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Recommendations

Prioritised fixes that actually ship

Not a 40-page audit. Aurvikon turns your scan into a ranked list of evidence-backed fixes — each tied to the prompt or source it improves, ordered by impact, small enough to ship this sprint.

Ranked by real impactBacked by your own scan evidenceSized to actually ship
aurvikon · live scan
Illustrative
Share of voice — category prompts
[Your brand]38%
Competitor A27%
Competitor B19%
Others16%

Insight without a plan is just anxiety

Knowing you're losing the answer doesn't help unless you know the next three things to do. Generic 'improve your content' advice dies in a backlog; a prioritised, evidence-linked list gets done.

Too much, unranked
A wall of findings with no priority means nothing gets shipped — analysis paralysis.
No evidence trail
Advice you can't tie back to a real answer is hard to trust and harder to justify to your team.
Not sprint-sized
'Rewrite your site' isn't a task. Teams ship small, specific, high-impact changes.

A backlog your team will actually clear

Impact-ranked
Every recommendation is ordered by the visibility lift it's likely to drive, so you always know the next best move.
Evidence-linked
Each fix points back to the exact prompt, answer or source that prompted it — no hand-wavy advice.
Concrete + generated
Where possible you get the artefact, not just the ask — like JSON-LD schema generated from your real pages.
Provable
Ship a fix, re-scan, and see whether it moved the number. Recommendations close the loop, not just open it.
How it works
01
Scan for evidence
Aurvikon analyses your answers, citations and site to find what's holding you back.
02
Rank by impact
Findings become a prioritised list, each linked to the evidence behind it.
03
Ship and re-scan
Clear the top items, then re-scan to confirm the lift and surface the next set.
What's inside
Impact-ranked recommendation list
Evidence link to prompt / source
Generated JSON-LD where applicable
Effort vs impact framing
Re-scan to verify the lift

Questions, answered honestly

Are recommendations generic templates?
No. They're derived from your actual scan — your prompts, your citations, your site — so they're specific to where you're losing the answer.
Can non-technical teams act on them?
Yes. Fixes are written as clear, sprint-sized tasks, and technical artefacts like schema are generated for you where possible.
How do I know a fix worked?
Re-scan after shipping. Because every scan is a checkpoint, you see whether the recommendation actually moved your visibility.
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