Give AI Search a Reason to Name Your Brand.

LLMO (large language model optimisation) is the practice of improving how often and how accurately a brand appears in answers generated by AI assistants and AI search features. It overlaps with what others call GEO (generative engine optimisation) or AEO (answer engine optimisation). In practice, it combines research into what AI systems say today with work on the sources and content they draw from.

It is the deliberate work of earning relevant third-party coverage of your brand in industry publications, comparison articles, reviews, expert roundups and communities. The aim is for credible sources to describe what you do consistently and accurately, whether or not they link to you.

SEO focuses on ranking your pages in search results. LLMO focuses on whether your brand is named, described and cited inside AI-generated answers. They share foundations such as crawlable content, authority and relevance, but LLMO puts more weight on what other sites say about you, because answers often synthesise several sources.

AI answers are typically built from information found across many sources, and some systems retrieve pages from the live web when responding. When reputable, relevant sources consistently mention a brand in a category, that brand has more opportunities to be surfaced and described. Mentions improve the odds; they don't dictate the output.

Yes. Backlinks remain an important signal for traditional search rankings, and strong organic rankings can also influence which pages AI search features retrieve. We treat links and mentions as complementary, and many placements we earn provide both.

No, and you should be cautious of anyone who does. AI providers don't publish exactly how their systems choose sources, answers vary between runs and models change frequently. What we commit to is a transparent process, genuine editorial placements and regular reporting on how your visibility is moving.

We track visibility across major assistants and AI search experiences, including ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, Claude and Microsoft Copilot. The underlying work of earning credible third-party coverage isn't tied to any single platform.

We build a set of prompts that reflect real buying questions in your category, run them repeatedly across platforms and log the brands mentioned and the sources cited. Sources that mention competitors but not you, or describe you inaccurately, become the priority list.

Early progress, such as new placements going live, usually shows within the first couple of months. Measurable shifts in AI visibility tend to take longer, often several months, depending on how competitive your category is and how established your brand already is. We set expectations once the baseline is complete.

Yes, and it usually works best that way. We can collaborate with your in-house team or current agency, or combine LLMO with Marketing Lad's SEO and link building services so research and outreach aren't duplicated.

Yes. Earning placements on relevant third-party sites is core to what we do, through outreach, digital PR, expert commentary and editorial collaborations. We don't promise coverage on specific publications before the research is done, because relevance to your category matters more than any single name.

We re-run your prompt set on a fixed schedule and report on share of voice across platforms, the sources cited in your category, new mentions earned, how accurately you are described and, where trackable, referral traffic from AI surfaces. Because answers fluctuate, we focus on trends across repeated runs.