{"id":2395,"date":"2025-12-15T11:31:02","date_gmt":"2025-12-15T10:31:02","guid":{"rendered":"https:\/\/gaiseo.com\/glossar\/"},"modified":"2025-12-26T13:11:50","modified_gmt":"2025-12-26T12:11:50","slug":"glossar","status":"publish","type":"page","link":"https:\/\/gaiseo.com\/de\/glossar\/","title":{"rendered":"Glossar"},"content":{"rendered":"\t\t
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Knowledge Base<\/div>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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Das AI-SEO Glossar<\/span>\n<\/h1>\t\t\t\t<\/div>\n\t\t\t\t
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\n Alles, was du \u00fcber die neue \u00c4ra der Suche wissen musst. Von Agentic Commerce bis Vector Spaces. \n<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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A<\/a>B<\/a>C<\/a>D<\/a>E<\/a>F<\/a>G<\/a>H<\/a>I<\/a>J<\/a>K<\/a>L<\/a>M<\/a>N<\/a>O<\/a>P<\/a>Q<\/a>R<\/a>S<\/a>T<\/a>U<\/a>V<\/a>W<\/a>X<\/a>Y<\/a>Z<\/a><\/div>
A<\/div>
Agentic Commerce<\/a>Agentische KI<\/a>AI Overviews<\/a>AI Visibility Score<\/a>Answer Engine<\/a>Answer Engine Optimization<\/a>Approximate Nearest Neighbor (ANN)<\/a>Attention-Mechanismus<\/a>Autoregressives Modell<\/a><\/div><\/div>
B<\/div>
Benchmark<\/a>Bi-Encoder<\/a>Bi-Encoder Architecture<\/a>BM25<\/a><\/div><\/div>
C<\/div>
Chain-of-Thought<\/a>Confidence Score<\/a>Content Attribution<\/a>Content Freshness<\/a>Content-Einzigartigkeit<\/a>Content-Tiefe<\/a>Contextual Retrieval<\/a>Crawlability<\/a>Cross-Encoder<\/a>Cross-Encoder Scoring<\/a><\/div><\/div>
D<\/div>
Dense Retrieval<\/a>Domain Authority<\/a><\/div><\/div>
E<\/div>
E-E-A-T<\/a>Embeddings<\/a>Entity Disambiguation<\/a><\/div><\/div>
F<\/div>
Faktische Genauigkeit<\/a>Featured Snippet<\/a>Few-Shot Learning<\/a>Fine-Tuning<\/a><\/div><\/div>
G<\/div>
Generative Engine Optimization (GEO)<\/a>Generative KI<\/a>Grounding<\/a><\/div><\/div>
H<\/div>
Halluzinationen<\/a>Hybrid Retrieval<\/a>Hybrid Search<\/a><\/div><\/div>
I<\/div>
Index Freshness<\/a>Indexierung<\/a>Inferenz<\/a>Information Gain<\/a>Information Retrieval<\/a>Interne Verlinkung<\/a><\/div><\/div>
K<\/div>
Kanonische URL<\/a>Keyword-Dichte<\/a>KI-Content-Erkennung<\/a>KI-Crawler<\/a>KI-Suchmarkt<\/a>Knowledge Cutoff<\/a>Knowledge Graph<\/a>Kontextfenster<\/a>Kontextuelle Relevanz<\/a>Konversationelle Suche<\/a>Kosinus-\u00c4hnlichkeit<\/a><\/div><\/div>
L<\/div>
Large Language Model<\/a>Latenter Raum<\/a>Latenz<\/a>Lesbarkeit<\/a>LLMO (Large Language Model Optimization)<\/a>Long-Tail Keywords<\/a><\/div><\/div>
M<\/div>
Markenerw\u00e4hnung<\/a>Meta-Description<\/a>Model Alignment<\/a>Multi-hop Retrieval<\/a>Multimodale KI<\/a>Multimodale Suche<\/a><\/div><\/div>
N<\/div>
Named Entity Recognition<\/a>Neuronales Netzwerk<\/a><\/div><\/div>
O<\/div>
Open-Source-LLM<\/a><\/div><\/div>
P<\/div>
Passage Retrieval<\/a>Perplexity AI<\/a>Perplexity Pages<\/a>Prompt Engineering<\/a>Prompt Injection<\/a><\/div><\/div>
Q<\/div>
Quellenautorit\u00e4t<\/a>Query Expansion<\/a>Query Understanding<\/a><\/div><\/div>
R<\/div>
Re-ranking<\/a>Reranking<\/a>Retrieval Latency<\/a>Retrieval Pipeline<\/a>Retrieval-Augmented Generation (RAG)<\/a>Retrieval-Genauigkeit<\/a>RLHF<\/a><\/div><\/div>
S<\/div>
Schema-Markup<\/a>Self-Attention<\/a>Semantic Chunking<\/a>Semantische \u00c4hnlichkeit<\/a>Semantische L\u00fccke<\/a>Semantische Suche<\/a>SERP Features<\/a>Snippet-Optimierung<\/a>Sparse Retrieval<\/a>Strukturierte Daten<\/a>Suchintention<\/a>Synthetische Daten<\/a>System Prompt<\/a><\/div><\/div>
T<\/div>
Temperature (LLM)<\/a>TF-IDF<\/a>Token Limit<\/a>Tokenisierung<\/a>Top-P Sampling<\/a>Topic Cluster<\/a>Trainingsdaten<\/a>Transformer-Architektur<\/a><\/div><\/div>
U<\/div>
User-Engagement-Signale<\/a><\/div><\/div>
V<\/div>
Vector Database<\/a><\/div><\/div>
Z<\/div>
Zero-Click Search<\/a>Zero-Shot Learning<\/a>Zitierw\u00fcrdigkeit<\/a><\/div><\/div><\/div><\/div>\n\n