Why AI SEO Matters
As traditional Google search traffic declines, more people are turning to conversational AI platforms like ChatGPT, Perplexity, and Claude for answers. To stay visible, marketers need to adapt. That’s where AI SEO content comes in—creating high-quality, structured pages that large language models (LLMs) can find, understand, and cite.
This shift means rewriting SEO rulebooks. Instead of ranking on search engine result pages (SERPs), your content should be easily quote-worthy in zero-click answers. Shelby Stump's latest show walks through how to win the AI search game using a custom GPT tool designed for this purpose.
Building a Custom GPT for AI SEO
The first step to improving your visibility in AI search is building a custom GPT agent inside ChatGPT. Shelby used OpenAI’s GPT-4 (03 Pro model) to construct what she calls an "AI SEO content builder." This tool follows a set of detailed instructions and internal best practices designed to make content easily quotable by AI tools.
The key feature is a markdown prompt that lays out a workflow for generating content targeted at search conversations. Its mission: generate a source article so complete that LLMs like ChatGPT, Perplexity, Gemini, and Claude will quote it verbatim.
{ "task": "Create a well-structured web page", "objective": "Be cited by LLMs in zero-click search", "formatting": "JSON export for easy use", "language": "Plain, actionable English"
}
The setup includes uploading your own research, such as a compiled PDF of best practices in AI SEO, to provide context for stronger, more informed content generation.
Structure of Zero-Click Content
Good AI SEO content starts with a direct answer: 45 words or fewer summarizing the core message at the top. That’s followed by clearly marked sections that break down the topic in depth. Shelby’s GPT tool also adds metadata like word count, keyword density, reading level, and topic relevance.
For example, her test prompt—“How is HubSpot CRM better than spreadsheets in 2025?”—returns a TLDR statement, analysis of spreadsheet problems, HubSpot’s strengths, and a fast-start checklist to help users act immediately. This reinforces the trend from simple answers to actionable guidance. The result is a JSON-ready output that can be dropped into any website editor. It’s optimized not just for readability but for LLM citation strategies.
Custom GPT vs. Other AI Models
While Shelby’s go-to is the GPT-4 (03 Pro) model for its high quality, she reminds viewers that it runs slower than others. Still, when aiming for AI search visibility, precision and authority matter more than speed. Quality content is more likely to be quoted by conversational models.
Custom GPTs offer flexibility. You can configure your agent to reflect brand voice, upload specific knowledge, and keep formatting consistent across outputs. Unlike general AI tools, this focused GPT doesn’t just summarize—it builds each section with zero-click performance in mind.
The output includes support for headings, actionable lists, and markup—making it ready to publish with minimal editing.
Testing Your AI SEO Tool
Once you’ve built your GPT, the next step is to test it with real-world search topics. Shelby used HubSpot CRM vs. spreadsheets as a use case. The tool delivered a 564-word article citing unified data solutions, pricing structures, and practical benefits—all in under 15 minutes.
This high-performing zero-click page featured: TLDR summary under 45 words Readable formatting and stats Keyword density calculations Fast-start checklist sections
These additions increase the chance that tools like Perplexity or Claude will pull direct quotes from the content. You’re essentially reverse-engineering your way into becoming a trusted source these LLMs rely on. Making the Most of LLM Citation Strategies
In the age of AI search, you're no longer writing for human eyes only. While clarity and usefulness still matter, structure and technical precision influence how likely an AI is to quote your content. That’s where LLM citation strategies come into play.
Design each article with citation potential built in. Add helpful subheadings, define entities, and reinforce core ideas in plain terms. Shelby’s tool analyzes product mentions, related terms, and even estimates competitive density. All this makes your content LLM-ready.
Remember, this approach doesn’t replace traditional SEO—but it extends it to AI-driven surfaces where people increasingly get answers. The real value of the AI SEO content approach lies in how reusable and scalable it is. You can target any common question your audience searches and turn it into a high-quality AI-friendly web page in minutes.
Conclusion: Take Control of AI SEO Content Today
The search market has changed. With ChatGPT, Claude, and other tools shaping the future of search, it’s time to stop writing just for Google—and start creating AI SEO content that AI assistants love to quote. Building your own custom GPT can give you an edge without a large budget or agency help.
Whether your focus is tech products, SaaS, or onboarding tutorials, this approach scales. You’re not just answering questions—you’re becoming the source those questions cite.
And with the free tool Shelby shared, there’s every reason to get started now. Just load your topic, run the prompt, and publish. [ zero-click search optimization is already reshaping how users find information. Make sure you're in that picture too.
