A practical workflow for managing AI perception
Vaipm is an AI Perception Management platform that connects detection, analysis, source understanding, action, and sharing into a single workflow. It transforms AI perception from something you can only observe into something you can actually manage.
Corporate description drifts from official position
3 sources affected
Competitive positioning is ambiguous
5 queries
ESG policy accurately reflected
Official source dominant
Monitoring alone doesn't solve the problem
Seeing AI responses isn't enough to know what's misaligned, why it's happening, or what to fix. Vaipm is not just monitoring — it's an AI Perception Management System that helps you structure the problem, understand your sources, prioritize actions, and verify improvement after changes are made.
Monitoring
- Display responses
- Track mentions
- Surface changes
Management
- Structure the problem
- Track sources
- Prioritize actions
- Support re-measurement
- Produce outputs for decision-making
From signal to decision, in one connected flow
Vaipm's product is organized around the operational workflow for continuously managing AI perception.
These aren't isolated features — they form a continuous set of layers that make up a single AI Perception Management platform.
Feed
Start by capturing what matters right now
Feed surfaces the changes happening in AI, recurring themes, and topics that are becoming newly important.
What you'll see
- Current AI narrative summary
- Issues worth watching
- Topic clusters
- Recency of updates
- Frequently appearing source environments
Your entry point for understanding what has changed and what deserves attention.
Company description drifts from official
Positioning ambiguous in comparisons
ESG policy accurately reflected
New product perception unformed
Analysis
Turn AI perception into a structure you can manage
Analysis organizes AI responses into layers — Identity, Salience, Brand Meaning — making it clear where alignment is strong and where ambiguity or drift is occurring.
What you'll see
- Layer 1 AI Identity
- Layer 2 AI Salience
- Layer 3 AI Brand Meaning
- Aligned-ambiguous-drift distribution
- Query clusters
- Structured breakdown of issues
Understand not just what AI said, but the cognitive structure it's using to describe you.
Layer 1: AI Identity
Layer 2: AI Salience
Layer 3: AI Brand Meaning
Drift detected between official description and AI summary
Sources
See who is shaping that perception
Sources reveals the domains, source types, and external reference structures that are influencing AI responses.
What you'll see
- Official vs. external ratio
- Source types
- Top domains
- Appearance volume by source
- Source trends by topic
- Source influence
Vaipm's edge is that it doesn't just surface what AI said — it traces back to why AI said it.
Official 58%
External 42%
official-site.co.jp
Official
tech-review.com
Media
industry-wiki.org
Reference
forum-discuss.net
UGC
competitor-blog.io
Competitor
Actions
Turn gaps into prioritized actions
Vaipm doesn't just identify perception gaps — it helps you determine what to fix on-site, what to fix off-site, and in what order.
What you'll see
- On-site / off-site improvement candidates
- Impact / effort
- Recommended actions
- Supporting evidence
- Related questions and pages
This is where Vaipm's identity as management rather than monitoring is most clearly on display.
Update FAQ structure
open3 related queries · 2 evidence links
Redistribute press release
open3 related queries · 2 evidence links
Add schema markup to product page
in-progress3 related queries · 2 evidence links
Export
Connect insights to real decisions
Vaipm doesn't keep analysis locked inside a portal — it converts findings into formats usable for leadership presentations, team sharing, operational workbooks, and data outputs.
What you'll see
- Summary memo
- PPTX
- Workbook
- CSV
- Analyst-ready outputs
Reach people who don't log into the portal — and give your organization something it can act on.
Summary Memo
.pdfExecutive Deck
.pptxWorkbook
.xlsxRaw Data
.csvTrack improvements and embed them into operations
Vaipm doesn't stop at finding issues — it lets you track alignment, drift reduction, source consistency, and narrative improvement on an ongoing basis. This is a key part of what makes Vaipm a continuous AI Perception Management platform, not just an analysis tool.
Alignment Rate
Drift Reduction
Source Alignment
Priority Issues
Alignment Rate
72%
Drift Reduction
−34%
Source Alignment
68%
Priority Issues
5/12
Beyond the Platform
When needed, Vaipm can extend into deeper support and implementation layers.
Custom Reporting
Outputs tailored to executive presentations or specific internal formats
Workflow & Integration
Embedding Vaipm into internal operations and existing systems
Consulting
Strategic support built directly on top of your Vaipm results
Agent Development
Advanced execution layers and automation
Over time, Vaipm has the potential to grow beyond a dashboard into a Platform that underpins how a company manages its AI perception end to end.
Frequently Asked Questions
No. Vaipm goes beyond making AI perception visible — it supports structuring the problem, understanding sources, prioritizing actions, and verifying improvement after changes are made