Buyers now ask ChatGPT, Claude, Perplexity, and Google AI which vendors to shortlist. MarketScale turns your experts, customers, and partners into the content those engines cite, then tracks your visibility in one dashboard so you can grow it.
Or read the State of GEO report, explore the GEO strategy, or see pricing.
ChatGPT
Claude
Perplexity
GeminiGoogle AI Overviews
CopilotBuyer prompt
“Which vendors should we shortlist for commercial HVAC?”
Recommended
One platform
The same system that captures and creates your content measures how AI sees it. So creating visibility and improving it happen in one place, not across four disconnected tools that never talk to each other.
The content engine, end to end
ONE PIPELINERecord experts, customers, partners
Turn raw footage into content
One library, one workflow
Publish where buyers and engines look
Measure how AI sees what you publish
The shift
When a buyer asks an AI engine which company to choose, the model names a shortlist and moves on. You are either on that list or invisible. The companies it names are the ones with the most credible, expert-sourced content about their category, not the ones with the biggest ad budget.
The dashboard
AI visibility stops being guesswork when you can see it. Track what engines say about you, score it against competitors, and act on exactly what to publish next.
ChatGPTClaudePerplexityGeminiGoogle AI OverviewsCopilotWe will run a free AI visibility audit on your brand: the prompts your buyers ask, where competitors are cited instead, and the expert content needed to close the gap.
Track depth
MarketScale tracks the buyer prompts that matter every week, across every engine that answers them. But before an engine replies, it quietly breaks your prompt into a fan-out of sub-questions. We follow that fan-out so you can see the whole journey a buyer is taken through, not just the headline query.
The prompts your buyers actually type, scored across the full set of answer engines, refreshed on a weekly cadence.
As prompt language drifts, MarketScale surfaces the emerging phrasings before they harden into the way your category gets searched.
See each sub-question an engine asks itself, and which ones your content already answers, so no part of the journey goes uncovered.
Analyze
An AI answer is built from a handful of pages the engine decided to cite. The platform shows you that list for your category: the exact URLs and domains being cited, how often, and which of them are yours. Now you know what is earning the answer, where competitors are pulling ahead, and precisely what to publish next to take the citation.
“Best platforms for B2B video content” and 11 related prompts
Your domain earns 270 of 813 tracked citations
Publish next: a head-to-head comparison page. Apex Signal is climbing on that prompt while you have no owned URL competing for it.
Analyze / Sentiment and reputation
A mention is not the same as a recommendation. We read the tone of every time an engine talks about you, so you can see whether AI frames your brand as the leader or an afterthought. When the language starts to slip, you catch it here, before it quietly costs you deals.
Reputation reading / This week
How AI frames the field
Up six points in four weeks, after three new customer stories started getting cited.
Tone of every mention
Tone slipping
Two engines now hedge on your pricing, calling it “premium” where they used to say “worth it.” You see the shift the week it happens.
Share of voice
Benchmark your citation share against the competitors you actually lose deals to, week over week. As you publish the expert and customer content that AI engines cite, your slice of every answer grows while theirs holds flat.
Optimize
Every gap in your visibility becomes a specific content action, tied to the exact buyer prompt you are losing and the lift you can expect to gain. Publish it, then test the change and measure the movement in the AI answers themselves. Tools that only watch can point at the problem. They cannot close it.
Ship a recommended action, then watch the same buyer prompts the next time the engines answer. You see the before and after in the AI response, not a guess.
The content engine
Visibility only moves when there is new, credible content for engines to cite. The same MarketScale platform that measures your AI visibility also creates the evidence. One coached, 30-minute expert session becomes a full set of assets, each structured so AI answer engines can parse and cite it.
The difference
Most tools only watch. They tell you a competitor is winning the answer and then hand you a chart. MarketScale also creates the expert, customer, and partner content that moves visibility, so the thing you measure and the thing that improves it live in one platform. Watch, and you learn. Run the loop, and you climb.
You film and collect expert, customer, and partner answers. Real voices, on the prompts buyers actually ask.
That content gets shaped, tagged, and published the way engines parse and cite it.
Engines start pulling your pages into answers, and your share of voice climbs.
Weekly tracking shows the lift: visibility score, citation share, and where you moved against rivals.
Prompt-level guidance names the next answer to capture, and the loop runs again.
You film and collect expert, customer, and partner answers. Real voices, on the prompts buyers actually ask.
That content gets shaped, tagged, and published the way engines parse and cite it.
Engines start pulling your pages into answers, and your share of voice climbs.
Weekly tracking shows the lift: visibility score, citation share, and where you moved against rivals.
Prompt-level guidance names the next answer to capture, and the loop runs again.
A tracker can only ever live on steps four and five. It watches and recommends, then stops. Without the first three steps, nothing it measures ever changes.
What B2B teams ask before they make AI visibility a number they manage.
AI visibility is how often, how prominently, and how favorably AI answer engines like ChatGPT, Claude, Perplexity, and Google AI mention and cite your company when buyers ask for recommendations. It is becoming the new front door to B2B discovery: if AI does not surface you, many buyers never will.
Most tools only watch. They tell you that AI is recommending a competitor, but they cannot fix it. AI Visibility is a module of the MarketScale platform, so it does both. It tracks your visibility across every major engine, and it runs the content engine that actually moves it: capturing expert and customer knowledge, structuring it for AI, and distributing it so engines cite you. Measurement plus the content that changes the measurement.
ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, and Copilot, among others. You track how you surface across all of them for the prompts your buyers actually use, in one dashboard.
No. There is no ad slot inside an AI recommendation. The only levers are the quality, structure, and coverage of the content about your company and your category. That is why MarketScale pairs the dashboard with a content engine: the brands being cited are the ones publishing credible, expert-sourced content consistently.
AI engines cite the same signals buyers act on: practitioner language, named experts, concrete outcomes, and customer stories. Content sourced from your own experts, customers, and partners carries those signals in a way polished brand copy cannot. MarketScale turns that knowledge into structured, distributed content with proper governance, so every conversation becomes evidence an AI engine can cite.
Get started
Book a 15-minute demo and we will run an AI visibility audit on your brand: the prompts your buyers ask, where competitors are cited instead, and the content needed to close the gap.
Or call us. No forms required. We pick up. 214-945-2512
