{"id":21609,"date":"2026-07-31T10:23:32","date_gmt":"2026-07-31T08:23:32","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=21609\/"},"modified":"2026-07-31T10:23:32","modified_gmt":"2026-07-31T08:23:32","slug":"analytics-news-jul-2026","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-jul-2026\/","title":{"rendered":"O evol\u00facii AI vyh\u013ead\u00e1vania a \u010fal\u0161\u00edch novink\u00e1ch v analytike"},"content":{"rendered":"

Mal\u00fd, ale \u0161ikovn\u00fd filter v GTMku<\/h2>\n

Ak pracujete s rozsiahlej\u0161\u00edmi GTM kontajnermi, mo\u017eno ocen\u00edte nov\u00fd filter tagov pod\u013ea typu zna\u010diek. \u0160ikovnej\u0161\u00ed analytici to doteraz rie\u0161ili striktn\u00fdmi pravidlami pre pomenov\u00e1vanie zna\u010diek v Google Tag Manageri<\/a>, no povedzme si pravdu – dobre vyrie\u0161en\u00fd naming m\u00e1 len minimum kontajnerov. V t\u00fdchto pr\u00edpadoch m\u00f4\u017ee filter ve\u013emi dobre posl\u00fa\u017ei\u0165.<\/p>\n

\"\"<\/p>\n

Tento filter je len jednou z noviniek v r\u00e1mci letn\u00e9ho refreshu, ktor\u00fd v\u00fdvoj\u00e1ri v Googli pripravili pre interface Google Tag Managera. Ak ste vo svojom GTMku u\u017e dlh\u0161ie neboli, odpor\u00fa\u010dame sa tam \u00eds\u0165 pozrie\u0165. Budete milo prekvapen\u00ed.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Matomo prin\u00e1\u0161a monitorovanie aktiv\u00edt AI chatbotov na webe v re\u00e1lnom \u010dase<\/h2>\n

Matomo je oproti Google Analytics 4<\/a> naozaj mal\u00fd hr\u00e1\u010d s minim\u00e1lnym trhov\u00fdm podielom, no ich j\u00falov\u00fd release stoj\u00ed za pozornos\u0165. Matomo toti\u017e priniesol nieko\u013eko reportov, ktor\u00e9 monitoruj\u00fa aktivity AI chatbotov na va\u0161om webe. Viete si odsledova\u0165, ktor\u00e9 str\u00e1nky a dokumenty AI nav\u0161tevuje naj\u010dastej\u0161ie, alebo si m\u00f4\u017eete porovna\u0165 obsah preferovan\u00fd \u013eu\u010fmi a AI botmi pomocou nov\u00e9ho ukazovate\u013ea Discrepancy Score.<\/p>\n

\"\"<\/p>\n

Zauj\u00edmavou novinkou je aj AI Chatbots Real-time report, kde okrem samotnej n\u00e1v\u0161tevy botov m\u00f4\u017eete sledova\u0165 aj HTTP chyby, ktor\u00e9 m\u00f4\u017eu br\u00e1ni\u0165 chatbotom v pr\u00edstupe k v\u00e1\u0161mu obsahu. Ide o \u010fal\u0161\u00ed krok smerom k optimaliz\u00e1cii webov nielen pre pou\u017e\u00edvate\u013eov a vyh\u013ead\u00e1va\u010de, ale aj pre generat\u00edvnu AI, ktor\u00e1 sa st\u00e1va \u010doraz v\u00fdznamnej\u0161\u00edm zdrojom n\u00e1v\u0161tevnosti.<\/p>\n

