Search is changing faster than most businesses realise. A growing percentage of buyer research now happens inside AI assistants — ChatGPT, Perplexity, Google's AI Overviews, Claude and Microsoft Copilot — rather than on a traditional search results page. The brands that appear in those AI responses are capturing buyer attention before a single Google result is clicked. Most brands have no idea whether they're visible in AI search — or invisible. This page explains what AI visibility is, what determines it and what you can do about it.
AI visibility refers to whether your brand, product or service is cited, recommended or mentioned when a user asks an AI assistant a question relevant to your category. When someone types "what's the best SEO agency for a B2B technology company?" into ChatGPT or Perplexity — the brands that appear in the response have AI visibility. The brands that don't appear are invisible to that buyer at that moment — regardless of their Google rankings.
AI assistants don't generate these responses randomly. They draw on a combination of their training data — which reflects what has been written about a brand across the web — and in the case of retrieval-augmented models like Perplexity, live web search results. The brands that appear consistently in AI responses are the ones that have built the right signals — authoritative content, editorial mentions, structured data and entity establishment — that AI models use to identify credible, relevant recommendations.
ChatGPT alone processes over 100 million queries per day — a significant and growing percentage of which are product and service research queries that were previously conducted on Google.
A buyer who gets a recommendation from an AI assistant may contact a brand directly without ever visiting a search results page. Brands invisible in AI responses miss this channel entirely.
AI models build associations between brands and categories over time — the brands establishing visibility now will be harder to displace as AI search matures. Waiting means competing against established AI brand associations.
AI visibility is not a single setting you can switch on. It is the result of a set of signals — built over time — that AI models use to identify brands as credible, relevant and authoritative in a given category.
AI models weight brands that are mentioned and cited by authoritative third-party sources — industry publications, news outlets, review platforms and association websites. A brand mentioned in 10 authoritative sources in its category is more likely to be cited by AI than a brand mentioned in none.
AI models extract answers from structured content — particularly FAQ sections, HowTo markup and clearly structured question-and-answer content. Pages with FAQPage schema that directly answer questions buyers ask AI assistants are significantly more likely to be cited in responses.
Google's Knowledge Graph and AI training data both use entity signals — Wikipedia pages, Wikidata entries, Google Business Profile, structured Organisation schema — to verify that a brand is a real, established entity in its category. Brands without entity establishment are harder for AI models to confidently recommend.
AI models assess topical authority — how comprehensively a brand's content covers its category. A brand with 50 pieces of in-depth content about SEO is more likely to be recommended as an SEO authority than a brand with 3 thin service pages.
AI models — particularly retrieval-augmented ones — draw on review platform data from G2, Trustpilot, Google Reviews and Clutch. A strong, current review presence on relevant platforms improves both the likelihood of citation and the sentiment of the recommendation.
AI models that use live web data weight recency — brands being actively mentioned across the web right now are more likely to surface than brands with historical mentions but no recent activity. PR, thought leadership and active content publication all contribute to mention velocity.
AI visibility improvement is a combination of technical, content and PR activity — many of which overlap with strong SEO practice. The difference is intentionality — specifically structuring content and building signals with AI citation in mind, not just Google rankings.
Structure your most important service and category pages with FAQPage schema — directly answering the questions buyers ask AI assistants about your category. This is the single highest-impact technical action for AI visibility improvement.
Earn mentions in authoritative industry publications, trade press and review platforms — the third-party citation signals AI models use to verify brand credibility. Digital PR is the most direct route to building this signal.
Create and verify your Google Business Profile, ensure your Organisation schema is implemented correctly and establish your brand's presence in structured data sources AI models use for entity verification.
Publish in-depth content covering every aspect of your category — not just your services. AI models recommend brands that demonstrate category expertise through content depth, not just brands that have a service page.
Build and maintain a current, high-volume review presence on G2, Trustpilot, Google and Clutch — the platforms retrieval-augmented AI models draw on for brand sentiment and credibility signals.
Digitly's GEO (Generative Engine Optimisation) service is built specifically for brands that want to establish and grow their visibility in AI search — combining technical schema implementation, content strategy, digital PR and entity establishment into a coordinated programme with AI citation as the primary objective.
The complete AI visibility service — entity establishment, structured content, editorial citations and AI citation tracking.
Learn MoreAnswer Engine Optimisation — structuring content to surface in AI Overviews and featured snippets.
Learn MoreBuilding the editorial citations and third-party mentions that AI models use to verify brand credibility.
Learn MoreA Digitly GEO specialist will review your current AI visibility — checking your entity establishment, schema implementation, editorial citation profile and review presence — and deliver a personalised AI visibility assessment within 24 hours.