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Ultra SEO · AEO · GEOContinuous research

The platform learns from every fix

The engines change behavior every week, warning nobody. Tracking that is not optional: it is what separates a number that holds from a number that aged.

Weekly retest

The same questions, in the same window, across the same six engines. Without that, one cycle and the next are not comparable.

Change lab

Every fix goes in measured: what it was before, what it became after, and across how many checks.

Entry criteria

A new page does not enter measurement the next day: Google starts at 7 days live and AI at 15. Measuring before that would give a number that means nothing.

The queue reorders itself

What proved to move citations rises in the fix queue. What did not move drops, even if the market agrees with it.

The loop

Why measuring alone teaches nothing

A tool that only measures watches the number change and never knows why: it did not make the change and does not know what it was. Here both sides are ours, so every fix becomes an experiment with an observed result.

01

Measures

The baseline, with a date and the total number of checks beside it.

02

Fixes

One change at a time, recorded with the layer it belongs to.

03

Remede

The same questions, the following week, by the same method.

04

Learns

What moved becomes a priority for every client, not just that one.

vynco · lab · what moved the citation · exampleexample
Change appliedLayerCitationsBefore and after
Allow the AI reader through the CDN anti-botAccess+11from 4 to 15, in 30 checks
One page per location, with the address marked upProgrammatic+7from 15 to 22, in 30 checks
Direct answer in the page first sentenceContent+4from 22 to 26, in 30 checks
Change the body font and the spacingAesthetics026 before, 26 after, across 30 checks
What we track

It is not a list of supported models

It is the behavior of each surface where the answer appears, retested every cycle.

Google
organic · every week
AI Overviews
AI summary · every week
ChatGPT
answer · every 15 days
Gemini
answer · every 15 days
Perplexity
answer · every 15 days
Bing organic
organic · every 15 days
Claude
answer · every 15 days
Copilot
answer · every 15 days
Grok
answer · every 15 days
Google AI Mode
AI summary · every week
  • When an engine changes, the problem is ours. The agency does not rebuild its method with every update: the platform adjusts and the history stays comparable.
  • When it changes enough to break the comparison, we say so. A curve that moved because of the engine, and not because of the work, is stated on screen instead of hidden.
  • A new engine goes in when it returns data that holds up to comparison. One of them left after zero results in 327 queries.
Honesty

What the lab is not

We have no privileged access

Nobody has it. The engines are closed boxes and do not publish how they choose what to cite. What we have is repeated measurement, from the outside, with a fixed method, which lets you infer rather than guess.

It is not a guarantee of results

Knowing what usually moves does not guarantee it will move in that case. That is why the number always ships with its total number of checks: so you can disagree with it using data, not opinion.