Our Methodology

At ARGEO, we follow a scientific process for AI perception management based on deterministic data analysis, not assumptions. At every step, we measure how your brand is understood by Large Language Models, structure your signals, and validate your perception transformation with concrete data. Our process is transparent, repeatable, and results-driven.

Our Methodology

We proceed with deterministic, measurable, and transparent steps. We model, we align, we verify.

Perception Audit

We ask ChatGPT, Gemini and Claude. How do they describe you?

Initial consultation (30–45 min)
Sector and competitor signal analysis
Market target clarification

AraçlarMulti-LLM QueryEntity RecognitionPerception Scoring

Gap Analysis

What's missing, contradictory? Where do you diverge from competitors?

Evaluating query reasoning on ChatGPT, Perplexity, Gemini
Review of Schema, knowledge graph, and technical structure
Baseline perception scoring

AraçlarSignal ComparisonData AnalysisPerception Mapping

Signal Plan

Which content, which source, which schema — we map everything.

Short-term and medium-term actions
Critical entity page signal alignment
Immediate trust signal coherence

AraçlarSchema ModelingKnowledge GraphContent Architecture

Implementation

Content, technical infrastructure and PR channels — all at once.

Content architecture refinement
Schema and technical integration
Strategic authority building
Team consulting

AraçlarTechnical IntegrationContent DistributionAuthority Building

Measurement

6 weeks later: do models describe you differently? We report.

Periodic measurement of AI visibility
Observation of new model behaviors
Strategy revision

AraçlarDelta AnalysisTrend MonitoringReporting

Our Technology Stack

The proprietary analysis and reporting engines behind our methodology.

Perception Analysis Module

ARGEO Reverse

Brand Identity Analysis Through AI Eyes

Reverse-engineers how AI and LLM systems associate your brand with concepts, identifies source dependencies, and maps perception gaps.

A specialized perception-analysis module built for AI visibility and perception control.

Multi-LLM comparative perception mapping
Multi-dimensional perception scoring across 4+ LLMs
Average analysis turnaround: 48 hours

Perception Analysis

Live

AI Engine Visibility

ChatGPT

78%

Gemini

65%

Perplexity

52%

Claude

71%

Copilot

34%

Visibility

Citations

Entities

Audit Report

Completed

Overall Score

Schema Validation

96%

Entity Coherence

88%

Citation Accuracy

92%

Trust Signals

84%

Rules

Latency

—

Score

—

Deterministic Engine

ARGEO Studio

Deterministic Audit & Reporting Engine

A rule-based analysis engine that performs SEO and GEO audits with deterministic logic — no random text generation.

Designed for LLM-safe publishing strategies; separates private audits from public summaries.

30+ rule-based audit checkpoints across 5 dimensions
Private Audit / Public Summary separation
Repeatable and auditable outputs

How do we adapt for different sectors?

Every entity type has unique trust requirements

Clinics and Healthcare

Patient trust signals are critical
Strict handling of medical claims and FAQ schema
Verification of expertise via knowledge graphs

Enterprise & Services

Portfolio and proven track record signals
Balance of visual and structured data
Cross-referencing across industry databases

Global Brands

Focus on cross-market consistency
Multi-language entity resolution
Universal brand authority signals

Methodology FAQ

Yes. We cannot align what we do not measure. We must first establish your brand's perception baseline.

Yes. We often act as the perception layer supporting your internal content and technical teams.

Initial signal repair takes 1-2 weeks. Building deep authority and consistent AI visibility typically requires 3-6 months.

Ready to Start Your Perception Transformation?

Measure your brand's current position in the AI ecosystem and start your strategic transformation journey today.

Free preliminary assessment — No commitment required