Get cited where
buyers now decide. GEO by Elyseum.

GEO is the practice of making your brand visible inside the answers that AI engines generate, so ChatGPT, Google AI Overviews, Perplexity or Gemini name and recommend you when a buyer asks about your category. Where classic optimization competes for positions on a results page, GEO competes to be one of the few sources an assistant actually cites. The fundamentals still apply, because engines reward sites that are crawlable, well structured and genuinely authoritative, but generative systems also look for extractable phrasing, verifiable entity data and mentions across the surfaces they already trust.

SEO earns rankings, while GEO earns citations inside a generated answer, and the two are run as one program because engines rely on the same underlying signals of authority, relevance and freshness. On top of that shared foundation, GEO adds placement on the third-party surfaces large language models quote, measurement of AI share of voice, and content engineered to be lifted directly into responses. Treating them separately leaves half the picture dark, which is why every Elyseum engagement covers both.

We track four families of indicators and report them monthly beside your organic and revenue KPIs: your share of voice on a fixed panel of category prompts across the major engines, citations earned per asset, AI-referred traffic and engagement benchmarked against our proprietary research, and branded search lift. Each engagement starts with a measured baseline in week one, so every later report shows movement against real numbers rather than impressions.

Our recommendation evolves with your category, budget and how heavily your buyers lean on AI assistants. Several strong monitoring platforms exist, each with different coverage, pricing and depth of reporting, and the right choice depends on the strategy we run for you. Rather than locking every client into one tool, we match the stack to the use case and are happy to recommend a setup after we understand your specific situation.

Almost nobody starts with proprietary data, and it is never a blocker. We can generate citable insights from scratch: running original surveys, mining your anonymized product or platform statistics, or recombining existing third-party research in a way nobody has published before. Every company holds knowledge that can be shaped into original numbers, and original data consistently earns more citations than rehashed commentary.

Early wins from owned content and freshness fixes typically appear within the first quarter. Citation share itself builds over roughly three to six months as engines re-index your assets and the placements we earn start appearing in answers. That compounding curve is exactly why programs launched now pull further ahead each month, while late starters spend their budget chasing an answer set that has already hardened.

No, and a good audit is what tells you which ones matter. Our BlueprintIQ diagnostic maps where your citation gaps actually are: some brands urgently need presence on community platforms, others need editorial placements, others mainly need a content freshness overhaul. Your roadmap is sequenced by gap size and revenue impact, not by whatever is easiest to sell.