Generative Engine Optimization is the practice of structuring your site, content, and entity profile so that large language models cite, paraphrase, or directly recommend you when a user asks a question relevant to your business. It is the answer-engine successor to SEO, and the two now coexist in every serious content strategy.
The terminology in our industry is still settling. You will see 'GEO,' 'AEO' (Answer Engine Optimization), 'LLMO' (Large Language Model Optimization), and 'AISO' all used roughly interchangeably. We use GEO because it is the term that has been adopted in the most-cited 2024 academic paper on the subject (Aggarwal et al., Princeton/Georgia Tech), and because it is the one Google itself now uses internally.
There is no single 'AI search market' anymore — there is a fragmented set of generative answer surfaces, each with its own crawler, citation logic, and update cadence. Optimizing for one does not automatically optimize for all of them. The four that matter for a Canadian business in 2026 are:
After two years of running controlled experiments across client sites, we have settled on a 12-factor model that maps to what AI engines actually retrieve and cite. The signals are a superset of classic SEO — meaning everything that worked for Google still helps, but you now need to add a layer of AI-specific structure on top.
Trying to do all twelve factors at once is the single biggest mistake we see in-house teams make. Below is the sequenced plan we run for new clients. It assumes you already have a credible technical-SEO foundation; if you do not, fix that first.
Several long-standing SEO tactics are now actively counterproductive for AI search. The clearest examples:
This pillar is the map. Below are the 15 deep-dive guides that make up the rest of the AI Search Optimization hub. Read them in any order — most clients start with the engine playbooks (ChatGPT, Perplexity, Google AI Mode), then move to the technical foundations (llms.txt, schema), then measurement.
No. The two are now layered. Classic SEO still drives the largest share of measured traffic for almost every business we work with. GEO is the additional layer that determines whether you appear when a user asks the question inside an AI surface. The smart 2026 strategy is to do both, and to write content that earns citations from AI engines and clicks from the SERP at the same time. The good news is that almost every signal that helps with GEO also helps with classic SEO.
Faster than classic SEO. Because LLM retrieval is recrawled frequently and because there is far less competition for the optimization signals, we typically see citation share start to move in 4–6 weeks for clients with a credible existing site. Pages that were already indexed and ranking on Google often start being cited inside ChatGPT or Perplexity within 14 days of the rewrite.
It depends on your business model. If you sell content (publisher, course creator, paid newsletter), the right move is usually to allow the retrieval bots (PerplexityBot, OAI-SearchBot, Google-Extended for AI Overview retrieval) and block only the training-only bots. If you are a service business and the citation is the goal, allow everything. We cover the bot-by-bot decisions in the dedicated 'How AI Crawlers Work' guide.
Three layers. First, the AI Citability Score — a per-URL audit that tells you whether a page is technically ready to be cited. Second, citation-share tracking — counting how often your domain appears in answers to a defined prompt set. Third, downstream business signals — branded search lift, direct traffic from cited URLs, and the new 'Referrer: chat.openai.com / perplexity.ai' analytics segments. The 'How to Track AI Citations' guide has the full methodology.
Rewrite the opening paragraph of your top 10 commercial-intent pages into 'answer-first' form — the inverted-pyramid summary that gives the model a clean, citable, declarative answer in the first 80 words. Pair that with a properly-marked-up FAQ at the bottom and you will see citation lift inside 30 days. Everything else is amplification.