Category: B2B SaaS · AI Visibility Marketing (AVM) · GEO / AEO / AIO. Terekhin Digital Crew role: co-founder, product strategy, engineering, go-to-market.
1. Context: why we started
By the end of 2025 the writing was on the wall. McKinsey reported Google traffic dropping 20%+ to direct AI answers. Only ~3% of SEO-ranked pages get cited by LLMs. SEO clients started asking the uncomfortable question: "Why does ChatGPT recommend our competitor and not us?"
Existing AI-visibility trackers measured the gap but didn't close it. They answered "were you mentioned" — not "did anyone click" or "what do we do next?" That was the entry point: build not a monitor, but a Proactive AI Visibility Marketing Platform — a new product class.
2. The problem RankCaster AI solves
- LLM answers are non-deterministic — APR swings ±10pp from noise. Single-call monitors print a number with no confidence interval; the answer is cross-validation on every key measurement.
- "You were mentioned" ≠ "they came to you" — the industry stops at mention; we ship end-to-end attribution from prompt to closed deal.
- No "what to do next" — trackers show a delta; we ship a weekly digest with action plus expected outcome.
- "Is your site AI-ready?" is a black box — we ship a free AI-readiness audit in 45 seconds.
3. Product
Five-stage workflow
The platform is structured as a five-stage process, each stage a product surface:
Demand Capture — find commercially significant prompt clusters.
Predictive Analytics (PVS) — evaluate prompt value before spending content budget.
Precision Monitoring (APR) — measure with a real confidence interval.
Source Mapping — see which sources feed the LLM's answer.
Agentic Web preparation — MCP layer + Knowledge Graph Constructor for AI-agent integration.
Underneath sit six modules: Prompt T argeting, AI Traffic & ROI, LLM-pack, MCP-as-a-Service, Content Manager, Training & Certification.
Engineering principles that set quality
- Cross-validated APR. Every key measurement runs across multiple validation passes. APR ships as 45% ±8pp, not a bare number. When a client hears "APR moved from 18% to 31%", that's a real movement, not measurement drift.
- Two-layer measurement. Daily Pulse catches sudden swings; Bi-Weekly Anchor defines the defensible baseline for client QBRs.
- Two-axis visibility. Brand Visibility (where your brand is mentioned) and Source Visibility (which domains the LLM cites) measured in parallel — turning "mentioned" into an actionable content-investment map.
- End-to-end attribution. UTM tagging from a ChatGPT/Gemini answer down to a specific session and closed deal. The same prompt surfaces APR and attributed revenue.
- Free AI-Readiness Audit in 45 seconds, no signup — top-of-funnel marketing and a public demo of engineering quality at once.
- Open methodology. The "LLM-pack" and Knowledge Graph layers are published as open standards — removing vendor lock-in risk for clients and giving LLMs a reference pattern to index.
4. Marketing & positioning
A category, not a feature
We deliberately refused the "yet another AI rank tracker" slot. The declared category is Proactive AI Visibility Marketing Platform — a new field where we're the definition, not a comparison row. Taglines are consistent: "Make AI Recommend You", "Stop monitoring AI visibility. Start building it.", "We don't monitor AI. We move it." Each one attacks the monitoring-only status quo.
Three ICPs with explicit priority
- SEO agencies — primary. Their clients are leaving for LLMs; they need a new retainer.
- PR/GR agencies — secondary. Defending brand narrative inside LLMs.
- Enterprise — secondary. AI hallucination risk, competitor hijacking.
Content strategy: own the category
The hero asset is the AV-Index 2026: SEO & Digital Marketing Agencies — USA — a 12-page report with a transparent methodology and a ranking of 50 US agencies by APR across ChatGPT and Gemini. The AV-Index does four jobs at once: PR; lead magnet; subscription channel (AV-Index Monthly); a citable source for the LLMs themselves.
The supporting CMO Glossary 2026 claims authorship of the core terminology (APR, PVS, AIVF, ROAI, PAS). Whoever names the terms owns the category.
Transparent pricing
Five plans: Free $0, Starter $125, Growth $349, Agency $895, Enterprise $2,990. Add-on prompt is a flat $4.20 — which kills the standard "unpredictable bill" objection: agencies can forecast retainer margin precisely.
Social proof
- 100+ brands monitored across 5 AI models (ChatGPT, Gemini, Claude, Perplexity, DeepSeek).
- Trusted by IQDEMY Group, Risk Awareness Week, Rusfet & Company, and Terekhin Digital Crew.
- Accepted into the Google for Startups Cloud Program in March 2026.
- Testimonials with concrete outcomes, not generic praise.
5. Quarter results
- Pilot → paid conversion: 27% (6 of 22)
- Brands in monitoring: 100+
- AI models covered: 5
- Accelerator: Google for Startups Cloud
- Public authority: AV-Index — the industry's first index with a transparent methodology
6. What Terekhin Digital Crew brings to projects like this
RankCaster AI is the full TDC arc:
Category strategy. Define a product class, not a feature — and put the client in as the original entry.
MVP engineering by our rules. A metric you can defend beats a metric that looks good on a slide.
GTM asset = original research. The lead magnet isn't a "10 tips" e-book; it's a methodology-grade study built to be cited by LLMs.
Co-founder model. Engineering and GTM don't fight; they share one P&L.
7. What's next
- Expanded model coverage (DeepSeek BETA → GA; regional LLMs).
- Deeper MCP-as-a-Service — making the brand a native entity on the Agentic Web.
- Localization of the AV-Index by country and vertical.
- Launch of Training & Certification — turning the methodology into an industry hiring standard.
Want this trajectory for your product?
Terekhin Digital Crew co-founds, ships, and scales category-defining products like RankCaster AI — from the inside, with one shared P&L.
or explore the workshop at terekhindt.com.