GEO Content Publisher

An orchestration skill for GEO content publishing automation that connects the full pipeline:

1. 1. Content optimization (often using other GEO skills)
2. Multi-platform publishing & distribution
3. AI crawler and generative engine signaling

This skill focuses on workflow design, orchestration, and packaging, not on replacing the
specialized GEO skills (like optimizers or schema generators). It should coordinate them.

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When to use this skill

Invoke this skill whenever:

• - The user has (or plans to have) GEO-optimized content and asks to:

- Publish it to multiple channels (website, blog, docs, product pages, social media, newsletter, etc.) - Turn one “pillar” piece into multiple channel-specific variants - Plan and schedule a content release campaign around one or more GEO pages

• - The user wants their content to be:

- Highly visible to AI search / generative engines (ChatGPT, Perplexity, Gemini, Claude, SGE) - Properly surfaced to crawlers via sitemaps, llms.txt, Schema.org, and internal linking

• - The user mentions:

- “End-to-end GEO workflow”, “full-funnel GEO content”, “publish to multiple platforms” - “Syndicate this article”, “turn into LinkedIn + Twitter + newsletter” - “Push this new page so AI models can see it”, “make AI pick up this content”

Do not limit triggering only to the exact keywords above; trigger whenever the intent is:
“Take optimized content and push it out broadly in a GEO-conscious way.”

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Relationship to other GEO skills

When available, this skill should coordinate with these skills rather than re-implement them:

• - geo-studio: for overall GEO strategy and prioritization
• INLINECODE1: to refine content before publishing
• INLINECODE2: to structure longform pages into AI-readable layouts
• INLINECODE3: to generate and refine Schema.org JSON-LD
• INLINECODE4: to design or update llms.txt and AI-targeted index pages
• INLINECODE6: to optimize images, videos, and other media assets

If these skills are not present, still follow the same workflow shape and explain what would be
done, giving concrete, actionable outputs (copy, checklists, suggested structures).

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High-level workflow

When this skill is used, follow this 9-step workflow unless the user explicitly asks for
only a subset.

1. Clarify publishing goals and constraints

Briefly but explicitly identify:

• - Core asset(s):

- What is the main piece? (article, landing page, docs, FAQ, product page, dataset, video, etc.) - Is it already written and optimized, or still in draft?

• - Primary GEO goal:

- e.g., “be the default answer for X in AI search”, “own intent Y”, “support product feature Z”

• - Target audience and geography:

- Who needs to see this? Any language/locale requirements?

• - Time horizon:

- One-off launch vs. ongoing campaign; any hard launch dates?

• - Channels in scope:

- Website main page, blog, docs, product catalog, knowledge base - Social platforms (LinkedIn, X/Twitter, Reddit, TikTok, etc.) - Email/newsletter, in-app messages, app store descriptions, etc.

• - User’s stack constraints (if provided):

- CMS used (WordPress, Webflow, headless, custom) - Any platforms that are off-limits

Output a short “Publishing Brief” section summarizing this in 5–10 bullet points.

2. Inventory and (if needed) optimize the source content

• - If content is already optimized:

- Quickly check for obvious GEO gaps: structure, headings, FAQs, internal links, schemas, media. - If another optimizer skill is available, call it or conceptually apply its workflow.

• - If content is not optimized yet:

- Recommend running geo-content-optimizer and/or geo-structured-writer first. - If the user insists on skipping deep optimization, still: - Ensure basic structure (H1, H2/H3, clear sections) - Add an FAQ or Q&A block where appropriate - Suggest at least a minimal internal-link plan

Produce a concise “Content Readiness” section with:

• - Key strengths for GEO
• Gaps that need to be addressed before or during publishing
• Whether you will optimize inline or rely on another skill

3. Design the channel strategy and mapping

Create a channel plan that maps the core asset to multiple formats and entry-points.

• - Decide which channels are primary (SEO/GEO anchors) and which are supporting (distribution).
• For each channel, define:

- Role (e.g., “anchor page for AI citations”, “social proof amplifier”, “email follow-up”) - Key message focus and adaptation (tone, length, proof level, CTA) - Linking strategy (which canonical URL to point to; how it supports the GEO target) - Cadence if multi-post/ongoing (e.g., 1 hero launch + 3 follow-ups)

Output as a markdown table like:

CODEBLOCK0

4. Generate channel-specific content variants

For each channel in the plan, generate or refine content variants that:

• - Respect channel constraints:

- Length and formatting (e.g., LinkedIn vs. Twitter vs. email) - Visual vs. text-heavy

• - Preserve core GEO messaging:

- Clear description of topic / entity / product - Concrete facts that models can safely cite - Stable terminology and entity naming

• - Include explicit citation anchors where helpful:

- “According to [BrandName]’s guide on [topic]…” - Short, self-contained definitions that AI can safely quote

Outputs for this step:

• - A section ## Channel Content Variants with subheadings:

- ### Website / Landing Page - ### Blog Article - ### Documentation / Knowledge Base - ### Social (per platform) - ### Newsletter / Email - ### Other (e.g. app store, in-app banner, etc.)

