Proof, not promises. Documented in numbers.
This page holds no fluffy testimonials. As an AI Search Optimization Agency, everything we claim is backed by a documented before-and-after citation count — engine by engine, industry by industry. While the case studies below highlight six representative sectors, Citevora works with brands in any industry, on any continent — the methodology doesn't change, only the entities and sources being optimized do.
Results tracked across every engagement
Documented engagements, by industry
Each case study below reflects a real engagement structure and methodology. Client names are withheld under NDA; the reported metrics are the same figures shared directly with each client.
Increase in Perplexity AI citations over 6 months
How we increased Perplexity AI citations by 400% for a US project-management SaaS company
A mid-market SaaS platform ranked well on Google but was almost never named when Perplexity was asked for project-management tool recommendations. Its competitors, with weaker traditional SEO, were being cited instead.
- Ran an AI Search Readiness Audit across all five target engines
- Corrected inconsistent entity data across three major knowledge graph sources
- Restructured 22 comparison and feature pages into clearly citable claims
Within 180 days, Perplexity citations for core category queries increased 400%, with the brand appearing in first-position answers for 12 of its 15 priority comparison queries.
More ChatGPT brand mentions within 90 days
Tripling ChatGPT brand mentions for a UK-based B2B payments platform
A payments platform had strong analyst coverage but almost no presence in conversational AI answers about payment infrastructure providers, losing early-stage consideration to better-cited competitors.
- Ran an LLM Sentiment & Entity Extraction Audit specific to ChatGPT
- Rebuilt technical documentation into ChatGPT-preferred content structures
- Placed three data-backed guest analyses on independent fintech publications
ChatGPT brand mentions increased 3.2x within a 90-day GEO Content Retainer sprint, with the platform now appearing in category "best of" answers it had never previously surfaced in.
Of tracked queries now surface the client in AI Overviews
Winning Google AI Overview placement for a healthcare compliance software provider
Strict regulatory language across the client's site made it accurate but nearly impossible for an AI engine to extract a clean, quotable answer to common buyer questions.
- Rewrote 30 compliance-related pages into structured FAQ and definition formats
- Deployed FAQPage and Organization schema across every priority page
- Built a recurring content cadence targeting AI Overview–triggering queries
61% of the client's tracked priority queries now surface their content inside Google AI Overviews, up from 9% at the start of the engagement.
Increase in Copilot citation share within category queries
Building Copilot citation authority for an enterprise legal-tech platform
Microsoft Copilot's enterprise integration made it the primary research tool for the client's target buyers, yet the brand's technical documentation was structured for human skimming, not model extraction.
- Mapped competitive knowledge graph gaps specific to Microsoft's ecosystem sources
- Restructured product documentation around Copilot's preferred citation format
- Added a recurring Enterprise GEO Consulting workshop for the internal legal content team
Copilot citation share for the client's core category queries increased 210% over a two-quarter engagement, with the internal team now maintaining part of the workflow independently.
Increase in Gemini citations for technical specification queries
Improving Gemini visibility for a Canadian industrial equipment manufacturer
Detailed technical specification sheets existed only as static PDFs, making them effectively invisible to generative engines answering technical comparison questions.
- Converted core specification data into structured, citable HTML content
- Built a Digital PR placement targeting trade publications and technical directories
- Applied Product and Service schema across the top 40 equipment pages
Gemini citations for technical specification and comparison queries rose 148% over a five-month retainer, with three product lines now cited directly by model and part number.
Combined citation increase across ChatGPT, Perplexity, and AI Overviews
A multi-engine citation strategy for a US retail technology platform
The client needed visibility across all major engines simultaneously ahead of a competitive fundraising cycle, with no single engine acceptable to deprioritize.
- Ran a full AI Search Readiness Audit across all five engines in parallel
- Sequenced a 6-month GEO Content Retainer with engine-specific milestones
- Combined B2B Semantic Content Engines output with monthly citation reporting
Combined citation share across ChatGPT, Perplexity, and Google AI Overviews increased 276% over six months, directly cited in board materials during the client's funding round.
Beyond the six case studies above
A few more focused examples of the specific, standalone problems Citevora solves — independent of industry.
AI Knowledge Graph Optimization
Corrected and reinforced structured entity data for an enterprise client across every major knowledge graph source, closing the exact gaps that were causing generative engines to describe them inaccurately or incompletely.
AI Entity Optimization
Brought a client's brand entity — name, category, relationships, and key facts — to 94% consistency across every engine tested, up from under 50% at baseline, before any new content was written.
AI Search Authority
Built sustained category authority for a client so that, across a full quarter of tracked queries, they became the single most frequently cited source in their competitive set across three engines.
We work with any industry, on any continent
The six case studies and three related examples above are a sample, not a limit. As a remote-first AI Search Optimization Agency, Citevora's audit-first, engine-specific methodology applies to any category and any market — we simply haven't published every industry yet.
How we measure and report every case study
Every figure on this page comes from the same monthly citation, sentiment, and share-of-voice tracking we run for active clients — not a one-time snapshot chosen to look favorable. Baselines are captured before any work begins, using the same AI search visibility audit process described on our services page, so the "before" number is never estimated after the fact. Client names are withheld under standard NDA terms, but methodology, timeframes, and metrics are reported exactly as shared with each client.
Questions about our case studies
Why aren't client names included in these case studies?
Most enterprise clients require confidentiality around their marketing and competitive strategy. Every metric reported here is the same figure shared directly with the client, and references are available privately during a sales conversation where appropriate.
How do you measure a "citation" in the first place?
A citation is counted when an AI engine names the brand directly in its response to a tracked query — either as a source, a recommendation, or an attributed statement — rather than simply appearing somewhere in a linked source list.
Are these results typical for every client?
Results vary by starting point, industry competitiveness, and how quickly a client can act on entity and content recommendations. These case studies reflect real engagement structures and reporting methods, not a guaranteed outcome for every brand.
Do you track results across every AI engine, or just one?
Every active client is tracked across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot individually, since each engine weighs and surfaces sources differently.
How long does it take to see results like these?
Most case studies above reflect a 90-day to 6-month window. Initial movement is often visible within 60 to 90 days, with citation share continuing to compound over a longer retainer.
Can I request a reference call with a past client?
In some cases, yes. Reference availability depends on each client's confidentiality agreement, and can be discussed once we understand your specific engagement scope.
Do these case studies include traditional SEO results too?
No. These figures are specific to generative AI citation performance. Most of these clients maintained separate, existing SEO providers for traditional search rankings alongside this work.
How is my case study data reported if I become a client?
You'll receive the same monthly citation, sentiment, and share-of-voice report referenced throughout this page, with the option to have your results featured here anonymously or by name once the engagement concludes.
Ready to become our next documented result?
Book a call with Citevora and start with the same AI Search Readiness Audit behind every case study on this page.