This report examines the SEO tactics used by those businesses ranking for 'Flushing Dogs'.
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This report examines the SEO tactics used by those businesses ranking for 'Flushing Dogs'. Flushing Dogs |
SEO Road Map - Friday December 30, 2022Flushing Dogs #36 pubmed.ncbi.nlm.nih.gov
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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.Flushing 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.flushing dog 3, flush 3, dogs 3, flushing 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.hunters 3, american 3, brittany 3, dog breeds 3, retriever 3, bird 3, dogs 3, hunting 3, hunter 3, pointers 3, pet 3, pointer 3, boykin spaniel 3, german shorthaired pointer 3, dog 3, hunting dog 3, spaniels 3, birds 3, breeds 3, spaniel 3, pheasant 3, news 3, golden retriever 3, poodle 3, american water spaniel 3, english pointer 3, chesapeake bay retriever 3, breed 3, bird dog 3, german wirehaired pointer 3, hunting dogs 3, labrador retriever 3 Triple Word LSILSI are simply other words that come up naturally when people talk about your target keyword.Double Word LSIhunting dog 3, span class 3, div class 3, doctype html 3Single Word LSIgerman 3, year 3, hunting 3, ten 3, size 3, strong 3, icon 3, after 3, learn 3, controls 3, down 3, red 3, div 3, post 3, rel 3, which 3, count 3, list 3, http 3, bred 3, some 3, back 3, breeds 3, load 3, root 3, end 3, class 3, live 3, flushers 3, false 3, label 3, home 3, form 3, family 3, very 3, text 3, https 3, nav 3, script 3, ever 3, dog 3, top 3, share 3, flushing 3, max 3, menu 3, url 3, doctype 3, auto 3, use 3, dist 3, main 3, body 3, that 3, new 3, read 3, alt 3, thai 3, were 3, true 3, header 3, retrieve 3, amp 3, footer 3, box 3, head 3, ron 3, land 3, row 3, social 3, src 3, control 3, about 3, cover 3, english 3, state 3, height 3, ext 3, pointer 3, old 3, png 3, them 3, input 3, sub 3, current 3, min 3, one 3, view 3, ico 3, dogs 3, pro 3, name 3, page 3, desc 3, color 3, show 3, life 3, button 3, news 3, time 3, play 3, none 3, type 3, href 3, var 3, range 3, more 3, facebook 3, help 3, width 3, first 3, span 3, date 3, own 3, html 3, ver 3, hunt 3, both 3, oya 3, here 3, img 3, line 3, link 3, stories 3, user 3 |
| #36 pubmed.ncbi.nlm.nih.gov | Avg | Max | 1 | 2 | 3 | |
| Clean Variation Density | 1.65 % | 3.67 | 5.70 | 5.70 % | 2.15 % | 3.15 % |
| Clean Exact Match Density | 0.00 % | 0.03 | 0.05 | 0.00 % | 0.03 % | 0.05 % |
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 | pubmed.ncbi.nlm.nih.gov | Avg | Max | #1 | #2 | #3 | 0.20 |
| CP134a | Exact Match in Body Tag | 0 | 3.00 | 8 | 0 | 8 | 1 | -0.32 |
| CP470a | Exact Match in the HTML Tag | 0 | 1.67 | 4 | 0 | 4 | 1 | -0.29 |
| ENT000a | Number of Entities Used | 8 | 57.00 | 79 | 39 | 79 | 53 | -0.28 |
| ENT009 | Entities in Title Tag | 1 | 5.00 | 12 | 12 | 0 | 3 | -0.27 |
| CP469a | Exact Match in Sentences | 0 | 0.67 | 2 | 0 | 2 | 0 | -0.25 |
| ENT003 | Entities in H2 Tags | 0 | 86.67 | 252 | 3 | 252 | 5 | -0.22 |
| ENT001 | Entities in HTML Tag | 65 | 704.00 | 1471 | 212 | 1471 | 429 | -0.22 |
| ENT018 | Entities in Sentences | 19 | 543.00 | 1235 | 126 | 1235 | 268 | -0.22 |
| CP163 | Exact Match making whole H2 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.21 |
| CP159a | Exact Match in H1-H6 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.20 |
| CPJLD173 | Has JSON-LD NewsMediaOrganization | 0 | 0.33 | 1 | 1 | 0 | 0 | -0.19 |
| ENT013 | Has Entities in H2 Tags | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.19 |
| CP155 | Exact Match making whole H1, H2, and H3 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.18 |
| CP159 | Exact Match making whole H1-H6 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.18 |
| ENT004 | Entities in H3 Tags | 0 | 3.67 | 6 | 0 | 5 | 6 | -0.15 |
| CP208 | Has Copyright | 1 | 0.67 | 1 | 0 | 1 | 1 | -0.15 |
| ENT014 | Has Entities in H3 Tags | 0 | 0.67 | 1 | 0 | 1 | 1 | -0.13 |
| CPJLD014 | Has JSON-LD Article | 0 | 0.33 | 1 | 0 | 0 | 1 | -0.13 |
| CP150a2 | Exact Match in H2 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.13 |
| CP164 | Leading Variations in H2 Tags | 11 | 31.00 | 84 | 5 | 84 | 4 | -0.11 |
| CP492b | Unabridged Word Count | 1666 | 4971.00 | 12141 | 551 | 12141 | 2221 | -0.11 |
| CP468 | Number of Sentences | 67 | 190.67 | 459 | 25 | 459 | 88 | -0.10 |
| CP228 | Has Meta Robots | 1 | 0.33 | 1 | 0 | 0 | 1 | -0.08 |
| ENT002 | Entities in H1 Tags | 2 | 7.67 | 15 | 15 | 5 | 3 | -0.07 |
| ENT010 | Title Tag Has Entities | 1 | 0.67 | 1 | 1 | 0 | 1 | -0.07 |
| CP492 | Word Count | 1383 | 4179.67 | 10217 | 474 | 10217 | 1848 | -0.06 |
| CP313 | Has Privacy Policy | 0 | 1.00 | 1 | 1 | 1 | 1 | -0.06 |
| ENT012 | Has Entities in H1 Tags | 1 | 1.00 | 1 | 1 | 1 | 1 | -0.06 |
| CPJLD172 | Has JSON-LD News Article | 0 | 0.33 | 1 | 1 | 0 | 0 | -0.06 |
| CPJLD122 | Has JSON-LD ImageObject | 0 | 0.67 | 1 | 1 | 0 | 1 | -0.05 |
| CP156 | Leading Variations in H1, H2, and H3 Tags | 25 | 36.33 | 94 | 7 | 94 | 8 | -0.04 |
| CP345 | Has Terms of Service | 1 | 0.67 | 1 | 1 | 0 | 1 | -0.04 |
| CPXR004 | Number of H1 Tags | 2 | 2.67 | 5 | 2 | 5 | 1 | -0.03 |
| QS003 | Number of Questions | 5 | 15.33 | 43 | 1 | 43 | 2 | -0.03 |
| QS006 | Number of Questions In H2 Tags | 0 | 0.33 | 1 | 0 | 1 | 0 | -0.03 |
| CP427 | Number of Images with Alt Text | 7 | 43.67 | 122 | 4 | 122 | 5 | -0.03 |
| CP309 | Has OpenGraph Image | 1 | 0.67 | 1 | 1 | 0 | 1 | -0.01 |