LLM Visibility Audit
Get Found by AI Search
ChatGPT and Gemini are already answering your buyer's questions. The question is whether your name comes up. If a model has never learned who you are or what you're good at, you're invisible at the exact moment someone decides who to call.
Being early here still counts for something
Most competitors haven't audited their AI visibility yet, let alone optimized for it. The companies that show up in AI-generated answers this year have a real head start over the ones who wait.
This isn't a replacement for SEO, it's the layer being built on top of it right now, largely unclaimed.
Share of audited companies with this issue present.
The discovery layer is splitting in two
Search engines and AI assistants are increasingly separate places buyers go looking, with different rules for who gets mentioned.
| Signal | What's shifted |
|---|---|
| Where research starts | Shifting toward AI chat tools for early-stage, comparison-style questions |
| What gets cited | Favors clear entities, structured facts, and third-party corroboration over persuasive copy |
| Update cycle | Model knowledge refreshes on its own schedule, slower and less transparent than a search index |
Ask the model yourself, the answer is usually uncomfortable
Type in the exact question your best buyer would ask. If a competitor gets named and you don't, that's not a future risk. That's a live one, today.
Target state after the fix is applied.
What we fix regularly
The shape of change this engagement targets
Every plan targets a specific, named metric off a real baseline, not "more of everything."
Illustrative shape, not a guaranteed outcome.
Ready to set the baseline your plan will target?
Nothing gets promised until we've measured your account.
Three situations we see most often
SaaS company relying on inbound discovery
Strong SEO history, zero AI presence, Ranks well on Google, has never once been mentioned when someone asks an AI tool the same question.
Competitor gets cited, they don't, Same category, similar offering, but the AI tool consistently recommends someone else first.
Content reads well, extracts poorly, Blog posts are well-written for humans but have no clear factual structure for a model to summarize.
Recently funded, building category authority
Building category authority post-funding, Needs to be part of the “best tools for X” answer before a competitor's citation becomes entrenched.
Investors ask about AI visibility directly, A board member asked if the company shows up in ChatGPT, and nobody had an answer.
Launching in a new category, Wants to be the first company associated with the category before anyone else claims it.
Agency building a client's authority position
Client wants AI visibility folded into PR, Existing thought-leadership content isn't structured for AI citation the way it is for backlinks.
Multiple client brands to test, Needs a repeatable audit process to run across a portfolio of accounts.
Client asks “what even is this”, Needs a plain-language explanation of AI visibility before the client will approve budget.
LLM Visibility Audit & Optimization in practice
Tessaro ranked well on Google for its category but was never mentioned when the founders tested the same quest…
A regional law firm noticed prospective clients increasingly said they'd "asked ChatGPT" before calling, and t…
Citations compound the same way backlinks used to
Once a model starts citing a competitor consistently, that pattern tends to reinforce itself. Earlier action compounds; later action fights an uphill battle against an established pattern.
| Time waited | What typically happens |
|---|---|
| 1 quarter | Early movers start showing up consistently; you're still unmeasured |
| 2 quarters | A competitor's citation pattern starts looking established rather than new |
| 1 year+ | Displacing an entrenched citation costs meaningfully more effort than earning the first one would have |
Choose how far you want this taken
Every tier starts with the same honest diagnosis, the difference is how much of the follow-through you want us to carry.
LLM Visibility Audit & Optimization: Diagnostic
The audit itself: what's wrong, and why.
- Run the citation test
- Map the structural gaps
LLM Visibility Audit & Optimization: Diagnostic + Roadmap
The full audit, plus a sequenced plan your team can execute.
- Run the citation test
- Map the structural gaps
- Benchmark the competitive field
- Deliver a prioritized fix list
LLM Visibility Audit & Optimization: Done-For-You
We diagnose it, plan it, and implement it ourselves.
- Run the citation test
- Map the structural gaps
- Benchmark the competitive field
- Deliver a prioritized fix list
- We implement every fix ourselves, not just hand you the list
- A follow-up check-in once changes are live
Before you book a call
Related, not the same. Good SEO helps, but AI visibility depends on additional signals, entity clarity, structured data, third-party corroboration, a standard SEO audit doesn't fully cover.
The major consumer and enterprise tools your buyers are likely to use. We'll confirm the exact list based on your market during scoping.
No responsible audit can guarantee citation, since models are outside anyone's direct control. What we can do is close every structural gap we find.