What is ZenithStack and what problem does it solve?
ZenithStack measures whether your brand gets cited inside the LLMs your buyers actually use to make purchase decisions — ChatGPT, Claude, Perplexity, Gemini — then auto-publishes the content that closes each gap, and proves the lift in your inbox every Monday. The unifying metric is citation share: out of every brand the model recommends in your category, what percentage are you?
The same job done by a marketing agency would cost $4–6K/mo of human content work plus a separate monitoring tool, plus a third tool for distribution. We collapse that into one credit ledger.
How do I set up my workspace for the first time?
The onboarding wizard at /onboarding.html walks you through it: brand name, primary domain, brand excerpt, and (optionally) author byline. You also seed your first 10–12 tracked prompts (we suggest them automatically), and dispatch your first AEO audit. Total time: about 4 minutes. You can come back to it later from this help center.
What does the "brand excerpt" field do, and why does it matter?
The excerpt is the AI's grounding context for everything we generate. When the gap-fill engine writes a blog targeting "Best CRM for SaaS startups," it uses your excerpt to decide what your unique angle is — vague excerpts produce vague content. Good excerpts include: what you do, who buys, primary use case, the language your buyers use, and one unique edge (technology, pricing model, focus area).
Example (bad): "We do HR software."
Example (good): "Acme HR is a performance-review platform for 50-500-person SaaS companies. Customers love our calibration-meeting workflow — most competitors don't have one. We replace BambooHR and Lattice in the perf-review use case while integrating with Slack for nudges."
How fast will I see results?
Two timelines run in parallel:
- The tracker populates within 24 hours — the daily sweep at 9:00 UTC fills in your dashboard immediately on the next morning after signup.
- The citation lift from auto-published blogs shows up in 3–14 days, depending on engine. Perplexity reacts fastest (it grounds every query in live web search), ChatGPT and Gemini take longer because they rely on indexed cache. Claude is in between.
Most customers see their first measurable lift in the second weekly digest.