AI Visibility · GSO / GEO / AEO
Perplexity, ChatGPT, Google AI Overviews — AI is already deciding what your customers see. AI Visibility is how you make sure the answer names you.
Three names lead the category right now:
01 · The stakes
If you're not in the answer,
you're not in the consideration set.
Same funnel · New gatekeeper
02 · The three layers
01
Generative Search Optimization
Be the source AI retrieves.
When shoppers search on Perplexity, Google AI Mode, or ChatGPT Search, AI engines pull from across the web to build their answers. We make sure your site is one of the sources they pull from.
The payoff: citations and direct traffic from AI search.
Sample signals
02
Generative Engine Optimization
Be the brand AI recommends.
When customers ask ChatGPT, Claude, or Gemini "what's the best [product] to buy?", the AI names a handful of brands. We put yours on that shortlist.
The payoff: a spot on AI's shortlist every time a shopper asks "what's best?"
Sample signals
03
Answer Engine Optimization
Be the answer AI quotes.
When a shopper lands on a Google AI Overview or asks a voice assistant, the AI reads one answer aloud. We format your content so it's the answer they read, not your competitor's.
The payoff: the zero-click moment that puts your words directly in the shopper's ear.
Sample signals
03 · IN PRACTICE
Recent cases
01
Problem
A top-10 prestige beauty brand appeared as first choice in only 6% of AI skincare responses. An indie competitor with a fraction of the R&D budget led at 41% — because it dominated the sources AI models trust most. In routine-builder queries, AI recommended just 1 of the brand's products across a 5-step regimen, even though the brand had a product for every step.
Approach
Audited 300+ skincare queries and mapped how AI decomposes routine questions into 10–14 sub-queries. Rebuilt product pages with clinical data up front, created dermatologist-grade ingredient explainers, and launched earned authority campaigns across Reddit, YouTube, and the 20 beauty publications AI cites most. Fixed JavaScript-rendered pages AI crawlers couldn't parse.
Outcomes
02
Problem
When consumers asked AI "best mixer for gin and tonic," a craft competitor consistently ranked first. The global brand — with 40%+ market share — appeared in only 8% of responses despite leading the category. The competitor dominated Reddit and recipe content AI treats as expert endorsement. The brand's content was accurate, but not what AI cited.
Approach
Pivoted from product marketing to citable authority. Created mixologist-endorsed recipe content, ingredient comparisons, and occasion-based recommendations structured for AI extraction. Built authentic presence on Reddit cocktail communities and bartender forums. Launched a YouTube creator strategy targeting the cocktail and entertaining space.
Outcomes
03
Problem
A top-5 global airline ranked 4th or 5th when travelers asked AI platforms about transatlantic business class — behind competitors with inferior products. AI described their premium cabin using pre-renovation details. An audit revealed the cause: the airline appeared in only 18% of relevant queries, versus 62% for the top competitor — who had better source material for LLMs, not a better product.
Approach
Targeted the 15 travel publications AI models cite most and launched a YouTube creator strategy. Restructured product pages into definition-led formats AI can extract cleanly. Unblocked crawler access that an overly aggressive robots.txt had been denying to GPTBot and ClaudeBot.
Outcomes
04 · Take the room
Book your free AI Visibility briefing. 30 minutes, no pitch. You leave with a map of where you stand, where you can win, and the first move to make.
Book my free briefing →No credit card · No sales deck · Just the data