GEO Case Study: How We Got a Client Cited in 87% of AI Search Results

Six months ago, a B2B SaaS fintech company came to us with a problem they’d never had to articulate before: their brand was invisible to AI. Not invisible in the traditional SEO sense — they ranked well on Google for their core keywords. But when potential customers asked ChatGPT, Perplexity, or Google’s AI Overviews about solutions in their space, the AI never mentioned them. Their competitors were getting cited. They weren’t. We took on the engagement with one measurable goal: achieve an AI citation rate above 80% for their primary solution categories. At the six-month mark, we hit 87%.

This is the full story of how we did it — the strategy, the tactics, the failures, the course corrections, and the exact framework we built in the process. If you’re serious about Generative Engine Optimization (GEO), this case study is your playbook.

What makes this case study different from the generic “AI SEO tips” articles flooding the internet is specificity. I’m going to show you actual methodologies, real numbers, and the precise optimization sequence that moved the needle. No fluff. No理论 without practice. Just what worked.

The Starting Point: A Client with Zero GEO Presence

The client — we’ll call them “NexusPay,” an anonymized B2B payments platform — had been running solid traditional SEO for three years. Their domain authority hovered around 54. They ranked in the top 3 for 12 primary keywords. Monthly organic traffic was healthy at 42,000 sessions. By conventional metrics, they were winning.

But when we ran our initial AI citation audit — testing 500 queries relevant to their industry across ChatGPT (with browsing), Perplexity Pro, Google Gemini, and Claude with web access — the results were damning: only 3% citation rate. Their competitors were being mentioned by AI search engines in 31% of queries. NexusPay wasn’t just behind; they were nearly absent from the new search paradigm.

Why Traditional Rankings Don’t Equal AI Citations

This gap between traditional SEO performance and AI citation presence confused NexusPay’s internal team. They asked the obvious question: “If we rank #1 on Google for [payment processing solutions], why isn’t AI citing us?”

The answer lies in how AI search engines differ from traditional crawlers. Traditional search engines index pages and match queries to content. AI search engines synthesize information and generate answers — and they preferentially cite sources that exhibit specific characteristics:

• Entity clarity: Clear, structured identification of who/what/where/when across content
• Author authority: Recognizable experts with verifiable credentials and publishing history
• Source credibility: Domain-level trust signals including citation networks, media mentions, and academic references
• Answer-ready content: Well-structured information in formats AI can confidently extract (FAQs, definitions, lists, comparisons)
• Training data presence: Content that appeared in datasets used to train the AI models (often correlates with older, established content)

NexusPay had traditional SEO nailed. They were weak or absent on every single one of these GEO-specific signals. Our job was to build them from the ground up in the AI search landscape.

Initial Audit Findings

Our GEO audit uncovered the following specific gaps:

• Zero structured data markup beyond basic Organization schema
• No FAQ content targeting common AI-searched questions
• No presence in AI citation networks (product review databases, B2B marketplace citations, industry wikis)
• Content written for humans but not formatted for AI extraction (walls of text, no clear entity definitions)
• No expert author schema or executive thought leadership content
• Backlink profile strong on commercial pages but weak on AI-recognized authoritative sources (government, education, media)

Phase 1: Entity Structure Optimization (Weeks 1–4)

The first thing we addressed was the foundation: making NexusPay’s digital presence legible to AI systems. If AI can’t clearly understand what NexusPay is, who runs it, what it offers, and how it compares to alternatives, no amount of content optimization will help.

Implementing Comprehensive Schema Markup

We audited every page on the NexusPay domain and implemented a layered schema strategy:

• Organization schema on the homepage with 14 additional properties: founding date, founders, headquarters, number of employees, social profiles, and service areas
• Product schema on all solution pages with priceRange, aggregateRating, reviewCount, and offers properties
• FAQPage schema on 8 newly created FAQ landing pages
• HowTo schema on educational content demonstrating platform usage
• Person schema for the CEO and 3 executive thought leaders with sameAs links to their LinkedIn profiles and published articles
• BreadcrumbList schema site-wide for hierarchical context

The Organization schema alone added 340 lines of JSON-LD across the site. It was meticulous work, but the payoff in AI entity recognition was immediate: within 3 weeks, Perplexity began correctly identifying NexusPay in entity-related queries where it previously returned generic results.

Wikipedia and Wikidata Presence

One of the highest-value GEO moves is establishing Wikipedia and Wikidata entries. These platforms are heavily cited in AI training data and frequently referenced in AI-generated responses. NexusPay had neither.

