Semantic Backlinking · Proof
Prepared June 2026
Backlink + AI Citation Engineering · Proof
Most agencies buy links. We engineer ranking probability.

Most agencies sell you a report. We move the curve.

Four domains, four different starting lines: a recovering authority site, a niche breakout, a brand-new domain off zero, and a major streaming brand we’ve just onboarded. One engine: WLDM’s semantic backlinking. Google and AI ranking is a data-science problem. These are our curves, three proven and one just begun, pulled straight from Ahrefs.

11M+
AI citations analysed
99%+
ML backlink model accuracy
#1
Built world’s largest link DB
9
Proprietary tools

Charts pulled from Ahrefs Site Explorer: organic traffic and referring domains, monthly. Each marker shows the month WLDM’s work began on that account.

The thesis

DR is two dimensions. Google works in three.

The link-building model everyone is still selling stopped working in 2021. Most agencies are still selling Domain Rating: one flat number on a leaderboard. That’s two dimensions. Google ranks in three: relevance, real traffic, and topical coherence.

A semantic link is one chosen because the source sits close to you in the authority graph. It is topically coherent, with real traffic and ranked pages, not just a high number on a DR chart. Build enough of them and you don’t lift a vanity score. You lift harmonic centrality across an entire topic cluster. That is what compounds, and that is what the three curves below are made of.

  • Topical coherence is scored before a single email goes out.
  • Links land on pages about your actual subject, with real traffic and ranked pages.
  • Authority accrues to the whole entity cluster, not one URL.
  • We engineer 3D vector authority and harmonic centrality, not a flat DR.

In one line

“We don’t buy the biggest links. We engineer the most relevant ones, at a volume only a data pipeline can sustain.”

We map the authority layer of the internet, then engineer your position in it. Same engine behind all three case studies. Different starting line each time.

Two signals · no noise

Ranking probability comes down to relevance and real traffic.

That’s it. Everything else is noise. Most agencies buy links and hope a big number carries them. We score every source against your topic graph before a single email goes out. Then a human earns the placement from an editor who actually covers your subject. The curves below are what that discipline looks like over time.

How the work is done

A two-part engine: data science first, human relationships second.

Most link building is a list someone bought. Ours starts inside our own data and ends with a real person on the other side of an email. We don’t sell open-ended retainers. We scope a 3-month project to a defined outcome and hit it.

01

Data science extraction

We run the client’s topic through WLDM’s proprietary link database, the largest of its kind, and our machine-learning classifiers, which score and qualify backlink targets at 99%+ accuracy. Instead of filtering by raw Domain Rating, the system maps the client’s entity and topic graph and surfaces the domains and pages that are contextually closest, ranked by semantic proximity and harmonic centrality.

This is the data-science half of the engine. It sifts thousands of candidate sources in minutes and hands outreach a pre-qualified target list, so human time is spent only where the model already believes it moves rankings.

Largest link database ML classifiers · 99%+ Entity / topic mapping Harmonic centrality
02

Manual outreach

Qualified targets go to a human team. Every pitch is written for the specific editor and the specific page: real relationships, real editorial placements, on sites that are genuinely about the same topic as the client.

No PBNs, no link farms, no spun content. Because the targets are topically matched up front, acceptance rates are higher and the links that land carry real relevance signal. The profile grows the way a natural one would, only faster, and pointed exactly where it counts.

Editorial placements Custom human outreach Topical relevance match White-hat only

How we read a domain in five steps

01
Map
Parse the domain, extract its services and topic clusters.
02
Score
Rank candidate sources by semantic proximity & harmonic centrality.
03
Target
Build a pre-qualified list of topically-coherent placements.
04
Reach
Human outreach earns editorial links on the highest-relevance targets.
05
Compound
Authority accrues across the cluster; the curve bends upward.
The metric · cosine similarity

The number that separates a real link from a big one.

Cosine similarity scores how topically close a linking page is to yours. We turn both pages into vectors of their meaning, then measure the angle between them: 1.00 is a perfect topic match, 0.00 is unrelated noise. Most agencies never measure it. We score every source before a single email goes out, and chase only the ones that sit close to you. Every placement below is real, and so are its numbers.

