AI is where the shortlist gets built.
Before the website. Before the form. Before you.
AI visibility is whether ChatGPT, Perplexity, Gemini or Google AI Overviews name your brand when a buyer asks who to choose, and if your competitors come up in that answer and you don't, they are shaping the shortlist and the budget conversation long before anyone loads your website.
B2B buying moved into AI. Reporting didn't.
The visible numbers are clear. The invisible ones are bigger.
The gap most teams miss: your analytics probably show AI referral traffic at 0.25–6% of total. That's the visible part. The much larger part, buyers forming opinions in AI then arriving via branded search or not arriving at all, is what's actually deciding deals. The 0.25–6% is what you can measure. The 51–94% is what's happening.
Rankings hold. Traffic slips.
SEO reports tell you where your page ranks. Right now, yours is climbing.
But traffic is slipping. Pipeline is thinner than last quarter. Something is deciding deals, and your reporting can't see it.
The SEO agency blames the algorithm. The pipeline team blames the SDRs. Neither is the story.
Buyers ask AI which vendors to evaluate. Three names come back. If yours isn't one, rank doesn't matter. The recommendation was decided before the click.
This is the answer engine blindspot: the gap between how buyers search now and where your reporting still points.
The work between trigger and pipeline.
AI visibility optimization is how you shape what buyers hear from AI. Deals get decided inside those answers, before anyone clicks.
It breaks into two jobs. The first is discoverability: will you make the shortlist? The second is positioning: what the buyer hears before a single click.
The levers are familiar from SEO: content, signals, structured data. But the ceiling is different. You're not climbing a ranked list; you're shaping what a model says when asked. The work is systematic. The result is less deterministic than SEO.
Discoverability is off-site. Positioning is on.
For mentions, ~85% of what AI cites comes from off-site: G2, Reddit, Wikipedia, industry blogs, analyst mentions. Your site provides the rest.
For positioning, the weight flips. Your site holds the canonical language: product pages, about copy, structured data. Off-site content echoes it. Your site writes it.
Work only on what you own and you'll miss the shortlist. Work only off-site and you'll land on it but positioned wrong.
Every AI answer traces back to a source.
| Source | Band | Citation strength | Answers it feeds |
|---|---|---|---|
| Docs.yoursite | Owned | Strong | "best vector DB for RAG" |
| GitHub README | Owned | Strong | "best vector DB for RAG"; "open-source RAG stack" |
| Reddit r/mlops | Community | Present | "open-source RAG stack"; "vector DB comparison" |
| StackOverflow | Community | Present | "vector DB comparison" |
| TechCrunch | Press & Analyst | Weak | "enterprise vector search"; "Pinecone vs alternatives" |
| Analyst report | Press & Analyst | Gap | "enterprise vector search" |
Every scan maps which sources shape answers in your category. The off-site work builds presence where it's missing.
Agent-driven. Self-improving. Built for an AI-first world.
Most tools in this space watch. They don't fix. GrowthPath closes the execution gap: measure what AI says about you, fix it on-site and off-site, then track what moved.
Each cycle learns what worked, what didn't, and applies it next round. Month 3 is measurably smarter than month 1.
Three moves. Every cycle gets smarter.
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Step 1: Measure where you stand.
Where you show up in AI answers, where you don't, and which sources drive answers in your category. Output: a ranked list of what to fix first.
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Step 2: Fix it, on-site and off-site.
On-site changes go live. Off-site signal gets built. Each action closes a gap the measurement flagged.
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Step 3: The system learns.
What worked becomes a rule. Month 6 starts from everything months 1 through 5 learned. Most agencies start over every month.
Every stage of the AI visibility problem.
Start with the evidence, clarify what you should be known for, or have us run the system with you. Each page carries its own price.
See how ChatGPT, Gemini, Perplexity and Google AI Overviews describe and recommend your brand when buyers ask. Free demo on your domain in under five minutes.
Buyers ask AI who to choose, and the answer keeps changing. The Loop watches it daily, flags what moved, and scores the work you ship against it: more mentions, in more answers. Join the waitlist to hear the day it opens.
Join the waitlist→The AI perception map, the competitive positioning gaps, buyer language mined from where your buyers actually write, a category narrative, and the map of what AI should recommend you for. Closes with a live workshop.
See the Position Sprint→Position Sprint to decide what you should be known for, a 90-day GTM Sprint from positioning through execution, the marketing system behind them (custom software included where nothing off the shelf fits), and a managed engagement that ships the on-site and off-site work every month. You keep everything we build.
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Questions about AI visibility.
Straight answers before you book a call.
Is this the same as SEO?
It builds on SEO and answers a different question. SEO ranks links. AI visibility shapes answers. Strong SEO helps. On its own, it's no longer enough.
Our analytics show almost no AI referral traffic. Is AI visibility real?
The 0.25–6% AI referral traffic in your analytics is the visible part, and it is a measurement artifact, not the behaviour. 94% of B2B buyers use LLMs in their buying process (Bain), and most form opinions inside AI, then arrive via branded search or don't arrive at all. The shortlist forms in the part you can't measure.
Why not just buy a monitoring tool?
Monitoring tools show where you're invisible. They don't fix anything. That's a diagnosis without a prescription. GrowthPath closes the execution gap, which is exactly where monitoring tools stop.
How fast can this change?
First optimisations go live in week 1. AI citation changes typically show in 4–8 weeks. By month 3, there's measurable movement. The pace depends on your category, current signal strength, and where the biggest gaps live. The point is to move from guesswork to a clear execution path.
Do we need a monthly engagement?
No. Most teams start with the Position Sprint to get clarity, then decide whether to keep the work in-house or move into a managed engagement. The sprint stands on its own.
Does this only matter for Google?
No. It applies across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot, and the broader shift toward AI-assisted discovery. Each platform has its tilt. Perplexity favours Reddit, ChatGPT favours Wikipedia, Google AI Overviews favour already-ranking content. The underlying shift is the same.
Do we need to plug in any tools first?
No. We query ChatGPT, Gemini, Perplexity and Google AI Overviews directly for your domain, so there is nothing to install, nothing to connect, and no monitoring subscription to buy before you can see where you stand. Tool-agnostic by design: monitoring data is a starting point, not the product.
Take control of what AI is saying about your brand.
If AI is where your buyers form opinions about your category, visibility is now an execution problem. A 30-minute Visibility Review opens with specifics about your category, your current presence, and where the biggest gaps live.