This report examines the SEO tactics used by those businesses ranking for 'Japanese Dogs'.
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This report examines the SEO tactics used by those businesses ranking for 'Japanese Dogs'. Japanese Dogs |
SEO Road Map - Sunday January 01, 2023Japanese Dogs #26 www.countryliving.com
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About the ReportThe Road Map lists the factors in descending order where the factors at the top have the strongest correlation with rank position in Google and they get incrementally weaker as you go down the list. We recommend that you fix 5-10 deficits at a time then wait 2-12 days to see if there is impact. You can always do more passes later. We want to avoid triggering a "Google Dance" where your page drops out of search for a week or more while Google reprocesses everything. We find that making too many changes at once triggers this. If you do trigger a Google Dance then 9 times out of 10 the correct action to take is to stop and wait. Work on different pages in that case. A Google Dance often results in the same position or better.Exact MatchThis is the search used to create this report.Japanese Dogs VariationsVariations are the words that Google makes bold in desktop search results. Google bolds them to show you how relevant the results are. We measure them because they help make your page relevant for the target keyword.japanese 3, japanese dog 3, japan 3, dogs 3, dog 3 LeadingThis means the tag content begins with the keyword match.<tag>KEYWORD ...</tag> Making Whole TagsThis means the only content in the tag is the keyword match.<tag>KEYWORD</tag> EntitiesEntities are nouns that Google's AI likely understands. They are found in public databases like Freebase, Wikidata, and Wikipedia. Groups of entities form topics which helps classify documents.bed 3, japan 3, japanese spitz 3, pup 3, shiba inu 3, kishu ken 3, dog breeds 3, navigation 3, japanese 3, dogs 3, pet 3, kai ken 3, image 3, rain 3, akita 3, dog breed 3, weight 3, history 3, hokkaido 3, coat 3, kishu 3, dog 3, tosa 3, love 3, color 3, japanese terrier 3, breeds 3, cat 3, shikoku 3, menu 3, breed 3, shiba 3, information 3, sport 3 Triple Word LSILSI are simply other words that come up naturally when people talk about your target keyword.Double Word LSIshiba inu 3, img src 3, end google 3, p class 3, japanese terrier 3, span class 3, to japan 3, div class 3, japanese spitz 3, dog breeds 3, dog breed 3, i class 3, li class 3, ul class 3, iframe src 3, japanese dog 3Single Word LSIthese 3, vid 3, bar 3, hunting 3, loyal 3, google 3, hokkaido 3, size 3, strong 3, independent 3, icon 3, how 3, search 3, same 3, term 3, quiet 3, close 3, policy 3, set 3, chin 3, learn 3, tail 3, pinterest 3, right 3, food 3, wrap 3, bee 3, red 3, div 3, ref 3, japanese 3, act 3, won 3, rel 3, rem 3, train 3, image 3, test 3, count 3, check 3, list 3, article 3, kishu 3, http 3, frame 3, some 3, bred 3, mountains 3, blank 3, origin 3, back 3, title 3, content 3, breeds 3, sid 3, getting 3, end 3, class 3, over 3, owner 3, false 3, label 3, breed 3, form 3, there 3, well 3, family 3, gift 3, very 3, considered 3, years 3, thick 3, navigation 3, action 3, text 3, https 3, pet 3, likely 3, nav 3, large 3, script 3, even 3, dog 3, other 3, don 3, world 3, top 3, known 3, tos 3, share 3, side 3, may 3, menu 3, url 3, shiba 3, fun 3, con 3, arrow 3, use 3, main 3, body 3, that 3, pin 3, www 3, net 3, new 3, akita 3, alt 3, less 3, coat 3, background 3, noscript 3, were 3, true 3, header 3, code 3, amp 