The AI-Recommended App Stack, 2026: Every Engine Says Next.js, Supabase, Vercel and Stripe

AI search teardown · data from 2026-10-02 · 7 min read

More and more apps start with a question to an AI: what should I build this with? We asked ChatGPT, Claude, Gemini, Perplexity and Grok 5 versions of it, 3 times each: 75 answers. They don’t give you a menu. They give you the same four products, and on the rest of the stack they disagree in ways worth knowing.

Three Findings, Up Front

• There is one default stack. Next.js, Supabase, Vercel and Stripe were named together in 51 of 75 answers (68%). Asked directly what stack to use, 42 of 45 answers named all four.
• Engines barely push their own models. Asked what to build an AI app with, Gemini named OpenAI and Claude in all 3 answers and Gemini in none. Grok never named Grok. Only ChatGPT leaned home: OpenAI 3 of 3, Anthropic 1.
• ChatGPT leaves out the AI builders. It named Lovable, Bolt, v0, Cursor or a similar tool in 1 of 15 answers. Gemini named one in 11, Grok in 9.

The Stack Each Engine Would Build You

For every layer of an app, the product each engine named most often, out of its 15 answers. Read across a row to see where the engines agree; read down a column for one engine’s whole stack.

The top four rows are close to unanimous. Supabase is the database in every column, and it is often the auth too: 25 answers say “Supabase Auth” in so many words, so the Auth row shows the dedicated services the engines name next to it. ChatGPT’s answer for a solo founder is the stack in one line:

The Layers Below the Line

The further down the stack, the thinner the consensus. Resend is the email default, as it was in our email API teardown, but it was named in only 43% of answers to these open questions. Analytics and error monitoring are left out more often still: PostHog was named in 39% of answers (Claude: 1 of 15), Sentry in 25% (Gemini: 0). If you sell monitoring, the engines aren’t recommending against you. They mostly don’t get that far.

Hosting has a long tail behind Vercel: Railway (17 answers), Cloudflare (14), Fly.io (13) and Render (about 11, counted by hand). Payments has one quirk: Gemini named Lemon Squeezy in 12 of its 15 answers, as the merchant of record that handles sales tax. ChatGPT, Claude and Perplexity named it in none of theirs.

The LLM Layer: No Home Cooking

We expected each engine to favour its own maker. It didn’t. On the question about building an AI app (3 answers per engine), these are the answers naming each model maker, counting model names like Claude and GPT-4o. (ChatGPT tags the links in its answers with “utm_source=openai”; we don’t count that as naming OpenAI.)

OpenAI and Anthropic are the default pair. Gemini, asked the question, recommended the competition:

Note the model names. Of the 8 answers that named a specific model, 7 named a 2024-era one: GPT-4o, GPT-4o-mini, Claude 3.5 Sonnet. The engines recommend the right companies and the wrong versions, probably because many of the pages they read were written then. Perplexity named no model maker at all on this question.

How You Build It Depends on Who You Ask

Ask “what are the best ways to build an app” and the engines split. Gemini, Grok and Perplexity send you to AI builders and AI coding tools:

ChatGPT almost never does (1 of 15), and Claude names the older no-code tools instead (4 of 15):

Perplexity folds the AI tools straight into its stack:

Who Wrote the Pages the Engines Read

As in the email teardown, the most cited sites are vendors’ blogs, not documentation. appypie.com, an app builder, was cited in 9 answers. mindstudio.ai, an AI agent platform, in 7. makerkit.dev, which sells a Next.js and Supabase starter kit, in 11, including its own post on the 2026 SaaS stack.

One caveat on this table: Perplexity returned 396 of the run’s 807 cited links, so it is mostly Perplexity’s reading list (including a Finnish broadcaster’s topic pages, which have nothing to do with apps). ChatGPT cited only 28 links in all 15 answers, 9 of them on nextjs.org.

What This Means If You Sell to Builders

• Integrate with the default, don’t fight it. If 68% of answers start from Next.js, Supabase, Vercel and Stripe, the question builders ask next is “what works with that stack.” Have the page that answers it.
• Starter kits write the stack. A boilerplate vendor’s post on the 2026 SaaS stack is a source the engines read. Being in the kits, and in their posts, puts you in the answer.
• The lower layers are open. Analytics, monitoring and email are named in a minority of answers. Nobody owns them yet in AI answers, which makes them cheaper to win than the top four.
• Check each engine on its own. Gemini’s Lemon Squeezy and ChatGPT’s silence on AI builders vanish in a blended number.

Disclosure: openllmrank is built on the default stack in this post: Next.js, Supabase (database and auth), Vercel (hosting and Vercel Analytics) and Stripe. It sends email through Postmark, calls the OpenAI, Anthropic, Google, Perplexity and xAI APIs, and sells the kind of AI-visibility measurement used in this post.

Frequently Asked Questions