This is not a future problem. It is a right now problem.
I have been tracking AI search citations across my client portfolio since mid-2025. The pattern is impossible to ignore. More and more of the queries that used to send clicks to websites are now being answered directly by AI, ChatGPT, Perplexity, Google AI Overviews, and Gemini.
The question is not whether AI search matters. It does. The question is what you can actually do about it today, with the tools and knowledge we have right now.
After working on AI visibility across 30+ client sites, here is what I have found actually moves the needle.
What LLM optimization actually means
LLM optimization (sometimes called GEO, generative engine optimization) is the practice of making your content more likely to be cited by large language models when they answer user queries.
It is different from traditional SEO in a few important ways:
There are no positions. In Google, you are ranked 1st or 5th or 20th. In an LLM response, you are either cited or you are not. There is no "position 3 in ChatGPT."
The citation logic is opaque. Google's ranking factors are well-studied. LLM citation patterns are still being understood. We know some things (more on that below) but the models change constantly.
Brand mentions matter more. LLMs learn about your brand from the broader web, not just your website. What Wikipedia says about you, what Reddit threads mention you, what industry publications reference you, all of this feeds into whether an LLM mentions your brand in an answer.
What I have seen work (real data, not theory)
Across the client sites I manage, here are the patterns I have observed in getting AI citations:
1. Be the most comprehensive source on your topic
This is the single biggest factor I have seen. LLMs cite sources that cover a topic completely. Not the longest content, but the most thorough.
For Doctor Nir, we built comprehensive procedure pages covering everything a patient would want to know, from candidacy criteria to recovery timelines. The result: 71 Google AI Overview citations across 20 pages. The pages that got cited were the ones that answered the full question, not just part of it.
2. Structure content for extraction
LLMs parse your content to extract answers. The easier you make it to extract, the more likely you are to be cited.
What works:
- Clear heading hierarchy (H2 for topics, H3 for subtopics)
- Direct answer in the first sentence after each heading
- Lists and tables for data-heavy content
- Schema markup (FAQPage, HowTo, Article) that gives structured context
- Short paragraphs (3-4 sentences max)
What does not work:
- Burying the answer deep in long paragraphs
- Relying on clever formatting that machines cannot parse
- Content that requires reading the entire article to understand any single point
3. Build entity presence across the web
This is where LLM optimization diverges most from traditional SEO. Your website alone is not enough. LLMs build their understanding of your brand from the entire web.
For NashBio, we earned 13 Google AI Overview citations partly because we built referring domains from health publications that mentioned the brand in context. The LLM saw NashBio referenced across multiple authoritative sources and associated it with healthcare comparison topics.
What to do:
- Get mentioned (not just linked) on industry publications
- Maintain accurate profiles on Wikipedia, Crunchbase, LinkedIn
- Participate in relevant Reddit and forum discussions authentically
- Earn coverage on Search Engine Land or Search Engine Journal if you are in the SEO space
- Build backlinks from sites that LLMs are known to crawl and reference
4. Publish original research and data
LLMs love citing statistics and original findings. If you can publish first-party data, survey results, case studies, or benchmarks, you become citable.
This is why the case studies on our site earn AI citations. They contain specific numbers from real campaigns that cannot be found elsewhere. When someone asks an LLM about healthcare SEO results, it has limited original data to reference.
5. Keep content fresh
LLMs have training cutoffs, but many now have access to real-time search. Google's documentation emphasises content freshness as a quality signal, and AI systems inherit that preference.
Content with "Last updated: March 2026" signals to both Google and LLMs that the information is current. Content from 2023 with no updates gets passed over for newer, more relevant sources.
What does NOT work for LLM optimization
I have also seen plenty of tactics that sound good in theory but do not produce results:
Keyword stuffing for LLMs. Adding "as mentioned by ChatGPT" or "AI recommends" to your content does not make LLMs cite you. They do not work like that.
Creating content specifically for LLM training. You cannot game what gets into training data. Focus on creating genuinely useful content and the citations follow.
Ignoring traditional SEO. Here is the uncomfortable truth: most LLM citations go to pages that already rank well in Google. AI Overview citations often come from the top organic results. If you are not ranking in Google, you are probably not getting cited in AI answers either.
The tools I use for LLM monitoring
There is no "Search Console for LLMs" yet. Monitoring AI visibility requires a combination of:
- Manually querying ChatGPT, Perplexity, and Gemini for your target keywords and checking if your brand appears
- Tracking referral traffic from ai.chatgpt.com, perplexity.ai, and other AI sources in GA4
- Using DataForSEO to monitor AI Overview citations at scale
- Setting up brand mention alerts for your company name across the web
It is manual and imperfect. But it gives you directional data on whether your LLM optimization efforts are working.
My honest take on where this is heading
I think LLM optimization is going to become as important as traditional SEO within 2 to 3 years. The usage numbers are going in one direction. ChatGPT search grew 170% in the last 3 months. AI Overviews now appear in a significant percentage of Google searches.
But right now, in 2026, the best LLM optimization strategy is also the best SEO strategy: create genuinely comprehensive, well-structured, authoritative content, build real brand presence across the web, and earn citations through quality rather than tricks.
The brands that will dominate AI search are the ones doing good SEO today. This is not a new discipline that replaces everything you know. It is an extension of it.
Further reading
- Google's guidance on creating helpful content (Google Search Central)
- How we're adapting SEO for LLMs and AI search (Search Engine Land)
- Google AI Mode sends traffic on 69% of transactional queries (Search Engine Land)
