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  1. Declarative all the way down: Building PRONOM signatures with JSONID

    by @beet_keeper

    PRONOM signatures are a form of declarative language, you describe the anticipated behavior in PRONOM’s regular expression syntax and tools like DROID, FIDO, and Siegfried will interpret those instructions and attempt to match them against different files to return a file format identification.

    Normally, you will write PRONOM signatures by hand but doing so for file formats based on other file format building blocks can lead to inconsistencies. Bertrand Caron previously also recognized this in the XML formats that are described with PRONOM signatures on Wikidata.

    XML can use single quotes ' (hex: 0x27) and double quotes " (hex: 0x22) for attribute data, and so, do we make a PRONOM signature with multiple sequences anticipating the use of either?

    The answer is more often than not likely to be yes, because the appearance of these values are often helpful for identifying boundaries for strings that we know must exist.

    But the more file formats that we need to add to PRONOM that are based on foundational formats like XML, or JSON, or similar, the more inconsistencies will creep in, such as sequences that are looking specifically for one byte sequence over another.

    The issue extends further if file formats allow data to appear at the beginning of file, or we need to account for a variable amount of white-space, or we want to start thinking about multi-byte character encoding.

    We can, and in the XML issue described by myself and Caron, I think the recommendation is very much to create editorial standards for signatures for file formats based on other baseline, structured data formats like XML, JSON, YAML, and so on.

    And standards are well and good, but what if tooling could help us?

    For JSON this is exactly what I have tried to do in JSONID.

    What does this feature look like? And what does it get us? Let’s take a look.

    Continue reading “Declarative all the way down: Building PRONOM signatures with JSONID”


    #declarativeProgramming #digipres #DigitalPreservation #DROID #FIDO #FileFormatIdentification #FileFormats #JSON #jsonid #JSONL #NTTW #NTTW9 #PRONOM #RDM #ResearchData #siegfried #StructuredData #structuredText #TOML #YAML
  2. Declarative all the way down: Building PRONOM signatures with JSONID

    by @beet_keeper

    PRONOM signatures are a form of declarative language, you describe the anticipated behavior in PRONOM’s regular expression syntax and tools like DROID, FIDO, and Siegfried will interpret those instructions and attempt to match them against different files to return a file format identification.

    Normally, you will write PRONOM signatures by hand but doing so for file formats based on other file format building blocks can lead to inconsistencies. Bertrand Caron previously also recognized this in the XML formats that are described with PRONOM signatures on Wikidata.

    XML can use single quotes ‘ (hex: 0x27) and double quotes ” (hex: 0x22) for attribute data, and so, do we make a PRONOM signature with multiple sequences anticipating the use of either?

    The answer is more often than not likely to be yes, because the appearance of these values are often helpful for identifying boundaries for strings that we know must exist.

    But the more file formats that we need to add to PRONOM that are based on foundational formats like XML, or JSON, or similar, the more inconsistencies will creep in, such as sequences that are looking specifically for one byte sequence over another.

    The issue extends further if file formats allow data to appear at the beginning of file, or we need to account for a variable amount of white-space, or we want to start thinking about multi-byte character encoding.

    We can, and in the XML issue described by myself and Caron, I think the recommendation is very much to create editorial standards for signatures for file formats based on other baseline, structured data formats like XML, JSON, YAML, and so on.

    And standards are well and good, but what if tooling could help us?

    For JSON this is exactly what I have tried to do in JSONID.

    What does this feature look like? And what does it get us? Let’s take a look.


    #declarativeProgramming #digipres #DigitalPreservation #DROID #FIDO #FileFormatIdentification #FileFormats #JSON #jsonid #JSONL #NTTW #NTTW9 #PRONOM #RDM #ResearchData #siegfried #StructuredData #structuredText #TOML #YAML
  3. Declarative all the way down: Building PRONOM signatures with JSONID

    by @beet_keeper

    PRONOM signatures are a form of declarative language, you describe the anticipated behavior in PRONOM’s regular expression syntax and tools like DROID, FIDO, and Siegfried will interpret those instructions and attempt to match them against different files to return a file format identification.

