If you have ever wondered whether a Next.js app can compete seriously in Google search results, the answer is a clear yes. Next.js 15–16 gives you server side rendering ssr, static site generation ssg, and incremental static regeneration out of the box, producing fully rendered HTML that search engine crawlers can parse on first contact. Pair that with proper metadata, fast core web vitals, and clean structured data, and you have a framework that search engines love.
Search engines prioritize pages that deliver complete HTML quickly. Next.js pre-renders page content before it reaches the browser, so crawlers never have to wait for client-side JavaScript to paint the screen. Combine that with automatic image optimization, route-level automatic code splitting, and built-in support for the metadata api, and you get a stack engineered for search engine visibility.
Here are the concrete pillars of next.js seo success:
This js seo guide is written from the perspective of Sun Media Marketing, a digital marketing agency actively implementing Next.js search engine optimization for real clients across ecommerce, B2B SaaS, education, and professional services from 2024 through 2026. Expect practical code references, real-world case studies, and checklists you can copy directly into your js app.
By 2026, search engines will evaluate far more than content and backlinks. Core web vitals scores, structured data completeness, metadata accuracy, and crawlability all factor into how pages rank. Google’s AI Overviews now appear in roughly half of real-user queries, reshaping how users interact with search results. Sites that lack clear metadata and structured content risk losing visibility when AI summarizes answers instead of showing traditional organic listings.
It helps to distinguish between search engine optimization (organic) and paid SEM. Paid campaigns deliver immediate visibility; organic SEO builds compounding value over months and years. For SMBs and enterprises competing in international markets, long-term organic traffic translates to sustained lead generation, brand trust, and lower cost per acquisition.
A modern js app built on Next.js can be either a black box to crawlers (if it ships empty HTML and relies entirely on client-side rendering) or a best-in-class SEO asset (if it pre-renders content with strong metadata and fast performance). The difference is configuration, not capability.
Sun Media Marketing focuses on long-term, ROI-driven organic growth rather than short-term hacks. Our seo strategy for Next.js projects starts with technical fundamentals and extends into content, international routing, and ongoing measurement.
Traditional React setups, like those scaffolded with Create React App, rely on client-side rendering. The initial HTML delivered to search engine robots is often near-empty, with content injected only after JavaScript executes. If a crawler defers or fails to run that JavaScript, your page content simply does not exist in the index.
Next.js flips this model. Whether you choose SSR, SSG, or ISR, the framework renders full HTML on the server or at build time. Search engines crawl a complete document that includes headings, text, meta tags, images, and structured data on first request.
Core SEO-enabling features include:
Consider a product listing page. Built with CSR, the page ships a skeleton div and populates products via API calls after load. Search engines may index a blank page, and long-tail queries like “mid-size red running shoes in stock” never surface. Rebuild that same page with SSG and ISR in Next.js, and the full product grid, schema markup, and metadata are present in the HTML the moment a crawler arrives. Discovery of dynamic pages and long-tail ranking potential increase substantially.
Rendering strategy is one of the most consequential SEO decisions in a Next.js architecture. Next.js supports Server-Side Rendering (SSR), Static Site Generation (SSG), and Incremental Static Regeneration (ISR), and each has a clear use case.
SSR delivers up-to-date HTML for every request, ideal for dynamic content that must be indexed, such as dashboards, fast-changing inventory, or personalized B2B portals. Server-side rendering is suitable for highly dynamic data, but overusing it can inflate TTFB and hurt core web vital scores. Next.js provides server-side rendering and static site generation for optimization, so you can mix strategies within the same project.
SSG pre-renders pages at build time, serving static HTML from a CDN. This is the fastest option for crawlers and users alike. Blog posts, documentation, and service landing pages are natural fits. Benchmark studies show SSG can reduce LCP from roughly 1.34 seconds down to about 0.63 seconds compared to SSR under similar workloads.
ISR allows static pages to be updated incrementally without full rebuilds. Set a revalidation interval (or use on-demand revalidation), and Next.js regenerates the page in the background when the interval expires. This is ideal for large ecommerce catalogs and media archives where content changes but not every second.
All three produce indexable HTML. Next.js rendering methods improve SEO by providing fully rendered HTML to crawlers regardless of which strategy you choose. The trade-offs center on freshness, scalability, and infrastructure cost.
