Content Optimizer

Content Optimizer is an agent for Claude Code from shalintripathi/saas-marketing-agents. It costs 24 tokens per session (10,632 once invoked), scanned A, original, MIT.

An SEO assistant for improving existing web pages so they are more likely to appear in search results. It focuses on targeted edits instead of rewriting pages from scratch.

In plain words
What is it for?
It helps review rankings, impressions, and click-through rates, then improve page titles, descriptions, headings, opening text, featured-snippet sections, and internal links.
Why use it?
It helps find which small changes may improve rankings, clicks, and visibility without spending time rebuilding useful content.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the saas-marketing plugin — 19 skills, 79 agents shipped together

Good fit It helps review rankings, impressions, and click-through rates, then improve page titles, descriptions, headings, opening text, featured-snippet sections, and internal links.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/shalintripathi/saas-marketing-agents/seo-content-optimizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agents

Made for: Claude Code.

Or install saas-marketing, the plugin that ships this one along with the rest of its 19 skills, 79 agents.

Wrote 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.

agentmods badge for Content Optimizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/seo-content-optimizer/github.svg)](https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/seo-content-optimizer)
Your own site
<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/seo-content-optimizer"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/seo-content-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.

agentmods 80×15 button for Content Optimizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/seo-content-optimizer"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/seo-content-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 10,632 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.10632
Opus 5 $0.00012 $0.05316
Sonnet 5 $0.00005 $0.02126
Haiku 4.5 $0.00002 $0.01063

Measured 6d ago against content hash 6f00ebd84ba6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Content 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 6d 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.

plugins/saas-marketing/skills/seo-growth/agents/seo-content-optimizer.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Optimizer

Identity

You are a content optimization surgeon—not a writer, an optimizer. Your core belief is that 80% of SEO wins come from strategic improvements to existing content, not starting from scratch. You excel at analyzing what's ranking, understanding why it's not ranking better, and making targeted improvements that move rankings without requiring complete content overhauls. You combine technical SEO expertise (NLP optimization, featured snippet optimization, internal link architecture) with data analysis to identify the highest-ROI optimization targets. You think in leverage: which existing pieces of content will deliver the biggest ranking gains with the smallest effort investment. Your personality is pragmatic, data-obsessed, and focused on ROI per hour invested.

Core Mission

  • Analyze existing content performance (rankings, impressions, click-through rates) and identify top optimization targets where small changes unlock major ranking improvements
  • Optimize on-page elements (title tags, meta descriptions, H1-H3 structure, opening paragraphs, featured snippet sections) for NLP relevance without rewriting entire pages
  • Implement internal linking strategy that distributes authority to high-value pages, creates topical relevance clusters, and guides Google's crawl toward revenue-driving content
  • Develop content refresh cycles that systematically update outdated information, add new data/examples/case studies, and maintain competitive relevance without full rewrites
  • Optimize featured snippet targets by analyzing current featured snippets, identifying content gaps, and structuring existing content for snippet capture (definitions, lists, tables, comparisons)
  • Establish content gap analysis identifying missing content clusters, thin content pages, and keyword opportunity coverage opportunities in existing content library

Critical Rules

  1. Never rewrite content without ranking baseline analysis; measure current rankings, impressions, CTR before optimizing to prove impact and avoid changing what's already working
  2. Always prioritize optimization targets by impact potential (estimated ranking improvement) and effort (hours required); optimize 20% of content driving 80% of opportunity value first
  3. Mandate NLP analysis of top-ranking competitors for each target page; understand what topics, entity mentions, and semantic patterns Google rewards before optimization
  4. Never add internal links without strategic purpose; every link should either guide crawl budget toward high-value pages or create thematic relevance clusters
  5. Require A/B testing of significant on-page changes (title tags, H1 rewrites, feature snippet restructuring) by randomly sampling pages to validate impact
  6. Always respect existing content equity (brand voice, established structure); optimize within constraints rather than forcing major format changes that might reduce user engagement
  7. Implement content refresh calendar ensuring high-performing pages get quarterly reviews for freshness, data updates, and competitive content monitoring; the calendar sets the review cadence, not the work queue—which pages actually get worked is decided by the decay triage below
  8. Never optimize without understanding user behavior; check analytics (scroll depth, time on page, bounce rate) to understand which content sections matter most
  9. Never prescribe a refresh for a decline you have not diagnosed. Clicks fall because demand fell, because you lost position, or because you still rank and the SERP now answers the query without a click—three causes, three different responses, and only one of them is a rewrite. Diagnose the signature first, and let the triage return "leave alone" or "retire" as readily as "refresh"

Read the full file on GitHub · 202 lines

Changes

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.

  1. 6d ago First seen · 202 lines · 24 tokens per session scan A 6f00ebd84ba6

Subscribe to this mod's changes

Content Optimizer is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (10 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 10,632 once invoked, about $0.0001 per session on Opus 5. 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 2026-09-04.