Three libraries. One AI discovery system.
Benchmark-led market intelligence, real client engagements, and company-level readouts — built to show enterprise teams exactly how AI systems recommend their category and what to fix next.
Real CiteWorks engagements
Client Implementation Case Studies
Documented CiteWorks Studio engagements with measurable outcomes across AI recommendation share, citation footprint, source authority, search visibility, and competitive positioning — the work delivered, the problem solved, and the metrics that moved.
Benchmark-led market intelligence
AI Industry Market Discovery Reports
Category-level analyses powered by LLM Authority Index. Each report summarizes how AI systems recommend a market, why it matters for buyer discovery, what's likely causing the gap, what CiteWorks Studio would prioritize fixing, and the actionable plays brands can implement to lift LLM visibility.
Pillar 01 · Client engagements
Client Implementation Case Studies
What CiteWorks Studio builds, improves, and measures.
These are the documented CiteWorks Studio engagements: real execution, real measurement, and outcomes tied to client data.
Where AI Industry Market Discovery Reports show how a market is behaving, case studies show how CiteWorks Studio helps brands respond — the work delivered, the visibility problem solved, and the measurable movement across AI recommendations, citations, source quality, search performance, and competitive positioning.
- What changed in the market?
- What did the brand need?
- What did CiteWorks Studio do?
- Which metrics improved?
- What was the commercial takeaway?
How AI Search Is Recommending Blockchain Platforms
See how AI search recommends blockchain platforms, with BNB Chain leading recommendations while Ethereum and Solana show visibility without conversion.
- Type
- Case Study
- Work
- AI visibility, citation architecture, search visibility
- Status
- Client result
Tax Relief AI Search Case Study
See how a tax relief firm gained 9,984 top-10 keywords, 500+ AI-cited sources, and 112.5% more AI Overview mentions.
- Type
- Case Study
- Work
- AI visibility, citation architecture, search visibility
- Status
- Client result
Pillar 02 · Market intelligence
AI Industry Market Discovery Reports
Benchmark intelligence, translated into the fixes that move recommendation share.
AI Industry Market Discovery Reports take the LLM Authority Index benchmark for a category and turn it into a decision document — what AI systems are recommending today, why that matters for buyer discovery, what's most likely causing the gap, and the remediation work that closes it.
Each report is built for enterprise teams who need a clear read on category dynamics and a prioritized action list they can hand to marketing, content, and SEO leadership.
What's inside every report
01
Benchmark summary
The LLM Authority Index findings for the category — recommendation share, top-three capture, rank-one positions, sentiment, and platform-by-platform variance.
02
Why it matters for buyer discovery
How those benchmark signals translate into commercial risk: where shortlists are being formed inside AI answers, and where buyer trust is being awarded or withheld.
03
Likely causes of the gap
A diagnostic read on what's suppressing recommendation credit — content coverage, citation footprint, entity clarity, third-party authority, or prompt-cluster blind spots.
04
What CiteWorks would prioritize fixing
The remediation sequence CiteWorks Studio would run first: the sources to build, the pages to rewrite, the citations to earn, and the prompt clusters to defend.
05
Actionable plays you can implement
Concrete moves enterprise teams can ship in-house to lift LLM visibility — owned content patterns, third-party placements, schema, and recommendation-stage proof points.
How AI Search Is Recommending Crypto Exchanges
See how AI recommends crypto exchanges, where Kraken leads, Binance challenges, and Crypto.com owns a distinct all-in-one lane.
- Type
- AI Industry Market Discovery Report
- Source
- LLM Authority Index benchmark data
- Status
- Independent market analysis
How AI Search Is Recommending Crypto Wallets
See how AI recommends crypto wallets, where Ledger leads custody, Trezor challenges, and Trust Wallet, MetaMask, Exodus, and Zengo compete.
- Type
- AI Industry Market Discovery Report
- Source
- LLM Authority Index benchmark data
- Status
- Independent market analysis
Benchmark data published by LLM Authority Index.
From Benchmark to Remediation
From benchmark insight to remediation priorities.
LLM Authority Index identifies how AI systems are recommending a market. CiteWorks Studio translates those findings into the commercial questions brands need to answer:
Benchmark signals
- Which brands are visible?
- Which brands are actually recommended?
- Which competitors win top-three positions?
- Which buyer-stage prompts carry the most risk?
- Which platforms produce different recommendation patterns?
CiteWorks remediation lens
- Which content gaps are suppressing recommendation credit?
- Which citation sources need to be built or strengthened?
- Which comparison and pricing prompts need better coverage?
- Which third-party authority signals are missing?
- Which AI visibility fixes should be prioritized first?
Methodology & Trust
How to read these reports.
CiteWorks Studio separates market intelligence from client results.
Market intelligence
AI Industry Market Discovery Reports are benchmark-based examinations of how AI systems recommend, compare, and frame companies in a category. They are independent market analyses and should not be read as client engagements.
Company readouts
AI Company Market Strategy Reports are company-specific public readouts based on a limited scope of high-intent prompt clusters. They show directional recommendation patterns, not a replacement for a full AI visibility audit.
Case studies
Case Studies describe actual CiteWorks Studio work and only include outcomes supported by client data, campaign data, search data, AI visibility data, or citation evidence.
Recommendation metrics should be interpreted carefully. Mention volume is not the same as recommendation credit, and benchmark snapshots reflect a point-in-time view of the AI systems sampled.
Next Step
See how AI is recommending your category — and what to fix first.
Request an AI Visibility Audit and get a prioritized plan grounded in the same benchmark data behind every CiteWorks Studio report.