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, 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 databaseML classifiers · 99%+Entity / topic mappingHarmonic 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 placementsCustom human outreachTopical relevance matchWhite-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.
~5.4M
Monthly visits at start (Mar 2024)
13.5M
Peak monthly visits (May 2025)
2.5×
Traffic since engagement
Mar 2024
WLDM engaged at recovery start
Organic traffic · monthlyOrganic traffic
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 ~5.4M → ~10M within weeks and climbs to a 13.5M peak by mid-2025.
Two years on, organic traffic holds in the 9–13M range. The recovery stuck and the authority compounds.
Verified placements · sources blurred~600 links · 5 yrs · 3,000+ across the network
Each row is a page that links to the client, blurred. DR = its authority · Ranks for = keywords that source page ranks for · Position = its rank for the linked term · Cosine = topical match to the client. Source: Ahrefs.real placements · confidential
Case Study B · Niche breakout Emerging → breakout
A gaming site, 5× since our March engagement on ~50 semantic links.
A gaming site, already on the rise. WLDM started a focused semantic placement campaign in March 2026. Since then, organic traffic has gone from ~14K to ~74K, roughly 5×, on fifty links.
~14K
Monthly visits at our start (Mar 2026)
~74K
Monthly visits (Jun 2026)
5×
Traffic since March
~50
Semantic links since Mar 2026
Organic traffic · monthlyOrganic traffic
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 gaming sources the site had never been linked from.
Since March, organic traffic has gone roughly 5×, from ~14K to ~74K. 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: ~14K → ~74K, roughly 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
Each row is a page that links to the client, blurred. DR = its authority · Ranks for = keywords that source page ranks for · Position = its rank for the linked term · Cosine = topical match to the client. Source: Ahrefs.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 gaming site: 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)
~120K
Monthly visits (Jun 2026)
14 mo
From zero to six figures
Apr 2025
WLDM engaged at launch
Organic traffic · monthlyOrganic traffic
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 ~120K monthly visits in fourteen months. The marker sits at launch.
The markers on the chart
WLDM engaged (Apr 2025): launch month, the starting line for both the site and the engagement.
Results kick in fast: 0 → ~30K within the first month, holding through summer.
Fourteen months in, the site clears 100K monthly visits, peaking near ~120K: a clean semantic build from scratch.
Verified placements · sources blurred350+ links since May 2025
Each row is a page that links to the client, blurred. DR = its authority · Ranks for = keywords that source page ranks for · Position = its rank for the linked term · Cosine = topical match to the client. Source: Ahrefs.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 · monthlyOrganic traffic
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.
Each row is a page that links to the client, blurred. DR = its authority · Ranks for = keywords that source page ranks for · Position = its rank for the linked term · Cosine = topical match to the client. Source: Ahrefs.real placements · confidential
The pattern across the three proven curves
Links lead. Traffic follows. Every time.
In each case the links land 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: once the relevant links are in place, the traffic curve is already on its way. This is what moves rankings now. This is what WLDM builds.
“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.”