Illustration: an AI assistant splits a buyer’s question into several searches, cites four sources and recommends three brands. Your brand is ranked third and described in the wrong words. The Undercurrent view shows why: your site answered only one of the searches, and common problems such as JavaScript-only pages, blocked crawlers, missing listicle placements and unanswered negative reviews kept AI from citing you. SearchTides fixes those layers so AI describes your brand the way you do.
This is the AI Undercurrent: 48 metrics across 6 layers deciding which brands AI recommends, and how it describes them.
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Our philosophy
AI is becoming the first salesperson every buyer talks to. Before anyone visits a website, an assistant has already summarized the options, compared them and named a few.
That assistant should recommend the companies that are actually best: not the biggest, not the loudest, not the ones with the most ad spend. We do this work so good companies don’t lose to a machine that can’t read them.
When AI gets a brand wrong (an old price, a retired product, a competitor’s claim), buyers decide on a false picture. 83% of Americans expect AI search to spread misinformation. Being recommended isn’t enough; it has to be accurate.
AI recommends what the rest of the web agrees on. That makes real authority the only durable strategy, so we don’t chase shortcuts. We build the kind of credibility a model can verify, on your site and everywhere it looks.
So we fix how a brand is understood before we scale how it’s promoted.
The thinking behind it is in our AI Visibility Engineering guide to how AI chooses which brands to recommend.
Our work addresses the six layers AI systems move through when selecting brands. Each layer reinforces the next; none work well in isolation.
Why this works
Most growth problems aren’t traffic problems. They’re understanding problems. Fix those first and the results compound.
We specialize in regulated industries, and most of our partners are financial services, SaaS, marketplace and established ecommerce brands.
A good fit if you
Not a fit if you’re
Why clients stay
Clients who stay past six months stay 4.3 years on average. 75% increased their budget last year, and 66% have been promoted along the way. Only 3 people have left our team in three years, so the people you start with are the people you keep.
What clients are saying
We were lightyears ahead of where the market was heading.
While others scrambled to react to changing AI standards, we already had the strategy in place thanks to the work with SearchTides. Every shift that’s happened in the last year, from how models evaluate brands to how they filter noise, has only validated the decisions we made early.
This AI work is becoming the foundation for how we think across teams.
We’re also using these AI insights to educate product, payments, and other internal teams on how to make [this shift].
Big kudos!
I just wanted to give kudos where kudos is due for being ahead of the AI game and being thought leaders in the space. And this is why we’ve worked with you for almost seven years now.
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Our promise to you
AI is already deciding who gets customers. This is how to make sure they get sent to you.