Crypto Wallet AI Search Case Study

Results at a Glance

In 5 months, this campaign improved AI visibility and search presence for a cryptocurrency wallet brand while generating an estimated $20,346.25 in monthly branding value from tracked keyword visibility and LLM cited-pages value.

$20,346.25 in monthly branding value

This directional estimate combines $14,887.93 in organic keyword value with $5,458.31 in LLM cited-pages value.

5 months with 535 engagements

The campaign was delivered in 5 months with 535 engagements.

120% increase in brand mentions in AI Overviews

This reflects stronger visibility in AI-generated recommendations.

4,136 keywords in Google’s top 10

The brand ranked for 4,136 keywords in Google’s top 10.

300+ high-impact online community sources strengthened

These sources were strengthened to improve brand context in AI citations.

What Changed in the Market

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.

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.

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 had to win not just clicks, but also presence inside AI answers where decisions were being made.

What the Brand Needed

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

Measurable Framework for AI Visibility

It needed to measure how often the cryptocurrency wallet appeared in AI answers, which websites and webpages helped shape those answers, and how prominently it showed up versus competitors.

Stronger Visibility at the Decision Moment

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

The team built a repeatable AI citation strategy to measure visibility, track progress, and strengthen the sources AI systems relied on.

Built an AI Visibility Baseline Across Discovery Surfaces

The team reviewed how major AI discovery surfaces referenced the cryptocurrency wallet and what sources appeared alongside it. 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.

Tracked Month-Over-Month Visibility and Refined the Approach

The team 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. The approach was then adjusted in real time, leaning into what improved visibility and pausing approaches that didn’t deliver measurable impact.

Improved the Reference Set AI Systems Pulled From

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

Executed an AI Citation Strategy Around Common Wallet Queries

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

The Outcome

The campaign strengthened both page-1 presence and how AI systems referenced the brand, creating a repeatable foundation for staying present in AI-driven comparisons.

• 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