Your comprehensive GEO and AI visibility audit
Wayfinder.
If you’re a senior marketer, you’re probably being pitched a GEO solution roughly every other day by now.
Platforms, trackers, dashboards. It takes work to understand what they even do, and more to figure out if they’re any good at it.
Here’s the truth: running prompts is the easy part. Feeding the results of those prompts into a dashboard that displays a percentage meaning who knows what? That’s easy, too. Reverse-engineering the results of the prompts so that you know why LLMs talk about your brand the way they do? That’s not easy at all. And that is what Wild Signal does.
We know that each answer a model gives comes from a tangle of causes. We can tell citation weakness from data contamination, true brand strength from dumb prompts. Your lack of visibility might be a schema problem, an earned media problem, a content problem, or a Reddit problem. Each requires a different fix, and no dashboard can tell them apart.
Knowing what to do with all this data well takes a mix of skill and knowledge our industry mostly doesn’t have—yet. The field today is largely SEO and PR shops calling their old playbook GEO. If you ask an SEO specialist to interpret a GEO readout, the recommendation will likely be “go do some PR.” Helpful.
We spent careers running PR, content, and social, and we built the technical stack that understands how models source, weight, and cite each one of those spaces. Wayfinder is all of those muscles in one body.
Here’s how it works:
We run 100 to 150 prompts written in your buyer’s language across ChatGPT, Claude, Gemini, Perplexity, and Google AI.
The results turn into an intelligence map: where you’re cited, where you’re only mentioned, where someone else gets recommended instead, and the dead zones where no brand has claimed the answer at all.
Then we work out why. Your absence might be a schema problem, an earned media problem, a content problem, or a Reddit problem. Each one calls for a different fix, and no dashboard can tell them apart.
Every finding is paired with the move it calls for: the technical fixes, the content plays, the authority moves, the community work, and a measurement plan that climbs from citation to recommendation.
Inside a Wayfinder
A taste of what comes back.
We score every answer the same way: are you cited, mentioned, recommended, or the top pick? Anything below that and you’re invisible. From there, the map follows your category. A hotel brand gets a different read than a software company, and the full engagement goes deeper than anything on this list. But here’s the shape of what you can expect:
- RD. 01
The four layers
Cited, mentioned, recommended, #1 pick. Every prompt is scored on all four because each layer is a different fight.
- RD. 02
Buyer vs. identity split
Famous for what you are, or found for what you sell. Most brands only have one.
- RD. 03
Engine-by-engine reads
ChatGPT, Claude, Gemini, Perplexity, Google AI. Each rewards different signals, so each gets its own play.
- RD. 04
Dead zones
High-value questions where you’re absent — and what wins the answer instead.
- RD. 05
True competitors
Who the models measure you against. Here’s a clue: it’s not always who you think.
- RD. 06
Identity check
The claims AI repeats about you, and whether they’re the ones you’d choose.
- RD. 07
Source terrain
The domains, outlets, Reddit threads and YouTube channels feeding the answers in your category.
- RD. 08
The white space
The language your category runs on that no brand has claimed. Unclaimed territory, mapped.
