Description
Content Package B – 8 Articles – $880
($110 per article)
8 total AEO optimized articles (4500 – 1000 words, 41000 – 1500 words).
All articles are written using a mix of question-and-answer formats, editorial explanations, lists, bullet points, and step-by-step “how-to” sections.
Each article directly answers a specific user query and is structured to support answer extraction and featured-snippet-style placement.
What We Do
Step 1: Intent & Prompt Research
We identify the exact questions your ideal customers are asking in AI search (ChatGPT, Google AI experiences, Perplexity), including the follow-up questions AI typically expands into. We turn these FAQ’s into titles/topics for blog posts that AI will crawl and use for its answers.
Step 2: Content Creation
We write content structured and optimized for LLM recognition. This means using machine readable language, easiest for the LLMs to parse. As well as formatting content in a way that LLMs prefer.
Key Components to AEO Optimized Content:
- Semantic stability – Core concepts are named, defined, and referenced consistently so the model does not need to reconcile competing interpretations of the same idea.
- Query expansion readiness – The page anticipates the natural follow-up questions AI systems generate and answers them within the same topical scope, increasing reuse across multiple prompts.
- Decomposable structure – Information is organized into discrete, self-contained sections that can stand alone when extracted, such as definitions, procedures, comparisons, or constraints.
- Query-aligned framing – The content is structured around the actual questions users ask, using natural language patterns that reflect intent rather than keyword density.
Step 3: Content Publishing Guide
We provide a list of instructions on best practices for publishing your content. This guide covers where content should live on your site, how pages should be structured and internally linked, and how supporting elements like headings, FAQs, and schema should be implemented to improve AI readability and extraction.