At Sun Media Marketing, we often recommend: SSG for blog posts, ISR for product and category pages, SSR only for truly real-time areas like logged-in dashboards. For international sites, SSG plus ISR per locale dramatically reduces build times compared to naive SSG-only approaches.
Next.js 15–16 supports both the app router and the Pages Router, but the App Router is the recommended path for new SEO-focused builds.
The Pages Router uses next/head and requires manual <Head> management for metadata. On large international sites, this approach gets brittle fast. Metadata can be missed on new pages, and there is no automatic merging or inheritance. Pages Router requires manual Head management for metadata, which increases the risk of duplicate or absent tags.
The app router centralizes metadata management in Next.js applications. You define a metadata object or use generateMetadata in layout and page files. Metadata merges from root layout through nested layouts to the page level, so defaults propagate automatically while specific pages override only what they need. App Router eliminates risks of missing metadata for crawlers by enforcing a hierarchy.
Performance also improves. App Router leverages React Server Components, keeping server-only code off the client bundle. App Router improves performance with smaller JavaScript bundles, which directly supports better core web vitals. Combined with automatic code splitting, client-side JavaScript drops meaningfully.
Both routers deliver fully rendered HTML to search engines. However, for new projects or phased migrations, we recommend the App Router. If you maintain a large legacy site on Pages Router, plan migration carefully: audit metadata consistency, canonical URLs, and xml sitemaps before switching architectures.
The app/layout.tsx file is the SEO nerve center of an App Router Next.js project. This is where you define global defaults that every page inherits.
Use export const metadata to set your default title template, global description, Open Graph and Twitter Card defaults, robots directives, alternates (canonical, languages), icons, and manifest metadata. The metadataBase property resolves relative urls into absolute ones, which is critical for social previews and structured data. Set metadataBase with https and no trailing slash to avoid broken OG image URLs.
An example root layout component might look like this in concept: export default function rootlayout wraps the html and body tags, applies global fonts, and hosts the metadata export. Next.js 16 introduced a Metadata API for easier management, separating viewport configuration (themeColor, mobile viewport) into its own export const viewport declaration.
The layout component serves as a single source of truth. Nested layouts and pages inherit these defaults and override only what differs, such as a unique page title or OG image.
Sun Media Marketing often creates shared utility functions (a buildMetadata helper, for instance) that enforce brand suffix in title templates, consistent default OG images, and canonical resolution across nested layouts. This keeps metadata predictable even when dozens of contributors add pages.
Every unique URL on your site should carry its own focused meta title, description, and canonical. Metadata should be unique for every URL to avoid duplication, and the metadata api makes this straightforward.
For simple static pages like /about or /services, use export const metadata directly in the page file. This is static metadata that Next.js reads at build time.
For dynamic routes such as /blog/[slug] or /product/[id], use export async function generatemetadata to fetch content from a database or CMS and construct metadata from actual content fields. This dynamic metadata approach keeps titles and descriptions in sync with the real H1 and intro paragraph of each page, eliminating drift between what users see and what search engines index.
Best practices for meta tags:
Canonical URL formation matters. Handle query parameters, pagination, and alternate language versions using the alternates property in the metadata object. For example, /en/blog/nextjs-seo and /de/blog/nextjs-seo should each declare a canonical and reference each other as language alternates to consolidate ranking signals.
Meta tags connect your Next.js HTML to both search engines and social platforms. Well-crafted tags determine how your pages appear in google search results and on feeds across LinkedIn, X, and Facebook.
Key properties to configure via the metadata object:
Using Open Graph and Twitter Cards enhances social sharing previews. Open Graph tags enhance link sharing on social media platforms, driving more clicks from social channels back to your site. A compelling OG image and description for a case study page, for instance, can increase social engagement and indirectly attract backlinks that strengthen seo performance.
Even when your search rankings stay the same, better meta descriptions and titles improve click-through rates. A well-written snippet is free advertising in the SERP.
Sun Media Marketing typically defines a high-quality default OG image in the root layout and then overrides it with unique creatives for critical landing pages, case studies, and blog posts. This ensures every shared link looks intentional, not generic.
JSON-LD structured data is machine-readable context embedded in your HTML that helps search engines understand entities, relationships, and content types. It tells search engines what a page represents, not just what it says. Structured data helps search engines understand your content better and unlocks rich snippets in search results.
