Tutorials
Step-by-step guides and video tutorials to help you master AI visibility optimization.
Getting Started with LLM Metrix
Walk the six-step signup, run a real first scan, and learn to read the Overview page — including which parts of it are your data and which are sample illustration.
Understanding Your Visibility Score
Follow the visibility score from a single AI answer to the 0–100 headline number, and learn which of its three components is actually holding you back.
Setting Up Smart Alerts
Alerts are derived from each scan and the one before it rather than built from rules — choose which findings reach you, set up email and webhook delivery, and learn the cases where nothing arrives on purpose.
Optimizing Your Content for ChatGPT
Measure how ChatGPT represents your brand, work out whether its answers are grounded or recalled, and act on the difference — including the crawler decision most sites get wrong.
Mastering Competitor Benchmarking
Track rivals two different ways — as co-mentions inside your own answers and as first-class scanned subjects — and read the share-of-voice trend without over-reading it.
Citation Intelligence Deep Dive
Read the sources AI engines lean on for your queries — and understand why a citation with a real URL and a citation without one are two different measurements.
Geo-Specific Optimization Strategies
Configure a project's target market, scan the same prompts across several markets, and compare the results without contaminating your home-market trend line.
Brand Safety Monitoring Setup
Find the claims AI engines are making about your brand, judge how urgent each one is, and fix the source rather than arguing with the model.
Multi-Engine Optimization Strategy
Track seven answer surfaces without seven strategies — why enabling every engine costs no more than enabling one, and how to tell a real per-engine gap from a configuration one.
Understanding Answer Engine Rankings
Read the five answer-position buckets on the AI Rankings page, tell a real absence from a missing measurement, and act on the distribution rather than the average.
Setting Up Tracked Prompts
Replace auto-generated discovery queries with the exact questions your buyers ask, and understand the per-project prompt cap and what each prompt costs in credits.
Verifying Your Domain
Prove control of a domain with a meta tag or a DNS TXT record, and understand exactly which capabilities each tier unlocks — and why scanning is not one of them.
Tracking Google Search Performance
Connect Search Console on any plan, backfill 16 months of daily totals plus 90 days of query and page data, and compare what you rank for against what AI engines actually say.
Monitoring AI Traffic and Crawlers
Install the attribution tag, upload server logs, and read the crawl-to-refer ratio that shows what AI engines take from your site versus what they send back.
Finding and Closing Content Gaps
Use the query gap table and the site-wide GEO audit together: find the questions AI answers without you, then fix the pages that should have earned the mention.
Diagnosing and Restarting Background Jobs
Read the Activity page, tell a job that is recovering on its own from one that has given up, and restart the ones that need it without ever double-charging a scan or double-sending an email.
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