Our Story
We started out building private AI systems for organizations whose data couldn't leave the building. That work is what taught us how these models actually think.
Healthcare organizations can't send patient data to a cloud API. Financial firms can't pipe transaction data through third-party servers. Manufacturers can't upload proprietary process data to a model they don't control. So we built AI that runs inside their walls, on their hardware, under their control — and we shipped it, supported it, and handed over the source.
Spending years that close to language models teaches you something most marketing firms never see: how a model decides what to believe. Which sources it weighs. Where it's confidently wrong. What makes it name one company and not another.
Then the ground moved. People stopped opening search engines and started asking assistants — and the answers coming back were naming businesses, dismissing others, and getting a lot of it wrong. Every one of those answers was a decision made without the business in the room. Nobody was measuring it, and the SEO industry was still selling rankings on a page that fewer people were opening.
So we built the platform we already knew how to build. AI Search Optimization is not marketing with an AI label on it. It's an engineering problem — measuring what models say, tracing why they say it, and changing the inputs — being solved by people who have been inside these systems for years.
Along the way we built Gorace too, because a hard computer vision problem in aviation turned out to be too interesting to leave alone.
How We Operate
Measure, Don't Assert
Every engagement starts with a baseline and ends with the same measurement run again. If the work didn't move the number, we say so and change approach.
We Build It Ourselves
Engineers who ship, not a consultancy that hands you a slide deck and an invoice. The people who scope your work are the people who do it.
Straight Answers
Nobody controls what the models say, and anyone guaranteeing you the top recommendation is selling something. We'll tell you what's achievable and what isn't.
Why an AI Company Is the Right One for This
AI Search Optimization looks like a marketing problem from the outside. It isn't. Getting recommended by a language model means understanding retrieval, how models weigh corroborating sources, why they hallucinate a competitor's feature onto your product, and what actually propagates when you change something on the open web.
Those are engineering questions. The agencies pivoting into “AI SEO” are learning them now. We've been living in them — building retrieval systems, fine-tuning models, and debugging why a system confidently produced the wrong answer — since well before anyone needed a name for this.
It also means we're honest about the limits. We can't reach inside a model. What we can do is measure your position rigorously, find the levers that genuinely move it, pull them, and measure again. That's the whole method, and it's more than most of the market is offering.
How We Compare
| Novega | SEO Agency | Do It Yourself | |
|---|---|---|---|
| Optimizes for | Being the AI recommendation | Search engine rankings | Whatever you can measure |
| Measurement | Assistants asked on a schedule | Rank trackers and analytics | Manual spot checks |
| Platform coverage | Every major AI assistant | Usually Google only | Whichever you remember to check |
| Built by | AI engineers | Marketers learning AI | Your team, part time |
| Also builds AI systems | Yes — that's the day job | No | Not usually |
| Guarantees | None, honestly stated | Often, dubiously | — |