Lecture library
Fifteen lectures for industrial GEO
This section holds the full lecture corpus for the course. The recommended path is to read in program order, because later lessons depend on earlier work around entities, sources, language, content, access, and measurement. You can also read selectively when a specific AI answer has gone wrong. Each lecture ends with a short self-check test, meant for your own diagnosis rather than external grading.
Four supplier visibility failures erased from the shortlistwidened from precision maker to general manufacturerattached to a distributor’s authoritycited through an outdated catalogue
The 15 lectures
L01 Define GEO through supplier shortlist failures GEO über Lieferanten-Auswahllisten definieren Entities L02 Trace how models retrieve and cite supplier sources Nachverfolgen, wie Modelle Lieferantenquellen abrufen und zitieren Sources L03 Compare German AI answer surfaces for suppliers Deutsche KI-Antwortoberflächen für Lieferanten vergleichen Sources L04 Clarify brand entities before content expansion Markenentitäten vor Inhaltsausbau klären Entities L05 Mark up supplier facts for machine extraction Lieferantenfakten für maschinelle Extraktion auszeichnen Access L06 Write technical claims models can safely quote Technische Aussagen schreiben, die Modelle sicher zitieren können Content L07 Build authority around narrow industrial categories Autorität rund um enge industrielle Kategorien aufbauen Sources L08 Decide when German or English evidence carries identity Entscheiden, wann deutsche oder englische Nachweise Identität tragen Language L09 Remove access barriers for AI-readable pages Zugangsbarrieren für KI-lesbare Seiten entfernen Access L10 Strengthen references that models can cite Referenzen stärken, die Modelle zitieren können Sources L11 Measure answer presence without inventing precision Antwortpräsenz messen, ohne Präzision zu erfinden Measurement L12 Audit a German supplier site for GEO readiness Eine deutsche Lieferantenseite auf GEO-Reife prüfen Measurement L13 Sequence a GEO campaign for a German SME Eine GEO-Kampagne für ein deutsches KMU sequenzieren Content L14 Prevent common distortions before models repeat them Häufige Verzerrungen verhindern, bevor Modelle sie wiederholen Content L15 Maintain presence as answers and sources drift Präsenz pflegen, wenn Antworten und Quellen driften Measurement
Start where the supplier answer first breaks.
Read in sequence for the full method, or use the index to investigate a specific visibility failure.