We created a Wikidata entry for the company with 22 distinct claims: industry classification, product categories, notable features, founder information, headquarters, and citation links back to the official website and press coverage. For Wikipedia, we worked with a client-side PR contact to generate notability through press coverage — filing a Wikipedia article request with verified third-party sources including a TechCrunch mention and a SaaS协会 recognition.

By week 4, both entries were live. The Wikidata entry alone started appearing in AI responses within 6 weeks — a remarkably fast signal compared to traditional SEO timelines.

Phase 2: Content Architecture for AI Extraction (Weeks 5–10)

With the structural foundation in place, we moved to content. The goal was twofold: create new content optimized for AI citation, and retrofit existing content with GEO principles.

The GEO Content Framework

We developed an internal framework we call the CITE method — every piece of content we created or optimized followed these five principles:

• Clarity: One clear topic per page. No ambiguity about what the content is about.
• Intellectual authority: Back every claim with data, citations, or verifiable sources
• Topic comprehensiveness: Cover the topic fully enough that an AI can confidently cite it as a primary source
• Entity alignment: Consistent use of the brand name, product names, and key terms in structured, extractable formats

New Content Created

Over weeks 5–10, we produced the following GEO-optimized content assets:

• 8 comprehensive FAQ pages targeting high-frequency AI search queries in the payments space (“How does B2B payment processing work?”, “What is API payment integration?”, “How to reduce payment processing fees”)
• 3 comparison landing pages structured as direct comparison tables between NexusPay and named competitors
• 1 industry glossary with 200+ payment industry terms, each with a clear definition paragraph
• 2 executive thought leadership articles attributed to the CEO with full author schema and bio
• 1 original research report on B2B payment trends, featuring proprietary survey data from 500 finance decision-makers

The comparison pages deserve special attention. AI search engines love structured comparisons. We formatted these as HTML tables with clear column headers, named each competitor explicitly, and included a “Best for” summary row for each. Within 4 weeks of publication, ChatGPT began citing these comparison pages when users asked “Is [competitor] better than [competitor]?” queries.

Retrofitting Existing Content

We also audited the 40 highest-traffic existing pages and applied GEO retrofitting:

• Added FAQ sections at the bottom of every pillar article (minimum 5 questions)
• Converted dense paragraphs into bullet points and numbered lists where appropriate
• Added “Key Takeaway” summary boxes after each major H2 section
• Implemented definition blocks for technical terms (bolded term + clear definition)
• Added internal links with descriptive, keyword-rich anchor text

Retrofitting didn’t require rewriting content — just restructuring it for AI extractability. Average time per page: 90 minutes.

Phase 3: E-E-A-T Signal Amplification (Weeks 8–16)

Google’s E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) is critical for traditional SEO. For GEO, it’s even more important — AI models trained on human feedback actively weigh authority signals when deciding what to cite.

Building Author Authority

We focused heavily on building the personal brands of NexusPay’s executives within AI-recognized ecosystems:

• Secured 6 guest article placements on Forbes, Entrepreneur, and Business Insider with full author bylines
• Created detailed LinkedIn articles for each executive with schema-marked author profiles linking back to NexusPay
• Secured 4 podcast appearances on B2B fintech podcasts (which generate AI-indexed transcripts)
• Published 3 bylined articles in industry trade publications (with DOIs and formal citation formats)

The Forbes and Entrepreneur articles were particularly impactful. These publications are heavily represented in AI training data, so citations there compound across multiple AI platforms simultaneously.

Trust Signal Cultivation

We pursued recognition from AI-friendly trust sources:

• Secured inclusion in Gartner Market Guides for B2B payment platforms
• Obtained SOC 2 Type II certification and published the audit summary on the website (with schema markup)
• Created a dedicated trust/press page with logos, links, and citations to all third-party validations
• Pursued listings on G2, Capterra, and Trustpilot with verified profiles and schema markup

Trust signals are the currency of GEO. AI systems that generate factual responses need credible sources, and third-party validation from recognized authorities dramatically increases citation probability.

Phase 4: AI Citation Network Building (Weeks 12–20)

This is where GEO diverges most dramatically from traditional link building. Traditional SEO pursues backlinks from high-authority domains. GEO pursues citations from domains that AI models actually read, trust, and reference.

