Marketing Services
AI engines answer your buyers every day. Manage what they say.
AI assistants are already part of your funnel, and most businesses have no idea what they say. Generative engine optimization (GEO) makes your brand the answer, and we measure how often you get named so you can watch it move.
LVL3 is an AI search optimization agency. Its generative engine optimization (GEO) program engineers the entities, citations, and content structure that AI assistants pull from when they answer buying questions. Measurement is a fixed set of category questions put to an AI assistant, recording how often the client is named and who is named instead. The result is tracked in the LVL3 portal.
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of getting a brand recommended inside AI answers. Traditional SEO competes for a link on a results page. GEO competes to be the source an engine cites when it writes the answer. The work is entity clarity, citations in sources engines trust, structured data, and content built to be retrieved and quoted.
The visibility you never see
When a buyer asks an AI engine who to hire, somebody gets recommended. Unmanaged, it's your competitor, and no analytics tool shows you it happened.
AI answers pull from entities, citations, and structured signals. Those can be engineered. Almost nobody is doing it yet, which is exactly why it works.
How AI search runs inside the system
GEO is not a bolt-on to SEO. It shares the entity and content foundations, then adds its own measurement layer: what each engine says about you, tracked and scored in the portal.
Citation rate, tracked over time
A fixed set of your buying questions goes to an AI assistant, and we record how often it names you and who it names instead.
Entity and citation engineering across the sources engines trust
Your business gets described the same way everywhere engines look, and cited in the places they actually pull from.
Content structured for retrieval, not just ranking
Pages carry a direct answer up top, clean schema, and quotable passages, so an engine can lift them without guessing.
Four measures, and what each one is good for
No single number tells you whether AI search is working for you, so we watch four, and none of them is a ranking. Two come from putting questions to an assistant, and two come from your own analytics, where the traffic those answers send actually lands.
| Measure | What it tells you | How it is taken | What it cannot tell you |
|---|---|---|---|
| Citation rate | How often an AI assistant names your business when it is asked a question you should win. The headline number, and the one that moves first when the entity and citation work lands. | A fixed set of category questions, built from your real sales conversations and then frozen, put to an AI assistant and scored on whether you are named. | Whether that answer earned anything. It is a presence measure, so it gets read next to branded search and assisted conversions, never instead of them. |
| Who else is named | The businesses appearing in answers where you do not. Usually the more useful half, because it names the specific competitors taking the citation and the pages that won it. | The same question run, recording every domain cited, not just yours. | Why they were picked. It gives you the target, not the reason, and the reason takes reading their pages. |
| AI referral traffic | People who arrived on your site from an AI assistant, separated out rather than dumped into direct traffic, along with what they did next. | Source and medium grouping in your analytics, reported as its own channel in the portal. | Anything about the answers that did not send a click, which is most of them. |
| Branded versus non-branded | Whether search demand for your name is growing. AI answers often resolve without a click, so people who saw you in one frequently show up later as a branded search. | Your Search Console queries split into branded and non-branded, tracked as a share over time. | Attribution. It is a correlation you read alongside the rest, not proof any single answer caused anything. |
The question set is yours, not a template. We build it from your real sales conversations, then freeze it, because a measure only means something when the questions stay the same. Adding a question starts a new baseline, so new questions go into a second set and get tracked separately.
A measure you can check, not a score you have to trust
Citation rate is a share, not an index. Out of the questions in your set, how many answers name you. There are no weights to publish because there is no formula: it is a count over a fixed denominator, which is the whole reason it is worth anything.
That makes it checkable. You can take a question off your own list, put it to an assistant yourself, and see whether the answer matches what we reported. Very few marketing metrics survive that test.
The question set is frozen
Built from questions your buyers actually ask, then locked. A share only means something when the denominator holds still, so new questions start a second set rather than quietly changing the first.
Every domain gets recorded
Not just whether you appear. The full list of who got named is what turns a number into a list of things to do.
The trend is the product
These systems are non-deterministic, so a single run is close to meaningless. Three points on a line is the smallest thing worth acting on.
It is read next to revenue
Presence sits in the portal beside search and revenue, because a rising citation rate next to flat pipeline is a finding, not a win.
The measure tells you whether you're in the answer. It doesn't tell you what the answer earned.
It isn't every engine
We measure against one AI assistant, not the whole field. It is a sample of how these systems answer your category, and we would rather say that than publish four numbers we do not produce.
