Data Unplugged

{"meta": {"kunde": "Data Unplugged", "monat": "September 2026", "monatKurz": "Sep 26", "berichtszeitraum": "Juli 2025 – September 2026", "erstelltAm": "", "projektstart": "Juli 2025", "quelle": "Google Search Console · Ahrefs", "vormonat": "August"}, "fazit": {"title": "Zusammenfassung", "text": "September 2026: 6.389 Klicks (+29% ggü. Vormonat) bei 333.451 Impressionen (+17%), Ø Position 7,2. Seit Projektstart Juli 2025 sind die Klicks um +924% gestiegen. Die organische Sichtbarkeit ist seither deutlich gewachsen: 137 Keywords in den Top 10 (Start: 10), 1.637 Referring Domains (Start: 104), DR 47 (Start: 34).", "highlights": []}, "global": {"kpis": {"impressionen": {"value": 333451, "prev": 284711, "projektstart": 12693}, "klicks": {"value": 6389, "prev": 4941, "projektstart": 624}, "keywords": {"value": 137, "prev": 141, "projektstart": 10}, "position": {"value": 7.17, "prev": 8.9, "projektstart": 17.54}, "ctr": {"value": 1.92, "prev": 1.74, "projektstart": 4.92}}, "charts": {"labels": ["Jul 25", "Aug 25", "Sep 25", "Okt 25", "Nov 25", "Dez 25", "Jan 26", "Feb 26", "Mär 26", "Apr 26", "Mai 26", "Jun 26", "Jul 26", "Aug 26", "Sep 26"], "clicks": [624, 562, 733, 1398, 1885, 2319, 5719, 9335, 31625, 5618, 5397, 7201, 4856, 4941, 6389], "impr": [12693, 10490, 8578, 8117, 12045, 23795, 69397, 121530, 328014, 378871, 319417, 370700, 268795, 284711, 333451], "keywords": [10, 9, 6, 5, 5, 5, 10, 15, 28, 80, 118, 146, 165, 141, 137], "pos": 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{"meta": {"kunde": "Data Unplugged", "monat": "September 2026", "monatKurz": "Sep 26", "berichtszeitraum": "1.–30. September 2026", "quelle": "Omnia · alle KI-Engines aggregiert"}, "report": {"highlights": [{"value": "#1", "delta": "", "dir": "pos", "label": "Sichtbarkeits-Rang", "pill": "von 733 Marken"}, {"value": "36,7 %", "delta": "", "dir": "pos", "label": "KI-Sichtbarkeit", "pill": "über alle Engines"}, {"value": "566", "delta": "", "dir": "pos", "label": "Eigene Zitierungen", "pill": "aus 58 Seiten"}], "kpis": [{"value": "#1", "sub": "von 733", "dir": "pos", "label": "Sichtbarkeits-Rank"}, {"value": "36,7 %", "sub": "", "dir": "pos", "label": "KI-Sichtbarkeits-Wertung"}, {"value": "5,8 %", "sub": "", "dir": "pos", "label": "Share of voice"}, {"value": "566", "sub": "aus 58 Seiten", "dir": "pos", "label": "Eigene Zitierungen"}], "top5competitors": [["LinkedIn", 3.5, 160], ["TDWI", 3.1, 142], ["data2day", 2.8, 129], ["BIG BANG KI Festival", 2.4, 107], ["GitHub", 2.3, 103]], "top5prompts": [["Wie gut ist data:unplugged im Vergleich zu OMR Festival?", 50.0, 93], ["Welche deutschen Data Science Konferenzen bieten praxisnahe Masterclasses?", 14.5, 124], ["Welche Konferenz eignet sich für Mittelstand Entscheider im Bereich Data?", 11.2, 60], ["Gibt es praxisnahe Data Science Konferenzen für Mittelstand?", 8.7, 50], ["Wie werde ich Speaker auf einer Data und KI Konferenz?", 5.6, 9]], "promptsRows": [["Wie gut ist data:unplugged