Become a citable entity
Clear, structured, factual content plus schema and a well-defined brand entity — so the models can understand exactly who you are and quote you with confidence.
Buyers no longer scroll ten blue links — they ask an AI and trust the answer. We get Toronto businesses cited, linked and recommended inside ChatGPT, Gemini, Perplexity and Google AI Overviews — and keep them there.
What's included
Getting cited by AI comes from the whole stack working together — clear, structured, factual content the models can parse, a well-defined brand entity, citations and mentions across the web LLMs train on and retrieve from, and the schema and freshness signals that make you the source they trust. We build and run all of it as one managed program.
A clear, consistent picture of who you are, what you do and who you serve — the entity AI engines resolve to and cite confidently.
Getting cited and recommended for the prompts your buyers ask across ChatGPT, Gemini, Perplexity and Google AI Overviews.
Earned mentions and links across the authoritative sites and sources LLMs train on and retrieve from — the raw material of every AI answer.
Clear, factual, well-organized pages with direct answers, headings and data points models can lift and quote verbatim.
Question-led pages and FAQs that match how people actually prompt AI — the source it pulls when someone asks about your category.
Wikipedia, Wikidata and authoritative third-party references that confirm your brand exists and is trustworthy to cite.
Organization, FAQ and Product/Service markup plus llms.txt and clean feeds so engines parse your facts without guessing.
We monitor whether ChatGPT, Gemini, Perplexity and AI Overviews actually cite you — and report share of AI answers, not vanity metrics.
Being left out of an AI answer is invisible. Being the brand it names, links and recommends is worth everything. We climb you up the visibility ladder — from not mentioned, to mentioned in passing, to the cited source the engine recommends across Toronto and your wider markets.
The Patrick OS dashboard tracks where you stand in the answers across every generative engine for the prompts your buyers ask — refreshed every 24 hours. Not a monthly PDF. A live file you log into the day you sign.
Toronto coverage
When someone asks an AI for the best in their part of town, it answers with a name. We make that name yours — building location-aware content and entity signals so Toronto businesses get recommended across every pocket of the GTA and beyond.
What gets you cited by AI
A citable entity, earned mentions and trusted freshness signals compound on each other — so we work them in sequence, not all at once.
Clear, structured, factual content plus schema and a well-defined brand entity — so the models can understand exactly who you are and quote you with confidence.
We build earned brand mentions and links across the authoritative sites LLMs train on and retrieve from — the single strongest signal for getting cited in AI answers.
Up-to-date facts, llms.txt and clean feeds, plus references from sources the engines already trust — so when they retrieve, they reach for you and quote the current truth.
How we work
No mystery, no 12-month lock-in. Here's exactly what happens after you reach out.
We check which AI engines already cite you, run the prompts your buyers ask, audit your content, entity and schema, and show you the gaps quietly handing answers to competitors.
A clear brand entity, citable structured content, Organization and FAQ schema, llms.txt and clean feeds — the base that lets AI engines parse and quote your facts without guessing.
The compounding work: helpful answer-led content, earned brand mentions and citations across the authoritative sources LLMs retrieve from, and knowledge-graph signals that push you into the answers — and keep you there.
A live dashboard of where you're cited across every engine, refreshed daily — not a monthly PDF. We double down on the prompts and engines that are sending you qualified buyers.
GEO, done differently
Here's the pattern we see when brands come to us from other agencies — and how we work instead.
Patterns drawn from brands that have migrated to us from other agencies. Read the case studies →
Generative Engine Optimization
SEO is about ranking links on a results page. Generative engine optimization (GEO) is about being the source an AI actually cites and recommends when someone asks it a question — inside ChatGPT, Gemini, Perplexity and Google AI Overviews. The win isn't a position; it's a mention, a link and a recommendation in the answer itself.
The two overlap — strong, well-structured content helps both — but GEO adds entity definition, citation-building and freshness signals tuned to how language models retrieve and synthesize, not how a search index ranks.
When someone asks a question, the engine retrieves relevant content from the open web (and structured data), ranks it by how authoritative and clearly-matched it is to the prompt, then synthesizes an answer that may cite a handful of sources. It favours content that's factual, well-structured and confirmed by other trusted sources.
Our whole focus is making your brand the easiest, most trustworthy thing for that pipeline to reach for — a clear entity, citable content, and earned mentions across the sites those models retrieve from.
All the ones your buyers actually use: ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Microsoft Copilot. They share the same underlying need — a citable, trustworthy entity — so the foundation work compounds across every engine rather than chasing each one separately.
Your Patrick OS dashboard tracks where you stand in each, so you can see exactly which engines cite you for which prompts, refreshed daily.
AI engines cite what they understand and trust. A defined entity — consistent facts about who you are, what you do and who you serve, backed by Organization and FAQ schema and references like Wikipedia and Wikidata — lets a model resolve "you" unambiguously and quote you with confidence.
Without those signals, the engine isn't sure you're a real, authoritative source, so it reaches for a competitor or a directory instead. Building that entity is the first lever we pull.
We track real citations, not vanity metrics: for the prompts your buyers ask, are you cited? Linked? The recommended pick? We report citation frequency, citation accuracy and your share of AI answers across each engine — the GEO equivalent of share of voice.
It all lives in a live Patrick OS dashboard refreshed every 24 hours, so you watch your status climb from "not cited" to "cited and recommended" rather than waiting for a monthly PDF.
Some wins land fast: once your entity, schema and citable content are in place, engines can begin picking you up within weeks. Realistically, the compounding gains in citations and earned mentions build over 3–6 months — GEO is a build, not a switch, because models re-train and re-crawl on their own cadence.
Any agency promising you'll be ChatGPT's top pick in a week is overpromising. During the free audit we'll tell you honestly what timeline to expect for your category and how contested it already is.
Yes. Multi-location and multi-market brands are a strong fit. Each market gets its own answer-led content and location signals — so when someone asks an AI for the best in their part of the GTA, the engine resolves to the right branch of your brand rather than blending them or handing the answer to a competitor.
Everything rolls up into one Patrick OS dashboard so you can compare AI visibility across markets at a glance.
A growing share of buyers now ask an AI before they ever reach a search results page, and the answer often names just one or two brands. If that's a competitor today, they're compounding trust signals while you wait — and entity and citation authority take time to build, so catching up later is slower and harder.
You don't have to bet the budget on it. We work month to month, ship inside 30 days, and you keep everything we build — so getting in early carries almost no downside.
The framework is the same — Phase 1 foundation, then ongoing authority. The difference is calibration for AI answers: brand-entity definition, citation and mention building across the sources LLMs retrieve from, llms.txt and structured feeds, freshness signals, and tracking your share of AI answers rather than blue-link rankings.
If you want to be the brand AI recommends, this page is your starting point. For traditional Google Map Pack and "near me" visibility, see the general Local SEO page →