It isn't traffic
AI answers often resolve with no click at all, so a rising citation rate can sit next to flat sessions. We report it alongside branded search volume and assisted conversions, never instead of them.
It isn't stable to the decimal
These systems are non-deterministic. Ask the same question twice and you can get two answers. That's why the question set is large and frozen, and why we read a trend instead of a one-month wiggle.
It isn't a promise about any single answer
Nobody controls what an assistant says. We change the inputs it reads, and the answers follow over weeks, not hours.
What you actually receive
Month one builds the baseline and fixes the foundations. After that the work settles into a rhythm: measure, engineer, correct, report. Everything lands in your portal and in accounts you own.
- A citation baseline: your question set run and every answer recorded, yours and everyone else named
- Your frozen question set, built from real sales questions and signed off by you
- An entity audit: every place your business is described, and every place those descriptions disagree
- Schema and structured data fixes shipped to your site, not just recommended
- A citation gap list: the sources that get cited in your category and never mention you
- A share-of-answer benchmark against the three competitors you actually lose to
- The question set re-run, and the citation share updated in your portal
- Citation and mention work against the gap list, ordered by what gets cited most in your category
- Retrieval-ready page work: a direct answer up top, clean headings, quotable passages
- Corrections filed wherever something false about you is being repeated back
- A written note in the portal on what moved, what didn't, and what we changed
- Answer records kept, so you can read what an assistant said about you six months ago
What changes, and when
None of this needs a 12-month contract to make sense. This is the honest shape of a first quarter, including the stretch where nothing looks like it's happening.
Weeks 1 and 2: baseline and diagnosis
We build the question set with whoever talks to your buyers, run the first measurement, and pull the entity audit. You find out what an assistant says about you today, including the parts that are wrong. No site changes yet.
Weeks 3 to 6: foundations shipped
Schema, entity consistency, and retrieval structure on your highest-intent pages, plus the top of the citation gap list. This is the least visible stretch and the one everything after it depends on. The number usually holds flat here.
Weeks 7 to 12: movement you can see
Presence moves first, and it moves on long-tail questions before head ones. The second and third runs give you a trend instead of a data point, and the work reprioritizes toward the question themes responding fastest.
What you get
- A citation baseline, then tracking against it
- Entity optimization and structured data
- Citation and mention building
- llms.txt and retrieval-ready content architecture
- Competitor share-of-answer tracking
Case metrics are illustrative placeholders pending client approval to publish named results.
AI search, answered straight.
How is GEO different from SEO?
SEO competes for a position on a results page. Generative engine optimization competes to be the source an assistant cites when it writes the answer instead. The foundations overlap, because both need clean entities and crawlable pages, but the measurement is completely different: rankings and clicks on one side, whether you get named inside an answer on the other. Most clients run both, on the same content.
Can you control what AI says about my company?
No, and nobody can. What we control is the inputs: the pages assistants crawl, the third-party sources they trust, the structured data that resolves your entity, and the factual errors we get corrected at the source. Change enough inputs and the answers follow. Anyone guaranteeing you a spot in an AI answer is guessing.
How long does GEO take to work?
Presence on long-tail questions often moves inside 60 to 90 days, because those answers have fewer competing sources. Head questions take longer, usually two to three quarters, and they track your broader authority. You get the measurement either way, and you can check it yourself against your own question set.
Does GEO replace SEO?
No. AI assistants mostly cite pages that already rank, so an AI answer strategy sitting on a weak search foundation has nothing to pull from. GEO adds an entity layer, a citation program, and a measurement layer on top of the search work. Cutting SEO to fund GEO is the fastest way to lose both.
How do you measure AI visibility?
A frozen set of buying questions, built from your real sales conversations, put to an AI assistant and recorded: whether you are named, and which other businesses are. That share is tracked in your portal next to your search and revenue data. It samples one assistant rather than every engine, and because these systems vary between runs, the trend is what we act on.
What do I own if we stop working together?
All of it. The question set, every answer recorded since the baseline, the entity documentation, the schema on your site, the citation gap list, and the dashboards. Clients underrate the record. It's the only account of where you started, and it can't be rebuilt after the fact.
Start by finding out what AI says about you.
One call, a week of analysis, and you get scored on every engine your buyers actually use. You keep the score whether you hire us or not.
Book a systems audit