Core schema types commonly implemented in Next.js SEO projects:
| Schema Type | Use Case | SEO Benefit |
| Organization / Website | Brand identity, site-wide | Sitelinks, knowledge panel |
| LocalBusiness | Clinics, offices, schools | Local pack, maps |
| Article / BlogPosting | Blog content, news | Article and BlogPosting schemas improve news results visibility |
| Product / Offer | Ecommerce | JSON-LD enables rich snippets and product cards in search results |
| FAQPage / HowTo | Guides, support | FAQPage schema surfaces accordion answers directly in search results |
| BreadcrumbList | Navigation | Breadcrumb trails in SERPs |
Embed JSON-LD via a script tag with type=”application/ld+json” inside server components or layouts. This ensures the data renders in the initial HTML that search engine crawlers receive. A simple pattern: export default function blogpost returns the article JSX and includes a script element with the serialized JSON-LD object.
Never fabricate aggregateRating or review data. Google’s guidelines are explicit, and fake schema can trigger manual actions that devastate rankings.
Sun Media Marketing validates all structured data using google’s rich results test and Search Console reports. We iteratively add new schema types based on client goals: FAQ schema for support hubs, Product schema for ecommerce catalogs.
Semantic html helps search engines understand content hierarchy. Combined with JSON-LD, it creates a powerful signal that guide search engines through your content.
Sitemaps list your important URLs, last modification dates, and priorities so search engines can discover and recrawl content efficiently. Next.js generates XML sitemaps automatically at /sitemap.xml when you use the App Router sitemap convention.
Create an app/sitemap.ts file (or .tsx) and use the MetadataRoute.Sitemap type. The function returns an array of URL objects, each with url, lastModified, changeFrequency, and priority. The pattern: export default function sitemap returns this array, combining static routes like /, /about, and /services/seo with dynamic data fetched from a CMS or database.
Dynamic sitemaps can fetch URLs from a CMS automatically. For a blog, query all published slugs; for ecommerce, pull product and category URLs from your database. Use lastmod to indicate when content was last updated, keeping timestamps accurate for pages refreshed via ISR or editorial workflow.
Best practices for xml sitemaps:
For ecommerce, consider a dynamic sitemap generation strategy where product and category pages are added when published via ISR and revalidated when inventory or pricing changes. You do not need the next sitemap package for this; the built-in convention in Next.js 15–16 handles it natively.
Robots.txt controls crawler access to your site. It is the gatekeeper that tells search engines which paths to crawl and which to skip, though it is not a security mechanism for hiding sensitive data.
Next.js allows dynamic generation of robots.txt using TypeScript. Create an app/robots.ts file using the MetadataRoute.Robots type. The function export default function robots returns an object specifying rules per user agent. This ts file can be environment-aware: allow crawling in production, disallow everything on staging or preview domains.
Use directives like Allow, Disallow, and Sitemap in robots.txt. Common rules include:
Do not block /_next/ or your CSS and javascript files. Doing so prevents search engine robots from rendering your pages, which harms indexing and can make your entire site invisible to crawlers.
Test your robots.txt file with Google Search Console after deployment. This validates that production rules match your intent and that no critical paths are accidentally blocked.
Sun Media Marketing often adds environment-detection logic to completely disallow crawling on non-production domains. This prevents duplicate indexation during development or QA cycles, a common but easily avoidable mistake. The txt file itself is small, but its impact on crawl behavior is significant.
Fast and user-friendly sites rank higher on search engines. Core Web Vitals metrics such as LCP and CLS influence search ranking directly, acting as tiebreakers when content relevance is similar across competing pages.
The thresholds that matter:
Next.js 15–16 delivers strong defaults for all three. Route-level automatic code splitting keeps per-page JavaScript lean. React Server Components run logic on the server without shipping that code to the client. The next/image component optimizes largest contentful paint images, and next/font eliminates cumulative layout shift caused by font swapping. Built-in caching for data fetches and HTML routes reduces repeated server work.
Next.js supports automatic code splitting to improve INP scores by ensuring only the interactive code relevant to the current route loads in the browser. Fewer bytes mean faster hydration and quicker response to user input.
Better LCP and stable layouts improve engagement metrics like bounce rate and time on page, indirectly supporting seo performance across your domain.
Monitoring site performance using tools like Lighthouse and Google PageSpeed Insights is essential. Use field data from CrUX or integrate the web-vitals library for real-user measurement in production.
