Household Appliance AI Search Case Study

Results at a Glance

A 3-month campaign with close to 200 engagements generated an estimated $122,454.73 in total estimated monthly branded value, based on tracked keyword visibility and modeled paid-equivalent value.

$122,454.73 in total estimated monthly branded value

This directional estimate reflects the combined value generated across organic keyword visibility and LLM-cited pages.

$119,757.18 in organic keyword value

This represents the estimated monthly branded value attributed to organic keyword visibility.

$2,697.55 in LLM-cited pages value

This represents the estimated monthly branded value attributed to pages cited by LLMs.

400% month-over-month lift in ChatGPT brand mentions

The campaign drove a 400% month-over-month increase in how often the brand was mentioned in ChatGPT.

13,679 keywords in Google’s top 10

The brand ranked for 13,679 keywords in Google’s top 10 results.

100 online community threads optimized

The campaign optimized 100 online community threads to improve brand context in AI citations.

What Changed in the Market

As shoppers increasingly relied on online communities and AI summaries to compare home appliances, product discovery shifted away from product pages alone. Recommendations were increasingly formed across high-intent public discussions and the sources AI systems reference when generating answers.

In home appliances, a small number of high-authority community forums, particularly those focused on home improvement and long-term purchase value, disproportionately shaped what AI tools recommend. The brand had limited visibility in exactly those sources.

At the same time, competitors outranked the brand on Google page 1 for high-intent searches like best household appliance product and comparison-style queries. Google AI Overviews, Gemini, and ChatGPT also became common tools for researching and comparing household appliances, with more shoppers trusting AI-generated summaries before clicking through to any site.

In practice, ranking position was no longer the full story. AI answers reflected what the web already says, especially third-party reviews and real-user discussions, which shaped how buyers perceived performance, reliability, and value.

What the Brand Needed

The brand needed a clearer way to diagnose and improve how it appeared across both traditional search results and AI-driven product discovery.

Win Visibility in AI Answers

They needed a repeatable measurement framework that could track mentions, citations, and share of voice across AI-generated answers and competing household appliance brands.

Build Reliable LLM Visibility for High-Intent Comparisons

The aim wasn’t only to climb Google page 1. It was also to build reliable LLM visibility so the brand showed up consistently when shoppers were making high-intent comparisons at the moment.

What We Did

CiteWorks Studio built visibility where recommendations are formed, across high-intent public discussions and the sources AI systems reference when generating answers.

Mapped How AI Recommendations Were Formed Across Platforms

The team reviewed how leading AI tools described the household appliance brand and which sources they pulled into those summaries. Visibility reporting tracked citation patterns across AI Overviews, ChatGPT, Gemini, AI Mode, Perplexity, and Copilot to show which product pages, reviews, and online discussions most often shaped how the brand appeared in AI answers.

Tracked Month-Over-Month Lift and Optimized Continuously

Month-to-month movement was monitored to see whether new activity led to more brand mentions, stronger citations, and improved share of voice in AI responses. This made it easier to identify which shopper questions and comparison themes, including features, pricing, ease of use, and performance, were gaining traction, then adjust based on results.

Strengthened the Sources AI Systems Relied On for Recommendations

Because purchase decisions were heavily influenced by what people recommend, compare, and validate on public forums, the work focused on strengthening accurate, positive brand context in those environments. Rather than relying only on generic blog output, CiteWorks Studio executed an AI citation strategy designed to increase the quality and consistency of brand references tied to common best household appliance and comparison searches.

The Outcome

Across traditional search and AI-generated product summaries, the brand saw measurable improvements in visibility for high-intent queries.

• Average ranking position of #7 secured for all high-intent keywords
• 400% increase in brand mentions in ChatGPT across 100+ high-intent queries
• 13,679 keywords appearing in the top 10 results covering 3.9M in combined monthly search volume and ~$4,866 in paid-search benchmark value
• Brand context strengthened across 100 high-impact community sources and cited pages influencing AI answers