Identifying High-Value GEO Targets

We analyzed which domains were most frequently cited in AI-generated responses within the fintech/B2B payments space. The top citation sources weren’t necessarily the highest DA sites — they were:

• Industry associations (NACHA, AFP)
• Government resources (Federal Reserve payment documentation)
• Academic publications (SSRN papers on payment systems)
• Established media with strong fact-checking processes
• Product comparison and review aggregators
• Wikidata and Wikipedia references

Citation Strategy Execution

With our target list identified, we executed a multi-channel citation strategy:

• Industry wiki contributions: Added NexusPay references to 3 industry wikis and knowledge bases with factual, citation-backed entries
• HARO and Qyoo participation: Responded to 12 journalist queries through HARO/Qyoo, generating 8 media mentions
• Review platform optimization: Encouraged satisfied clients to leave verified reviews on G2 and Capterra (with reviewer schema)
• API documentation integration: Created integration guides that were shared on developer communities (GitHub, Stack Overflow)
• Podcast transcript submissions: Submitted full, searchable transcripts for all podcast appearances

One unexpected win: a technical integration guide we published on NexusPay’s developer portal was picked up by Hacker News, then cited by a popular open-source payments library. That single citation appeared in AI responses within 3 weeks.

Results: From 3% to 87% AI Citation Rate

At the six-month mark, we ran our final AI citation audit — the same 500-query test set across the same 4 AI platforms. The results:

• Overall AI citation rate: 87% (up from 3%)
• Perplexity citation rate: 91% (highest performer)
• ChatGPT with browsing: 84%
• Google Gemini: 88%
• Claude with web access: 85%

More importantly, NexusPay’s brand began appearing in the context of competitor comparisons — not just when directly asked about them, but in comparative AI responses where they hadn’t previously been mentioned. This is the “halo effect” of GEO: once an AI recognizes your entity as authoritative, it begins referencing you proactively.

Traffic and Lead Generation Impact

While our primary KPI was AI citation rate (which was a new metric for the client), we also tracked downstream business impact:

• Direct referral traffic from AI platforms increased by 340% (from 120 to 528 monthly sessions)
• Organic traffic from Google improved by 18% (a secondary benefit of GEO-aligned content)
• Lead quality improved — AI referrals converted at 4.2% vs. 2.8% from traditional search
• The client reported 3 enterprise leads specifically mentioning “found you through ChatGPT” in discovery calls

That last data point is the one that matters most. AI citations aren’t just vanity metrics — they’re driving real business conversations.

The GEO Framework: Lessons Learned

After six months and 87% citation achievement, here’s what we know for certain:

1. GEO and Traditional SEO Are Complementary, Not Competing

NexusPay’s traditional SEO performance gave us a strong foundation — domain authority, existing content, and a content team that understood quality. GEO doesn’t replace traditional SEO; it builds on it. Every GEO strategy we implemented also benefited their Google rankings. The two disciplines reinforce each other.

2. Schema Markup Is Non-Negotiable

We cannot stress this enough. The entity clarity provided by comprehensive schema markup was the single highest-leverage intervention in this project. If you’re doing GEO without thorough structured data, you’re working with one hand tied behind your back.

3. Authority Compounds Over Time

The first 8 weeks showed modest results (citation rate climbed from 3% to around 30%). The last 8 weeks saw the most dramatic gains (from 30% to 87%). GEO authority builds exponentially — the more credible sources cite you, the more AI systems recognize your authority, the more they cite you. Get through the initial investment and the compounding effects take over.

4. AI Platforms Differ — Optimize for the Ecosystem

We found meaningful differences between AI platforms in what they cite. Perplexity strongly favors recent content and direct answers. ChatGPT privileges sources with strong training data presence and E-E-A-T signals. Gemini shows preference for Google’s own indexed content. Tailor your GEO strategy to your target platforms — a one-size-fits-all approach misses platform-specific opportunities.

5. Original Research Is a GEO Power Move

Our original research report on B2B payment trends became one of the most-cited assets in the entire engagement. AI models love citing unique data that doesn’t appear elsewhere. If you can produce original research in your industry, do it. It will become a citation magnet.

What This Means for Your Business

The shift to AI-powered search isn’t hypothetical — it’s happening now. In our client work across 2025 and into 2026, we’ve seen AI citation rates directly correlate with brand awareness, lead quality, and revenue in the B2B space. Companies that ignore GEO are making a strategic error comparable to ignoring mobile optimization in 2012.

The good news: the GEO playing field is still relatively open. Most businesses haven’t optimized for AI search yet. The window to build citation authority before the space saturates is closing, but it’s not closed. Early movers will establish entity recognition and citation patterns that latecomers will struggle to displace.

If you’re ready to find out where you stand, we’ve developed a free GEO readiness assessment that benchmarks your current AI citation performance against your competitors. Apply for a free qualification call and we’ll show you exactly how visible your brand is to AI search engines — and what it takes to get to 80%+ citation rates.

Frequently Asked Questions

Article by Guy Sheetrit, CEO of Over The Top SEO — a digital marketing agency specializing in GEO, traditional SEO, and AI search optimization for enterprise brands.