This electronics retailer was selling via online marketplaces and was doing well on Google. Good rankings, decent traffic, solid content. But when their team started testing ChatGPT, they were nowhere. Competitors with smaller websites were showing up in AI answers. They were not.
That gap was growing fast, and they knew it. orangemantra came in to fix that. Over 90 days, we worked on their content and how their brand was being picked up by AI tools. By the end, they were showing consistently in ChatGPT responses across the product categories that mattered most to their business.
Consumer Electronics Retail
Generative Engine Optimization
We ran over 200 test queries in ChatGPT covering their core product categories. Things like best wireless earbuds under 100 dollars, top laptops for students, reliable home audio brands. The brand did not show up in a single response. Competitors with smaller audiences and weaker SEO were being recommended instead. It was a clear gap.
All their existing content was written to rank on search engines. Short paragraphs, keywords front-loaded, thin on actual substance. That works fine for SEO, but AI tools work differently. They look for content that is factual, structured, and genuinely useful. Keyword-stuffed product pages do not get cited. The brand’s content simply was not built for how AI reads and processes information.
ChatGPT pulls from a wide range of sources. Reviews, editorial coverage, comparison articles, expert write-ups. The brand had very little of that. They were not being talked about on third-party sites in any meaningful way. So even if their own content improved, AI tools had no external signals to validate the brand as a credible recommendation.
Nobody on the team had a process to check how the brand was performing in AI responses. No tracking, no benchmarks, no way to know if things were improving or getting worse. Before we could fix anything, we needed to build a proper baseline.
The brand had good fundamentals but none of it was translating into AI visibility. Here is what we found when we started digging:
We looked at over 120 pages including product descriptions, buying guides, and blog posts. Most of it needed a significant rewrite. We restructured each piece to answer real user questions clearly, include factual comparisons, and cover the kind of detail that gives AI tools enough to work with. We also added structured data markup across key pages, FAQ schema, product schema, and HowTo schema, so the content was easier for AI systems to parse and reference.
Content alone was not going to be enough. We needed the brand to be talked about in places that AI tools pay attention to. Our marketing experts ran a targeted outreach campaign to get the brand mentioned in technology review articles, product comparison guides, and editorial buying roundups. Every placement was chosen deliberately based on domain credibility and relevance. We wanted the right mentions in the right places.
We built a query testing system that ran 200+ ChatGPT prompts every week, covering product categories, comparison questions, and buying intent queries. Our team logged where the brand appeared, what context it was mentioned in, and which competitors it was showing up alongside. That data drove our decisions every week. When a category was still blank, we figured out why and addressed it. Nothing was set and forget.
After 90 days, the numbers told a clear story. Here is what changed:
At the start, the brand appeared in less than 4% of our tracked ChatGPT queries. By the end of the 90-day period, that number was at 38%. Queries like best budget laptops, most reliable wireless earbuds, and electronics brands for college students were returning the brand as a recommendation where it simply did not show up before.
At the start, AI-referred visits were barely trackable. Over 90 days, the client saw a 2.1x increase in visitors who had interacted with an AI tool before landing on their site. Post-visit surveys backed this up, with a clear portion of new users saying they first came across the brand through a ChatGPT response. The traffic was real and it was new.
We got the brand mentioned in 35+ places it had no presence before, technology publications, buying guides, and product review platforms. Those mentions helped with AI visibility but they also moved the needle on domain authority and organic rankings. One campaign, multiple returns.
Most brands are not. And the gap between those who show up and those who do not is only going to widen as more people use AI tools to research and buy products. If you want to know where your brand stands and what it would take to fix it, we can start with a free AI Visibility Audit.
