The SERP still ranks. The buyer skipped it.
You can win the blue link and still lose the buyer, because the model answered before they ever scrolled. GEO is a new surface — and the SEO team is the right team to own it, once it has the right instrument.
Rankings ≠ recommendations
Position one on Google is no guarantee the model names you in the answer.
A new surface, no tooling
Your rank tracker doesn't see ChatGPT. You're blind on the fastest-growing channel.
Citations are invisible
You optimise backlinks you can measure — but which pages the models cite has been a black box.
Everything you already do — pointed at the answer
Per-prompt, like keywords
Track buyer prompts the way you track keywords: who wins the answer, where you're absent, and how it changes.
Citations = new backlinks
See which domains the models trust and which of your pages get cited — then close the gap.
Technical GEO
A deep crawl scores structure, schema, llms.txt and content gaps engines read before they cite you — with generated JSON-LD.
Prioritised fixes
Impact-ranked recommendations that fit your sprint, so GEO becomes a workflow, not a research project.
How it works
01
Import your domain
Aurvikon crawls your site and detects the prompts and competitors that matter in your category.
02
Baseline every engine
Get your first cross-engine read — the GEO equivalent of a rank-tracking baseline.
03
Optimise and track
Ship schema and content fixes, then watch citations and prompt coverage improve scan over scan.
What's inside
Per-prompt tracking across engines
Citation & source-domain analysis
Website Intelligence deep crawl
JSON-LD schema generation
Prioritised technical & content fixes
Questions, answered honestly
Is GEO going to replace SEO?
No — it sits alongside it. Traditional search isn't going away, but a growing slice of intent resolves inside AI answers. GEO covers that slice.
Will my existing SEO work carry over?
A lot of it helps — solid content, clean structure and authority are inputs models read too. But GEO adds signals (schema, llms.txt, citation sources) a classic SEO stack doesn't track.
How is a 'prompt' different from a keyword?
A keyword is what someone types into a search box; a prompt is the full question they ask a model. We track prompts the way you track keywords — coverage, wins, losses and movement.
More in Solutions