Case Study A · Authority recovery Dominant authority

An authority site, recovered and rebuilt past its peak.

A large, established games portal in the puzzle & card category. A core algorithm update had cut its organic traffic roughly in half. WLDM was engaged to rebuild relevance and reverse the decline.

~5.5M
Monthly visits at start (Mar 2024)
12.8M
Peak monthly visits (Jan 2025)
+127%
Traffic from trough
Mar 2024
WLDM engaged at recovery start
Organic traffic vs referring domains · monthly Organic trafficReferring domains

What we did

  • Engaged March 2024, at the post-update floor (~5.5M), right where the recovery begins.
  • Defined-outcome project, enterprise tier: sustained semantic placements (~40–60/mo equivalent) built around the site’s strongest topic clusters.
  • Data-science extraction rebuilt the target set; outreach earned topically-coherent editorial links to replace the relevance the update had stripped.
  • We don’t claim the whole link profile. Our role was the high-relevance, high-centrality placements: ~600 for this site over five years, part of 3,000+ across the brand’s network. The trajectory speaks for itself.

The markers on the chart

  • WLDM engaged (Mar 2024): the marker sits exactly where the recovery turns.
  • Results kick in (May 2024): traffic jumps 5.6M → 8.3M and climbs to a 12.8M peak by Jan 2025.
  • Two years on, organic traffic holds in the 10–12M range. The recovery stuck and the authority compounds.
Verified placements · sources blurred ~600 links · 5 yrs · 3,000+ across the network
Source (blurred)Page trafficSite trafficCosine similarity
17/mo organic 545.5k/mo organic 0.69
370/mo organic 35.6k/mo organic 0.52
270/mo organic 41.1k/mo organic 0.51
321/mo organic 27.8k/mo organic 0.59
5/mo organic 62.8k/mo organic 0.27
Page & site traffic = monthly organic visits (Ahrefs). Cosine scored before outreach. real placements · confidential
Case Study B · Niche breakout Emerging → breakout

A tile-game site, 4.5× in a single quarter on ~50 semantic links.

A single-game web platform in the tile-matching niche, already on the rise. WLDM started a focused semantic placement campaign in March 2026. In the quarter since, organic traffic has gone 4.5×, on roughly fifty links.

~13.4K
Monthly visits at our start (Mar 2026)
60.1K
Monthly visits (Jun 2026)
4.5×
Traffic in one quarter
~50
Semantic links since Mar 2026
Organic traffic vs referring domains · monthly Organic trafficReferring domains

What we did

  • Engaged March 2026, with the site already climbing. We claim the quarter since our start, not the year before it.
  • A tight, defined-outcome push: roughly fifty semantic placements, each scored for topical fit before a single email went out.
  • The extraction step found a dense cluster of topically-coherent tile-game and puzzle sources the site had never been linked from.
  • In the quarter since, organic traffic has gone roughly 4.5×, from ~13.4K to 60.1K. Fifty precise links, not five hundred generic ones.

The markers on the chart

  • WLDM engaged (Mar 2026): the marker sits at the start of our work. Everything left of it is the site’s own.
  • One quarter in: ~13.4K → 60.1K, roughly 4.5× while our fifty placements land.
  • On ~50 links, not hundreds. This is semantic efficiency: relevance over volume.
Verified placements · sources blurred ~50 links since Mar 2026
Source (blurred)Page trafficSite trafficCosine similarity
4.6k/mo organic 41.2k/mo organic 0.60
409/mo organic 22.9k/mo organic 0.61
26/mo organic 7.8k/mo organic 0.52
8/mo organic 9.2k/mo organic 0.48
3.7k/mo organic 5.7k/mo organic 0.46
Page & site traffic = monthly organic visits (Ahrefs). Cosine scored before outreach. real placements · confidential
Case Study C · Zero to scale Established from zero

A brand-new domain, zero to six figures in fourteen months.

