AI Search
Search is changing. Google's AI Overviews, ChatGPT, Perplexity, Gemini - the way people find information and make buying decisions is shifting, and the brands that adapt their strategy now will be the ones that stay visible.
At SILO, we don't treat AI search as a separate channel bolted onto your SEO strategy. We treat it as an integral part of how we think about search visibility. The underlying principles - topical authority, entity prominence, strong digital footprint, technically sound content - benefit both traditional search and AI platforms. The tactics can differ, but the strategy is intertwined.
Content strategy for AI visibility
The way content is written and structured matters enormously for AI search. AI crawlers are often simpler than traditional search engine crawlers - a large number of them can't process JavaScript. That means your content needs to be clearly structured, entity-rich, and easy to parse.
We write content that works for both audiences. Highly structured formatting, clear entity signals, and language that aligns with how AI platforms interpret and surface information. We use Google search data as a demand proxy to understand what people are asking about across platforms, then synthesise that into the content strategy.
AI technical audits
We run dedicated AI technical audits that go beyond a standard technical SEO review. This is a multi-step process that focuses heavily on log file analysis to understand how AI crawlers are currently accessing your site - which pages they're hitting, how often, and what they're ignoring.
We also research the grounding queries that AI platforms use when performing web searches on behalf of users, and we incorporate those queries into our content where appropriate. This is emerging territory, and we approach it with the rigour it deserves rather than making overclaims about what does and doesn't influence results.
Entity and authority building
AI platforms don't just look at individual pages. They look at your brand's overall digital presence to decide whether you're a credible source worth citing. Building that authority means consistent, accurate information across the web, strong topical depth on your site, and a digital PR strategy that builds genuine coverage rather than just chasing backlinks.
We also analyse which third-party sites are being cited by AI platforms in your space. In some cases, the most effective approach isn't competing directly for a citation - it's making sure you're featured on the pages that AI is already referencing. That might mean working with affiliates, review sites, or industry publications to ensure your brand is visible in the content AI platforms trust.
Tracking and measurement
AI search is harder to measure than traditional SEO, and we're honest about that. There's no equivalent of a rankings report. What we do is build tracking frameworks around the prompts and queries that matter to your business, test visibility across platforms over time, and tie it back to the broader search strategy wherever possible.
How this connects to your wider SEO strategy
Everything we do in AI search feeds back into the broader SEO strategy. The topical authority you build for Google also influences how LLMs perceive your brand. The technical foundations that help search engines crawl your site also determine whether AI crawlers can access your content. The digital PR activity that earns backlinks also builds the digital footprint that AI platforms draw on.
This is why we approach it as one integrated strategy rather than treating AI search as a separate workstream. The brands that will win in both channels are the ones that build genuine authority, not the ones chasing platform-specific tricks.
Want to understand how AI search affects your business?
It's moving quickly, and the right time to start thinking about it is now. Let's talk about where your brand currently stands and what the opportunity looks like.