Sun Media Marketing typically starts every Next.js SEO project with a performance baseline audit. We measure core web vitals before changing content or information architecture, so improvements are attributable and measurable.
Unoptimized hero banners and product photos are frequently the biggest drag on LCP and mobile search rankings. The import image pattern with next/image solves most of these problems by default.
Next.js automatically optimizes images for performance through the next/image component, which provides:
Next.js optimizes LCP using the Image component with priority prop. Apply priority to the hero image or above-the-fold product photo on critical landing pages so the browser preloads it immediately.
For remote images hosted on ecommerce CDNs or CMS platforms, configure allowed domains in next.config.js. Choose between fill mode (for flexible containers) and fixed dimensions depending on your layout needs.
Images should have descriptive alt text for better accessibility and search visibility. Write alt text that describes the image meaningfully: “team reviewing SEO analytics on a dashboard” rather than “image1.” Include relevant keywords where they fit naturally, but always write for humans first.
A simple pattern in a page file: export default function hero renders the hero section with a prioritized next/image component and descriptive alt text.
Heavy JavaScript bundles slow Time to Interactive and weaken core web vitals scores. Every kilobyte of unused JS the browser must parse is time stolen from rendering and interaction readiness.
Next.js automatically code-splits per route. When a user visits /blog/nextjs-seo-guide, only the JavaScript for that page loads, not the code for /products or /dashboard. Developers can optimize further with dynamic imports and next/dynamic for heavy components that are not needed on first paint.
The App Router and React Server Components take this further. Server-only logic (database queries, API calls, data transformations) never reaches the client bundle. Only components explicitly marked with “use client” ship interactive JavaScript to the browser.
A practical optimization pattern:
Sun Media Marketing routinely audits bundle composition on client projects. We identify third-party scripts that can be removed, deferred, or moved behind user consent to improve both performance and privacy compliance. The const page export in each route should include only what that page truly needs.
Creating clean, descriptive URLs improves SEO performance. Users and search engines both prefer readable paths that signal what a page contains.
Next.js file-based routing in the app directory makes SEO-friendly URLs straightforward. Your folder structure maps directly to URL paths: /services/seo, /blog/nextjs-seo-guide, /real-estate/ahmedabad/3-bhk-flats. No configuration needed.
Best practices for URL structure:
Canonical tags help prevent duplicate content issues with URLs. Use the metadata object and alternates.canonical to declare the authoritative version of each page. This consolidates ranking signals when the same content is accessible via multiple URLs.
A real-world example: /blog/nextjs-seo-guide, /blog/nextjs-seo-guide?ref=linkedin, and /blog/nextjs-seo-guide/ should all point to a single canonical target. Without this, search engines may split ranking signals across three separate URLs, weakening all of them. The metadataBase setting resolves relative urls into fully qualified canonicals so you avoid broken references.
Internal linking with descriptive anchor text further amplifies SEO signals. Link related guides to service pages and case studies to blog posts using natural, relevant anchor text.
Many Sun Media Marketing clients target multiple countries or languages, making international SEO a central use case for Next.js projects.
Next.js supports internationalization routing through domain-based or subfolder-based patterns (/en/, /de/, /hi/). Subfolder routing maps cleanly to SEO strategies because each locale gets its own URL namespace while sharing a single domain’s authority.
Define language and region alternates in the metadata object using alternates.languages. For dynamic routes, generateMetadata can build locale-specific alternates automatically by iterating over supported locales and constructing the appropriate paths. Integrate these alternates into your dynamic sitemap generation so crawlers discover every language variant with correct hreflang annotations.
For service businesses in cities like Ahmedabad, London, or New York, JSON-LD LocalBusiness schema with accurate address, geo coordinates, openingHours, and telephone strengthens local search presence and helps surface your business in map packs and local results.
Consider an educational institution with /en, /fr, and /de versions. Using SSG plus ISR per locale avoids the exponential build times that come with generating all locale variants statically at once. A multilingual sitemap lists each version and declares hreflang relationships, preventing cannibalization between language variants.
Sun Media Marketing regularly implements this pattern for clients targeting both Indian and international markets, ensuring each locale is independently optimized while sharing a common technical foundation.
SEO work is incomplete without continuous testing and monitoring after deployment. What you do not measure, you cannot improve.
