Stop writing for Google; start writing for the answer box

If AI assistants are assembling answers, they’re not “ranking” your page, they're extracting the clearest sentence that resolves the query. In GEO (Generative Engine Optimization), extractability beats traditional on-page SEO. The biggest wins we’ve seen in B2B SaaS come from rewriting key pages so they’re trivially citable by LLMs.

What’s actually worked for us in a GEO context:

• Start with a 2–3 sentence TL;DR that answers the question directly. In GEO, the TL;DR is often the sentence the model quotes.
• One idea per paragraph. Lead with the conclusion so AI doesn't have to infer your main point.
• Define your core entity explicitly: “Acme is a [category] for [ICP] that helps with [jobs-to-be-done].” → This is foundational in GEO because LLMs need clean entity definitions.
• Use semantic cues LLMs latch onto: “In short,” “The key difference,” “Step 1,” “Common mistake,” etc.
• Surface proprietary proof early: one stat, one named customer, one outcome  strong GEO signals.
• Use question-based H2/H3s that mirror buyer queries:
  • “Is X compliant with SOC 2?”
  • “X vs Y pricing differences” → GEO-friendly formatting makes extraction much easier.
• Add lightweight schema (FAQ / HowTo) to help AI map intent and structure.
• Interlink all related posts back to a category hub using branded anchors. This strengthens entity clarity, a major factor in GEO.

Quick GEO sanity test:
Ask an LLM your target question.
Does it cite your TL;DR?
If not, keep rewriting until the model consistently selects your answer.

I’m not saying backlinks or reviews don’t matter; they still reinforce trust signals in GEO. But if your content isn’t extractable, you’ll lose the cite even with strong authority.

We put a plain-English GEO breakdown together with examples if anyone wants it.

Curious what others are seeing after restructuring pages like this especially “X vs Y” and comparison pages.

Cheers,
Singularity Digital Team