meta-gen
Self-improving SEO meta description generator
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About this project
Meta descriptions are set-and-forget. You write them once, deploy, and never look at them again. meta-gen changes that — it creates a self-improving flywheel that makes your meta descriptions measurably better over time, automatically.
Live Dashboard
Real-time performance data from the meta-gen project
How it works
Feedback
Collects click-through rate data from Google Search Console. Identifies which descriptions are underperforming and which are driving clicks.
Learn
Analyzes high-performing descriptions to find patterns that correlate with clicks. Updates the generation prompts with learned insights and impact scores.
Generate
Creates improved meta descriptions using LLMs, informed by accumulated patterns. Each generation is validated against quality criteria before being accepted.
How WarpMetrics makes this possible
meta-gen uses the @warpmetrics/warp SDK to track every phase, every LLM call, and every outcome — creating the data layer that powers the improvement loop.
Run tracking
Each weekly cycle is a tracked run with groups for Feedback, Learn, and Generate — giving full visibility into every phase.
Outcome classification
Every run records an outcome (Run Complete) with metrics like pages generated, patterns learned, and failures. WarpMetrics classifies these as success or failure.
Self-chaining via Acts
Each run creates a "Continue Optimization" act that links to the next run, forming an unbroken improvement chain across weeks.
LLM observability
Every OpenAI call is traced through the @warpmetrics/warp SDK — tracking tokens, cost, latency, and model usage across all phases.
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