ChatGPT
Gemini
Claude
Perplexity
Copilot
DeepSeek
Meta01
Missing from discovery
Buyers ask a relevant question. AI mentions the market—but leaves your company out.
AI PERCEPTION INTELLIGENCE & MANAGEMENT
Understand and shape how AI perceives your business.
See how AI understands, compares, and recommends your company. Find the perception gaps. Build a clear plan to improve them.
Understand your presence across the AI systems buyers use
- ChatGPT
- Gemini
- Claude
- Perplexity
- Copilot
- DeepSeek
- Meta
THE PERCEPTION GAP
Why use PerceptCore?
Your website tells one story. AI may tell another. Understand where your company is overlooked, misrepresented, or passed over for a competitor.
02
Known for the wrong thing
You position an enterprise platform. AI describes a consulting agency.
03
Considered, then passed over
AI knows your brand, but recommends a competitor when the buyer gets specific.
PERCEPTCORE PULSE
AI perception, in one clear view.
Track how AI perception changes. PerceptCore Pulse connects visibility, positioning, and source intelligence.
- AI models
- 5
- Avg. recommendation share
- 27.8%
- Largest perception gap
- 58 pts
Recommendation share by AI model
Measure how often AI recommends a company across the questions buyers actually ask.
ChatGPT32%
Gemini21%
Claude17%
Perplexity43%
Copilot26%
Recognition does not always lead to recommendation. Compare models to understand where your company enters the conversation—and where it disappears.
Desired positioning vs. observed AI association
Compare the positioning you want with the associations AI actually makes.
| Attribute | Target | Observed | Gap |
|---|---|---|---|
| Enterprise AI platform | 90% | 54% | -36 pts |
| Secure | 90% | 32% | -58 pts |
| Australia-focused | 80% | 58% | -22 pts |
| Autonomous agents | 90% | 41% | -49 pts |
| Deep workflow integrations | 85% | 37% | -48 pts |
| Enterprise support automation | 90% | 66% | -24 pts |
Security has the largest gap in this example: 90% desired, 32% observed. That gives a Lens assessment a concrete question to investigate.
Information that may shape AI perception
Identify potential sources shaping the way AI describes a business.
| Information source | Evidence signal |
|---|---|
| Website service pages | High influence |
| LinkedIn company description | Medium influence |
| External directories | Medium influence |
| Product documentation | Insufficient |
| Independent product mentions | Weak |
| Customer reviews | Insufficient |
| Structured product entities | Weak |
In this example, evidence describing a service provider outweighs evidence describing a software platform. Source analysis helps explain the positioning gap.
Potential evidence, not proof of model causality.
Illustrative data from a Lens assessment, not measured customer results.
Visibility & recommendations
Understand when your company is mentioned and when it is recommended.
Perception & positioning
Compare your desired identity with the categories and attributes AI associates with you.
Sources & factual accuracy
Investigate influential information and spot incorrect or outdated claims.
Competitive intelligence
See how AI understands your company relative to the alternatives buyers consider.
FROM UNDERSTANDING TO ACTION
Start with Lens. Keep improving with Shift.
A baseline tells you where you stand. An ongoing perception strategy helps you decide what to change—and whether it worked.
YOUR STARTING POINT
PerceptCore Lens
See your business through the eyes of AI. Establish your perception baseline and identify the gaps.
- Brand perception and visibility baseline
- Competitor and buyer-question analysis
- Factual accuracy and source assessment
- Prioritized perception-gap roadmap
A clear baseline. A prioritized action plan.
See how the process worksYOUR CONTINUOUS LOOP
PerceptCore Shift
Turn perception gaps into targeted action with ongoing improvements, re-testing, and reporting.
- Target perception and intervention strategy
- Website, content, and documentation improvements
- Entity clarity and authoritative-source development
- Continuous testing and executive reporting
A coordinated strategy. Measured progress.
See how the process worksLens reveals the gaps. Pulse tracks the changes. Shift helps you act.
HOW IT WORKS
Measure. Understand. Improve. Repeat.
Each intervention starts with evidence and ends with another measurement.
- 01
Measure
Test buyer questions across AI systems and establish your visibility and perception baseline.
Perception baseline - 02
Diagnose
Identify gaps, inaccurate claims, competitive differences, and potential source influences.
Prioritized gaps - 03
Intervene
Improve the content, documentation, positioning, and evidence supporting your business.
Targeted improvements - 04
Validate
Re-test to see what changed, track progress, and refine the next set of actions.
Measured change
BUILT AROUND CONSIDERED PURCHASES
For businesses buyers research before they choose.
Especially relevant when buyers use AI to explore a category, compare vendors, and evaluate a substantial purchase.
B2B technology
SaaS, cybersecurity, AI platforms, cloud infrastructure, and enterprise software.
High-value services
Consulting, technology services, and specialist businesses competing on expertise and trust.
Enterprise teams
Marketing, brand, strategy, and product teams that need a shared view of AI perception.
A FEW USEFUL ANSWERS
Questions & answers
What does PerceptCore Lens assess?
Lens examines brand perception, visibility across relevant AI systems, competitor positioning, buyer questions, factual accuracy, and potential source influences. It compares the identity you want with the understanding AI demonstrates, then turns those gaps into a prioritized roadmap.
How is AI perception different from AI visibility?
Visibility asks whether AI mentions your company. Perception asks what AI thinks your company is: its category, capabilities, markets, strengths, and differences. Recommendation intelligence goes further by examining whether AI considers your company a good fit for a buyer’s requirements.
Which AI systems are relevant?
Relevant systems can include ChatGPT, Gemini, Claude, Perplexity, Copilot, and AI search experiences. The right set depends on your buyers, markets, and use cases. A Lens assessment defines that scope around your business rather than treating every model as equally important.
Can you control what AI says about our business?
AI systems draw on different combinations of training knowledge, search retrieval, web indexes, and other information. Publishing content does not guarantee a change in model behavior. PerceptCore focuses on improving the quality, consistency, and authority of supporting information, then measuring the observed changes.
How do you evaluate whether an intervention worked?
Establish a baseline, make targeted improvements, and re-test the relevant buyer questions. Compare visibility, positioning, accuracy, and recommendation behavior over time. Source evidence helps investigate what may have contributed; an observed change alone does not prove causality.
What is the difference between Lens, Pulse, and Shift?
Lens establishes your AI perception baseline and action plan. Pulse tracks visibility, perception, recommendations, and source intelligence. Shift brings an ongoing team and strategy to targeted improvements, reporting, and continuous validation.
START WITH A CLEARER PICTURE
What does AI believe about your business?
Make the perception gap visible. Then build a plan to improve it.