NeuroRank, the First Patent-Pending AI Visibility Platform for Complete GEO Governance, Goes Live Globally

New Delhi, India —  May 2026 — NeuroRank, the patent-pending AI visibility intelligence platform from Pulp Strategy Communications, today opens to the public as a SaaS platform, making continuous, governed AI visibility available to brands of every size through its Model Preference Engineering subscription, from USD 225 a month.

Search is no longer the only front door to a brand. AI search engines and AI summaries on results pages are taking a bite out of clickthrough traffic. Gartner predicts traditional search volume will drop 25% by 2026, and Bain’s research finds that 80% of consumers rely on these “zero-click” results at least 40% of the time. Brands will need to rethink their marketing strategies to avoid falling behind in this new era of search. Yet most brands cannot see how these models describe them, cannot tell why they are omitted or misrepresented, and have had no system to fix it. NeuroRank exists to close that gap.

Model Preference Engineering is a continuous, monthly practice that diagnoses how AI models perceive a brand, prescribes the specific fixes required, conditions the models across owned, earned, and third-party sources, and tracks month-on-month lift as the models recalibrate. NeuroRank is the first and only platform in the category built on a patent-pending five-step methodology, which covers the entire cycle of GEO practice and it defines the practice of Large Language Model Optimization (LLMO), the discipline of diagnosing, prescribing, and conditioning how AI models perceive, cite, and recommend brands. Where other platforms monitor and report, NeuroRank deconstructs, diagnoses, prescribes, conditions, and tracks.

“For twenty years, I have consulted with some of the world’s largest brands on visibility online and offline. I have also seen platforms and tools which marketers struggle with, leading to forced use of more than one tool to drive one result. I built NeuroRank to address GEO comprehensively, putting control in the hands of the user. We did not rush but invested in stress testing the platform with 150 brands across 65 industries, incorporating feedback and practical ease of use cases and features after individual discussions with 150 marketing leaders before opening the platform to everyone. NeuroRank provides everyone with the intelligence to see, govern, and command how AI talks about them.”

— Ambika Sharma, Founder, Chief Strategist at Pulp Strategy Communications and Product Architect of NeuroRank

 

Faster Success, Stronger ROI

In one 90-day engagement, a leading Indian BFSI brand improved its AI visibility by 30 percent and its citation frequency by 12 percent across ChatGPT, Gemini, Claude, and Perplexity. A leading Indian FMCG brand improved its AI visibility by 47 percent over the same period. NeuroRank diagnoses and prescribes; the client or its agency implements. Results are from specific client engagements and vary by brand, category, and starting baseline.

Quick adoption, Early success

Customers already include enterprise firms in banking, financial services, and insurance, and some of India’s largest fast-moving consumer goods brands. The platform is also seeing strong adoption among agencies, several of which are using NeuroRank to win new business and to improve GEO offerings.

NeuroRank is now available for companies and agencies globally to command how AI perceives, interprets, and recommends your brand.

Added Information

Built marketing-friendly and accessible, NeuroRank is a single platform for a brand’s entire AI visibility practice.

For enterprise clients, NeuroRank offers a growth option with advisory hours add-on, allowing brands or agencies to rapidly upskill their internal teams and align execution to improve AI visibility faster.

NeuroRank for agencies. Agencies use NeuroRank to win new business and to build a structured Generative Engine Optimization practice for their clients. With the Live Forensic Diagnostic to make the case and Model Preference Engineering to deliver continuous results, agencies can stand up a credible GEO offering quickly, and the enterprise growth option adds advisory hours to upskill their teams. One agency has already onboarded three enterprise clients across the automobile and BFSI sectors.

How NeuroRank works. NeuroRank runs a single five-step method every cycle: Deconstruct the model’s representation of the brand, Diagnose the gaps across ChatGPT, Gemini, Claude, and Perplexity, Prescribe the specific content and technical fixes, Condition the models across owned, earned, and third-party sources through the Model Conditioning Loop, and Track the month-on-month lift as the models recalibrate. It combats logged in biases ensuring that all information marketing teams see is just as a consumer sees it. One platform, the entire AI visibility practice.

NeuroRank is ISO/IEC 27001 certified and requires no access to a brand’s CRM, analytics, or internal systems, probing the AI models from the outside in, the same way a customer would. Its methodology has been stress-tested across 150+ brands in 65 industries and validated through individual feedback from over 150 leadership teams across Asia, Europe, the Middle East, the USA, and North America.

Availability

Model Preference Engineering From USD 225 a month (one model, one prompt cluster), scaling to USD 350 a month for full coverage across ChatGPT, Gemini, Claude, and Perplexity plus a Combined synthesis. Available now at neurorank.ai/pricing.
MPE Enterprise Custom scope, per brand, per region, with advisory hours, strategy roadmap, and Maker-Checker governance. Available at neurorank.ai/contact-sales.
Live Forensic Diagnostic USD 7.00, one-time. A 10-section report across the four models plus a Combined synthesis, delivered in 12 to 20 minutes. Available now at neurorank.ai. A decision-making entry point for teams that want to see the problem before they commit.

 

 

Disclaimer: The above press release has been provided by The Mandate House . CXO Digital Pulse holds no responsibility for its content in any manner

 

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