    Normally, you will write PRONOM signatures by hand but doing so for file formats based on other file format building blocks can lead to inconsistencies. Bertrand Caron previously also recognized this in the XML formats that are described with PRONOM signatures on Wikidata.

    XML can use single quotes ‘ (hex: 0x27) and double quotes ” (hex: 0x22) for attribute data, and so, do we make a PRONOM signature with multiple sequences anticipating the use of either?

    The answer is more often than not likely to be yes, because the appearance of these values are often helpful for identifying boundaries for strings that we know must exist.

    But the more file formats that we need to add to PRONOM that are based on foundational formats like XML, or JSON, or similar, the more inconsistencies will creep in, such as sequences that are looking specifically for one byte sequence over another.

    The issue extends further if file formats allow data to appear at the beginning of file, or we need to account for a variable amount of white-space, or we want to start thinking about multi-byte character encoding.

    We can, and in the XML issue described by myself and Caron, I think the recommendation is very much to create editorial standards for signatures for file formats based on other baseline, structured data formats like XML, JSON, YAML, and so on.

    And standards are well and good, but what if tooling could help us?

    For JSON this is exactly what I have tried to do in JSONID.

    What does this feature look like? And what does it get us? Let’s take a look.


    #declarativeProgramming #digipres #DigitalPreservation #DROID #FIDO #FileFormatIdentification #FileFormats #JSON #jsonid #JSONL #NTTW #NTTW9 #PRONOM #RDM #ResearchData #siegfried #StructuredData #structuredText #TOML #YAML
  4. Declarative all the way down: Building PRONOM signatures with JSONID

    by @beet_keeper

    PRONOM signatures are a form of declarative language, you describe the anticipated behavior in PRONOM’s regular expression syntax and tools like DROID, FIDO, and Siegfried will interpret those instructions and attempt to match them against different files to return a file format identification.

    Normally, you will write PRONOM signatures by hand but doing so for file formats based on other file format building blocks can lead to inconsistencies. Bertrand Caron previously also recognized this in the XML formats that are described with PRONOM signatures on Wikidata.

    XML can use single quotes ‘ (hex: 0x27) and double quotes ” (hex: 0x22) for attribute data, and so, do we make a PRONOM signature with multiple sequences anticipating the use of either?

    The answer is more often than not likely to be yes, because the appearance of these values are often helpful for identifying boundaries for strings that we know must exist.

    But the more file formats that we need to add to PRONOM that are based on foundational formats like XML, or JSON, or similar, the more inconsistencies will creep in, such as sequences that are looking specifically for one byte sequence over another.

    The issue extends further if file formats allow data to appear at the beginning of file, or we need to account for a variable amount of white-space, or we want to start thinking about multi-byte character encoding.

    We can, and in the XML issue described by myself and Caron, I think the recommendation is very much to create editorial standards for signatures for file formats based on other baseline, structured data formats like XML, JSON, YAML, and so on.

    And standards are well and good, but what if tooling could help us?

    For JSON this is exactly what I have tried to do in JSONID.

    What does this feature look like? And what does it get us? Let’s take a look.


    #declarativeProgramming #digipres #DigitalPreservation #DROID #FIDO #FileFormatIdentification #FileFormats #JSON #jsonid #JSONL #NTTW #NTTW9 #PRONOM #RDM #ResearchData #siegfried #StructuredData #structuredText #TOML #YAML
  5. Declarative all the way down: Building PRONOM signatures with JSONID

    by @beet_keeper

    PRONOM signatures are a form of declarative language, you describe the anticipated behavior in PRONOM’s regular expression syntax and tools like DROID, FIDO, and Siegfried will interpret those instructions and attempt to match them against different files to return a file format identification.