im Vergleich zu OMR Festival?", 100.0, 50.0, 93], ["Welche deutschen Data Science Konferenzen bieten praxisnahe Masterclasses?", 72.9, 14.5, 124], ["Welche Konferenz eignet sich für Mittelstand Entscheider im Bereich Data?", 57.6, 11.2, 60], ["Gibt es praxisnahe Data Science Konferenzen für Mittelstand?", 52.4, 8.7, 50], ["Wie werde ich Speaker auf einer Data und KI Konferenz?", 18.4, 5.6, 9], ["Ich möchte mich über Künstliche Intelligenz informieren und mit Experten vernetzen. Welche Events empfiehlst du?", 26.7, 4.1, 83], ["Welche Veranstaltungen rund um Künstliche Intelligenz sind besonders empfehlenswert?", 25.2, 3.1, 83], ["Wie finde ich Data Scientists im deutschen Markt effizient?", 1.8, 0.2, 1], ["Welche Recruiting Kanäle funktionieren für ML Engineers in DACH?", 0, 0, 1], ["Welche Employer Branding Maßnahmen helfen Data Teams anzuziehen?", 0, 0, 0]], "zusammenfassung": "Im Erfassungszeitraum 1.–30. September 2026 (über alle KI-Engines aggregiert) belegt Data Unplugged in der KI-Sichtbarkeit Rang 1 von 733 erfassten Marken. Die KI-Sichtbarkeit liegt bei 36,7 %, der Share of Voice bei 5,8 % (264 Erwähnungen). 58 eigene Seiten erzeugen zusammen 566 Zitierungen. Das Wettbewerbsumfeld führen LinkedIn (3,5 % Share of Voice) und TDWI (3,1 %) an. Am sichtbarsten ist Data Unplugged beim Prompt „Wie gut ist data:unplugged im Vergleich zu OMR Festival?“ (100,0 %), gefolgt von „Welche deutschen Data Science Konferenzen bieten praxisnahe Masterclasses?“ (72,9 %). Hinweis zur Messbasis: Seit dem 11. September werden zusätzliche Prompts erfasst. Die Marken-Kennzahlen umfassen alle im September gemessenen Prompts, die Prompt-Tabelle zeigt die 10 vereinbarten Prompts. Ein direkter Vergleich mit August ist daher nur eingeschränkt möglich."}, "competitors": {"rows": [[1, "data:unplugged", 36.7, 5.81, 264, "owned"], [2, "LinkedIn", 22.3, 3.52, 160, "c"], [3, "TDWI", 19.7, 3.13, 142, "c"], [4, "data2day", 17.9, 2.84, 129, "c"], [5, "BIG BANG KI Festival", 14.9, 2.36, 107, "c"], [6, "GitHub", 14.3, 2.27, 103, "c"], [7, "Handelsblatt", 13.5, 2.14, 97, "c"], [8, "XING", 13.1, 2.09, 95, "c"], [9, "Rise of AI", 12.5, 2.0, 91, "c"], [10, "NVIDIA", 10.4, 1.65, 75, "c"], [11, "Kaggle", 9.9, 1.56, 71, "c"], [12, "PyData", 8.9, 1.43, 65, "c"], [13, "Meetup", 8.8, 1.39, 63, "c"], [14, "OMR", 8.5, 1.34, 61, "c"], [15, "ML Conference", 8.3, 1.32, 60, "c"], [16, "Bitkom", 8.2, 1.3, 59, "c"], [17, "StepStone", 8.1, 1.28, 58, "c"], [18, "Stack Overflow", 7.1, 1.12, 51, "c"], [19, "World Summit AI", 6.5, 1.06, 48, "c"], [20, "BARC", 6.5, 1.04, 47, "c"], [21, "Mittelstand-Digital", 5.4, 0.88, 40, "c"], [22, "MLcon", 5.4, 0.86, 39, "c"], [23, "Indeed", 4.2, 0.66, 30, "c"], [24, "WirtschaftsWoche", 4.2, 0.66, 30, "c"], [25, "Fraunhofer", 3.8, 0.64, 29, "c"], [26, "KI Bundesverband", 3.9, 0.64, 29, "c"], [27, "RETHINK.MITTELSTAND", 4.0, 0.64, 29, "c"], [28, "Data Natives", 3.9, 0.62, 28, "c"], [29, "PyCon DE", 3.9, 0.62, 28, "c"], [30, "AIDAQ", 3.8, 0.59, 