Content marketing works — but only when you know what's performing, what's missing, and what your audience actually wants to read. Most teams publish content and hope for the best. This recipe turns your content strategy into a data-driven engine that audits performance, researches opportunities, creates supporting assets, and promotes winners — using five integrations working together.
What You'll Need
- A WordPress site with published blog posts or pages
- Serper for search and competitor analysis
- Google Analytics 4 tracking your website
- OpenAI Image Generation for visual content
- Mailchimp for email list management
- All five integrations connected in Pipeworks
The Workflow
Audit existing content performance
The agent pulls all published posts from WordPress — titles, URLs, publish dates, categories, and word counts. It then cross-references each post with Google Analytics traffic data: page views, average time on page, bounce rate, and organic search traffic percentage. Posts are scored and sorted into three buckets: top performers (high traffic, low bounce), underperformers (low traffic despite being indexed for 30+ days), and decaying content (traffic declining month over month).
Research search landscape with Serper
For your top-performing posts, the agent checks current SERP rankings using Serper — are you on page one? Who's ranking above you? What featured snippets exist? For underperforming posts, it searches the target keyword to see what's ranking well and identifies gaps in your content compared to top results (word count, topics covered, content freshness). It also searches for topics related to your best content that you haven't written about yet, building a list of content opportunities.
Identify content gaps and keyword opportunities
The agent combines the WordPress content audit with Serper's search data to find opportunities: keywords where competitors rank but you don't, related topics your audience searches for, and existing posts that could rank higher with updates. It prioritizes opportunities by search volume, competition level, and relevance to your existing content clusters. This becomes your content roadmap.
Generate supporting visuals
For your highest-priority content pieces — both existing posts that need refreshing and new topics — the agent generates custom featured images and in-post graphics using OpenAI Image Generation. Each image is created with context from the article's topic, making it relevant rather than generic. The agent generates at a consistent style that matches your brand guidelines.
Update and publish optimized content
For underperforming posts, the agent updates the WordPress content with improvements identified in the research phase: expanded sections, updated statistics, better headings, and the new generated images. Updated posts get their publish date refreshed to signal freshness to search engines. For new content opportunities, the agent creates draft posts in WordPress with the generated images, suggested outlines, and target keywords pre-filled — ready for your team to review and publish.
Build and send a content digest email
The agent creates a Mailchimp campaign featuring your top-performing content from the past week or month. It selects the posts with the highest engagement from Google Analytics, writes compelling email copy for each, and includes the generated images. The campaign targets your subscriber list (or a specific segment interested in your content topics). This drives additional traffic to your best content and keeps your email list engaged with material that's already proven to resonate.
Generate a performance report
The agent produces a comprehensive content performance report showing: total organic traffic trend, top 10 posts by engagement, content gaps identified, posts updated, drafts created, and email campaign metrics from Mailchimp (open rate, click rate, subscriber growth). Each metric is compared to the previous period so you can see whether your content engine is accelerating or stalling.
What Happens
Your content operation stops being reactive ("we should probably blog more") and becomes a systematic engine. The agent handles the analysis, research, asset creation, publishing, and promotion — your team focuses on reviewing content quality and making editorial decisions. Over time, this creates a compounding effect: better content drives more traffic, which generates more data, which produces better insights for the next cycle.
Run the audit and research steps weekly, but only generate and publish content updates bi-weekly. This gives search engines time to re-index your updated content before you measure the impact.
Always review AI-generated content before publishing. The agent creates strong drafts and identifies the right topics, but your brand voice and factual accuracy should have a human checkpoint before going live.