Patent-Pending AI Visibility Intelligence · ISO/IEC 27001 CertifiedModel preference engineering: Continuous AI visibility governance
Model Preference Engineering is NeuroRank's Full Command Suite for Large Language Model Optimization (LLMO). A customizable monthly subscription that commands how ChatGPT, Claude, Gemini, and Perplexity perceive, interpret, and recommend your brand. Deconstructs granular visibility, diagnoses where your AI presence is broken, and prescribes the specific actions required to secure and optimize it.
The intelligence data your SEO tools don't have, pulled from thousands of conversations about your brand and category in answer engines like ChatGPT, Gemini, Claude, and Perplexity.
Comprehensive AI Visibility Command Suite
Model preference engineering
is the Full command suite.
Thirteen capabilities operating on a continuous monthly cadence. Every subscription tier includes every capability.
01. Model preference engineering
Systematic prescriptions to influence how LLMs prioritize your brand weights in recommendation cycles. The Model Conditioning Loop orchestrates entity signals, source authority, and narrative consistency until AI models recalibrate.
The Architecture
The most sophisticated technology for understanding and improving how AI talks about your brand.
Our analysis reflects what millions of people see when they ask AI about your category.
Fresh-token execution
Every query uses a new authentication token. Every result is a cold-start response, exactly as a first-time user would see it. Cached sessions and logged-in queries carry prior-context bias. We eliminate that at the infrastructure level.
5,500+ prompt simulations per cluster
LLM responses are probabilistic. A single query is a single sample. High-volume runs at 5,500+ simulations per cluster produce data you can act on with confidence.
Multi-location parallel execution
Regional AI logic varies. A brand visible in one market may be invisible in another for the same query. Parallel execution across Asia, India, US, Gulf, and European markets captures the variance in the same cycle.
Cumulative longitudinal tracking
Visibility is tracked month on month across a growing measurement surface. The dataset compounds. Month twelve is richer than month six, which is richer than month three.
Coverage
Every major AI engine. Every month.
Model Preference Engineering covers the four AI engines where brand recommendations are being made at scale. Regional LLM customization is available.
Enterprise-grade trust
Built for teams accountable to the boardroom.
NeuroRank was refined through an exhaustive 8+ month cycle of live use-case testing following the June 2025 soft launch. The methodology has been stress-tested across 65 industries by 150+ brands, including large enterprises, mid-market leaders, and growth brands spanning Asia, Europe, the Middle East, the USA, and North America, and validated through individual feedback from over 150 leadership teams.
ISO/IEC 27001
Certified by Pulp Strategy Communications, publisher of the NeuroRank platform.
Patent-pending
The Model Conditioning Loop, ORHL taxonomy, and fresh-token execution architecture.
Zero PII access
We probe AI models from the outside. No CRM, analytics, or internal system access required.
Maker-checker governance
Every recommendation is verified by a human before it reaches your team.
Built for
Operators responsible for brand presence inside AI.
AEO and Content Teams
Know which assets LLMs cite, which they ignore, and what to create next to win the citation battle.
PR, Brand, and Media Teams
Monitor brand perception across major LLMs. Detect hallucinations and narrative drift before they surface in earned coverage.
Agencies and CFOs
Package continuous governance into retainer deliverables, QBRs, and board-level narrative protection protocols.
Clients
Teams using NeuroRank to govern their AI presence.
Start model preference engineering
The full command suite.
Monthly. Customizable. Starting $225 PM. Configure clusters, regions, and LLM coverage. Your first intelligence report lands the same cycle. Dashboard access is immediate. Monthly, 6-month, or annual billing. Cancel monthly anytime at end of billing month.
Full Command Suite ・ Monthly customisable ・ Starting $225 pmStart model preference engineering
Ambika Sharma
Founder, Chief Strategist at Pulp Strategy Communications. Inventor of NeuroRank. 24+ years in brand strategy, consulting with the world's largest global brands on visibility, narrative control, and market dominance. 124+ international awards for excellence in brand visibility and marketing strategy.