Key to SEO Success: Keyword Density vs Natural Language Processing
CET: Berlin, Madrid, Paris, Rome
-11 : Midway Island, Samoa
-10 : Hawaii
-09 : Aleutian Islands
-08 : Alaska
-07 : Pacific Time - US & Canada
-06 : Mountain Time - US & Canada
-05 : Central Time - US & Canada, Mexico City
-04 : Eastern Time - US & Canada, New York
-04 : Atlantic Time - Canada, Caracas, La Paz
-03 : Brazil, Buenos Aires, Georgetown
-02 : Mid-Atlantic
-01 : Cape Verde Islands
+00 : GMT, Azores
+01 : London
+02 : Berlin, Madrid, Paris, Rome
+02 : Egypt, South Africa
+03 : Tel Aviv, Baghdad, Riyadh
+04 : Abu Dhabi, Muscat, Baku, Tbilisi
+05 : Tashkent, Islamabad, Karachi
+06 : Almaty, Dhaka, Colombo
+07 : Bangkok, Hanoi, Jakarta
+08 : Beijing, Perth, Singapore, Hong Kong
+09 : Tokyo, Seoul, Osaka, Sapporo, Yakutsk
+10 : Guam, Vladivostok
+10 : Sydney
+11 : Magadan, New Caledonia
+12 : Eniwetok, Kwajalein
+12 : Auckland, Wellington, Fiji, Kamchatka
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Every digital business wants its content to rank high in search. To achieve this goal, we rely on different content creation approaches. Some are considered to be more reliable by the SEO community while others are coming into the foreground.
We want to explore two approaches: keyword density and Natural Language Processing (NLP). The first one involves using exact-match keywords on a page a certain number of times, and the second one deals with creating natural-sounding texts that provide a better user experience.
However, this raises a lot of questions, like:
- Do they actually benefit content and search rankings?
- Why isn’t everyone in SEO unanimously using one approach?
- Will one approach eventually push out the other?
Join our panel discussion with SEO experts Crystal Carter, Koray Tuğberk Gübür, Sara Taher, and Andrew Cock-Starkey to get answers to these and other controversial questions, and hear what experts have to say on this issue.
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