Gatsby SEO automation
Coming Soon
Autonomous SEO for Gatsby
Gatsby's rich plugin ecosystem makes SEO configuration powerful — and complex. effectly.ai reads your gatsby-config, understands your plugin stack (gatsby-plugin-sitemap, gatsby-plugin-react-helmet, gatsby-plugin-image), and opens PRs with SEO improvements that respect your existing setup. Schema files, metadata, sitemap config — all committed through your Git workflow.
Gatsby SEO automation · Gatsby SEO tool · automated Gatsby SEO · Gatsby schema markup · static site SEO automation
How it works
01
Grant repo access
Connect with a fine-grained GitHub Personal Access Token (`contents:write` on your Gatsby repo). Same Git-native model as our Next.js and Netlify integrations — no CMS dashboard OAuth.
02
Gatsby config + plugin analysis
effectly.ai reads `gatsby-config.js` / `gatsby-config.ts`, maps your plugin stack (sitemap, helmet, MDX, image), and audits pages for missing meta, schema gaps, and sitemap coverage.
03
PRs to your repo
Changes land as branches and PRs: page-level metadata (`gatsby-head` or Helmet), `gatsby-plugin-sitemap` options, JSON-LD modules, MDX frontmatter, and GraphQL query updates when SEO fields are missing.
What effectly.ai writes
| Element | Example |
|---|---|
| SEO component props | react-helmet or gatsby-head title, meta, link, jsonLd |
| gatsby-config.js | gatsby-plugin-sitemap, metadata plugins, pathPrefix-aware options |
| MDX / Markdown | Frontmatter title, description, canonical, og:image |
| JSON-LD | Schema components or static JSON next to templates |
| GraphQL | Page queries extended with SEO fields from gatsby-node or sources |
PR diff: gatsby-config.js
Before
module.exports = {
plugins: [
`gatsby-plugin-react-helmet`,
`gatsby-plugin-sitemap`,
],
};After
module.exports = {
plugins: [
`gatsby-plugin-react-helmet`,
{
resolve: `gatsby-plugin-sitemap`,
options: {
exclude: [`/dev-404-page`, `/offline-plugin-app-shell-fallback/`],
},
},
],
};Plugin sprawl vs. PR-native SEO
Manual Gatsby SEO
- Metadata spread across Helmet, MDX, and plugin defaults — hard to audit
- Sitemap and schema config edited by hand when routes change
- No single PR workflow for every SEO fix
effectly.ai via Git
- One PR per change set — reviewable diffs, CI, preview deploys on your host
- Respects your existing plugins; updates config and components coherently
- MDX and GraphQL updates stay in sync with new routes and content
Get notified when Gatsby integration launches
Leave your email and we will let you know when Gatsby is available in the dashboard. No spam — one launch announcement.
Technical details
Auth & scope
Fine-grained GitHub token, `contents:write` on the repo only. Cannot access other repos or change GitHub org settings.
gatsby-head vs. react-helmet
On Gatsby 4+, `gatsby-head` exports are preferred for static metadata. Older sites using `gatsby-plugin-react-helmet` are supported — effectly.ai detects which pattern your pages use and writes matching code.
GraphQL data layer
When SEO fields should come from GraphQL (e.g. CMS-sourced title/description), effectly.ai can extend page queries and map fields into Helmet or `gatsby-head` — without bypassing Gatsby's build pipeline.
MDX & content
Blog and landing content in MDX/Markdown gets frontmatter updates for titles, descriptions, and canonicals. Existing authoring workflows stay intact.
Deploy targets
Your site may deploy to Netlify, Vercel, Cloudflare Pages, or self-hosted — effectly.ai only touches Git; your existing CI/CD and preview URLs apply. (Gatsby's former hosted product is not part of this flow.)
Safety
No production writes outside Git. Roll back with `git revert` like any other change.
FAQ
Should I use gatsby-head or react-helmet for new work?
For Gatsby 4 and later, `gatsby-head` is the recommended API for route-level metadata. effectly.ai supports both: it detects which API your templates already use and extends that pattern so you do not end up with duplicate or conflicting head tags.
Where does my site need to be hosted?
Anywhere you deploy a Gatsby build — Netlify, Vercel, Cloudflare Pages, AWS, etc. effectly.ai commits to your repository; hosting is unchanged.
How does effectly.ai handle the GraphQL data layer?
If SEO data lives in `gatsby-config` sources or page queries, effectly.ai can add or extend fields in queries and wire them into head components. It does not replace your content model — it augments it for search visibility.
Will you edit my MDX and Markdown files?
Yes, when frontmatter or body changes improve SEO (titles, descriptions, internal links). Structural MDX components are left alone unless a schema or meta pattern requires an update.
What about bulk redirects and edge rules?
Static redirects in `static/_redirects` or host config can be proposed as repo changes where applicable. Dashboard-only edge rules are flagged for manual setup — same approach as our Cloudflare and Netlify pages.