Next.js SEO automation

Autonomous SEO for Next.js + Vercel

Your Next.js site lives in Git. So does effectly.ai's SEO work. Via a fine-grained GitHub token, effectly.ai clones your repo, creates a branch, commits metadata.ts changes, sitemap.ts updates, schema JSON-LD files, and robots.txt improvements — then opens a PR. Your CI runs Lighthouse and schema validation. If all checks pass, it auto-merges. Production is never touched until code review is complete.

Next.js SEO automation · Vercel SEO automation · Next.js metadata automation · automated SEO Next.js · Next.js schema markup automation · Git-based SEO

Få tidig tillgång

How it works

Grant repo access

Create a fine-grained GitHub Personal Access Token with `contents:write` on your Next.js repo only. No org-level access. effectly.ai never sees your other repos.

Code-aware audit

AI agents read your Next.js App Router structure, find pages missing `metadata` exports, identify `generateMetadata` gaps, check `sitemap.ts` coverage, validate schema files, and flag performance issues.

PR-based writes

effectly.ai creates a branch, commits changes with descriptive messages, opens a PR with before/after diffs and expected score delta. Your CI pipeline (Vercel Preview → Lighthouse → Schema Validation) runs automatically. Auto-merge on all-green, or human review.

What effectly.ai writes

Element	Example
metadata.ts	title, description, openGraph, twitter exports per route
generateMetadata	Dynamic metadata functions for parameterized routes
sitemap.ts	New URL entries, priority adjustments, changefreq updates
robots.ts	Crawl directives, sitemap references
Schema files	schema.ts or JSON-LD components per route
Hreflang config	alternates.languages in metadata exports
Structured data components	Reusable JsonLd components for Article, FAQ, Product
next.config.js	Redirect rules, header configs (non-destructive only)

PR diff: app/blog/metadata.ts

Before

export const metadata = {
  title: "Blog",
};

After

export const metadata = {
  title: "Blog — Acme | B2B SEO that ships",
  description:
    "Native metadata, sitemap, and schema from Git. PR-reviewed.",
  openGraph: {
    title: "Blog — Acme",
    description: "Native metadata from effectly.ai PRs.",
  },
};

Manual workflow vs. Git + CI

Manual Next.js SEO workflow

Developer manually updates metadata.ts per page
Schema markup forgotten on new routes
sitemap.ts out of sync after content updates
No automated Lighthouse regression testing

effectly.ai via Git + CI

PRs opened automatically with metadata changes
Schema files generated per route — never forgotten
sitemap.ts stays in sync with every route
Vercel Preview + Lighthouse CI validates before merge

Technical details

Auth method

Fine-grained GitHub Personal Access Token, `contents:write` on target repo only.

Permission scope

No org access. Cannot see other repos. Cannot modify GitHub Actions, branch protection, or collaborators.

Flow

Clone → branch (`seo/[date]-[description]`) → commit → PR → CI → auto-merge (if configured).

What Claude reads

All source files in repo (App Router structure, metadata exports, config files, schema files).

What Claude writes

metadata.ts, generateMetadata functions, sitemap.ts, robots.ts, schema files, next.config.js (redirects only), new page files.

Safety

Production is never modified directly. Every change goes through PR → CI → merge. Vercel Preview Deployment validates before production deploy.

Rollback

Git revert. One-click from effectly.ai dashboard triggers a revert commit → PR → auto-merge.

FAQ

Does effectly.ai understand the Next.js App Router?

Yes. effectly.ai reads your `app/` directory structure, understands route groups, layout nesting, and the difference between `metadata` objects and `generateMetadata` functions. It generates the correct pattern for each route.

Can effectly.ai work with the Pages Router?

Yes. For Pages Router projects, effectly.ai writes to `next-seo` config or generates `<Head>` component updates. App Router is the primary target, but Pages Router is supported.

What happens if the PR breaks my build?

The PR runs your existing CI pipeline (Vercel Preview, tests, Lighthouse). If any check fails, the PR stays open for your review — it never auto-merges on a failed build. effectly.ai's dashboard shows the failure reason and can attempt a fix in a follow-up commit.

Can effectly.ai create new pages, or only modify existing ones?

Both. effectly.ai can create new route directories with `page.tsx`, `metadata.ts`, and `schema.ts` files for content gap opportunities. New page creation always requires human approval, even in autopilot mode.

Does this work with monorepos?

Yes. Point the GitHub token at the specific repo and specify the app directory path (e.g., `apps/web/`) during setup. effectly.ai scopes all operations to that directory.

Is this the safest integration model?

Yes. Git + CI is the safest model effectly.ai offers. Production is never touched directly. Every change has a full audit trail in Git. Your CI validates before deploy. Rollback is a `git revert`. This is the model enterprise engineering teams prefer.