Use prompts-gpt.com to monitor, explain, and improve AI visibility.
These public docs cover the core application workflow: set a baseline, organize projects, monitor buyer prompts, inspect source evidence, and convert answer gaps into content and citation actions.
Start with a visibility baseline
Run a public AI visibility check for your domain, category, and competitors before creating a workspace. Use the baseline to choose the prompts worth monitoring.
Create projects and prompt monitors
Group work by brand, domain, market, competitor set, and buyer intent. Add recommendation, alternatives, category, local, and problem-aware prompts.
Review answer evidence
Compare mention rate, answer position, sentiment, competitor pressure, citations, model coverage, source quality, and crawler signals from each scan.
Turn gaps into actions
Prioritize content briefs, source fixes, llms.txt updates, comparison pages, FAQ changes, and media outreach from the evidence behind each answer.
The docs map to the workflows teams run every week.
Use these guides to keep AI visibility work repeatable: one domain context, one monitored prompt system, one evidence trail, and one action backlog.
Workspace setup
Configure a brand domain, competitors, market context, and reporting preferences so scans stay consistent across teams.
Prompt monitor design
Build reusable prompt sets around the buying questions people ask ChatGPT, Gemini, Perplexity, Claude, and other AI assistants.
Source and citation review
Classify owned pages, competitor pages, reviews, publishers, videos, communities, and directories that appear in AI answers.
Reports and exports
Use recurring reports and CSV exports to share answer evidence, source gaps, and next actions with brand, SEO, and agency stakeholders.
Free tools
Use the checker, query generator, and llms.txt generator as public entry points before moving the workflow into a saved workspace.
Trust and account controls
Review privacy, terms, security, and cookies pages before using customer domains, private prompts, or reporting workflows.
Read trust and legal docs before sending sensitive context.
Do not submit confidential customer records, private strategy, unreleased product information, or private URLs into public preview tools.