Adtech Today: Pulp Strategy Unveils NeuroRank in 2025

Adtech Today’s report of 11 June 2025 presented NeuroRank, then a new Pulp Strategy offering, as a way to improve brand visibility in AI-generated search results. The report argued that being cited in an AI response was becoming more valuable than a traditional search ranking, especially for B2B buyers who start research with generative AI.
Citation becomes the new measure
Adtech Today framed generative AI as the new front door for discovery, particularly among B2B buyers. In that setting, a citation inside an AI answer carries more value than a position on a results page. NeuroRank set out to make brands visible to large language models, optimized for citation and trust in the answers they generate.
How the launch service worked
The report described a set of capabilities at launch: visibility mapping, restructuring content into formats AI reads easily, and content placements on platforms language models favor, such as Reddit, Quora, and Medium. Pulp Strategy offered a complimentary visibility audit to eligible brands and a 21-day rollout cycle.
Adtech Today reported early momentum: a mid-sized SaaS client recorded a 22 percent drop in cost per marketing-qualified lead within two months of implementation.
That was the June 2025 offer. The SaaS version followed in May 2026.
Recommendation is measured two ways
NeuroRank uses two recommendation metrics with different denominators. Brand Recommendation Score is the share of brand-naming responses that recommend the brand. Recommendation Rate looks only at prompts whose intent asks for a recommendation, shortlist, comparison, or choice, and reports the share where the brand is shortlisted or recommended. For a B2B seller, Recommendation Rate is the closer reading of the shortlist.
Ambika Sharma described the stakes for advertisers in one line.
“Visibility in LLMs isn’t just a new opportunity, it’s the next visibility battleground”
Ambika Sharma, Founder, NeuroRank , in Adtech
I called it a battleground in 2025 because the shortlist is short. An AI answer names a handful of brands, and the rest are absent from the decision. A place inside that answer is earned through the sources a model trusts, and those sources can be worked on.
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