Three GEO Playbooks: How B2B SaaS, E-Commerce, and Professional Services Get Cited by AI

A B2B SaaS customer asked us last week: 'We've spent three years writing 200 blog posts. How is ChatGPT mentioning our competitors five times more often than us?' We tested their content through several models. The problem was clear: they'd written marketing copy for people, not answers machines could cite. A headline like 'Five Secrets to Boosting Team Productivity' contains no sentence a model can extract as a factual response to a user's question.

Getting ranked first by Google and being cited by AI operate on different rules. Worse, B2B SaaS, e-commerce, and professional services get cited differently. Apply the same content strategy to all three and two will fail.

Understand how your buyers are asking

A working GEO strategy starts with persona and use-case: who your buyers are and what questions they pose to AI. A B2B buyer asks, 'What's the difference between Tool A and Tool B for permission management?' An e-commerce shopper searches for 'fragrance-free serums for sensitive skin.' Someone seeking a professional advisor asks, 'For a startup's first fundraise, should I talk to a lawyer or an accountant first?'

Question format determines how AI extracts answers. For B2B, it's comparisons and specs. For e-commerce, it's attributes and contextual filtering. For professional services, it's judgment and process. You need to provide what the model lacks when pulling answers.

Citation patterns by business model

We worked with an e-commerce client to restructure their content. Their product pages said 'premium materials and expert craftsmanship.' We broke this into extractable sections: 'Material: full-grain leather,' 'Best for: commuting, business travel,' and 'How it differs from canvas options at the same price.' Three months later, when Perplexity answered questions about 'durable commute backpacks,' it cited them instead of listing random brands.

For B2B, comparison pages can't just promote yourself; models downweight sales language. You need clarity: 'If you need a pure form-building tool, we're more expensive than competitors, don't choose us.' Models read this as fact, not pitch, and cite it more readily.

Professional services get overlooked but offer the highest GEO return. Models have fewer trusted answers here. One clean definition sentence plus a decision framework often makes you the cited source. Start with: 'FDE (Field Deployment Engineering) means an engineer works on-site with the client to own the outcomes of AI system adoption and rollout, not just deliver a working demo.' Models typically cite that exact sentence.

Every paragraph should stand alone

One test works regardless of industry. Take any paragraph from your content and read it alone. Can it answer a question by itself? If yes, it's GEO-friendly. If no, it's mood writing. Use real questions as headlines. Put the answer in your opening sentence. Reserve details for later. This mirrors how news writing works in an inverted pyramid.

Avoid writing like Wikipedia to sound more neutral. Models detect hollow statements easily. Content with a point of view, confident judgments, and clear tradeoffs gets cited more often because it provides information you won't find elsewhere.

At Tenten, when we work on FDM and GEO, we don't start by asking 'Will this rank on page one?' We map how each buyer persona asks questions, work backward to identify missing answers, then verify whether models actually cite the result. Content that gets picked up by AI as an answer is what counts.