"X vs Y" and "alternatives to X" are some of the highest-intent questions a buyer asks an AI engine. If you don't publish a clear, fair answer, the engine will quote someone else's.
Here is the structure we use for comparison Citation Assets.
Lead with the verdict
Put a two or three sentence answer at the very top: who each option is best for, in plain language. Engines favour passages that answer the question without needing the rest of the page for context.
Use a real comparison table
A table with consistent rows (pricing model, team size, key integrations, support, deployment) is easy for an engine to parse and easy for a buyer to scan. Keep the facts specific and current, and say when you last checked them.
Be fair to the competitor
Pages that only praise the publisher read as advertising, and engines tend to cite more balanced sources. Name the situations where the other product is the better fit. It builds trust with buyers too.
Answer the follow-up questions
Add a short FAQ beneath the table covering migration, contract terms, pricing differences and who switches and why. These match the follow-up prompts buyers ask after the first comparison.
Make authorship and freshness obvious
- A named author with relevant experience
- A visible "last updated" date
- Sources for any claims about pricing or features
- FAQ and product schema where it fits
Then get it referenced
A strong page is half the job. Comparison answers are often built from third-party listicles and review sites, so the same comparison needs to be represented there. That is the off-site half of the work.
Comparison pages are one of eight Citation Assets we ship every month on the Growth plan.
