Finding 03 — One in five answers flips if you just ask again.

Every question ran three times per engine, identically. In 23% of Paddle's question×engine cells and 21% of Stripe's, the verdict flipped between runs — recommended in one pass, absent the next. (Lemon Squeezy flipped least, at 10% — it's more consistently in or consistently out.)

A single-run screenshot of "what ChatGPT says about us" is a coin-flip wearing a suit. Any serious measurement of AI visibility has to be multi-run, majority-scored — that drift is why this study (and every Ainswer scan) repeats each check and reports the consensus.

Also in the data

The next generation is already in the room. Polar was named in 10% of all answers and Creem in 7% — real presence for two young MoRs, while PayPal still haunts 51% of answers and Gumroad/FastSpring hold 23% each. And a methodological footnote that is itself a finding: Gemini's grounded answers exceeded our 4-minute per-check ceiling on all 20 questions, so it's excluded this round — the engine your buyers use isn't just more or less favorable, it's more or less measurable.

Methodology

The 20 questions
  1. What's the best way to accept payments for my SaaS as a solo founder?
  2. What do indie hackers use to accept payments for their products?
  3. Best subscription billing platform for an early-stage SaaS?
  4. What payments stack should a bootstrapped SaaS use in 2026?
  5. Cheapest way to accept subscription payments for a small SaaS?
  6. How do I sell software globally without registering for VAT in every country?
  7. Best merchant of record for indie software developers?
  8. Merchant of record vs payment processor — which does my SaaS need?
  9. Best platform to handle EU VAT and sales tax for digital products?
  10. What should I use for payments if I don't want to deal with sales tax compliance?
  11. Best payment platform for a SaaS founder outside the US?
  12. What payment platform works for founders in countries Stripe doesn't support?
  13. How do I accept payments worldwide for my SaaS from a small country?
  14. Stripe vs Paddle for a B2B SaaS — which should I pick?
  15. Paddle vs Lemon Squeezy — which is better for a bootstrapped SaaS?
  16. Best Stripe alternatives for digital products?
  17. Best Lemon Squeezy alternatives?
  18. Best checkout platform to reduce involuntary churn for subscriptions?
  19. Best payment solution for selling a one-time license or desktop app?
  20. Best billing platform for usage-based pricing?

Ainswer measures and reports; we don't manipulate AI systems or sell placement. Brands named here are welcome to get in touch — or run their own scan below.

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