Content That AI Engines Want to Cite
A 5-day sprint to design your content strategy for AI engine optimization - target queries, content templates, structured data, and a 90-day execution calendar.
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The GEO Content Strategy Sprint designs your content approach for AI engine citation - the queries to target, the formats that get cited, the structured data that makes your content extractable, and a 90-day execution calendar.
Why Content Strategy for AI Engines Is Different
Content that ranks on Google does not automatically get cited by AI engines. The signals are different:
Google rewards keyword optimization, backlinks, and page speed. AI engines reward factual density, entity clarity, structured data, and authoritative sourcing. A blog post that ranks #1 on Google may never be cited by ChatGPT if its content is structured as a narrative rather than as extractable facts.
The most common mistake we see is treating GEO as an extension of SEO content strategy. It is not. AI engines don’t read your content the way Google’s crawler does. They extract information, evaluate authority, and synthesize answers from multiple sources. Your content needs to be designed for this extraction process - not just for human readability.
What the Sprint Delivers
The GEO Content Strategy Sprint produces a complete, executable content plan:
Query research - We identify the 20+ buying-intent queries that matter for your category across ChatGPT, Perplexity, Gemini, Claude, and Copilot. These are the questions your buyers ask AI engines, and each one represents a citation opportunity.
Content templates - Structured content formats designed specifically for AI extraction and citation. Templates for comparison pages, feature documentation, FAQ content, definitive guides, and technical specifications - each optimized for how LLMs parse and cite information.
Structured data specifications - JSON-LD schema markup recommendations for every content type. Schema.org structured data is one of the strongest signals for AI engine citation, and most websites implement it poorly or not at all.
llms.txt implementation - A deployment guide for the emerging llms.txt standard - the AI equivalent of robots.txt that tells AI crawlers exactly how to understand your site’s content hierarchy and authority signals.
Content gap analysis - What AI engines currently say about your product vs. what they should say. This gap analysis becomes the strategic brief for your content team, showing exactly which narratives to create and which inaccuracies to correct.
Book a free GEO strategy call to discuss your content strategy scope.
Engagement Phases
Query Research & Content Audit
Identify the queries buyers use in AI engines for your category. Audit your existing content for AI-citability - structure, authority signals, schema markup, and extraction-friendliness.
GEO Content Playbook Design
Design content templates optimized for AI citation. Define structured data specifications. Create 90-day content calendar with target queries, formats, and distribution channels.
Implementation Guide & llms.txt
Deliver llms.txt implementation guide, schema markup recommendations, and content gap analysis showing what AI engines should say vs. what they currently say.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Content Citability | Content written for human readers only - not structured for AI extraction | Content templates designed for AI citation with structured data and entity markup |
| Query Coverage | No visibility into which AI queries matter for your category | 20+ target queries identified with content mapped to each |
| Content Pipeline | Ad hoc content creation with no GEO strategy | 90-day content calendar with 12-24 AI-optimized content pieces planned |
Tools We Use
Frequently Asked Questions
What is the price?
USD 7,500 for a 5-day sprint. Fixed-price with guaranteed deliverables.
Do you create the content?
This sprint designs the strategy and templates. Content creation is included in the GEO retainer at the $8,000/month tier, or can be handled by your internal team using our templates.
What is llms.txt?
llms.txt is the AI equivalent of robots.txt - a structured file that tells AI crawlers how to understand your site. We design and implement it as part of every content strategy sprint.
How is this different from traditional content strategy?
Traditional content strategy optimizes for human readers and Google rankings. GEO content strategy optimizes for AI extraction - factual density, entity relationships, structured data, and the specific formats that LLMs prefer to cite.
Get Recommended by AI.
Book a free 30-minute GEO strategy call. We check what ChatGPT, Perplexity, and Gemini say about your product right now - and show you how to improve it.
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