Crypto Wallet AI Search Case Study

In a span of 5 months along with 535 engagements, this campaign generated an estimated $20,346.25 in monthly branding value. That estimate combines $14,887.93 in organic keyword value with $5,458.31 in LLM cited-pages value.

Methodology note: Directional estimate based on tracked keyword visibility and modeled paid-equivalent value. Not exact attribution.

As AI summaries became a primary way users compared crypto wallets, this brand faced a trust risk: online negative community narratives could be pulled into AI answers at the decision moment. The team moved fast to secure measurable visibility and stronger context inside AI-generated recommendations.

Key Outcomes

Delivered in 5 months with 535 engagements:

• Increased brand mentions in AI Overviews by 120%
• Ranked for 4,136 keywords in Google’s top 10
• 300+ high-impact online community sources strengthened to improve brand context in AI citations

What Changed in the Market

When AI summaries amplify trust and safety risks

In crypto, negative community threads about scams and safety concerns are rampant. The brand's citation architecture, which sources AI pulled from, was exposed to reputational risk at the exact moment buyers were deciding.

Further, as Google AI Overviews, Gemini, and ChatGPT became common platforms for comparing cryptocurrency wallets, the way people discovered and evaluated these apps changed. Instead of relying only on traditional SEO rankings, paid acquisition, or app-store positioning, users increasingly trusted AI-generated summaries that surfaced “best crypto wallet” recommendations in a single answer.

In this new environment, visibility depends on the websites AI systems cite and repeat. These often include online community forums where user discussions shape how AI tools judge credibility, safety, and usefulness.

That meant the brand in question, a cryptocurrency wallet, had to win not just clicks (from Google organic results or paid ads), but also the presence inside AI answers where decisions were being made.

What the Brand Needed

A measurable framework for AI visibility

The brand needed a repeatable way to track and improve how AI systems represented it. Specifically, it needed to measure:

• How often the cryptocurrency wallet appeared in AI answers (mentions)
• Which websites and webpages helped shape those answers (citations), and
• How prominently it showed up versus competitors (share of voice)

The main challenge was to increase not just organic visibility in traditional search, but LLM visibility, where more user decisions are increasingly being shaped at the moment.

What We Did

1. Built an AI visibility baseline

We first reviewed how major AI discovery surfaces referenced the cryptocurrency wallet and what sources appeared alongside it. Our reporting captured citation and reference patterns across AI Overviews, ChatGPT, Gemini, AI Mode, Perplexity, and Copilot. The pattern was clear: across categories, AI systems leaned heavily on high-intent, real-user discussions and trusted public sources.

2. Monitored progress and refined monthly

Next, we tracked month-over-month movement to understand whether new activity translated into more brand mentions in AI answers, and where that lift was coming from. This made it easier to spot the themes and discussion formats that were gaining traction. We then adjusted in real time, leaning into what improved visibility and pausing approaches that didn’t deliver measurable impact.

3. Improved the reference set AI systems pulled from

In crypto, there’s a huge volume of discussion on online communities, and AI tools often pick up what’s most visible and widely referenced. Since public community forums were already among the brand’s most-cited sources, we focused on strengthening accurate, positive brand context within those environments.

Rather than relying on generic blog production, CiteWorks Studio executed an AI citation strategy built around increasing the quality and consistency of brand references tied to common crypto wallet queries. 

We improved the quality, credibility, and consistency of brand context across the sources AI systems already relied on. This helped improve how the brand was represented over time.

“Crypto buyers validate everything before they trust a wallet. We needed to control what they found in forums and AI answers before they ever reached our site. That's what CiteWorks helped us do.”

— Marketing Head, Cryptocurrency Wallet Brand

The Outcome

A stronger footprint in both Google and AI search

The campaign strengthened both page-1 presence and how AI systems referenced the brand.

• 100+ citation-bearing engagements made per month across high-authority sources
• Average ranking position of #6 secured for all high-intent crypto-related keywords
• 120% increase in brand mentions in AI Overviews. This growth was tracked across 80 high-intent crypto wallet queries over 2 months. 
• 4,136 keywords appearing in the top 10, capturing 651K monthly search demand and ~$1.01M in modeled paid media value (keyword volume × cost per click).
• Brand context strengthened across 300+ high-impact cited pages and discussion sources influencing AI answers

These results reinforced why AI visibility can’t be treated as a one-time initiative. The brand now has a repeatable foundation for staying present in AI-driven comparisons, helping it maintain momentum and defend leadership as LLM search continues to reshape how users choose crypto wallets.