LLM Optimization & Answer Engine Optimization
More and more buyers ask an assistant before they ask Google. We make sure that when ChatGPT, Gemini, Perplexity or an AI Overview answers a question in your category, your business is one of the sources it uses.
Search is turning into a single answer
For twenty years, winning search meant appearing in a list and earning the click. That is changing. A growing share of questions now get answered in place: an AI Overview at the top of Google, a paragraph in ChatGPT, a summarised response in Perplexity with three or four cited sources underneath.
In that format there is no page two. Either you are one of the handful of sources the model draws on, or you are invisible for that question. Answer engine optimization, sometimes called LLM optimization, is the work of becoming one of those sources.
It is not a replacement for SEO and anyone telling you otherwise is selling something. Assistants pull heavily from pages that already rank well and from sites that are fast, crawlable and clearly structured. AEO is a layer on top of solid search fundamentals, aimed at a different output format.
What the work actually involves
Six workstreams. They run together, because assistants fail on the weakest one.
Prompt and query research
We map the questions buyers actually type into ChatGPT, Gemini, Perplexity and Google AI Overviews, not just the keywords they type into a search box.
Answer-first content
Pages that state the answer in the first paragraph, then support it. Language models quote passages, so the passage has to stand alone.
Structured data and entity markup
Organization, Service, Product, Article and FAQ schema so machines can tell what your business is, where it operates and what it sells.
Crawler access for AI agents
robots.txt, llms.txt and server rules reviewed so the assistants you want to be cited by can actually reach your content.
Citation and mention building
Assistants lean on third-party sources. We work on the directories, profiles and publications that models tend to pull from.
Visibility tracking
We run a fixed set of prompts on a schedule and record whether you are mentioned, how you are described, and who is named instead.
How an engagement runs
Baseline
We run your key buying questions through the major assistants and record what they say today.
Diagnose
We work out why you are missing: no crawlable answer, weak entity signals, thin third-party mentions, or all three.
Rebuild
Content, schema and technical access get fixed together, because assistants fail on any one of them.
Re-test
Same prompts, same schedule, tracked over time so you can see whether mentions are moving.
Who this is for
AEO earns its keep when your customers research before they commit. An attorney, a specialist clinic, a roofing company, a B2B software vendor, a financial adviser: in all of those categories the buyer asks a question in plain language and takes the shortlist the assistant gives them seriously.
It earns its keep less for pure impulse retail, or for businesses that win almost entirely on walk-in traffic. If that is you, we will say so on the call and point you at local SEO or paid advertising instead.
We are based in Central Arkansas and work with businesses across Arkansas and the surrounding states, though this particular service is not geography-dependent.
LLM & Answer Engine Optimization FAQs
Pair With AEO
Get better results by combining services that work together.
Find out what the assistants say about you
We will run your category questions through the major models and show you the baseline before you commit to anything.