Answer smarter
Your buyers now shortlist vendors by asking ChatGPT, Gemini, Claude and Perplexity — or by reading the AI summary at the top of Google.
Your buyers meet AI in two places. They work differently.
The AI summary in Google
Before your buyer reaches a single result, Google's AI summary has already answered their question. This surface sits closest to organic: it draws heavily on content that already ranks, and on whether your pages can be parsed and cited cleanly. If your SEO is working, this is where it compounds — or where it quietly fails to.
Where they ask
When a buyer asks an assistant directly which tool to use, the answer is built from what those systems have learned and the sources they retrieve — reviews, comparisons, communities, third-party write-ups. Your own site matters less here than where else your brand appears, and how it's described when it does.
One AI operating system, running everything.
Scalux is built on a proprietary AI Operating System — it ingests your paid, organic, and AI-search data, connects it to your CRM, and monitors your market continuously. Your account manager runs your AI search visibility on top of it. Which is why it isn't guesswork.
Measured, not assumed
LLMs are probabilistic — ask the same question twice and the answer can change. Testing one prompt tells you nothing. We sample hundreds of prompts, repeatedly, across every major model, and report where you appear, where you don't, and which competitors are recommended instead — with a confidence label on every finding. We can't guarantee an answer; we can measure and maximise the likelihood your brand appears in the searches that matter.
More data, better decisions
Your AI search runs on the same engine as your paid and SEO. Paid proves which terms convert to pipeline in weeks; organic shows which content earns authority. That signal tells us which prompts and topics are worth winning — instead of guessing which questions matter.
Always on
AI search changes constantly — models update, citation patterns shift, competitors appear and disappear from the same question in a week. The system tracks that continuously, and your specialist acts when it moves, not at the next scheduled review.
Our approach to AI search.
PROMPTS
We don't guess which questions matter.
We don't guess which questions matter. We derive your prompt set from real demand — your Google Analytics and Search Console data show what your buyers actually search and which queries bring them to you — then extend it into the comparison and category questions that produce a vendor shortlist.
PROMPTS
We don't guess which questions matter.
We don't guess which questions matter. We derive your prompt set from real demand — your Google Analytics and Search Console data show what your buyers actually search and which queries bring them to you — then extend it into the comparison and category questions that produce a vendor shortlist.
SAMPLING
A single test proves nothing.
LLMs are probabilistic: the same question can return a different answer minute to minute, and different models answer differently again. A single test proves nothing. We sample hundreds of prompts repeatedly across every major model and report pooled visibility with a confidence interval, so you're seeing real signal rather than noise. When the data can't determine something, we say so — rather than reporting a zero.
SOURCES
AI answers don't invent recommendations — they pull from sources.
AI answers don't invent recommendations — they pull from sources. We identify which third-party pages, reviews, comparisons and communities the models actually cite in your category, and work to get you present and accurately represented there. That's usually the fastest route into an answer.
REPRESENTATION
Being mentioned isn't the same as being recommended.
Being mentioned isn't the same as being recommended. We track how the models describe you — the attributes, strengths and caveats they attach to your brand — so you can correct a wrong or dated characterisation before it costs you a shortlist place.
CITATION
We work the things with evidence behind them.
We work the things with evidence behind them: whether the models can access and parse your content, whether your pages answer the questions being asked in a citable way, and whether your brand is present where these systems look. We're explicit about what's proven to help and what's currently unproven — and we don't sell the unproven as a moat.
COMPETITORS
When a rival appears where you don't, act on it quickly.
When a rival starts appearing in answers where you don't, that's a signal worth acting on quickly. The system tracks who's being recommended on which prompts, and what changed.
ALWAYS ON
AI search shifts week to week.
AI search shifts week to week. The system flags the change and your specialist acts on it — not at the next scheduled review.
What you get.
Demand-derived prompt set
Your prompt list built from real GA and Search Console data, not guesswork, extended into the comparison questions that produce shortlists.
AI visibility baseline
Where you appear across your category's buying prompts, sampled properly, with confidence labels — measured across ChatGPT, Gemini, Claude, Perplexity and Google's AI summaries.
AI referral tracking
Visits arriving from AI assistants, tracked through your CRM to pipeline and closed deals, so this surface is measured on revenue, not just visibility.
Source citation map
The third-party pages, reviews and communities the models actually cite in your category, and where you're missing from them.
Brand representation tracking
How the models describe you, not just whether they mention you, so dated or inaccurate characterisations get caught.
Competitor tracking
Who is being recommended instead of you, on which prompts, and what's changing.
Per-prompt opportunity view
Which prompts you're closest to winning, ranked by commercial value not volume.
Citation readiness audit
Whether the models can access, parse, and cite your content, with the fixes that matter.
AI crawler analytics
Which AI crawlers are reaching your site, how often, and what you're currently blocking.
Continuous monitoring
Model updates, citation shifts, and competitor movement tracked over time.
Built for B2B SaaS & AI
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