Indiantelevision: Pulp Strategy Launches NeuroRank

On 11 June 2025, Indiantelevision.com announced that Pulp Strategy had unveiled NeuroRank to help brands appear in answers from ChatGPT, Gemini, Claude, and Perplexity. The report summed up the service as memory, mention, and machine trust, and listed the five components NeuroRank launched with.

Presence in the answer replaces rank on a page

Indiantelevision.com described the launch as a pivot away from traditional SEO playbooks. NeuroRank focused on whether a brand was named in AI-generated answers. Its position on a results page mattered less.

The report cited one early result: a mid-market SaaS firm cut its cost per marketing-qualified lead by 22 percent in eight weeks using NeuroRank’s full deployment.

 Five components at launch

The report listed the service as it stood in June 2025:

• LLM signal mapping, which tracked whether a brand was cited or missing in AI responses;

• semantic layer engineering, which rewrote content into machine-friendly formats such as question-and-answer blocks, explainer blocks, and schema-rich text;

• source priority indexing, which built brand presence on platforms models trust, such as Reddit, Quora, and Medium;

• knowledge graph stitching, which built brand, topic, and author clusters to raise the chance of citation;

• and live model conditioning, which tested and adjusted prompt performance across major models.

These were the launch components. NeuroRank now runs as a SaaS platform built on five phases: Deconstruct, Diagnose, Prescribe, Condition, and Track.

 Conditioning works on the sources models retrieve

The Condition phase today runs through the Model Conditioning Loop, shown on the NeuroRank dashboard as RAG Conditioning. It coordinates entity signals, source authority, retrieval readiness, and narrative consistency across owned, earned, and third-party surfaces. The client or agency implements each approved fix, and NeuroRank validates and measures it until observed AI outputs represent the brand accurately and consistently.

Ambika Sharma drew the line between the two disciplines at launch.