    Normally, you will write PRONOM signatures by hand but doing so for file formats based on other file format building blocks can lead to inconsistencies. Bertrand Caron previously also recognized this in the XML formats that are described with PRONOM signatures on Wikidata.

    XML can use single quotes ‘ (hex: 0x27) and double quotes ” (hex: 0x22) for attribute data, and so, do we make a PRONOM signature with multiple sequences anticipating the use of either?

    The answer is more often than not likely to be yes, because the appearance of these values are often helpful for identifying boundaries for strings that we know must exist.

    But the more file formats that we need to add to PRONOM that are based on foundational formats like XML, or JSON, or similar, the more inconsistencies will creep in, such as sequences that are looking specifically for one byte sequence over another.

    The issue extends further if file formats allow data to appear at the beginning of file, or we need to account for a variable amount of white-space, or we want to start thinking about multi-byte character encoding.

    We can, and in the XML issue described by myself and Caron, I think the recommendation is very much to create editorial standards for signatures for file formats based on other baseline, structured data formats like XML, JSON, YAML, and so on.

    And standards are well and good, but what if tooling could help us?

    For JSON this is exactly what I have tried to do in JSONID.

    What does this feature look like? And what does it get us? Let’s take a look.


    #declarativeProgramming #digipres #DigitalPreservation #DROID #FIDO #FileFormatIdentification #FileFormats #JSON #jsonid #JSONL #NTTW #NTTW9 #PRONOM #RDM #ResearchData #siegfried #StructuredData #structuredText #TOML #YAML
  6. “AI’s Biggest Challenge Is Not Technology”, Says Varun Thamba Of SAP

    As enterprises move beyond experimentation and begin integrating artificial intelligence into core business operations, the conversation is shifting…
    #Germany #DE #Europe #EU #Europa #SAP #agenticai #AIgovernance #EnterpriseAI #EnterpriseData #generativeAI #LargeLanguageModels(LLMs) #Reli #responsibleAI #RPT1.5 #sap #SAPAPAC #structureddata #TabularAI #VarunThamba
    europesays.com/germany/39426/

  7. Von SEO zu AEO, der Kassensturz: was eine maschinenlesbare Identität wirklich bringt

    Ein gutes halbes Jahr nach meinem Beitrag von SEO zu AEO der ehrliche Kassensturz: was sich gehalten hat, was naiv war und was eine maschinenlesbare, verifizierbare Identität wirklich bringt. Dazu Zahlen zu Zero-Click und KI-Antworten, jeweils mit Quelle und Grenze, und warum llms.txt kein Wundermittel ist.

    kernel-error.de/2026/06/12/von

  8. Von SEO zu AEO, der Kassensturz: was eine maschinenlesbare Identität wirklich bringt

    Ein gutes halbes Jahr nach meinem Beitrag von SEO zu AEO der ehrliche Kassensturz: was sich gehalten hat, was naiv war und was eine maschinenlesbare, verifizierbare Identität wirklich bringt. Dazu Zahlen zu Zero-Click und KI-Antworten, jeweils mit Quelle und Grenze, und warum llms.txt kein Wundermittel ist.

    kernel-error.de/2026/06/12/von

  9. Von SEO zu AEO, der Kassensturz: was eine maschinenlesbare Identität wirklich bringt

    Ein gutes halbes Jahr nach meinem Beitrag von SEO zu AEO der ehrliche Kassensturz: was sich gehalten hat, was naiv war und was eine maschinenlesbare, verifizierbare Identität wirklich bringt. Dazu Zahlen zu Zero-Click und KI-Antworten, jeweils mit Quelle und Grenze, und warum llms.txt kein Wundermittel ist.

    kernel-error.de/2026/06/12/von

  10. Von SEO zu AEO, der Kassensturz: was eine maschinenlesbare Identität wirklich bringt

    Ein gutes halbes Jahr nach meinem Beitrag von SEO zu AEO der ehrliche Kassensturz: was sich gehalten hat, was naiv war und was eine maschinenlesbare, verifizierbare Identität wirklich bringt. Dazu Zahlen zu Zero-Click und KI-Antworten, jeweils mit Quelle und Grenze, und warum llms.txt kein Wundermittel ist.

