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Proprietary search intelligence

NEURAL.

A clearer view of AI search visibility.

Neural brings together AI search analysis, competitive intelligence and actionable insights to support how brands are discovered across AI-powered search experiences.

Discuss AI Search

Case example / AI search

Why ChatGPT recommends Fjällräven.

What makes an outdoor brand visible in ChatGPT, where its answers really come from, and a strategy for winning AI search. Based on 810 answers to everyday buying questions asked in Swedish.

Four things we learned01 / 12

One brand owns the category.

Share of voice
50%
Half of all answers mention Fjällräven. Patagonia is at 27%. Nobody else passes 20%.
Before the search
39%
ChatGPT searches for Fjällräven by name, although no question mentions a brand.
The brand site
60%
fjallraven.com is read in 60% of answers and is the most cited source of all.
The invisible source
81/0%
Reddit is read in 81% of answers and cited in none.

What this means for ecommerce

How brands work towards AI visibility.

The study shows that AI assistants decide with facts they can check, and those facts mostly live on your own store. That is where we start: turning the Shopify storefront into evidence an AI model can read, trust and repeat.

  • 01Measure

    Know your gates

    We run your real buying questions many times, per market and language, and track share of voice, first-choice rate, reservations and query share against your competitors.

  • 02Product pages

    Answer the "but" before the model does

    Price rationale, materials, care, sizing and honest use cases written on the product page, so caveats become reasons to buy.

  • 03Structured data

    Facts a machine can read

    Metafields, metaobjects and schema markup expose specs, warranty, repair and sustainability claims clearly, instead of hiding them in images or PDFs.

  • 04Positioning

    Own a few categories

    Choose the two or three questions you want to be the default answer for, and align content, collections and outside coverage to repeat that link.

  • 05Reputation

    Be on the reading list

    Identify the reviews, media and conversations the model actually reads for your category, and earn presence there honestly.

Technical SEO / Foundations

The structured foundation that Google and AI both read.

AI assistants and search engines draw on the same signals: crawlable pages, consistent product data and clear structure. Technical SEO builds that foundation on Shopify, and Neural shows where it is working and where it is not.

Visibility you can measure starts with data that machines can trust.

  • 01Schema

    Structured data (JSON-LD)

    Product, Offer, AggregateRating, BreadcrumbList, Organization and FAQPage schema, generated from metafields so it stays accurate as products change.

  • 02Index

    Crawlability & indexation

    Canonical tags, duplicate collection URLs, robots rules, XML sitemaps and redirects reviewed and corrected.

  • 03Structure

    Site architecture & internal links

    Collection hierarchy, breadcrumbs and internal links that tell search engines which pages matter most.

  • 04Performance

    Page speed & Core Web Vitals

    Lighter themes, optimised images and fewer third-party scripts for faster pages, a ranking and conversion factor.

  • 05Content

    Content & entity clarity

    Product descriptions, collection copy and brand information written so search engines and AI models understand what you sell and for whom.

  • 06Feeds

    Merchant feeds & product data

    Consistent titles, attributes, GTINs and availability across Google Merchant Center and the wider web.

Capabilities under review / 01—05

A considered view of search intelligence.

The following capabilities are proposed and await confirmation against the live platform; they are not confirmed product features.

  • 01

    Brand Visibility

    Analyse when and how a brand appears in AI-generated search responses.

    Pending platform verification
  • 02

    Competitor Intelligence

    Understand which competing brands are surfaced for relevant customer questions.

    Pending platform verification
  • 03

    Source Analysis

    Examine the sources and references associated with AI search responses where available.

    Pending platform verification
  • 04

    Search Opportunities

    Identify relevant questions, topics and content gaps that can inform optimisation.

    Pending platform verification
  • 05

    Performance Monitoring

    Track visibility changes over time when supported by the underlying data and monitoring configuration.

    Pending platform verification

Intelligence, connected to implementation.

Search analysis becomes useful when it informs practical decisions. Neural guides the technical SEO, structured data and content work, and the results are tracked back through Neural.

  1. 01

    Analyse visibility

  2. 02

    Identify opportunities

  3. 03

    Implement improvements

Optimisation does not guarantee inclusion in AI-generated responses or specific rankings.

FAQ

Questions we are often asked

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