Implement comprehensive SEO strategies in Next.js with Google Antigravity including metadata structured data and performance
# Next.js SEO Optimization Patterns for Google Antigravity
Search engine optimization is crucial for discoverability. This guide establishes SEO patterns for Next.js applications with Google Antigravity, enabling Gemini 3 to generate well-optimized pages with proper metadata, structured data, and performance considerations.
## Metadata Configuration
Implement comprehensive metadata:
```typescript
// app/layout.tsx
import { Metadata } from "next";
export const metadata: Metadata = {
metadataBase: new URL(process.env.NEXT_PUBLIC_APP_URL!),
title: {
template: "%s | My Application",
default: "My Application - Build Something Amazing",
},
description: "The best platform for building modern web applications.",
keywords: ["web development", "Next.js", "React", "TypeScript"],
authors: [{ name: "Your Company" }],
creator: "Your Company",
publisher: "Your Company",
robots: {
index: true,
follow: true,
googleBot: {
index: true,
follow: true,
"max-video-preview": -1,
"max-image-preview": "large",
"max-snippet": -1,
},
},
openGraph: {
type: "website",
locale: "en_US",
url: process.env.NEXT_PUBLIC_APP_URL,
siteName: "My Application",
images: [
{
url: "/og-image.png",
width: 1200,
height: 630,
alt: "My Application",
},
],
},
twitter: {
card: "summary_large_image",
creator: "@yourhandle",
images: ["/twitter-image.png"],
},
verification: {
google: process.env.GOOGLE_SITE_VERIFICATION,
},
alternates: {
canonical: process.env.NEXT_PUBLIC_APP_URL,
},
};
```
## Dynamic Page Metadata
Generate metadata for dynamic pages:
```typescript
// app/blog/[slug]/page.tsx
import { Metadata } from "next";
import { notFound } from "next/navigation";
import { getPostBySlug, getAllPosts } from "@/lib/posts";
type Props = {
params: { slug: string };
};
export async function generateMetadata({ params }: Props): Promise<Metadata> {
const post = await getPostBySlug(params.slug);
if (!post) return {};
const ogImage = post.coverImage || "/og-default.png";
return {
title: post.title,
description: post.excerpt,
authors: [{ name: post.author.name }],
openGraph: {
title: post.title,
description: post.excerpt,
type: "article",
publishedTime: post.publishedAt,
modifiedTime: post.updatedAt,
authors: [post.author.name],
images: [
{
url: ogImage,
width: 1200,
height: 630,
alt: post.title,
},
],
},
twitter: {
card: "summary_large_image",
title: post.title,
description: post.excerpt,
images: [ogImage],
},
alternates: {
canonical: `/blog/${params.slug}`,
},
};
}
export async function generateStaticParams() {
const posts = await getAllPosts();
return posts.map((post) => ({ slug: post.slug }));
}
export default async function BlogPost({ params }: Props) {
const post = await getPostBySlug(params.slug);
if (!post) notFound();
return <article>{/* Post content */}</article>;
}
```
## Structured Data (JSON-LD)
Add structured data for rich snippets:
```typescript
// components/StructuredData.tsx
export function ArticleStructuredData({
post,
}: {
post: { title: string; excerpt: string; publishedAt: string; author: { name: string }; coverImage: string };
}) {
const structuredData = {
"@context": "https://schema.org",
"@type": "Article",
headline: post.title,
description: post.excerpt,
image: post.coverImage,
datePublished: post.publishedAt,
author: {
"@type": "Person",
name: post.author.name,
},
publisher: {
"@type": "Organization",
name: "My Application",
logo: {
"@type": "ImageObject",
url: `${process.env.NEXT_PUBLIC_APP_URL}/logo.png`,
},
},
};
return (
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(structuredData) }}
/>
);
}
export function BreadcrumbStructuredData({
items,
}: {
items: Array<{ name: string; url: string }>;
}) {
const structuredData = {
"@context": "https://schema.org",
"@type": "BreadcrumbList",
itemListElement: items.map((item, index) => ({
"@type": "ListItem",
position: index + 1,
name: item.name,
item: `${process.env.NEXT_PUBLIC_APP_URL}${item.url}`,
})),
};
return (
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(structuredData) }}
/>
);
}
export function FAQStructuredData({
faqs,
}: {
faqs: Array<{ question: string; answer: string }>;
}) {
const structuredData = {
"@context": "https://schema.org",
"@type": "FAQPage",
mainEntity: faqs.map((faq) => ({
"@type": "Question",
name: faq.question,
acceptedAnswer: {
"@type": "Answer",
text: faq.answer,
},
})),
};
return (
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(structuredData) }}
/>
);
}
```
## Sitemap Generation
Generate dynamic sitemaps:
```typescript
// app/sitemap.ts
import { MetadataRoute } from "next";
import { getAllPosts } from "@/lib/posts";
import { getAllProducts } from "@/lib/products";
export default async function sitemap(): Promise<MetadataRoute.Sitemap> {
const baseUrl = process.env.NEXT_PUBLIC_APP_URL!;
// Static pages
const staticPages = [
{ url: baseUrl, lastModified: new Date(), changeFrequency: "daily" as const, priority: 1 },
{ url: `${baseUrl}/about`, lastModified: new Date(), changeFrequency: "monthly" as const, priority: 0.8 },
{ url: `${baseUrl}/contact`, lastModified: new Date(), changeFrequency: "monthly" as const, priority: 0.5 },
];
// Dynamic blog posts
const posts = await getAllPosts();
const blogPages = posts.map((post) => ({
url: `${baseUrl}/blog/${post.slug}`,
lastModified: new Date(post.updatedAt),
changeFrequency: "weekly" as const,
priority: 0.7,
}));
// Dynamic products
const products = await getAllProducts();
const productPages = products.map((product) => ({
url: `${baseUrl}/products/${product.slug}`,
lastModified: new Date(product.updatedAt),
changeFrequency: "daily" as const,
priority: 0.9,
}));
return [...staticPages, ...blogPages, ...productPages];
}
```
## Best Practices
1. **Metadata templates**: Use title templates for consistency
2. **Structured data**: Add JSON-LD for rich search results
3. **Dynamic sitemaps**: Auto-generate from content
4. **Canonical URLs**: Prevent duplicate content issues
5. **Performance**: Optimize Core Web VitalsThis SEO prompt is ideal for developers working on:
By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their seo implementations.
Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.
This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.
You can modify the prompt by adding specific requirements, constraints, or preferences. For SEO projects, consider mentioning your framework version, coding style, and any specific libraries you're using.