    kernel-error.de/2026/06/12/von

  11. Von SEO zu AEO, der Kassensturz: was eine maschinenlesbare Identität wirklich bringt

    Ein gutes halbes Jahr nach meinem Beitrag von SEO zu AEO der ehrliche Kassensturz: was sich gehalten hat, was naiv war und was eine maschinenlesbare, verifizierbare Identität wirklich bringt. Dazu Zahlen zu Zero-Click und KI-Antworten, jeweils mit Quelle und Grenze, und warum llms.txt kein Wundermittel ist.

    kernel-error.de/2026/06/12/von

  12. Here it is: Eleventy Baseline v0.1.0-next.42 is on npm.

    Mostly an SEO release. Not necessarily the answer to Life, the Universe and Everything.

    <baseline-head> now emits a full structured-data graph plus Open Graph, Twitter and canonical, on its own, no per-site wiring. The graph is an adapter on Joost de Valk's seo-graph-core (of Yoast fame).

    Release notes: eleventy-baseline.dev/release-

    #StructuredData #OpenSource #BuildInPublic
    #11ty #eleventy-baseline #apleasantview

  13. Here it is: Eleventy Baseline v0.1.0-next.42 is on npm.

    Mostly an SEO release. Not necessarily the answer to Life, the Universe and Everything.

    <baseline-head> now emits a full structured-data graph plus Open Graph, Twitter and canonical, on its own, no per-site wiring. The graph is an adapter on Joost de Valk's seo-graph-core (of Yoast fame).

    Release notes: eleventy-baseline.dev/release-

    #StructuredData #OpenSource #BuildInPublic
    #11ty #eleventy-baseline #apleasantview

  14. Here it is: Eleventy Baseline v0.1.0-next.42 is on npm.

    Mostly an SEO release. Not necessarily the answer to Life, the Universe and Everything.

    <baseline-head> now emits a full structured-data graph plus Open Graph, Twitter and canonical, on its own, no per-site wiring. The graph is an adapter on Joost de Valk's seo-graph-core (of Yoast fame).

    Release notes: eleventy-baseline.dev/release-

    #StructuredData #OpenSource #BuildInPublic
    #11ty #eleventy-baseline #apleasantview

  15. Here it is: Eleventy Baseline v0.1.0-next.42 is on npm.

    Mostly an SEO release. Not necessarily the answer to Life, the Universe and Everything.

    <baseline-head> now emits a full structured-data graph plus Open Graph, Twitter and canonical, on its own, no per-site wiring. The graph is an adapter on Joost de Valk's seo-graph-core (of Yoast fame).

    Release notes: eleventy-baseline.dev/release-

    #StructuredData #OpenSource #BuildInPublic
    #11ty #eleventy-baseline #apleasantview

  16. FYI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAnalysis #WebDevelopment

  17. FYI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAnalysis #WebDevelopment

  18. FYI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAnalysis #WebDevelopment

  19. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten verschiedener strukturierter Datenmarkierungen im Internet an.

    mehr auf Arint.info

    #DataAnalytics #Google #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  20. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten verschiedener strukturierter Datenmarkierungen im Internet an.

    mehr auf Arint.info

    #DataAnalytics #Google #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  21. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten verschiedener strukturierter Datenmarkierungen im Internet an.

    mehr auf Arint.info

    #DataAnalytics #Google #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  22. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten verschiedener strukturierter Datenmarkierungen im Internet an.

    mehr auf Arint.info

    #DataAnalytics #Google #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  23. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten verschiedener strukturierter Datenmarkierungen im Internet an.

    mehr auf Arint.info

    #DataAnalytics #Google #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  24. ICYMI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAdoption #WebDevelopment