A practical testing stack for Next.js projects:
Automated checks before merging code should validate:
Use Next.js’s web-vitals integration or a lightweight analytics solution to track LCP, INP, and CLS in production with real user data. Lab tools like Lighthouse give directional signals, but field metrics from actual visitors are what Google uses for ranking.
At Sun Media Marketing, SEO reports for Next.js clients include technical KPIs (crawl errors, core web vitals, indexation rates) alongside business metrics (organic sessions, leads, qualified conversions). This dual view ensures technical improvements connect to measurable business outcomes.
Think of this as a red-flag checklist for developers shipping js applications quickly.
| Mistake | Fix Pattern |
| Relying on CSR for SEO-critical content | Move to SSG or ISR; use export default function page with server-rendered data |
| Missing or duplicate meta tags | Use the metadata API hierarchy: root layout defaults, page-level overrides via generateMetadata |
| Misconfigured metadataBase or canonical URLs | Set metadataBase with https protocol, correct domain, no trailing slash |
| Blocking JavaScript or /_next/ in robots.txt | Remove Disallow rules for static assets; verify with Search Console |
| Unoptimized images causing poor Core Web Vitals | Use next/image with width, height, priority for LCP images, and descriptive alt text |
| No JSON-LD for eligible content | Add script type=”application/ld+json” in server components for Article, Product, FAQ |
Consider a before-and-after scenario. A blog built entirely with client-side rendering ships empty HTML. After migrating to SSG with full structured data, correct metadata, and an automated sitemap, the same blog sees substantially improved crawl coverage and organic session growth over three to six months. The js documentation for Next.js covers each of these APIs in detail for implementation reference.
Thorough QA before launch prevents months of lost organic traffic. This is especially true when migrating legacy sites to Next.js, where broken canonicals or missing metadata can silently tank rankings.
Most serious Next.js sites use a headless CMS for content management, making SEO fields part of editorial workflows rather than developer tasks.
Model SEO-specific fields directly in your CMS content types:
Integrate CMS content with generateMetadata to pull these fields at build time or request time. Your app/sitemap.ts can query the same CMS API to list all published URLs with accurate lastModified timestamps. When editors publish or update content, ISR or on-demand revalidation via webhooks refreshes the affected pages without a full rebuild.
This setup gives content teams control over search snippets and structured data without requiring code deployments. The page file for a blog post, for example, uses export default function page to render content and metadata pulled from the CMS, while developers control the technical implementation and schema validation.
A ts import of your CMS client in generateMetadata keeps the data-fetching pattern clean and consistent across dynamic routes.
Sun Media Marketing collaborates with internal marketing teams to define an SEO content model that works across languages and business units. Editors see previews per locale, and the content model includes fields for language alternates, ensuring nothing is lost between content creation and search indexation.
This is a composite case based on typical Sun Media Marketing engagements, illustrating patterns we have seen across multiple projects rather than a single named client.
Starting point: A legacy single-page application with client-side rendering. Mobile performance was poor, with LCP exceeding four seconds. No structured data existed, no sitemap was generated, and international traffic arrived but found no hreflang or localized URLs. Search engine crawlers received near-empty HTML.
Migration plan:
Outcomes: Crawl coverage improved to near-complete indexation. Mobile LCP dropped from approximately 4.2 seconds to around 0.8 seconds. Over several months, organic sessions grew meaningfully for long-tail product queries, and non-brand traffic share increased. Rich snippets (product ratings, breadcrumbs) began appearing in search results, improving click-through rates.
Lessons learned: Initial mapping of which pages use SSG vs ISR vs SSR is critical and should happen before writing any code. Image optimization often yields the fastest measurable wins. Metadata inconsistencies across locales are common and must be audited systematically.
These patterns apply directly to other verticals like real estate listings, healthcare provider directories, and B2B lead generation sites.
Even perfect technical seo in Next.js cannot compensate for thin or irrelevant content. Search engines rank pages, not frameworks.
Key on-page practices:
Structured sectioning matters. Short paragraphs, bullet lists, comparison tables, and FAQ blocks make pages more skimmable for users and more parseable for AI-driven search features. This formatting also increases the chance of earning rich snippets and featured answers.
Align topics with searcher intent. Informational queries (e.g., “how to implement seo in next.js”) map to guides and blog posts. Transactional queries (e.g., “hire next.js seo agency”) map to service pages. Navigational queries map to brand or product pages. Each intent type benefits from a different page template and metadata strategy within your Next.js routing.
