Case Studies
Apr 30, 2026 (Upd May 01, 2026) - 3 minutes read

How fraud.net 10'xd their content output and won 1,000+ AI citations from scratch.

fraudnet-webp

Fraud.net is a B2B SaaS platform that helps enterprises detect and prevent fraud across payments, identity, and account activity. They compete in a crowded market alongside well-funded players — all of whom are aggressively fighting for the same buyer attention in search.

When they came to AUQ, the site was heading into a full redesign, organic traffic had stagnated, and there was no content infrastructure capable of competing for the long tail of high-intent keywords in their category. They needed a partner who could execute — not just recommend.

1,230


AI Overview Citations

+85%


Growth in ranking keywords

400+


Pieces of AI content in 6 months

Site redesigns are one of the highest-risk events in SEO. Done wrong, they erase years of accumulated ranking signals overnight. fraud.net’s redesign was significant — new URL structures, new page architecture, new content strategy — and the team needed to ship without sacrificing the organic footprint they’d already built.

At the same time, the competitive landscape was intensifying. Rivals had stronger domain authority and larger content teams. The only sustainable path to category leadership was building a programmatic content engine that could outproduce the competition on topical depth, not just domain strength.

And then there was the emerging challenge neither fraud.net nor most of their competitors had planned for: AI search. Buyers were increasingly starting their research conversations in ChatGPT, Perplexity, and Google’s AI Mode — and fraud.net wasn’t in those answers at all.

The shift to AI-powered search is the biggest structural change in B2B buyer behavior since Google replaced directories. SaaS decision-makers are increasingly researching solutions by asking ChatGPT, Perplexity, and Google’s AI Mode — and those tools answer by citing the sources they trust most. We built fraud.net’s content to be that source.

Technical foundation & redesign protection

Before a single new page went live, we ran a full technical audit of fraud.net’s existing site — crawling every indexed URL, documenting internal link equity, identifying canonical issues, and mapping the full redirect architecture required by the new URL structure. Every page was accounted for. We built and QA’d the redirect rules directly in Webflow before the cutover, and ran post-launch crawl validation within hours of go-live to catch any edge cases.

We also audited Core Web Vitals, structured data implementation, and sitemap configuration as part of the launch prep. The result: the redesign shipped cleanly. No significant traffic loss, no ranking drops, no indexing gaps. It’s the kind of outcome that looks unremarkable on the surface but represents an enormous amount of careful upstream work — and the kind of risk most agencies don’t take seriously until it’s too late.

seo architecture audit
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AI content automation pipelines

We engineered three distinct content automation workflows, each targeting a different layer of the funnel.

  • The first was a niche landing page system — programmatically generating SEO-optimized pages for high-intent buyer queries across fraud types, industries, and use cases. Each page was templated for consistency but reviewed and refined by human editors before publishing, ensuring quality at volume.
  • The second pipeline produced “best of” listicles structured specifically to earn AI citations — with comparison tables, clear entity definitions, and the kind of source-able data that LLMs pull from when generating answers.
  • The third pipeline addressed topical authority at the category level: short-form glossary articles covering the full vocabulary of fraud prevention, identity verification, and risk management. These articles don’t drive direct conversions — they establish fraud.net as the definitive reference in the space, which is exactly what search engines and AI tools look for when deciding who to rank and cite.

Together, the three pipelines more than doubled fraud.net’s ranking keyword footprint and were the primary driver of the September 2025 traffic surge.

seo and geo content templates

GEO strategy & AI visibility infrastructure

As AI-powered search became a material part of how B2B buyers research software, we built a parallel track focused entirely on Generative Engine Optimization — the practice of structuring content so that LLMs cite it when answering buyer questions. That meant auditing existing content for entity clarity, adding structured comparison sections, improving definition depth, and building out resource pages that serve as natural reference points for AI-generated answers. We also began proactively targeting the specific questions buyers are asking AI tools in the fraud prevention space.

Alongside the content work, we built fraud.net a custom AI visibility reporting setup — tracking mentions, citations, and impressions across the major AI tools (ChatGPT, Perplexity, Google AI Mode) and benchmarking their share of voice against key competitors including Sift, Forter, Riskified, and Signifyd. Most SaaS companies in this space have no idea how often — or how rarely — they appear in AI answers. fraud.net now has that visibility, and the data to act on it. By April 2026, they’d reached 5.6% AI share of voice with 937K+ monthly impressions and 1,230+ active citations across the category.

keyword research for llms

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