  25. ICYMI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAdoption #WebDevelopment

  26. ICYMI: Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #Google #SchemaOrg #StructuredData #DataAdoption #WebDevelopment

  27. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten der verschiedenen strukturierten Datenmarkierungen im Internet an. Diese Daten, die monatlich aktualisiert werden, sind für Analyse oder Download (im CSV- oder JSON-Format) über das offizielle GitHub von Schema verfügbar: github.com/schemaorg/schemaorg. Sie bieten eine Möglichkeit, die Adoption strukturierten Daten über die Zeit hinweg zu verfolgen und bei Unsicherheit zwischen ähnlichen Optionen diejenige mit höherer Implementierungsrate zu wählen. Das offizielle Statement von Schema finden Sie unter: blog.schema.org/2026/06/04/ann sowie weitere Informationen unter: schema.org/docs/usagestats.html

    mehr auf Arint.info

    #DataAnalytics #GoogleAnnouncements #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  28. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten der verschiedenen strukturierten Datenmarkierungen im Internet an. Diese Daten, die monatlich aktualisiert werden, sind für Analyse oder Download (im CSV- oder JSON-Format) über das offizielle GitHub von Schema verfügbar: github.com/schemaorg/schemaorg. Sie bieten eine Möglichkeit, die Adoption strukturierten Daten über die Zeit hinweg zu verfolgen und bei Unsicherheit zwischen ähnlichen Optionen diejenige mit höherer Implementierungsrate zu wählen. Das offizielle Statement von Schema finden Sie unter: blog.schema.org/2026/06/04/ann sowie weitere Informationen unter: schema.org/docs/usagestats.html

    mehr auf Arint.info

    #DataAnalytics #GoogleAnnouncements #Schemaorg #SEO #StructuredData #WebDevelopment #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  29. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten der verschiedenen strukturierten Datenmarkierungen im Internet an. Diese Daten, die monatlich aktualisiert werden, sind für Analyse oder Download (im .csv- oder .json-Format) über das offizielle GitHub von Schema verfügbar: github.com/schemaorg/schemaorg. Sie bieten eine Möglichkeit, die Adoption strukturierte Daten im Laufe der Zeit zu verfolgen und bei Unsicherheit zwischen ähnlichen Optionen diejenige mit höherer Implementierungsrate zu wählen. Das offizielle Schema-Kommuniqué finden Sie unter: blog.schema.org/2026/06/04/ann sowie weitere Informationen unter: schema.org/docs/usagestats.html

    mehr auf Arint.info

    #DataAnalytics #GoogleAnnouncement #Schemaorg #SEO #StructuredData #WebSemantics #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  30. RT @carlos_darko: Google kündigt in Zusammenarbeit mit der Schema.org-Community ein neues Repository mit Nutzungsdaten der verschiedenen strukturierten Datenmarkierungen im Internet an. Diese Daten, die monatlich aktualisiert werden, sind für Analyse oder Download (im .csv- oder .json-Format) über das offizielle GitHub von Schema verfügbar: github.com/schemaorg/schemaorg. Sie bieten eine Möglichkeit, die Adoption strukturierte Daten im Laufe der Zeit zu verfolgen und bei Unsicherheit zwischen ähnlichen Optionen diejenige mit höherer Implementierungsrate zu wählen. Das offizielle Schema-Kommuniqué finden Sie unter: blog.schema.org/2026/06/04/ann sowie weitere Informationen unter: schema.org/docs/usagestats.html

    mehr auf Arint.info

    #DataAnalytics #GoogleAnnouncement #Schemaorg #SEO #StructuredData #WebSemantics #arint_info

    https://x.com/carlos_darko/status/2062930091038957889#m

  31. Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #StructuredData #SchemaOrg #Google #SEO #WebDevelopment

  32. Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #StructuredData #SchemaOrg #Google #SEO #WebDevelopment

  33. Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #StructuredData #SchemaOrg #Google #SEO #WebDevelopment