3, footer 3, best 3, around 3, head 3, kai 3, today 3, lang 3, make 3, hear 3, src 3, social 3, intelligent 3, eser 3, japan 3, about 3, instagram 3, fighting 3, mountain 3, pounds 3, they 3, height 3, ext 3, app 3, devoted 3, png 3, them 3, ancient 3, input 3, tosa 3, sub 3, long 3, min 3, ken 3, where 3, iframe 3, shikoku 3, popular 3, though 3, star 3, svg 3, one 3, black 3, many 3, people 3, call 3, face 3, story 3, country 3, ice 3, align 3, white 3, dogs 3, overlay 3, this 3, please 3, look 3, name 3, know 3, guid 3, desc 3, hidden 3, color 3, submit 3, show 3, description 3, privacy 3, update 3, life 3, button 3, not 3, now 3, placeholder 3, ord 3, org 3, center 3, start 3, target 3, lifestyle 3, what 3, time 3, container 3, none 3, type 3, twitter 3, terms 3, href 3, item 3, method 3, double 3, scroll 3, style 3, card 3, care 3, love 3, widget 3, guard 3, affectionate 3, lot 3, dark 3, eat 3, theme 3, place 3, more 3, facebook 3, great 3, width 3, first 3, span 3, small 3, date 3, data 3, own 3, his 3, tab 3, create 3, html 3, tag 3, day 3, ver 3, like 3, bottom 3, format 3, most 3, person 3, affection 3, spitz 3, weigh 3, largest 3, ease 3, img 3, game 3, line 3, link 3, why 3, cat 3, value 3, jpg 3, also 3, terrier 3, brindle 3, inu 3 |
| #26 www.countryliving.com | Avg | Max | 1 | 2 | 3 | |
| Clean Variation Density | 5.27 % | 5.47 | 6.93 | 6.93 % | 5.47 % | 4.00 % |
| Clean Exact Match Density | 0.00 % | 0.09 | 0.21 | 0.21 % | 0.00 % | 0.06 % |
Clean Variation Density: Keyword density is the ratio of keywords to word count. In a clean density the following parts of the page are excluded: head tag, comments, scripts, styles, and HTML tags. All variations are used to calculate the match count.
Clean Exact Match Density: Keyword density is the ratio of keywords to word count. In a clean density the following parts of the page are excluded: head tag, comments, scripts, styles, and HTML tags. Only the Exact Match is used to calculate the match count.
| Factor ID | Factor Name | countryliving.com | Avg | Max | #1 | #2 | #3 | 0.20 |
| ENT009 | Entities in Title Tag | 4 | 6.00 | 10 | 10 | 4 | 4 | -0.40 |
| ENT000a | Number of Entities Used | 38 | 54.33 | 64 | 51 | 64 | 48 | -0.36 |
| ENT002 | Entities in H1 Tags | 4 | 5.67 | 9 | 9 | 4 | 4 | -0.32 |
| ENT004 | Entities in H3 Tags | 0 | 3.67 | 11 | 0 | 11 | 0 | -0.26 |
| ENT018 | Entities in Sentences | 91 | 332.33 | 390 | 390 | 383 | 224 | -0.26 |
| ENT014 | Has Entities in H3 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.25 |
| ENT001 | Entities in HTML Tag | 623 | 848.67 | 914 | 820 | 914 | 812 | -0.23 |
| CP168 | Leading Variations in H3 Tags | 0 | 3.67 | 11 | 0 | 11 | 0 | -0.23 |
| CP451 | Number of US Phone Numbers | 70 | 35.67 | 69 | 0 | 69 | 38 | -0.22 |
| CP347 | Has US Phone Number | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.22 |
| CP156 | Leading Variations in H1, H2, and H3 Tags | 1 | 42.00 | 85 | 16 | 25 | 85 | -0.22 |
| CPXR24 | Number of P Tags | 13 | 75.67 | 103 | 35 | 89 | 103 | -0.22 |
| ENT008 | Entities in Meta Description Tag | 8 | 16.00 | 34 | 34 | 8 | 6 | -0.21 |
| CP469a | Exact Match in Sentences | 0 | 1.33 | 3 | 3 | 0 | 1 | -0.21 |
| CP160 | Leading Variations in H1-H6 Tags | 1 | 43.33 | 89 | 16 | 25 | 89 | -0.19 |
| CPXR003 | Number of Heading Tags | 1 | 43.33 | 89 | 16 | 25 | 89 | -0.18 |
| CP468 | Number of Sentences | 21 | 71.00 | 91 | 91 | 57 | 65 | -0.17 |
| CP425 | Number of HTTPS Links | 81 | 171.67 | 224 | 224 | 147 | 144 | -0.17 |
| CP426 | Number of Images | 17 | 51.00 | 61 | 41 | 61 | 51 | -0.17 |
