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.
8 tools across 4 use-case lanes, built on the FORKOFF qualified-view record. That record is 5B+ views processed through our own clipping network, benchmarked at $0.003 per qualified view, which is what the calculators here price against. 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.
Four checks in one run: a page's AEO signals, AI crawler access, a mobile Lighthouse audit, and whether ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews name your brand.
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 (1.2M / 3M / 5M) is in reach on FORKOFF's RADAR ~500:1 band. 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 bounty board 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.
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.
Paste a domain, get 10 subreddits where the ICP lives plus 3 switching-moment threads from this week. FORKOFF lead-magnet tool, free.
Paste a subreddit name, get a live read of self-promotion tolerance, moderator staffing, and posting cadence. Computed from FORKOFF's own Reddit data infrastructure, 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 150+ 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 150+ 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.
Free, no email gate, no paywall. They run in your browser, save nothing server-side beyond an aggregate hit counter. Outcome-priced FORKOFF engagements are paid; the tools are not the funnel choke point. They are the briefing you bring to the strategy call.
A qualified view is a click that passes the eight-signal audit ledger: geo, device, watch-time, referrer, velocity, session, IP-cluster, re-engagement. Everything FORKOFF reports against is bench'd to this. It is the calibration layer that lets us run outcome-priced campaigns without arguing about vanity metrics.
Both. Every tool reads the same verified proof and routes outputs by lane. AI startups see channel-mix recommendations against AI-Twitter, LinkedIn thought-leader networks, and AI-podcast surfaces. Web3 teams see KOL-tier benchmarks against crypto-Twitter, Telegram, and ecosystem-event surfaces. The math underneath is identical; the recommendations adapt.
They replace the discovery call, not the strategy call. You should arrive at the strategy session already knowing your numbers: budget range, channel mix, qualified-view target, audit-proof floor. That is what the tools output. Forty-five minutes is then enough to design the 90-day operating plan instead of triaging assumptions.
Calibrated against 150+ FORKOFF campaigns and the qualified-view record, not generic industry benchmarks. Outputs sit within roughly 12% of realised cost per qualified view at the campaign level for tech, SaaS, deep tech and Web3/AI campaigns alike. They are budget-grade, not finance-grade; bring the printout to a strategist before you sign anything.
Yes. The AEO Checker is built for that: run a page the vendor works on and the brand, and it scores the page and asks five AI engines whether they name you. For clipping and creator spend, the CPQV Calculator turns their quoted CPM into a cost per qualified view you can hold against the FORKOFF floor. If the gap is wide, that is the conversation to have with the vendor.
No. URLs and inputs run client-side or against a stateless audit endpoint that retains nothing. We log aggregate page hits for traffic counting, not per-user inputs. If you want a confidential audit run, the Qualified-View Auditor supports a no-log mode by default.
AI Visibility tools measure whether your brand already surfaces in AI engine outputs (ChatGPT, Perplexity, Claude, Gemini). Schema & GEO tools help you fix the structural reasons it might not: generating valid JSON-LD markup and auditing your presence in generative-SERP surfaces across five engines. Use AI Visibility first to diagnose, then Schema & GEO to remediate.
Start with AI Visibility if your primary question is whether your brand shows up in AI engines. Start with Cost & ROI if your primary question is how to allocate your marketing budget. Start with Schema & GEO if you already know you have indexing or schema gaps. Internal Helpers are primarily for FORKOFF team and client-side campaign setup.
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 or auditing Reddit 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.
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