  34. Google and Schema.org finally show how the web uses structured data: Google and Schema.org release the first public dataset on structured data term adoption, covering millions of domains in CSV and JSON formats, updated monthly. ppc.land/google-and-schema-org #StructuredData #SchemaOrg #Google #SEO #WebDevelopment

  35. SAP AI Data Push With Dremio And Prior Labs Raises Valuation Question

    Make better investment decisions with Simply Wall St’s easy, visual tools that give you a competitive edge. SAP…
    #Germany #DE #Europe #EU #Europa #SAP #businessapplications #DataInfrastructure #datalakehouse #Dremio #priorlabs #sap #structureddata
    europesays.com/germany/25859/

  36. 1,885 pages had schema markup added and their AI citation rates tracked. The result? Almost no movement.

    Cited pages are more likely to have JSON-LD - but that reflects technical discipline, not a lever you can pull. Authority, content clarity, and domain trust are doing the work.

    #GEO #AISearch #StructuredData

    digiconomy.online/insights/sch

  37. Schema Markup ist die einzige Sprache, die Suchmaschinen ohne Interpretation verstehen. 🗣️Kein Raten, kein NLP, kein Kontext-Ableiten – du sagst Google direkt: Das ist ein Produkt, das kostet 29 €, es hat 4,7 Sterne. Wer kein strukturiertes Markup nutzt, überlässt die Kommunikation dem Zufall. Und Zufall ist keine SEO-Strategie.

    #StructuredData #TechSEO #SchemaMarkup #ECommerce

  38. Schema Markup ist die einzige Sprache, die Suchmaschinen ohne Interpretation verstehen. 🗣️Kein Raten, kein NLP, kein Kontext-Ableiten – du sagst Google direkt: Das ist ein Produkt, das kostet 29 €, es hat 4,7 Sterne. Wer kein strukturiertes Markup nutzt, überlässt die Kommunikation dem Zufall. Und Zufall ist keine SEO-Strategie.

    #StructuredData #TechSEO #SchemaMarkup #ECommerce

  39. Schema Markup ist die einzige Sprache, die Suchmaschinen ohne Interpretation verstehen. 🗣️Kein Raten, kein NLP, kein Kontext-Ableiten – du sagst Google direkt: Das ist ein Produkt, das kostet 29 €, es hat 4,7 Sterne. Wer kein strukturiertes Markup nutzt, überlässt die Kommunikation dem Zufall. Und Zufall ist keine SEO-Strategie.

    #StructuredData #TechSEO #SchemaMarkup #ECommerce

  40. Schema Markup ist die einzige Sprache, die Suchmaschinen ohne Interpretation verstehen. 🗣️Kein Raten, kein NLP, kein Kontext-Ableiten – du sagst Google direkt: Das ist ein Produkt, das kostet 29 €, es hat 4,7 Sterne. Wer kein strukturiertes Markup nutzt, überlässt die Kommunikation dem Zufall. Und Zufall ist keine SEO-Strategie.

    #StructuredData #TechSEO #SchemaMarkup #ECommerce

  41. Schema Markup ist die einzige Sprache, die Suchmaschinen ohne Interpretation verstehen. 🗣️Kein Raten, kein NLP, kein Kontext-Ableiten – du sagst Google direkt: Das ist ein Produkt, das kostet 29 €, es hat 4,7 Sterne. Wer kein strukturiertes Markup nutzt, überlässt die Kommunikation dem Zufall. Und Zufall ist keine SEO-Strategie.

    #StructuredData #TechSEO #SchemaMarkup #ECommerce

  42. Extra zesty post by Drew Tendero

    Local search engine optimization: how to get found by nearby customers

    Learn what local SEO is, why it matters, and how to optimize your business for local search. From Google Business Profile to reviews, schema markup, and local content strategies.

    #SEO #SEOStrategies #SearchEngineOptimization #ContentStrategy #Google #StructuredData #SchemaMarkup

    freshjuice.dev/blog/local-sear

    #FreshJuice