AI doesn’t know you exist.
Let’s fix that.
PromptSeed is the Generative Engine Optimization (GEO) toolkit that gets your brand mentioned in AI answers—ChatGPT, Claude, and Gemini. Simulate prompts, analyze mentions, audit pages, and ship content models can quote.
- 0
- prompts simulated
- 0%
- avg lift in answer‑share
- 0+
- pages audited
- 0.0M
- mentions checked
The problem
AI answers are the new front page. If you’re not there, you’re invisible. Models summarize, not link — they don’t need to cite you.
- Missing from model answers
- Pages optimized for Google, not models
- No visibility into credited sources
The fix
PromptSeed gives you a repeatable GEO workflow — simulate prompts, analyze mentions, and audit pages to earn citations.
- Simulate across ChatGPT/Claude/Gemini
- Analyze mentions & sentiment
- Audit for direct quotability
Try the Prompt Simulator
Run your prompt across engines, compare tone variants, and export a decision log. See how often your brand (and competitors) are referenced.
- Behavior & hallucination summaries
- Fixed engine order + tone tabs
- Save, compare, and export runs
- Rate limits tied to plan tiers
60-sec walkthrough · sample data
What you get
GEO tools that turn invisible brands into go-to sources inside AI answers.
Prompt Simulator
Compare engines, tones, and prompts side-by-side with exportable logs.
Mention Extractor
Track brand mentions, sentiment, and competitors across runs.
GEO Trend Tracker
See what topics engines favor this week and where to earn mentions.
GEO Page Auditor
Audit pages for answer-readiness, schema, and quotability.
GEO Content Generator
Ship content that models can cite—HTML + JSON-LD ready.
Full GEO Report
One export combining Simulator, Extractor, Auditor, and Trends into a single shareable report (PDF/CSV).
Simple, transparent pricing
Start free, upgrade anytime. Annual saves 25%.
“We got our brand cited in Gemini answers after two weeks of using the auditor templates.”
“The simulator made our prompts consistent across the team—huge time saver.”
“Loved the exportable logs for client reporting—felt like real QA for LLMs.”