Yes. Schema markup helps because it hands AI engines clean, machine-readable facts about your business instead of making them infer everything from prose. JSON-LD using Organization, Article and Product types reinforces who you are and what you offer. It is not a magic switch, but it is a reliable signal that supports the rest of your visibility work.
Schema markup is structured data you add to a page to describe its content in a way machines can parse without guessing. The current standard format is JSON-LD, a small block of code that sits in the page and states facts plainly: this is an organisation, here is its name, here is the article author, here is the product and its price. AI engines and the crawlers that feed them can read these facts directly rather than reconstructing them from your paragraphs.
That matters for AI search because language models work by building an understanding of entities, the people, products, organisations and concepts in your market, and the relationships between them. Clean structured data reduces ambiguity. When your Organization schema states your name, sector and official links, you make it harder for an engine to confuse you with a similarly named business. When your Article schema names the author and publish date, you reinforce authorship and freshness, both of which feed trust. Product schema does the same for what you sell.
There is an important recent change to be clear about. Google retired FAQ rich results from its search results in May 2026. That means marking up FAQs with FAQPage schema no longer earns you those expandable question boxes on the search page. It is tempting to conclude that FAQ schema is now pointless. It is not. The visual feature went away, but AI pipelines still read the underlying JSON-LD. Structured question-and-answer data remains a clean, machine-readable source for AI engines even though it no longer renders as a rich result. The display changed, the signal did not.
It helps to separate two things. Rich results are a Google search feature, governed by Google's display rules, which come and go. Structured data as a machine-readable signal for AI engines is broader and more durable. We track this through what we call an EntityMap: the web of entities and relationships the engines associate with your brand. Schema is one of the cleanest ways to strengthen the right connections in that map and weaken the wrong ones.
Two honest caveats. First, schema describes what is already on the page. It cannot invent authority or quality you have not earned, and engines cross-check it against the visible content and other sources. Markup that contradicts your page or overstates reality can be ignored or, worse, erode trust. Second, schema is a supporting signal, not the lead. It amplifies strong content and credible sourcing. It will not rescue thin pages.
If your key pages lack structured data, you are leaving an easy, reliable signal on the table. At minimum, get Organization schema right across your site and Article schema on your content, with accurate authors and dates. If you sell products, mark those up too. Keep it truthful and consistent with what the page actually says, because engines verify it against the visible content.
Do not over-rotate on schema as a silver bullet, and do not panic about the FAQ rich result change. The work is steady hygiene: accurate, consistent structured data that reinforces the entities you want the engines to associate with you, sitting on top of content that genuinely deserves to be cited.
Schema sits within our 12-pillar AVS framework as part of how machine-readable your authority is. When we measure your AI Visibility Score across the three engines, ChatGPT, Google AI Overviews and Perplexity, we look at whether your structured data is helping or missing, and we build your EntityMap to see how the engines currently connect your brand. You can read about the wider approach in our GEO guide and on what is GEO.
The free Exec Brief flags where structured data and entity signals are letting you down, alongside your band and the bigger gaps. The cadence work, which is bespoke priced, includes the recommendations to fix them as part of a broader plan, because schema only pays off when it sits on strong content and sourcing. Begin at /start. Be Known. Be Cited.
Book an AVS Exec Brief: a real, one-off measurement of how ChatGPT, Google AI Overviews and Perplexity talk about your business right now. Same methodology as the full AI Visibility Strategy, delivered manually, free of charge. Annual, Bi-Annual and Quarterly cadences are bespoke priced.
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