27, "c"], [31, "AI Summit", 3.5, 0.59, 27, "c"], [32, "F.A.Z.", 3.8, 0.59, 27, "c"], [33, "IHK München", 3.8, 0.59, 27, "c"], [34, "KI.NRW", 3.5, 0.55, 25, "c"], [35, "Honeypot", 3.3, 0.53, 24, "c"], [36, "Big Data & AI World", 3.2, 0.51, 23, "c"], [37, "DATA festival", 3.1, 0.48, 22, "c"], [38, "WeAreDevelopers", 3.1, 0.48, 22, "c"], [39, "AI Week Frankfurt", 2.9, 0.46, 21, "c"], [40, "Hugging Face", 2.9, 0.46, 21, "c"], [41, "Machine Learning Week Europe", 2.8, 0.46, 21, "c"], [42, "German Data Science Days", 2.8, 0.44, 20, "c"], [43, "Amazon Web Services", 2.6, 0.42, 19, "c"], [44, "GetIn-IT", 2.6, 0.42, 19, "c"], [45, "KI Navigator", 2.6, 0.42, 19, "c"], [46, "World AI Cannes Festival", 2.6, 0.42, 19, "c"], [47, "GITEX", 2.5, 0.4, 18, "c"], [48, "World of Data", 2.5, 0.4, 18, "c"], [49, "PALTRON", 2.4, 0.37, 17, "c"], [50, "Slack", 2.4, 0.37, 17, "c"], [51, "Tech Show Frankfurt", 2.4, 0.37, 17, "c"], [52, "AI:CAN", 2.2, 0.35, 16, "c"], [53, "Discord", 2.2, 0.35, 16, "c"], [54, "GermanTechJobs", 2.1, 0.35, 16, "c"], [55, "GitLab", 2.2, 0.35, 16, "c"], [56, "KI-Allianz Baden-Württemberg", 2.2, 0.35, 16, "c"], [57, "PyTorch", 2.2, 0.35, 16, "c"], [58, "Civic Coding", 2.1, 0.33, 15, "c"], [59, "Google", 2.1, 0.33, 15, "c"], [60, "IHK", 2.1, 0.33, 15, "c"], [61, "KI2026", 2.1, 0.33, 15, "c"], [62, "ai.berlin", 1.9, 0.31, 14, "c"], [63, "CODARI", 1.9, 0.31, 14, "c"], [64, "Helmholtz AI", 1.9, 0.31, 14, "c"], [65, "AICon", 1.8, 0.29, 13, "c"], [66, "alphacoders", 1.8, 0.29, 13, "c"], [67, "Datacareer", 1.8, 0.29, 13, "c"], [68, "Digital X", 1.8, 0.29, 13, "c"], [69, "Radar", 1.8, 0.29, 13, "c"], [70, "AICon Industry", 1.7, 0.26, 12, "c"], [71, "AI Engineering Summit", 1.7, 0.26, 12, "c"], [72, "BIG BANG KI", 1.7, 0.26, 12, "c"], [73, "CAMPIXX", 1.7, 0.26, 12, "c"], [74, "Databricks", 1.5, 0.26, 12, "c"], [75, "Gartner", 1.7, 0.26, 12, "c"], [76, "Heise", 1.7, 0.26, 12, "c"], [77, "KI Day", 1.7, 0.26, 12, "c"], [78, "NeurIPS", 1.7, 0.26, 12, "c"], [79, "RAISE Summit", 1.7, 0.26, 12, "c"], [80, "Reddit", 1.7, 0.26, 12, "c"], [81, "Rise of AI Conference", 1.7, 0.26, 12, "c"], [82, "Talent.io", 1.7, 0.26, 12, "c"], [83, "Bits & Pretzels", 1.5, 0.24, 11, "c"], [84, "Gesellschaft für Informatik", 1.5, 0.24, 11, "c"], [85, "KI-Verband", 1.5, 0.24, 11, "c"], [86, "Hasso‑Plattner‑Institut", 1.4, 0.22, 10, "c"], [87, "ICML", 1.4, 0.22, 10, "c"], [88, "IJCAI", 1.4, 0.22, 10, "c"], [89, "Karlsruhe Institute of Technology", 1.4, 0.22, 10, "c"], [90, "KI Festival Heilbronn", 1.4, 0.22, 10, "c"], [91, "Machine Learning Week", 1.4, 0.22, 10, "c"], [92, "Medium", 1.4, 0.22, 10, "c"], [93, "Microsoft Azure", 1.4, 0.22, 10, "c"], [94, "RWTH Aachen", 1.4, 0.22, 10, "c"], [95, "Technische Universität München", 1.4, 0.22, 10, "c"], [96, "AI Catalyst Summit", 1.3, 0.2, 9, "c"], [97, "AI Week", 1.3, 0.2, 9, "c"], [98, "appliedAI", 1.3, 0.2, 9, "c"], [99, "b.telligent", 1.3, 0.2, 9, "c"], [100, "F.A.Z. 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