| CP435 | Number of Links | 89 | 172.67 | 227 | 227 | 147 | 144 | -0.16 |
| ENT003 | Entities in H2 Tags | 0 | 39.67 | 64 | 35 | 20 | 64 | -0.16 |
| CP492 | Word Count | 673 | 1918.00 | 2023 | 2023 | 2008 | 1723 | -0.16 |
| CP134a | Exact Match in Body Tag | 0 | 2.67 | 4 | 4 | 0 | 4 | -0.15 |
| CP492b | Unabridged Word Count | 799 | 2193.67 | 2312 | 2312 | 2309 | 1960 | -0.13 |
| CP427 | Number of Images with Alt Text | 7 | 38.67 | 61 | 16 | 61 | 39 | -0.13 |
| CP313 | Has Privacy Policy | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.13 |
| CP213 | Has FavIcon | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.13 |
| CPXR002 | Number of HTML Comments | 12 | 11.00 | 16 | 16 | 8 | 9 | -0.12 |
| CP470a | Exact Match in the HTML Tag | 0 | 1.67 | 4 | 4 | 0 | 1 | -0.12 |
| CP204 | Has Canonical URL | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.12 |
| CP224 | Has Meta Charset | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.11 |
| CP345 | Has Terms of Service | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.11 |
| CP164 | Leading Variations in H2 Tags | 0 | 37.33 | 84 | 15 | 13 | 84 | -0.11 |
| CP428 | Number of Images without Alt Text | 10 | 12.33 | 25 | 25 | 0 | 12 | -0.09 |
| CPJLD014 | Has JSON-LD Article | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.09 |
| CPJLD189 | Has JSON-LD Organization | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.09 |
| CPXX888 | Number of HTML Tags | 428 | 1334.33 | 1513 | 1290 | 1200 | 1513 | -0.08 |
| CP438 | Number of Meta Keywords | 1 | 1.67 | 3 | 3 | 1 | 1 | -0.08 |
| QS003 | Number of Questions | 2 | 3.33 | 10 | 0 | 0 | 10 | -0.08 |
| ENT012 | Has Entities in H1 Tags | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.08 |
| CP484 | Leading Variations in Title Tag | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.07 |
| CP479c | Title Has Top | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.07 |
| CP233 | Has Meta Twitter Site | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.07 |
| CP412 | Number of Email Addresses | 0 | 1.67 | 5 | 0 | 0 | 5 | -0.07 |
| CP412b | Has Email | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.07 |
| ENT010 | Title Tag Has Entities | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.06 |
| CP235 | Has Meta Viewport | 0 | 0.67 | 1 | 0 | 1 | 1 | -0.06 |
| CPJLD198 | Has JSON-LD Person | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.05 |
| CP227 | Has Meta Keywords | 1 | 0.33 | 1 | 1 | 0 | 0 | -0.05 |
| CP151 | Leading Variations in H1 Tags | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.05 |
| ENT013 | Has Entities in H2 Tags | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.05 |
| CP172 | Leading Variations in H4 Tags | 0 | 1.33 | 4 | 0 | 0 | 4 | -0.04 |
| CP176 | Leading Variations in H4-H6 Tags | 0 | 1.33 | 4 | 0 | 0 | 4 | -0.03 |
| CP230 | Has Meta Twitter Cards | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.02 |
| CPJLD127 | Has JSON-LD ItemList | 1 | 0.33 | 1 | 0 | 1 | 0 | -0.02 |
| CP364 | Is OpenGraph Type Article | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.02 |
| CP381a | Exact Match in Meta Descriptions | 0 | 0.67 | 2 | 2 | 0 | 0 | -0.01 |
| CP228 | Has Meta Robots | 1 | 0.67 | 1 | 1 | 1 | 0 | -0.01 |
| CPJLD265 | Has JSON-LD WebPage | 1 | 0.33 | 1 | 0 | 0 | 1 | -0.01 |
| CPXR004 | Number of H1 Tags | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.01 |
| CPJLD122 | Has JSON-LD ImageObject | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.01 |
| ENT011 | Meta Description Tag Has Entities | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.00 |