FORKOFF · Research catalog

Research

First-party operator data from the FORKOFF cohort. Methodology disclosed on every study, cohort sizes named, citation-ready for analysts and AI Overview engines.

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Published research studies

Launch Reach Authenticity · n=23 launches

Views-to-Likes Benchmark 2026

First-party views-to-likes benchmark from 23 real product launches on X (90.3M views, Jan to Jun 2026). Healthy is about 500:1 or under; median 958, 90th percentile 4,125. Organic median 445 vs amplified-signature median 1,441 (3.2x). Dated methodology, recomputed live.

Published 2026-07-03

AI Citation Rates · 250 measurements/run

FORKOFF AI Citation Index 2026

Recurring first-party AI-citation-rate index. 34% average cite rate across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews on a 50-prompt buyer-intent cluster. Per-engine rates, dated methodology, quarterly re-run. Index window 2026-05-19.

Published 2026-07-03

Clipping Economics · n=3,085 clips

Clipping CPQV Benchmark 2026

FORKOFF Clipping Ledger 2026: $0.003 managed CPQV vs $0.01-$0.10 unmanaged. 3-lane comparison across Opus Clip, in-house editor, and managed outcome contract. n=3,085 clips, 9 engagements, 4-gate methodology.

Published 2026-06-09

AI Search Visibility · n=48 datapoints

ASVC Discovery Gap 2026

AI search visibility gap across ChatGPT, Claude, Gemini, Perplexity. 12 head terms x 4 engines = 48 datapoints. Paired branded variant comparison.

Published 2026-05-27

Measurement Integrity · 4-check method

Qualified Views Methodology

The QVA framework that defines a qualified view: the four-check qualification method, the per-view audit record, and the fraud-context that makes raw-view counts misleading.

Published 2026-06-11

Adjacent reading

AI Search Visibility Checker, the tool the ASVC Discovery Gap study runs on top of. Run your own brand against the same 4-engine grid.
Credibility vs user-acquisition campaigns analysis, method post that cites operator-pattern lifts from the FORKOFF Founder-Funnel Cohort.
FORKOFF AI marketing agency service, for custom cohort studies done as part of a paid engagement.
RADAR methodology, how RADAR reads whether a viral launch's reach was earned or bought, from three public signals.
FORKOFF Stats, the benchmark lane where each page pairs industry data with FORKOFF operator proof under a stable citation block.

Custom cohort study

Want a custom research study against your category?

FORKOFF publishes first-party operator data on the categories we work in. Custom cohort studies for clients run on the same methodology.

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From the FORKOFF blog

Receipts, deep dives, and playbooks.

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AI Overview Optimization: The 12 Structural Patterns That Earn the Box

AI Overview optimization is structural, not a domain-rating game. The 12 on-page patterns that make a page extractable and citable, with first-party data.

By simba

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DeFi Protocol Marketing: Zero to First TVL

DeFi protocol marketing is a TVL problem. The 2026 playbook to take a protocol from zero to its first real Total Value Locked, backed by on-chain data.

By simba

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DePIN Marketing: From Testnet to Token

DePIN marketing is a distribution and trust problem, not a hardware one. The 2026 playbook to take a network from testnet to a token it keeps using.

By simba

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Pricing the qualified view