Sun Media Marketing pairs technical Next.js seo implementation with keyword research and content roadmaps for long-term growth. For international and multi-vertical brands, this means planning content roll-outs per locale and measuring seo benefits per market over time.
Generative Engine Optimization, or GEO, means optimizing for AI-based search experiences that summarize and cite web content. As AI Overviews appear on an increasing share of google search queries, your content needs to be structured so AI systems can extract accurate facts and attribute them to your domain.
Clean HTML structure, explicit headings, and JSON-LD make your content easier for generative models to parse. When AI summarizes an answer from multiple sources, sites with clear metadata and well-organized content are more likely to be cited and linked.
Practical formatting for GEO:
A Next.js blog post or guide structured this way serves both traditional search engine results and generative features simultaneously. The same HTML that search engine crawlers index cleanly is the same HTML that AI models parse for summaries.
Sun Media Marketing treats GEO as an extension of strong SEO: structured data, clear copy, accurate metadata, and current information across international markets. There is no separate “GEO stack.” The fundamentals are identical, and dynamic data rendered server-side ensures AI systems always see fresh content.
Sun Media Marketing works as a partner for businesses using or migrating to Next.js who want sustainable organic growth, not temporary ranking spikes.
A typical engagement follows this sequence:
This approach works particularly well for ecommerce, professional services, education, healthcare, real estate, and B2B SaaS. All recommendations are data-driven, tracked via analytics and Search Console, and focused on measurable ROI rather than generic vanity metrics like raw keyword counts.
If you already have a js app running on Next.js, the highest-value starting point is a technical SEO audit. It uncovers the biggest quick wins (missing metadata, unoptimized images, broken canonicals) before you invest in large redesigns or content overhauls. Export default function layout patterns, sitemap conventions, and metadata structure can often be improved in days, not months.
Next.js provides the technical foundation: SSR, SSG, ISR, the metadata api, automatic image optimization, and automatic code splitting. But the framework alone does not rank pages. Success depends on intentional seo implementation.
Five actions you can take this week:
Adopt an iterative mindset. Ship improvements, measure their impact on search rankings and organic traffic, then refine content, internal links, and performance over time. SEO compounds; small consistent improvements outperform occasional large overhauls.
If you want to explore more SEO and digital strategy resources, Sun Media Marketing publishes regular guides on search engine optimization, international SEO, and performance-driven growth. If you need expert support for your Next.js based website’s marketing, reach out to discuss a tailored plan built around your business goals and target markets.
Yes, Next.js is highly suitable for SEO because it can generate fully rendered HTML pages that search engines can easily crawl and understand. Features like server-side rendering, static generation, optimized performance, and structured metadata help websites achieve better visibility in search results.
Traditional React websites often depend on the browser to load and display content using JavaScript. Next.js can deliver pre-rendered pages with complete content, headings, metadata, and structured information, making it easier for search engines to discover and index pages.
The best rendering method depends on your website requirements. Static generation works well for blogs and service pages, incremental regeneration is useful for ecommerce and frequently updated content, while server-side rendering is suitable for pages that need real-time information.
Next.js provides built-in tools to manage important SEO elements such as page titles, descriptions, canonical URLs, social sharing information, and search engine instructions. Proper metadata helps search engines understand your pages and improves how your content appears in search results.
Yes, Next.js supports automated sitemap and robots.txt generation. These files help search engines discover important pages, understand website structure, and follow the correct crawling instructions.
Structured data helps search engines understand the context of your content, such as articles, products, businesses, and FAQs. Adding the right schema markup can improve your chances of appearing with enhanced search results like rich snippets.
Yes, Next.js includes several performance features that help improve loading speed and user experience. Faster page delivery, efficient code management, optimized assets, and reduced browser workload can positively impact Core Web Vitals and SEO performance.
Images should be properly compressed, served in modern formats, and sized correctly for different devices. Adding meaningful alternative text and ensuring important images load quickly can improve both user experience and search visibility.
The App Router is generally recommended for new Next.js projects because it provides a more organized approach to managing page structure, metadata, and performance. However, websites using the Pages Router can still achieve strong SEO with proper optimization.
Common mistakes include missing metadata, slow-loading pages, poor URL structures, incorrect canonical settings, lack of structured data, blocking important resources from search engines, and ignoring website performance improvements. Regular SEO audits can help identify and fix these issues.
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