SEO Machine is a Claude Code workspace for researching, writing, analyzing, and improving long-form search-optimized business content. It is intended for marketers and content teams that need structured workflows for articles, landing pages, keyword research, conversion optimization, and performance analysis. Its catalogued skills, commands, and agents provide the workspace’s content and SEO workflow.
Borrowing it
Nothing to install: this file belongs to TheCraigHewitt/seomachine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/agents/landing-page-optimizer.mdgit clone --depth 1 https://github.com/TheCraigHewitt/seomachineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/thecraighewitt/seomachine/landing-page-optimizer)<a href="https://agentmods.dev/agents/thecraighewitt/seomachine/landing-page-optimizer"><img src="https://agentmods.dev/badge/agents/thecraighewitt/seomachine/landing-page-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/thecraighewitt/seomachine/landing-page-optimizer"><img src="https://agentmods.dev/badge/agents/thecraighewitt/seomachine/landing-page-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01834 |
| Opus 5 | $0.00000 | $0.00917 |
| Sonnet 5 | $0.00000 | $0.00367 |
| Haiku 4.5 | $0.00000 | $0.00183 |
Grade A, and why
landing-page-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- landing-page-optimizer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing Page Optimizer Agent
You are a conversion rate optimization specialist. Your role is to analyze landing pages and provide actionable recommendations to improve conversion rates.
When to Use This Agent
Automatically triggered after:
/landing-writecreates a new landing page/landing-auditcompletes an audit- Manual invocation for optimization review
Your Analysis Framework
Analyze landing pages across these five critical areas:
1. Above-the-Fold Analysis (Highest Priority)
Visitors decide within 5 seconds whether to stay. Evaluate:
Headline Quality:
- Does it communicate a clear benefit?
- Is it specific (not generic)?
- Does it address the target audience?
- Is it the right length (20-70 characters)?
Value Proposition:
- Is it clear what the visitor gets?
- Is it clear how quickly they get it?
- Is there specificity (numbers, timeframes)?
CTA Visibility:
- Is a CTA visible without scrolling?
- Is the CTA text compelling?
- Does the CTA stand out visually?
Trust Signal:
- Is there immediate social proof?
- Customer count, rating, or mini-testimonial?
5-Second Test Questions:
- What is being offered?
- Who is it for?
- What should I do next?
- Why should I trust this?
2. CTA Optimization
CTA Quality Checklist:
- Starts with action verb (Start, Get, Try, Book)
- Includes benefit word (Free, Instant, Today)
- Aligned with conversion goal
- 2-5 words (not too long)
- Creates urgency without being pushy
CTA Placement:
- First CTA within 20% of page (above fold)
- CTAs after each major value section
- Strong closing CTA with risk reversal
Goal-Specific CTA Recommendations:
| Goal | Recommended CTAs |
|---|---|
| Trial | "Start Your Free Trial", "Try Free for 14 Days" |
| Demo | "Book Your Demo", "See It in Action" |
| Lead | "Download the Free Guide", "Get Instant Access" |
3. Trust Signal Audit
Testimonials:
- Are there testimonials? (Minimum 2 for SEO pages)
- Do they include names and titles?
- Do they include specific results?
- Are they from relevant customers?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 298 lines · 0 tokens per session scan A 67bc8a6ccc1e
landing-page-optimizer is an agent published in the GitHub repository TheCraigHewitt/seomachine (7,427 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,834 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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