Generative Engine Optimization
Become the source models cite. We engineer how AI reads, trusts, and recommends your brand.
Generative engines don't return ten blue links — they return a single, synthesized answer. Generative Engine Optimization is the practice of making your brand the source that answer is built from: cited, paraphrased, and recommended inside ChatGPT, Claude, Gemini, Perplexity, and Google's AI surfaces.
We work backwards from the questions your buyers actually ask machines, then engineer the signals — structured facts, corroborated claims, and off-site mentions — that make models reach for you instead of a competitor.
Some businesses want a dedicated Generative Engine Optimization consultant rather than a six-discipline retainer — we scope engagements that way too, from a single audit to an embedded program. LumiRank works remotely with clients across the Greater Toronto Area and the rest of Canada, and a few people in the industry now call this discipline "relevance engineering": making sure the exact fact or passage a model needs is the one it finds, in your words, first.
At a glance
Answer-intent mapping
We map the prompts your market uses and the answers models currently give — exposing exactly where you're absent or misrepresented.
Source engineering
Content shaped to be quotable and verifiable: clear claims, structured facts, and the corroboration models look for before they cite.
Citation building
Off-site mentions and references across the sources models trust, so your brand is corroborated, not just self-asserted.
Answer monitoring
Continuous tracking of how — and whether — each engine names you, with a weekly plan to move the needle.
Want to be the brand the models name?