How I built a 6-CTA landing page generator with Next.js 16 + AI
The article discusses the creation of a landing page generator called PageStrike using Next.js 16 and AI. It focuses on modeling conversion intent as a primary feature, allowing users to generate landing pages for various conversion types without complicating the codebase. The author highlights the challenges of existing landing page builders and presents a streamlined solution for diverse business needs.
- ▪PageStrike allows for the creation of landing pages with six distinct conversion modes.
- ▪The generator treats conversion intent as a first-class primitive, simplifying the process of generating pages.
- ▪The author aims to eliminate the need for multiple tools by integrating various conversion methods into a single platform.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/youssefroop/how-i-built-a-6-cta-landing-page-generator-with-nextjs-16-ai-25ng |
| Publication time | Mon, 18 May 2026 00:02:22 +0000 |
| Retrieval time | 2026-05-18T00:33:21.159Z |
| Last seen | 2026-05-18T00:33:21.159Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | QDV9mazpA1I9 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936949) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Youssefroop Posted on May 18 How I built a 6-CTA landing page generator with Next.js 16 + AI #buildinpublic #nextjs #saas #ai TL;DR — I built a landing page generator with 6 distinct conversion modes that share one form, one AI prompt, and one backend. The trick wasn't the AI part.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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