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ï‚· Agree onsitemapandpotential content allotment,businessgoals, competitive analysis
(SEMRush),assetinventory,currentstatus/effectivenessof currentefforts
ï‚· Reviewhistorical analytics,use google adwordstool planner,ubersuggest/keywordtool.io,
soovle,social listeningforproposedviral content
ï‚· Understandthe mostcompetitive searchesforproposedlandingpages(GoogleKeyword
Planner)
ï‚· Onsite buildoutandresearchcomprisedof synonymsandclose variants
 Term frequency - inversedocumentfrequency(tf-idf) –relationshipbetweentermusage in
regardsto multiple documentsets.
ï‚· Co-occurrence andphrase basedindexing(currentsuggestedtool bottlenose) certainphrases
tendto predictotherphrases
ï‚· Semanticdistance andtermrelationships(titles, headings,same paragraphterms,itemsinlist
placement,etc.)
ï‚· Researcharoundtopicsand themesandnotsimplykeywords
ï‚· Page segmentation(maintargetedcopyinbody)
ï‚· Entitysalience (similartolatentderelictallocation) lsikeywords.com (relationshipsbetweensets
of termsandphrasesinrelationtoeach other)
ï‚· Mappingterms,phrases,topicsbyneedstatesinfunnel (awareness,familiarity,consideration,
decision/action,loyalty)
ï‚· Balance terms/phrasestocover multiple typesof searches
(navigational,informational,transactional)
ï‚· Make sure to cover/ touch points& emotional experience
(skepticism,affirmation,validation,trust)
ï‚· Alsodefine whattype of copy(new,rewrite,optimizecurrent) If brickandmortar locations
determine Geofocuses,individual page URLs,headings,internallinkinganchors,internal linking
destinationURLs,metas
ï‚· Breakdowntarget to smallerlevel dependingonthe productorservice segment, cohort,
personaetc.(have inmindwhattarget marketis)

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Future Proof SEO Onsite Process For 2017 and Beyond Created by Nova Zora Digital CEO Roman Prokpchuk

  • 1. ï‚· Agree onsitemapandpotential content allotment,businessgoals, competitive analysis (SEMRush),assetinventory,currentstatus/effectivenessof currentefforts ï‚· Reviewhistorical analytics,use google adwordstool planner,ubersuggest/keywordtool.io, soovle,social listeningforproposedviral content ï‚· Understandthe mostcompetitive searchesforproposedlandingpages(GoogleKeyword Planner) ï‚· Onsite buildoutandresearchcomprisedof synonymsandclose variants ï‚· Term frequency - inversedocumentfrequency(tf-idf) –relationshipbetweentermusage in regardsto multiple documentsets. ï‚· Co-occurrence andphrase basedindexing(currentsuggestedtool bottlenose) certainphrases tendto predictotherphrases ï‚· Semanticdistance andtermrelationships(titles, headings,same paragraphterms,itemsinlist placement,etc.) ï‚· Researcharoundtopicsand themesandnotsimplykeywords ï‚· Page segmentation(maintargetedcopyinbody) ï‚· Entitysalience (similartolatentderelictallocation) lsikeywords.com (relationshipsbetweensets of termsandphrasesinrelationtoeach other) ï‚· Mappingterms,phrases,topicsbyneedstatesinfunnel (awareness,familiarity,consideration, decision/action,loyalty) ï‚· Balance terms/phrasestocover multiple typesof searches (navigational,informational,transactional) ï‚· Make sure to cover/ touch points& emotional experience (skepticism,affirmation,validation,trust) ï‚· Alsodefine whattype of copy(new,rewrite,optimizecurrent) If brickandmortar locations determine Geofocuses,individual page URLs,headings,internallinkinganchors,internal linking destinationURLs,metas ï‚· Breakdowntarget to smallerlevel dependingonthe productorservice segment, cohort, personaetc.(have inmindwhattarget marketis)