A freshly launched puzzle web app: no history, no links, no authority. WLDM built the authority layer from the first month live, alongside the launch.

0
Visits at launch (Apr 2025)
106.9K
Monthly visits (Jun 2026)
14 mo
From zero to six figures
Apr 2025
WLDM engaged at launch
Organic traffic vs referring domains · monthly Organic trafficReferring domains

What we did

  • Engaged April 2025, on board from the launch month, so growth and engagement start together.
  • New-build sprint: front-loaded semantic placements, 350+ since May 2025, to install authority fast.
  • With no legacy profile to inherit, the build started clean: every placement deliberate, topically coherent, chosen for centrality.
  • Traffic compounded from zero to 106.9K monthly visits in fourteen months. The marker simply sits at month one.

The markers on the chart

  • WLDM engaged (Apr 2025): launch month, the starting line for both the site and the engagement.
  • Results kick in immediately: 0 → ~9.8K visits in month one, ~28K by month two.
  • Fourteen months in, the site clears 100K monthly visits: a clean semantic build from scratch.
Verified placements · sources blurred 350+ links since May 2025
Source (blurred)Page trafficSite trafficCosine similarity
16/mo organic 104.3k/mo organic 0.69
57/mo organic 94.6k/mo organic 0.49
10/mo organic 51.2k/mo organic 0.60
128/mo organic 2.7k/mo organic 0.68
22/mo organic 15k/mo organic 0.58
Page & site traffic = monthly organic visits (Ahrefs). Cosine scored before outreach. real placements · confidential
Live engagement · Enterprise streaming Foundation phase

And the newest: a major streaming brand, just onboarded.

An enterprise live-streaming platform already pulling ~1.4M monthly organic visits before we arrived. WLDM was engaged in January 2026, so this one is clear about its stage: everything left of the marker is the brand’s own history. Our work is the authority foundation now being laid. A name you’d recognise, and we’re at the start of it.

~1.4M
Monthly visits (brand scale)
~34K
Existing referring domains
Jan 2026
WLDM engaged
Mo. 6
Foundation phase · developing
Organic traffic vs referring domains · monthly Organic trafficReferring domains

What we’re doing

  • Engaged January 2026 on an already-established brand. The marker sits at the start of our work, not the start of theirs.
  • Phase one is data-science extraction across a 34K-domain profile, with the first ~100 placements aimed at the brand’s highest-volume categories: GTA 6, DOTA, League of Legends, Valorant.
  • We claim none of the pre-2026 growth. That history is the brand’s. Our placements are laying foundation now.
  • Defined-outcome project. The curve to judge us on is the one that starts at the marker.

Where it stands

  • Five months in (Jun 2026): traffic holding at ~1.4M after an early-year dip. Foundations first, not fireworks, yet.
  • This is what month five looks like on an enterprise account: groundwork first, compounding later.
  • Included as proof of the calibre of brand WLDM is trusted with. The win, when it comes, shows on this same chart over the next two quarters.
Verified placements · sources blurred ~100 links · GTA 6 · DOTA · LoL · Valorant
Source (blurred)Page trafficSite trafficCosine similarity
2.4k/mo organic 509.8k/mo organic 0.55
1.4k/mo organic 71.5k/mo organic 0.66
277/mo organic 125.5k/mo organic 0.50
159/mo organic 18.8k/mo organic 0.83
23/mo organic 44.2k/mo organic 0.31
Page & site traffic = monthly organic visits (Ahrefs). Cosine scored before outreach. real placements · confidential

The pattern across the three proven curves

Links lead. Traffic follows. Every time.

In each case the referring-domain line moves first, then organic traffic follows two to three months later. That lag is real, earned authority doing its work, and it’s why the engine is predictable: when the link curve turns up, the traffic curve is already on its way. This is what moves rankings now. This is what WLDM builds.

Brie Moreau, Founder of WLDM
“We don’t sell retainers for the sake of retainers. We engineer ranking and AI-citation probability with data science. If the plan looks right, I’ll make sure your benchmark starts this week.”
Brie Moreau
Founder, WLDM · brie@wldm.io