What is generative engine optimization (GEO)?
How AI assistants choose which sources to cite, and what you can change.
Guide
How language models learn about your business, and how to check and fix what they say.
LLM SEO is the job of making sure that ChatGPT, Claude, Gemini, Perplexity and other language models describe your company correctly and name it when a buyer asks about your line of work. A model picks up information about a business through two channels: the material it was trained on, and the pages it looks up while composing a reply. Good LLM SEO covers both channels.
| Trained knowledge | Lookup during the reply | |
|---|---|---|
| When the model gets it | months before the question, up to a cutoff date | at the moment of the question |
| Source | a large snapshot of public texts | a handful of pages found right then |
| How soon your fixes count | after the provider ships a newer model | once the page is crawled again |
| What you can work on | the number of public texts that name you, and whether they agree | your site, plus other sites that name you |
| Typical sign | usually a reply with no links | a reply that lists its sources |
Today’s assistants mix both. Linked sources nearly always mean a lookup took place. No links does not prove there was none, so ask the same question twice, once with browsing off and once on, and compare.
Ask the four test questions below in ChatGPT, with browsing off and on, twice each, and save every reply.
Add Perplexity and Gemini next month.
Mark each wrong fact and, where links appear, the page it came from.
Fix or redirect outdated pages on your own site: old price lists, archived posts, help articles, PDFs, campaign landing pages.
Update your profiles on directories and review sites so they match your site.
Email the owners of third-party pages that state something wrong about you and ask for a correction.
Then repeat the test questions once a month.
Run each one three times, because replies change between runs. This is a short version of the method in our GEO guide, which uses a longer list of buyer questions.
Linked sources nearly always mean a lookup took place.
The fix depends on where the old number comes from.
We have no published before-and-after numbers on this topic yet, so treat the timelines in this guide as expectations, not guarantees.
Page layout, such as answering first and using tables, is covered in our AEO checklist. For LLM SEO, also check:
A model forms its picture of a brand from many sources, not only from the brand’s own site. In practice:
The fix depends on where the old number comes from.
llms.txt is a suggested text file, placed at the site root, that points language models to the pages a company considers most important. It takes little time to add, but we know of no public evidence that it changes how often assistants mention or cite a site. We see it as optional and do the work above first.
Each month, after running the four test questions, note:
Corrections on pages that browsing reaches can show up sooner. The trained memory moves only with a new model release, on a schedule vendors keep to themselves.
There is a big overlap. GEO is about being named and linked in AI replies, and in most products those replies browse the web first. LLM SEO takes that and adds a second question: what does the model believe about you without browsing, and is it accurate. The day-to-day tasks are largely the same.
Block training bots only for a clear reason, such as protecting paid content. Leave OAI-SearchBot, PerplexityBot and similar search crawlers allowed if you want your pages linked in browsing replies.
For replies that use search, changes often appear within weeks of the sources being fixed, but providers set their own refresh schedules and we cannot promise a date. For the model’s trained knowledge, only after the next model release. We cannot promise what the next version will say, but accurate pages and profiles give it better material to learn from.
Mostly with monthly tracking and the work on other sites. See our AI search optimization service, or our white label offer if you run an agency.
Keep reading
How AI assistants choose which sources to cite, and what you can change.
How answer engines pick a source and what to check on your pages.
Who does the work, who owns the client and how reports and pricing work.
A practical split of SEO work between your team and an outside agency.