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Seo Strategy

CommunityPopular
cbrock84
seo-strategy

Audits and improves organic search performance — technical health, site architecture, internal linking, structured data, and the content decisions that determine what can rank. Use this to run an SEO audit, diagnose why pages are not ranking or were deindexed, plan a site's URL and navigation structure, add structured data, or prioritize which SEO fixes are worth doing.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameseo-strategy
Stars
1.6K
Forks
237
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Seo Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/demand-generation/skills/seo-strategy .claude/skills/seo-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO strategy

Diagnose in this order

Skipping to content when the problem is technical wastes months. Work down; stop when you find the break.

  1. Can it be crawled? Robots directives, noindex left on after a launch, blocked resources, crawl budget wasted on parameter and filter URLs.
  2. Can it be indexed? Check what is actually in the index versus what should be. Canonicals pointing at the wrong page and unintended duplicates are the two usual causes.
  3. Does the page deserve to rank? Search intent match first. A page can be technically perfect and still lose because it answers a different question than the query asks.
  4. Does the site have the authority to rank for it? Some terms are out of reach for now. Targeting them is a decision to spend without return.

Architecture

Structure follows how people look for things, not how the company is organized.

  • Anything important reachable within three clicks of the home page.
  • Group related pages so internal linking is natural, not retrofitted.
  • One URL per thing. Parameters, trailing-slash variants, and case differences that all resolve are duplicate content in the crawler's eyes.
  • URLs readable and stable. Changing them costs equity even done correctly.

Internal linking is the most underused lever available: it is fully within your control, and it directs authority to the pages you actually care about. Link with descriptive anchor text from your strongest pages to the ones that need help.

Performance and mobile

Speed and mobile usability are ranking inputs and, more importantly, conversion inputs. Audit them as part of every SEO review rather than treating them as an engineering concern.

Measure on field data from real users where available, not only lab tools. Lab scores on a fast connection routinely miss what mobile users experience.

The three that matter:

  • Loading — how long until the largest visible element renders. Usually fixed by image sizing and format, render-blocking resources, and slow server response.
  • Interaction responsiveness — how long the page takes to react to a tap or click. Usually fixed by reducing main-thread JavaScript work.
  • Layout stability — how much content shifts while loading. Almost always fixed by reserving space for images, ads, and embeds before they load.

Mobile is the version that gets indexed. Check that mobile serves the same content as desktop — content hidden or dropped on mobile is content that does not exist for ranking — and that tap targets, font sizes, and viewport configuration do not make the page unusable.

Prioritize performance work by pages with traffic, not by worst score. A terrible score on a page nobody visits is not a finding.

Structured data

Mark up what genuinely exists on the page — the entity, its attributes, the relationships. It clarifies meaning to the crawler and can earn richer results.

Use JSON-LD in the page head rather than inline microdata — it is easier to maintain and validate, and it does not entangle markup with content.

The types worth implementing, in rough order of return: organization and site identity, breadcrumbs, articles, products with offers and availability, frequently asked questions, events, local business details, and job postings. Implement the properties each type actually requires plus the recommended ones you can populate honestly; partial markup with missing required fields is usually ignored entirely.

Validate after every template change. Structured data breaks silently when a template is edited, and nothing tells you.

Never mark up content that is not visible on the page, and never mark up ratings, prices, or events that are not real. Both are policy violations with penalties attached.

Prioritizing

Rank fixes by traffic at risk against effort. In practice the order is almost always: indexation problems, then intent mismatch on high-value pages, then internal linking, then structured data, then everything else.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Chase rankings for a term the page cannot satisfy. The click arrives, bounces, and teaches the engine the page was wrong.
  • Restructure a site without a redirect map. Lost link equity does not come back on its own.
  • Judge a change in the first fortnight. Search feedback is slow enough that early movement is usually noise.

Return contract

Findings by severity with the evidence for each, the sequenced fix list, expected impact and when it should be visible, and what you are choosing not to fix.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Strategy AI skill do?

Audits and improves organic search performance — technical health, site architecture, internal linking, structured data, and the content decisions that determine what can rank. Use this to run an SEO audit, diagnose why pages are not ranking or were deindexed, plan a site's URL and navigation structure, add structured data, or prioritize which SEO fixes are worth doing.

Why use Seo Strategy on TypingMind?

Because you install it once and use it with any model. Seo Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/seo-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Strategy?

As many as you like. As long as a model supports skills, you can use Seo Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Strategy AI skill free?

Yes. It is published on GitHub by cbrock84 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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