\"\"<\/p>\n

Viac na: Matomo changelog<\/a><\/p>\n

Similarweb: Evol\u00facia AI vyh\u013ead\u00e1vania<\/h2>\n

Po roku priniesla spolo\u010dnos\u0165 Similarweb nov\u00fa \u0161t\u00fadiu o AI vyh\u013ead\u00e1van\u00ed, pod\u013ea ktorej sa generat\u00edvna AI definit\u00edvne st\u00e1va novou vrstvou internetu a z\u00e1sadne men\u00ed sp\u00f4sob, ak\u00fdm \u013eudia vyh\u013ead\u00e1vaj\u00fa inform\u00e1cie. Dopyty vo vyh\u013ead\u00e1va\u010doch s\u00fa dlh\u0161ie, AI Overviews sa aktivuje u\u017e pri vy\u0161e 40 % vyh\u013ead\u00e1van\u00ed a n\u00e1v\u0161tevnos\u0165 z AI n\u00e1strojov rastie v\u00fdrazne r\u00fdchlej\u0161ie ako pri tradi\u010dnom vyh\u013ead\u00e1van\u00ed.<\/p>\n

\"\"<\/p>\n

Rast\u00faci v\u00fdznam AI men\u00ed aj sp\u00f4sob, ak\u00fdm by firmy mali pristupova\u0165 k tvorbe obsahu. Zatia\u013e \u010do doteraz musel by\u0165 web „pr\u00edvetiv\u00fd“ pre n\u00e1v\u0161tevn\u00edkov a vyh\u013ead\u00e1va\u010de, teraz vstupuje do rovnice tretia premenn\u00e1 \u2013 AI. Popri SEO sa \u010doraz \u010dastej\u0161ie udom\u00e1c\u0148uje nov\u00fd pojem GEO (Generative Engine Optimization), ktor\u00fd ozna\u010duje optimaliz\u00e1ciu obsahu s cie\u013eom zv\u00fd\u0161i\u0165 \u0161ancu, \u017ee ho AI chatboty vyu\u017eij\u00fa vo svojich odpovediach.<\/p>\n

Ak v\u00e1s trendy vo vyh\u013ead\u00e1van\u00ed zauj\u00edmaj\u00fa, ur\u010dite si prelistujte spom\u00ednan\u00fa \u0161t\u00fadiu s n\u00e1zvom 2026 Generative AI Landscape: The Evolution of AI Search<\/a> od Similarweb. Bud\u00facnos\u0165 je tu a je dobr\u00e9 by\u0165 medzi pripraven\u00fdmi.<\/p>\n

Viac na: Similarweb<\/a><\/p>\n

DATABASED: o kreat\u00edve, ktor\u00e1 pred\u00e1va s Marekom Majer\u010d\u00edkom<\/h2>\n

V najnov\u0161ej epiz\u00f3de n\u00e1\u0161ho podcastu DATABASED sme sa spolu s Marekom Majer\u010d\u00edkom z Fladingo porozpr\u00e1vali o tom, pre\u010do niektor\u00e9 reklamy pred\u00e1vaj\u00fa a in\u00e9 nie. Marek n\u00e1m pribl\u00ed\u017eil proces tvorby \u00faspe\u0161n\u00fdch kreat\u00edvm, pre\u0161li sme si, \u010do rozhoduje o ich v\u00fdkone a pre\u010do samotn\u00fd pekn\u00fd dizajn nesta\u010d\u00ed. Dotkneme sa aj testovania rekl\u00e1m, \u0161k\u00e1lovania kampan\u00ed do zahrani\u010dia, d\u00e1t, performance marketingu a re\u00e1lnych pr\u00edkladov z praxe.<\/p>\n

Koho by ste najrad\u0161ej po\u010duli v niektorej z \u010fal\u0161\u00edch epiz\u00f3d n\u00e1\u0161ho podcastu? Nap\u00ed\u0161te n\u00e1m do koment\u00e1rov! \ud83d\ude42<\/p>\n

Viac na:\u00a0Spotify DATABASED<\/a><\/p>\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

Mal\u00fd, ale \u0161ikovn\u00fd filter v GTMku Ak pracujete s rozsiahlej\u0161\u00edmi GTM kontajnermi, mo\u017eno ocen\u00edte nov\u00fd filter tagov pod\u013ea…<\/p>\n","protected":false},"author":70,"featured_media":21247,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[993,602,663,957],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21609"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=21609"}],"version-history":[{"count":8,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21609\/revisions"}],"predecessor-version":[{"id":21622,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21609\/revisions\/21622"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/21247"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=21609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=21609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=21609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}