Consumers are asking ChatGPT, Gemini, and Perplexity what to buy. If AI doesn't recommend you, your customer never sees you. Sales Factory helps you own this new shelf.
Based on Harvard Business Review research. This is the lens through which we analyze every GEO audit.
LLMs are becoming where consumers go for answers. Sources and brands are cited selectively — or not at all. If the AI doesn't cite you, the consumer never sees you.
Gemini-powered Google Overviews compress multiple site visits into a single AI-generated answer. Traditional SEO alone is no longer sufficient.
Before a human sees your brand, the AI must first "choose" to include it. Clean data, schema markup, and authoritative signals determine whether the algorithm recommends you.
Everyone is sprinting toward AI rank tracking. But are we measuring something stable, or are we measuring probability snapshots and calling it strategy?
The SparkToro research confirmed what we suspected: ask the same AI the same question hundreds of times, and you'll get different brand lists almost every time.
That doesn't mean AI visibility doesn't matter. It means the question changes.
Instead of "How do we rank #1 in ChatGPT?" — you need to ask: How often do we show up across many iterations? Are we structurally clear enough to be cited? Are we building real authority beyond our own website?
At Sales Factory, we're bullish on AI influencing shopping behavior. But we're cautious about declaring a new scoreboard before understanding the game.
We grade your brand across ChatGPT, Perplexity, and Gemini — measuring recognition, sentiment, share of voice, and more.
Your full 8-slide report includes AI query testing, competitor benchmarks, and a prioritized action plan.
Get Your Free GEO Pulse ReportWe don't chase AI rankings. We measure what actually drives brand visibility in generative engines.
AI outputs are inherently variable. There is no stable #1 position to hold. Chasing a rank that doesn't exist wastes budget.
Frequency of appearance across hundreds of queries reveals your true AI visibility baseline.
Schema markup, structured data, and content architecture determine whether the algorithm can recommend you.
AI engines pull from the entire web. Reviews, media, forums, and expert citations all shape your brand signal.
Every era of commerce has a "shelf" — the place where consumers discover and choose brands. The physical shelf. The Amazon search results page. The Google first page.
Now, the shelf is the AI's response. When a consumer asks "what's the best [product] for [use case]?" — the brands that appear in that answer are the ones on the shelf.
GEO is how you get on that shelf. Not by gaming a system, but by being the brand the algorithm can clearly understand, trust, and recommend.
Does the AI know who you are? We measure how each provider identifies your brand, category, and market position.
How well does AI understand your competitive landscape? We check positioning against real competitors.
Is your brand's data clean enough for the algorithm to parse? Structured data, schema, and source authority matter.
What does AI think of you? General, source-based, contextual, and polarization sentiment signals across all providers.
When AI recommends brands in your category, how often are you included? And how do you compare to the competition?
We test real purchase-intent queries live against ChatGPT, Perplexity, and Gemini to find what's working and what's not.
Company name, URL, and industry. That's all we need to start your GEO audit.
Your brand is scored across ChatGPT, Perplexity, and Gemini on recognition, sentiment, and share of voice.
Real purchase-intent queries are run live against AI providers to see where you appear — and where you don't.
A prioritized 6-step action plan with timelines, effort levels, and specific recommendations grounded in your data.