Search moved into the answer. Most brands can't see it.
Your buyers no longer scroll ten blue links — they ask a model and act on the shortlist it gives back. If you're not in that answer, you never entered the shortlist, and your analytics will never show the deal you didn't get.
Buyers ask AI, not Google
The model names a handful of options. Being option four on page one of Google doesn't put you in that handful.
You can't fix what you can't see
Site analytics stop at your domain. The decision happens inside the model, on data you've never audited.
GEO is not SEO
Ranking well on Google does not mean the model recommends you. It's a different surface with different signals.
The full GEO loop — on real answers, not guesses
Measure across every engine
Aurvikon asks the real engines your buyers use and records how each describes you, who it recommends instead, and which sources it cites.
Find the citation gap
See which domains a model trusts in your category, and which of your own pages get cited back. That gap is your roadmap.
Ship prioritised fixes
Evidence-backed recommendations ranked by impact — plus real JSON-LD schema from your own pages, never a placeholder.
Prove the lift
Because every scan is a before/after, you watch citations and share of voice move after you ship.
How it works
01
Add your domain
Paste your URL. Aurvikon auto-detects your category, competitors and the buyer prompts that matter.
02
Run the first scan
In minutes you get your visibility across every engine, who's beating you, and where your citations leak.
03
Fix, then prove it
Ship the prioritised fixes and generated schema, then watch the next scan show your citations rise.
What's inside
Coverage across ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, Copilot
Per-prompt answer analysis
Citation & source-domain intelligence
Prioritised, evidence-backed recommendations
One-click JSON-LD from your real pages
Region-aware scanning
Questions, answered honestly
What's the difference between GEO, AEO and SEO?
SEO ranks your pages in a list of links. AEO and GEO are about being named and cited inside the AI-generated answer itself. Aurvikon focuses on the answer — where the buying decision now starts.
Which engines do you cover?
We measure the engines buyers actually use: ChatGPT, Claude, Gemini, Perplexity, Google AI Overview, Copilot. Coverage depends on the engines enabled for your workspace.
How is this different from asking ChatGPT about myself?
One manual prompt is a single sample on one day. Aurvikon runs your real prompts across every engine on a schedule, tracks change, attributes citations, and turns it into a prioritised plan.
Do you guarantee I'll get cited?
No — and be wary of anyone who does. Models are probabilistic and we don't control them. We guarantee honest measurement, a prioritised plan grounded in your data, and clear before/after proof of whether your fixes worked.
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