• - Under each, provide ready-to-use drafts (copy, suggested headings, bullets, CTAs).

5. Structure pages for AI readability

For web and longform surfaces (website, blog, docs, KB):

• - Ensure the following structure (can be customized per page type):

CODEBLOCK1

• - If geo-structured-writer is available, mention that this layout follows its guidance or that

it could further refine the structure.

• - Explicitly call out sections that are especially useful for AI citation (definitions, FAQs,

concise summaries).

6. Attach structured data and media metadata

For all relevant pages:

• - Use or conceptually apply geo-schema-gen to propose:

- Article, BlogPosting, WebPage, FAQPage, Product, or HowTo schemas as appropriate. - Include key fields: headline, description, url, author, publisher, datePublished, mainEntityOfPage, etc.

• - For images and videos:

- Use or conceptually apply geo-multimodal-tagger to generate: - Descriptive but concise alt text - File names that reflect the topic/entity - Optional ImageObject / VideoObject schemas.

Output:

• - A section ## Structured Data Package that includes:

- JSON-LD snippets (as code blocks) - A table mapping URLs to the schema types you recommend - Example alt text and filenames for key media assets

7. Plan the technical publishing steps

You do not have direct access to the user’s CMS or APIs, so your job is to:

• - Produce implementation checklists for each major system:

- CMS / website - Blog / docs / knowledge base - Email platform - Social scheduling tool(s)

• - For each checklist, include:

- Fields and settings that must be filled (titles, meta descriptions, slugs, canonical URLs) - How to embed JSON-LD (theme template, tag manager, custom HTML, etc.) - How to ensure clean URLs and avoid duplicate URLs that dilute GEO signals - Any caching or build/deploy steps (for static / headless setups)

Output:

• - A section ## Implementation Checklists with subsections per system, using bullet lists.

8. AI crawler and generative engine signaling

This step focuses on making the new/updated content more easily discoverable by:

• - Classical search crawlers (Google, Bing, etc.)
• AI-specific crawlers and model ingestion systems where possible

Actions to recommend:

• - Sitemaps

- Confirm new URLs appear in the appropriate XML sitemaps (and HTML sitemaps if applicable). - If the user runs a headless or static site, specify where sitemaps are typically located and how they may be updated or regenerated.

• - llms.txt and AI index pages

- Use or conceptually apply geo-llms-txt to: - Add or update entries pointing to the new content. - Group related content into clearly named sections (e.g., “Pricing guides”, “Implementation playbooks”, “Product docs for X”).

• - Internal linking

- Suggest 5–20 high-value internal link targets that should now link to this new content. - Prioritize pages that: - Already rank / are cited for the same or adjacent intent - Are high-traffic or high-authority

• - External exposure

- Propose low-friction actions to get early references: - Share with partners - Answer relevant questions on communities/QA platforms, linking to the canonical page

Output:

• - A section ## AI & Crawler Signaling Plan with:

- A bullet checklist of concrete steps - A small table listing “URL → sitemap / llms.txt / internal link recommendations”

9. Final publishing plan and timeline

Summarize everything into a single, execution-ready publishing plan:

• - Timeline (at least ordered steps; include dates if user provided them)
• Who does what (if roles or teams are known or can be implied)
• Dependencies (e.g., “publish LP before social”, “schema update before PR push”)
• Success metrics that are realistic for GEO:

- e.g., increased impressions/clicks from AI search, number of AI citations found in answers, traffic and engagement for target pages, newsletter clicks, etc.

Output:

• - A ## Final Plan section with:

- A short executive summary (3–6 bullets) - A step-by-step list (checklist style) - A compact table of “Metric → Why it matters → How to measure”

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Output format

Unless the user explicitly requests a different format, structure your answer as:

1. 1. INLINECODE39
2. INLINECODE40
3. INLINECODE41
4. INLINECODE42
5. INLINECODE43
6. INLINECODE44
7. INLINECODE45
8. INLINECODE46
9. INLINECODE47

Use:

• - Markdown headings and tables for structure
• Bulleted lists instead of dense paragraphs
• Short, actionable sentences suitable for copying into task trackers, docs, or briefs

If the user only asks for a subset (e.g., “social posts + email only”), still keep the headings
but clearly mark skipped sections (e.g., “Not in scope for this request”).

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Examples of triggering prompts

These are example user prompts that should trigger this skill (for reference; not user-facing):

• - “We just finished a GEO-optimized pillar article about ‘zero-trust data governance’. Help me turn

this into a full publishing plan: main page + blog + docs + LinkedIn + newsletter, and make sure AI models will pick it up.”

• - “I’ve got a new product feature page and I want it to become the default answer in ChatGPT and

Perplexity when people ask about [topic]. Can you help me design the publishing and distribution workflow?”

• - “Take this case study and roll it out everywhere: website hero section, landing page, PDF, LinkedIn,

X, email, internal wiki. Also suggest how to configure llms.txt and sitemaps so AI crawlers see it.”

• - “I want a repeatable playbook for how we publish any new GEO content across our whole stack (WP site,

HubSpot email, LinkedIn, X). Please write the workflow and checklists.”

You do not need to surface this list directly to the user; it is here to clarify intent.

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