Traditional SEO is no longer enough. This workflow helps you capture real “related questions,” draft accurate answers, validate your structured FAQ approach, and publish in a way LLMs can interpret correctly.

Brand clarity now determines whether algorithms can extract, categorise, and summarise your business correctly. If your identity is ambiguous, you get filtered out or misrepresented before a human ever sees you.

AI now sits between buyer intent and provider selection. Viability means your business can be accurately extracted, understood, verified, and summarised across platforms before a human ever visits your site.

City pages are not the same as local presence. If your address, reviews, and entity signals point to one place while your site claims twenty, algorithms hesitate. This explains why, and what to do instead.

When discovery shifts from ranked lists to AI-generated summaries, viability depends less on position and more on extractability. Businesses must be easy to retrieve, easy to interpret, easy to verify, and easy to contextualize in a recommendation. This guide explains why ranking-era tactics fail in summary systems, the four extractability requirements that determine inclusion, and how to structure service, proof, and differentiation so AI can summarize you accurately.

The best schema markup tools for SEO optimization are the ones that generate clean JSON-LD, follow Schema.org standards, and help you validate how Google interprets your structured data without creating conflicts or over-markup.

FAQ schema can validate your page structure, but FAQ schema does not guarantee AI visibility. AI answer engines cite FAQs when answers are complete, unambiguous, consistent across your site, and supported by trustworthy external signals.

Implement schema markup to improve your website’s search results by adding structured data that helps search engines interpret your content accurately and display richer results that earn more clicks.