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Serge Bezborodov - AI Internal Linking for E-Co...

Serge Bezborodov - AI Internal Linking for E-Commerce Websites

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December 12, 2025
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  1. x.com/Sergebezborodov Text Embeddings Link building -0.028526846319437027, -0.009915490634739399, 0.008613178506493568, -0.0028113413136452436, -0.02523316629230976,

    -0.02877490594983101, -0.04445778205990791, -0.009646759368479252, -0.04605638608336449, 0.02261476032435894, 0.020313318818807602, -0.0032385550439357758, -0.026032470166683197, -0.025894658640027046, 0.01249944418668747, -0.022973068058490753, 0.012823299504816532, -0.02747948281466961, -0.004578765481710434, 0.027327891439199448, 0.04861966893076897, -0.020947249606251717, 0.058376677334308624, 0.03428734093904495, -0.013278075493872166, -0.007834547199308872, 0.04233549162745476, 0.006580468267202377, 0.02891271561384201, 0.004492633510380983, 0.03924852982163429, -0.04870235547423363, 0.043189920485019684, 0.05112782493233681, -0.019334862008690834, 0.025784410536289215, 0.0014470139285549521, -0.01194131001830101, 0.031090127304196358, 0.013243623077869415, 0.04164643958210945, -0.0026580267585814, 0.058542050421237946, 0.0037381192669272423, -0.010273799300193787, 0.022270234301686287, -0.03139331191778183, -0.022008392959833145, 0.050714392215013504, 0.056061454117298126, -0.010570092126727104, -0.015558845363557339, 0.018480435013771057, 0.043548230081796646, -0.018025659024715424, -0.003941390197724104, 0.0164270531386137, 0.0055951206013560295, -0.022215109318494797, 0.03494883328676224, -0.029381273314356804, -0.007641611620783806, 0.000496549706440419 Technical SEO -0.01993323303759098, 0.035309500992298126, -0.006206420715898275, -0.0331009104847908, -0.013747780583798885, -0.007094050291925669, -0.023274077102541924, 0.02904716692864895, -0.0025790194049477577, -0.016732174903154373, 0.05764702335000038, -0.014509604312479496, -0.004053743090480566, -0.03352026268839836, 0.019569793716073036, 0.012951009906828403, -0.013538104481995106, -0.04733094573020935, 0.012356927618384361, 0.002862082328647375, 0.06704052537679672, -0.05683627352118492, 0.014251003973186016, 0.026251481845974922, 0.03248585760593414, 0.033492304384708405, 0.0361761637032032, 0.08767268061637878, 0.024070847779512405, -0.0030298235360533, 0.003337348811328411, -0.04224279895424843, -0.012978967279195786, 0.004979813937097788, 0.035644982010126114, -0.0012659210478886962, 0.0243364367634058, -0.019038613885641098, 0.04090087115764618, -0.018731089308857918, 0.014509604312479496, 0.0010029519908130169, 0.03502993285655975, 0.006202925927937031, -0.012957999482750893, -0.0068039982579648495, -0.0074994247406721115, 0.011231663636863232, 0.02616761066019535, -0.0044730957597494125, 0.05524273216724396, -0.021331075578927994, 0.029606303200125694, 0.08409420400857925, -0.01910850591957569, -0.022239673882722855, -0.039726682007312775, 0.008240281604230404, 0.012440797872841358, 0.054236285388469696, -0.01797625422477722, -0.013607996515929699, 0.010966073721647263, -0.027439646422863007
  2. x.com/Sergebezborodov Text Embeddings Accuracy Link building Technical SEO 0 1

    0.5144 ~ 59° Website Internal Linking Technical SEO 0 1 0.4579 ~ 62.8°
  3. x.com/Sergebezborodov The Current Manual Approach Page B Page C Page

    D Page E Page F Page G Page H Page I Page J Page A Candidates
  4. x.com/Sergebezborodov The Current Manual Approach Page B Page C Page

    D Page E Page F Page G Page H Page I Page J Cosine similarity 0.5134 0.8258 0.2791 0.7477 0.2010 0.7123 0.3572 0.6696 0.5915 Candidates Page A
  5. x.com/Sergebezborodov The Current Manual Approach Page B Page C Page

    D Page E Page F Page G Page H Page I Page J Cosine similarity 0.5134 0.8258 0.2791 0.7477 0.2010 0.7123 0.3572 0.6696 0.5915 0.5134 0.8258 0.2791 0.7477 0.2010 0.7123 0.3572 0.6696 0.5915 Best candidate Candidates Page A
  6. x.com/Sergebezborodov The Current Manual Approach Page A Page B Page

    C Page D Page E Page F Page G Page H Page I Page J Page K Page L Page M Page N Page O Page P Page Q Page R Page S Page T Page U Page V Page W Page X Page Y Page Z Page AA Page AB Page AC Page AD Page AE Page AF Page AG Page AH Page AI Page AJ Page AK Page AL Page AM Page AN Page AO Page AP Page AQ Page AR Page AS Page AT Page AU Page AV Page AW Page AX Page AY To check 10k pages we need 100.000.000 calculations
  7. x.com/Sergebezborodov Split by Categories Levels Page B Page C Page

    D Page E Page F Page G Page H Page I Page J Same category Page A
  8. x.com/Sergebezborodov Split by Categories Levels Page B Page C Page

    D Page E Page F Page G Page H Page I Page J Parent category Same category Page A Page B Page C Page D Page E Page F Page G Page H Page I Page J
  9. x.com/Sergebezborodov Implementation 1. We don’t change existing internal linking 2.

    We build a layer on top of it 3. We test and experiment
  10. x.com/Sergebezborodov Interlinking Core Concepts Donors Acceptors strong pages with crawl

    budget with impressions weak pages no/low crawl budget links
  11. x.com/Sergebezborodov The TODO 1. Choose acceptors pages - what
 do

    you want to improve - Is Indexable - Yes - Exclude pagination - Exclude pages with GET params - Catalogs with products - Product pages with stock - Orphans or low internal linking - Business value pages
  12. x.com/Sergebezborodov The TODO 3. Matching fields - Breadcrumbs - Check

    your pages have JSON+LD
 breadcrumbs schema - Otherwise create custom extraction
 for each BR level for the URL field
  13. x.com/Sergebezborodov The TODO 5. Anchor generation - simple solution -

    use target (acceptor) page title or H1 - add some regexp cleaning on top (remove patterns, brand and so on) - better solution - use your keywords data for anchors
  14. x.com/Sergebezborodov Tips & Tricks Generate Asses Finetune Generate 1. Start

    with small batches about 1-10-20k URLs 2. Play with parameters, it’s iterative process 3. Deploy and test the changes
  15. x.com/Sergebezborodov What It Can? -free, absolutely free -no limitations, only

    the capacity of your PC -works natively with Screaming Frog exports -does not duplicate existing internal linking -extracts automatically Breadcrumbs from schema -two linking algorithms -anchor generation -anchor blending by your list (GSC keywords, semantic) -it’s fast and hungry to RAM