Backlink Recommender Quiz
Answer 8 quick questions and instantly get a custom backlink mix tailored to your goals, niche, budget, and risk tolerance.
Methodology & RealโWorld Case Studies
The Backlink Recommender Quiz is built on over a decade of linkโbuilding data and aligns with the 2026 Google algorithm landscape. It analyzes your inputs against our proprietary scoring model, which weighs domain authority gaps, keyword competitiveness, niche constraints, and budget efficiency. Every recommendation is designed to balance risk, cost, and ranking velocity.
โ๏ธ How the algorithm works
Each answer is converted into a numeric influence on the four core link types: PBN links (high volume, low cost), Guest posts (editorial authority), Niche edits (contextual relevance), and HARO/PR links (topโtier trust). The engine then applies niche multipliers (Casino/CBD/Adult get a 2.5ร cost penalty and a shift toward PBN reliance) and urgency factors (ASAP goals increase PBN share). Finally, it caps exactโmatch anchor risks by ensuring your recommended mix doesn't overโconcentrate on any single anchor type.
๐ Case Study 1 โ SaaS Startup, Low DA, Medium KD
Profile: DA 12, 8 target keywords, KD 45, budget $1,800/month, niche SaaS.
Recommended mix: 55% PBN links, 25% guest posts, 15% niche edits, 5% HARO.
Result after 7 months: 6 of 8 keywords on page one. Organic traffic grew from 400 to 3,200 visits/month. The client used our PBN links and guest post service to execute the plan.
๐ฆ Case Study 2 โ Finance Comparison Site, High Risk Aversion
Profile: DA 38, KD 65, budget $4,000/month, low risk tolerance.
Recommended mix: 20% PBN (only highโquality), 50% guest posts, 25% niche edits, 5% HARO.
Outcome: No manual actions. After 10 months, rankings for โbest credit cardsโ and 4 secondary terms reached top 5. The site passed every core update.
Start the quiz above to receive your personalized linkโbuilding blueprint, complete with specific service recommendations tailored to your situation.