Get found in ChatGPT, Gemini, and AI Overviews.

AI visibility is how often and how prominently your brand appears in AI-generated answers — from ChatGPT and Perplexity to Google AI Overviews and Gemini responses. As buyers increasingly ask AI engines instead of searching Google, appearing in those answers drives awareness, trust, and traffic. Unlike traditional SEO, AI visibility is determined by entity authority (how well-documented your brand is across the web), content structure (whether your pages answer questions directly), and citation signals (whether AI models have seen and retained information about your business). We measure AI visibility by tracking your brand across 12 AI engines for your target keywords and queries.

SEO optimises for traditional search rankings — getting your page to position 1 for a keyword. AEO (Answer Engine Optimisation) optimises for being cited inside an AI-generated answer — so when ChatGPT, Gemini, Perplexity, or Google AI Overviews respond to a buyer's question, your brand and content appear in the response. SEO ranks pages. AEO gets pages quoted, summarised, and linked from inside AI answers. The skills overlap but the tactics differ. AEO emphasises structured answers, schema markup, entity authority, and citation-worthy content. Both should run together — SEO drives traffic, AEO drives visibility in the new search surface.

No, and anyone who guarantees this is selling you something they can't deliver. AI models choose what to cite based on signals we influence but don't control: entity authority across the web, content structure, schema, domain authority, and the model's own training data and retrieval logic. What we guarantee: every signal AI models use will be optimised for your business, your brand presence across 25+ authoritative sources will be consistent, and you'll have monthly tracking that shows exactly where you stand across the major AI engines. Brands that do this work consistently see their AI mentions grow. The pace varies.

Three core signals: entity strength (how clearly and consistently your brand is identified across the web — Wikipedia, Wikidata, Google Knowledge Graph, industry directories), content structure (whether your pages directly answer the questions buyers ask, in a format AI can extract), and citation patterns (how often and from where your brand is mentioned by trusted sources). AI models also draw from their training data and real-time retrieval. Generative AI engines like ChatGPT use both. Answer engines like Perplexity lean heavily on real-time retrieval. Optimising for both is the work.

We track your brand across 12 AI engines for the specific queries your buyers ask. For each query, we measure: whether your brand is mentioned, how prominently it appears, whether it's recommended or merely referenced, and how often vs. your competitors. This produces a monthly share-of-voice metric per engine and per query. The result is a clear trend line — you can see whether your visibility is growing, stable, or shrinking, and which engines and queries are driving the change.

If buyers in your industry ask AI engines for recommendations, research, or comparisons, AI visibility matters. We\'ve seen meaningful traffic and pipeline impact across B2B SaaS, professional services, healthcare, real estate, ecommerce, and education — all sectors where buyers research extensively before purchase. The exceptions are industries where AI adoption is still low (heavy regulated industries, certain trades) — but even there, AI visibility is becoming a leading indicator. The audit tells you whether your specific audience is using AI engines for queries that matter to your business.

In Japan, the terminology shifts: AEO is referred to as LLMO (Large Language Model Optimisation) and AI Overviews as AIO. The technical work is largely the same — entity optimisation, schema, structured answers, citation building. The differences: Japan-specific AI engines (Yahoo Japan AI, domestic LLMs), bilingual Japanese/English entity work, and culturally-attuned content structure. We deliver Japan AI visibility audits in both English and Japanese, with citation source recommendations specific to the Japan market.

Some AI visibility wins are fast — schema implementation and direct-answer page rewrites can produce citation appearances within 4–8 weeks. Entity authority work compounds slower — building consistent brand information across 25+ authoritative sources is a 3–6 month process. AI share-of-voice on the major engines typically shows meaningful movement in 90–120 days, with substantial gains in 6 months. Faster than SEO. Slower than paid ads. The compounding is significant — once your brand is established in AI training data and retrieval indices, the visibility persists.