01Capture
Pull every signal a click leaves behind.
Geo, device, watch-time, referrer, velocity, session, IP-cluster, re-engagement. Eight signals per qualified-view candidate, captured at distribution time, not after.
8 signals
Per candidate view.
12 tools across 4 use-case lanes, built on the FORKOFF qualified-view record. Run AI visibility audits, model spend before you commit, generate schema markup, and prep campaign briefs. No email gate. Runs in browser.
Most marketing tools sell you a number. Most calculators output a vibe. FORKOFF tools output a decision.
Measure and improve your brand's citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AIO.
Predict your cold email open rate from 5 inputs. Anchored against the FORKOFF outreach ledger (N=1,247 first-touch sends, 52% baseline).
6-dimension AI-native page audit. Schema, snippet, LLM citation surface, linking, answers, freshness. Returns composite tier (A to D) and a prioritized fix-list.
5-LLM AEO scorecard. Paste a brand and a query set, get the per-LLM citation share, snippet ownership, and a combined AEO score.
Confirm whether your brand surfaces in ChatGPT, Perplexity, and Claude results for the queries that matter.
Paste a clip URL and see the fake-vs-real engagement breakdown across geo, device, and watch-time signals.
Enter a launch post's views and likes, get an Authenticity Grade (A / C / F) from the views-per-like ratio on FORKOFF's RADAR thresholds. Computed live, free.
Enter follower count and engagement, get your organic view ceiling and which guaranteed tier (1M / 3M / 5M) is in reach on FORKOFF's RADAR ~500:1 band. Computed live, free.
Pick your audience type and timezone, get the best launch day-and-hour window on FORKOFF's wave-timing heuristics, converted across timezones. Computed live, free.
Deterministic calculators for KOL rates, qualified-view spend, clipper payouts, and full-channel ROI.
5-channel deterministic ROI model. Allocate spend across paid, content, KOL, PR, events; see modeled pipeline and the FORKOFF Clipping channel alternative on the same budget.
5-axis deterministic KOL rate model. Pick platform, tier, content type, vertical, and geo; get market range and modeled qualified-view delivery.
Three-mode tool: estimate qualified-view delivery from budget, convert marketplace CPM to effective CPQV, or price podcast clipping at $0.003 CPQV. Calibrated against 5B+ QV ledger.
Calculate clipper payout per qualified view across platforms (TikTok, Reels, Shorts) and CPM rate bands. Forecast monthly take-home.
Generate valid JSON-LD schema markup and audit generative-SERP presence across five AI search surfaces.
Generate valid Schema.org JSON-LD markup for any page type. Output is validator-ready and AEO-optimized for AI engine indexing.
5-engine generative-SERP audit. Google AI Overview, Bing Copilot, SearchGPT, Perplexity, You.com. Per-engine presence, weighted composite, source-set bias, prioritized lift plan.
Campaign brief wizards, clipper eligibility self-screens, and internal workflow tools.
Walkthrough wizard for assembling a clipping campaign brief: ICP, watch threshold, geo, brand-safety, payout rate. Outputs a brief-ready JSON.
Self-screen for the FORKOFF clipper network: traffic-history check, view-baseline, geo disclosure, platform-mix. Output an eligibility score.
Paste a domain, get 10 subreddits where the ICP lives plus 3 switching-moment threads from this week. FORKOFF lead-magnet tool, free.
Every FORKOFF tool reads from the same three-step methodology. That is why the outputs are decisions, not vibes. The same proof powers AI startup campaigns and Web3 protocol launches alike.
Geo, device, watch-time, referrer, velocity, session, IP-cluster, re-engagement. Eight signals per qualified-view candidate, captured at distribution time, not after.
8 signals
Per candidate view.
Each signal compared against the qualified-view record that 200+ FORKOFF campaigns built. Fake-cluster activity drops out, organic clicks pass, the rest get manual review on borderline calls.
99.71%
Bench floor.
Outcome-priced cost per qualified view, channel mix recommendation, and a yes/no on whether the spend ladder makes sense. The number you bring to the strategy call.
$0.003
Calibrated, not estimated.
99.71%
Qualified-view legitimacy
Across 200+ FORKOFF campaigns.
$0.003
Average cost per qualified view
Calibrated, not estimated.
50+
Distribution channels routed
X, TG, Discord, LinkedIn, YouTube, TikTok.
50
Ecosystem activations
Across 14 countries.
Pick a tool above. Run your numbers. Bring the printout to the strategy call. Forty-five minutes from estimate to a 90-day operating plan.
Free tools to scope, audit, and benchmark your marketing engagements. Most run client-side or against FORKOFF first-party data. Pick the closest to your decision step.
Audit tools
6 pagesRun a free scorecard on your AI search visibility, AEO surface, GEO substrate, qualified-view denominator, and launch authenticity before scoping a managed engagement.
Calculators
4 pagesCPQV, marketing ROI, KOL rate, clipper payout. Each calculator runs against the FORKOFF first-party data benchmarks.
Predictors + launch planners
3 pagesCold email open-rate predictor calibrated against the FORKOFF outreach ledger (1,247 first-touch sends, 2026), plus launch planners that estimate your organic view ceiling and the best day and hour to fire.
Builders
5 pagesOperator tooling for scoping a brief, checking eligibility, generating Schema.org markup, and shortlisting Reddit lead-gen surfaces.
Need a tool not in the catalog?
FORKOFF builds operator tooling on demand for retainer clients.
If your team needs a custom tool (forecast model, segment-cut, custom benchmark), talk to a strategist. Tool builds are part of retainer scope.
A 2026 wave of subreddits is banning AI-generated content. The ban taxonomy, five verified rule changes, and the disclosure-first playbook a brand runs.
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On an ordinary post a pod costs you some reach. On a launch it costs you the only measurement you had. LinkedIn's own trust VP explains where the penalty lands.
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The mechanic every ranking page skips: five live brand AMAs all run on a u_BRAND profile page, not r/IAmA, and no editorial guide currently explains why.
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