A language model does not rank your page. It decides whether to name you at all, and that is the job of an LLM optimization agency.

You still need SEO. A lot of the same work feeds both, and Google's AI answers run on Google's own index, so good technical SEO carries straight into them.

What is new is the measurement and the brand identity work. Rank tracking will not tell you whether ChatGPT names you, so we run the questions directly. And because an AI tool has to decide who a claim belongs to, being a clearly defined brand matters more here than it does for a ranking position. We run both together on one report.

Your real buying questions run live on every AI tool in scope, with the answers recorded and dated. You get where you show up, where a competitor shows up instead, the page they were pulled from, and the reason behind each gap.

Then a fix list in priority order, written clearly enough for your own developers. The raw answers come attached so you can check any finding yourself. It is free, and it is yours to keep whatever you decide.

Two ways at once. Some of it is what the model already learned about your industry, which is why big names get mentioned even without a search. The rest comes from pages the tool fetches while it answers, and those are the ones that get linked.

You win a mention when the answer is clearly on your page, the page makes it obvious who is saying it, and something outside your own website backs you up. That is the work.

We do the work. Schema into your templates, pages rewritten and restructured in your CMS, crawler rules into your config, proof pages built where your claims need backing.

Our own engineers ship it, the same people who work on production code. You approve the plan first, every change is documented, and we rerun your questions afterwards so you can see what moved.

It depends on the tool and the fix, so here is the honest version. Tools that fetch pages while they answer, Perplexity most obviously, can pick up a change within days of a recrawl. Google's AI answers move on Google's timeline, so think weeks.

What the model learned during training only shifts when the model itself updates, which is slower. That is why we start with brand clarity and outside proof: those keep paying off across every tool and every update.

Yes, and we will be precise about why. No AI tool publishes a rule saying good schema earns you a mention. What schema does is remove doubt about what your page is, who published it and which company the claims belong to.

On Google surfaces the benefit is most direct, because they run on Google's own index and entity data. Everywhere else it works by making your brand unmistakable. We build it, validate it, and check it agrees with what the page actually says.

Yes to the first, no to the second. Plenty of clients keep content and strategy in-house and use us for the technical, schema and brand identity work. We fit your ticketing process and document everything as we go.

There are no lock-in contracts. Start lean, scale when the numbers justify it, and if you leave we hand over the question set, the tracking setup and the documentation so your team keeps what was built.