Engineering

Contentful AI SEO Automation

Turn search opportunities into structured Contentful entries with automated research, drafting, quality checks, editorial review, and performance feedback.

Investment
$10,000 fixed fee
Ongoing
Delivery

Trusted by teams shipping at scale

Drybar
Cuisinart
Conair
Revlon
Belkin
Beautiful
CruxGG
Joshua Tree Coffee
Mary's Gone Crackers
AMI Clubwear
Revitalash
Soil3
Capabilities

What we deliver

Every Contentful AI SEO Automation engagement bundles these capabilities by default. We tune the depth of each to fit your scope.

01 / 06

SEO opportunity and content-gap discovery

Included
02 / 06

Structured briefs mapped to Contentful content types

Included
03 / 06

Brand-trained drafting and localized variants

Included
04 / 06

App Framework review and optimization tools

Included
05 / 06

Workflow, validation, and scheduled publishing

Included
06 / 06

Search performance reporting and refresh queues

Included
Engagement

How we build Contentful AI SEO Automation

A repeatable four-phase engagement. Same rigor every time, scoped to the work in front of us.

Phase 01
Week 1-2

Discover

We map the current state, surface constraints, and lock the scope before any code is written. You leave the phase with a written success definition.

  • Audit document
  • Success criteria
  • Risk register
Phase 02
Week 2-3

Architect

We pick the stack, design the data model, and prove the riskiest path first. Architecture decisions are reviewed with your team before build starts.

  • Architecture doc
  • Stack decision record
  • Spike on riskiest path
Phase 03
Week 3-10

Build

Iterative delivery in weekly increments. You see working software every Friday, can redirect priorities each Monday, and never wait six weeks for a demo.

  • Weekly demo cadence
  • Production-ready code
  • CI/CD + tests
Phase 04
Week 10+

Operate

We ship with observability, hand off runbooks, and stay accountable post-launch. 30-day hypercare is included on every engagement.

  • Monitoring dashboards
  • Operational runbooks
  • 30-day hypercare
Deep dive

The full breakdown

Architecture, decisions, and the operational details behind every Contentful AI SEO Automation engagement. Skim with the table of contents, or read straight through.

contentful-seo-content-automation.brief.md

SEO Automation Inside the Editorial Workflow

The system connects search opportunity discovery to the structured content your team already manages in Contentful. Instead of exporting keywords into spreadsheets and copying drafts between tools, editors receive review-ready entries with sources, recommendations, and validation in context.

From Opportunity to Structured Entry

The workflow:

  1. Groups search demand, content gaps, and existing performance into prioritized topics.
  2. Builds a structured brief with audience, intent, required questions, entities, evidence, and internal links.
  3. Maps each section to your Contentful content types, fields, components, references, and locales.
  4. Drafts against brand, factual, legal, and structural rules.
  5. Runs quality checks before moving the entry into editorial review.
  6. Publishes or schedules approved content through the established Contentful workflow.

Editor Experience

Contentful's App Framework allows the automation to live inside the editorial interface. A custom sidebar or page can expose:

  • Source material and evidence
  • Brief coverage and missing sections
  • Metadata and internal-link recommendations
  • Brand and readability checks
  • Revision requests and regeneration controls
  • Search performance after publication

Editors keep ownership of the entry and publishing decision.

Structured Content, Not Generated Blobs

Automation writes to the real model: headlines, summaries, sections, FAQs, authors, taxonomies, media, calls to action, metadata, and references. Structured output remains reusable across web, app, email, and localized experiences.

The Performance Feedback Loop

Published URLs are monitored for clicks, impressions, click-through rate, position, and freshness. That data creates an accountable refresh queue so the system improves existing content instead of focusing only on net-new volume.

End of brief
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Scope

Included in every engagement

scope_of_work.md
6 items
  1. 01

    SEO-ready Contentful content model

  2. 02

    Research, brief, and drafting automation

  3. 03

    Editor sidebar or full-page review app

  4. 04

    Validation and approval workflow

  5. 05

    Publishing and scheduling integration

  6. 06

    Performance dashboard and operating playbook

Stack

Technology

The tools and platforms we deploy on every Contentful AI SEO Automation engagement.

stack.json
Commerce 4
ContentfulContentful App FrameworkContentful Management APIContentful Automations
Languages 3
TypeScriptPythonGraphQL
Frameworks 1
React
Tooling 1
Node.js
Models 2
OpenAIAnthropic
SEO & Analytics 2
Google Search ConsoleAhrefs
CI/CD 1
GitHub Actions
FAQ

Common questions

Everything you need to know before starting a project with us.

Yes. It creates or updates structured entries through Contentful's management APIs while respecting content types, locales, references, validations, versioning, and editorial workflow state.

Yes. We can add an App Framework sidebar, entry editor, dialog, or full-page application that shows source evidence, checks, recommendations, and revision controls inside the Contentful interface.

Yes. The workflow can create locale-aware briefs and drafts, route them to regional reviewers, and keep shared references and market-specific fields aligned.

Search performance and content freshness signals feed a refresh queue. Editors can prioritize entries losing visibility, missing intent coverage, or needing updated facts and internal links.

Ready to build Contentful AI SEO Automation?

Tell us what you're working on. We'll map the architecture and ship it.

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