Content Generation Checklist for SaaS & Startups

Document who you write for and the jobs they hire your product to do, then tie each content type to funnel stages and activation goals.

Plan topics against product release dates, onboarding milestones, and seasonal demand so content amplifies launches and feature adoption.

Maintain a concise style guide with approved terms, banned phrases, tone sliders, and example paragraphs that templates can reference.

Group keyword themes into pillar and cluster pages, then predefine internal link anchors so generated content reinforces topical authority.

List acceptable proof standards for performance claims, regions with stricter rules, and required citations to reduce legal review cycles.

Define pass-fail rubrics for accuracy, uniqueness, links, reading level, and CTA alignment so automation can gatekeep before publish.

Keep specs, positioning, pricing, and onboarding flows in Notion or Confluence with stable URLs that retrieval steps can query.

Index your API definitions so prompts can pull real parameter names, rate limits, and error codes for doc-quality outputs.

Emit machine-readable release notes from Git tags or PR labels to trigger fresh content around new features automatically.

Store vetted metrics, quotes, and ROI deltas with source links so generated narratives include credible outcomes and references.

Summarize differentiators and trapdoors to steer content away from weak angles and toward defensible strengths.

Use a vector store like Pinecone or Weaviate with tags for product, industry, and region so prompts fetch only relevant snippets.

Parameterize audience, product capability, CTA, and knowledge references, and keep temperature at 0 for reproducible outputs.

Store prompts, few-shot examples, and instructions in Git with semantic versioning so you can track performance regressions.

Enforce JSON or Markdown section schemas with keys for title, summary, H2s, links, and CTA so downstream automation never guesses.

Build reusable templates for product updates, integration pages, onboarding guides, and comparison posts to speed iteration.

Keep small test inputs and expected outputs to regression-test prompts with each change and model upgrade.

Choose models by task class, context window, latency, and cost, and record default settings like top_p and max tokens per template.

Use GitHub Actions or GitLab CI to run generation, schema validation, and QA checks on pull requests before CMS publish.

Fire generation jobs from merged PR labels, new API versions, or analytics thresholds to keep content fresh and timely.

Send previews to Slack with Approve/Request Changes buttons, then auto-create CMS drafts on approval for rapid flow.

Strip emails, tokens, and internal IDs before prompts, and use a vault for API keys to stay compliant and prevent leaks.

Publish structured fields to Contentful, Sanity, or Strapi via API, and attach images, alt text, and canonical URLs in one pass.

Record prompt version, model, inputs, retrieval docs, latency, and token spend to diagnose failures and optimize budgets.

Require inline citations and verify each claim against indexed docs, failing builds if sources are missing or mismatched.

Apply custom linters for banned phrases, passive voice thresholds, and brand voice rules using a pre-commit hook.

Check title length, meta descriptions, H-tag hierarchy, schema.org markup, and internal links against topic cluster rules.

Verify color contrast for images, alt text presence, and grade-level targets to improve reach and reduce support load.

Flag risky words like guarantee and absolute numbers without sources, and route region-specific content to legal review.

Use pseudo-localization, terminology glossaries, and hard-coded variable scanning to prevent breakage in translated pages.

Standardize campaign, source, and content UTMs and auto-append them in generated CTAs to attribute pipeline properly.

Auto-generate channel-specific snippets for LinkedIn, X, Product Hunt, and community posts with posting windows and rate limits.

Create two variants per asset and route half of traffic via server-side flags or CMS experiments to learn what converts.

Emit events for article_viewed, btn_clicked, and doc_copied via Segment or PostHog, mapping to GA4 conversions.

Build Looker or Metabase boards showing velocity, time to publish, organic lift, and influenced pipeline by content type.

Collect content gaps and objections through a simple form, triage weekly, and feed prioritization back into the roadmap.