Sanity AI Content Automation Pipeline

A Content Operation, Not a Bulk Text Generator

This package turns a repeatable content workflow into production software centered on Sanity. It identifies approved opportunities, gathers source material, creates a structured brief, drafts against your brand rules, runs deterministic and AI-assisted checks, routes exceptions into Sanity Studio, and publishes structured content through the Content Lake.

The objective is consistent, useful content with a visible audit trail—not a folder full of unreviewed drafts.

The $10,000 Fixed-Fee Build

The implementation is delivered in four to six weeks and includes:

1. Workflow discovery — We define the content type, audience, source systems, review rules, publishing destination, and success measures.
2. Research and brief generation — The pipeline turns source material and search intent into a structured brief with required facts, questions, entities, and internal-link targets.
3. Drafting and quality gates — Models generate against a versioned brand system, then pass through factual, structural, duplication, and policy checks.
4. Sanity Studio review and publishing — Editors approve, reject, or request revision inside a tailored Studio workspace. Approved content preserves Portable Text, references, metadata, and attribution.
5. Deployment and handoff — We deploy the workflow, configure monitoring, document the system, and train the team operating it.

The standard package covers one primary content workflow, one Sanity project and dataset, and the schemas required for that workflow. We define those boundaries during kickoff so the fixed fee stays fixed.

$1,000 Per Month Maintenance

The ongoing plan keeps the production system reliable as models, APIs, source formats, and search behavior change. It includes:

• Pipeline monitoring and failed-run recovery
• Provider, model, dependency, and security updates
• Prompt, brand-rule, and quality-threshold tuning
• Minor connector and workflow adjustments
• Monthly output and organic-performance review
• Prioritized support for production incidents

New content products, additional Sanity datasets or destinations, and major source integrations are scoped separately.

Stat Sniper Case Study

10,000 Organic Clicks and 1M Impressions Per Month

Stat Sniper is an AI sports analytics product spanning real-time scores and odds, prop research, AI-assisted analysis, and community features. Its subject matter changes daily across leagues, teams, players, injuries, matchups, and markets—exactly the kind of content environment where a manual-only operation struggles to maintain coverage and freshness.

Contra Collective's content pipeline turned structured topics and approved source material into a repeatable research, drafting, review, internal-linking, and publishing workflow. Automation handled the mechanical work while quality gates and editorial review protected usefulness and accuracy.

Google Search Console recorded 9.58K organic clicks and 1.02M impressions in 28 days, with a 0.9% click-through rate and an average position of 8.1. Rounded to the operating headline, the pipeline now drives roughly 10,000 clicks and one million search impressions per month.

The important result is not publishing volume by itself. The system created a compounding search footprint that can be monitored, improved, and extended as Stat Sniper adds sports, features, and new content opportunities.

What the Pipeline Can Produce

The same architecture can support:

• Search-led articles and knowledge hubs
• Product descriptions and category copy
• Comparison, integration, and use-case pages
• Location and market-specific landing pages
• Release notes, documentation, and help-center content
• Email, social, and sales enablement derivatives from approved source content

Every output type receives its own schema, evidence requirements, quality thresholds, and approval policy.