AIC™
AI Cleanup
Remove what
AI is saying about you
that it shouldn't
AIC™ actively corrects the wrong, outdated or harmful information AI engines have learned about your brand. First we detect. Then we clean. Then we verify.
The natural flow
AIIC™
Detects and maps all inconsistencies across 5 AI engines
AIC™
Executes the correction plan and verifies that engines update
Can be contracted together or separately depending on where each brand stands.
What we do
6 types of correction
Primary source correction
We update or correct the sources AI models use as reference: Wikipedia, structured data, authority directories and digital press.
Harmful content neutralisation
Fake reviews, error-filled articles, unfounded negative mentions. We identify problematic content and work to reduce its semantic weight.
Correct narrative reinforcement
We create semantic assets that counteract wrong information: authority content, press releases, verifiable data and mentions in trusted sources.
Entity data update
We sync your entity data: legal name, location, sector, founders, milestones and any structured information AI engines consult.
Entity disambiguation
When AI confuses you with another company or person, we create the signals needed for models to correctly distinguish who you are and what you do.
Post-cleanup monitoring
We verify that corrections propagate across AI engines. We track for weeks to confirm the corrected narrative consolidates.
Real timelines
AI cleanup takes time
AI models don't update instantly. Timelines depend on the type of correction and the depth of the problem.
Quick corrections
Structured data, company profiles, errors in directly editable sources.
Medium corrections
Press articles, third-party content, Wikipedia, authority directories.
Structural corrections
Deep entity confusion, narratives embedded across multiple models, accumulated reputational damage.
Process
How AIC™ works
Prior diagnosis (AIIC™)
Before cleaning, we map. We identify each inconsistency, its origin and its impact. Without diagnosis there is no effective cleanup.
Prioritised correction plan
We order actions by impact and feasibility. Not everything can be fixed equally fast: we prioritise what causes the most damage first.
Correction execution
We act on each source: edit, create, request corrections, reinforce correct narrative and eliminate problematic signals.
Verification across AI engines
We confirm that changes have propagated. AI models don't update instantly: follow-up is part of the work.
AIC™
AI Cleanup
Clean first.
Build after.
There is no point investing in visibility if AI is carrying wrong information about your brand. AIC™ fixes the foundation before you scale.