SEO Audit & AI Landing Page Spec Generation
SEO Audit & AI Landing Page Spec Generation
Version 1.0.67 adds a fully autonomous SEO audit pipeline that evaluates your marketing site, generates optimized meta tags, surfaces missing content opportunities, and produces AI-written landing page specs for the highest-value gaps.
SEO Audit
The SEO audit pipeline performs a comprehensive health check on your marketing site. It covers:
- Title tags & meta descriptions — Evaluates existing values for length, uniqueness, and keyword relevance. Outputs replacement recommendations ready to apply.
- Heading structure — Checks
<h1>–<h3>hierarchy across all crawled pages for logical structure and keyword placement. - Canonical URLs — Flags duplicate or missing canonical tags that could cause indexing issues.
- Internal linking — Identifies orphaned pages and recommends internal link additions to improve crawlability and link equity distribution.
Missing Page Detection
The auditor compares your current site map against a keyword opportunity map to detect content gaps — topics your target audience is searching for that your site does not yet cover. Each gap is classified by:
| Signal | Description |
|---|---|
| Search volume | Estimated monthly searches for the target keyword cluster |
| Competition | Difficulty score for ranking on the first page |
| Relevance | How closely the topic aligns with your product's core use cases |
AI Landing Page Spec Generation
For every identified page opportunity, the platform generates a structured landing page spec. Each spec includes:
- Target keyword(s) — Primary and secondary keywords the page should rank for.
- Recommended headline — An AI-written
<h1>optimized for clarity, relevance, and click-through. - Subheadline — Supporting copy that reinforces the headline and addresses the visitor's intent.
- Key value propositions — Three to five bullet points highlighting the most compelling reasons a visitor should continue reading or convert.
- Call-to-action copy — Recommended CTA text and placement.
- Meta tag recommendations — Pre-written
<title>and<meta description>values ready to publish.
Prioritization
Specs are ranked by a composite score that weighs estimated traffic potential, keyword-to-product relevance, and conversion likelihood. The top opportunities are surfaced first so the content pipeline builds the highest-impact pages before lower-priority ones.
How It Fits Into the Pipeline
- Audit runs — The SEO agent crawls the live marketing site and computes health scores.
- Gaps identified — Missing pages are extracted from the keyword opportunity map.
- Specs generated — The AI writer produces a full landing page spec for each gap.
- Specs queued — Approved specs are handed off to the content and engineering pipeline for page creation.
No human intervention is required between the audit and spec generation steps.