The domains AI cites in its answers, and the ones Google ranks for your keywords — turned into decision-ready backlink data: surfaced, scored, cross-referenced against 1.3M+ marketplace offers, and ready to buy. Two clicks per scan. A 5-role outreach desk, compiled into software.
When a user asks ChatGPT, Perplexity or Google AI Mode a question, the AI doesn't pull citations out of thin air. It runs a query fan-out— internally Googling 4–12 sub-queries (the "fan-outs") and citing the pages that appear most across those SERPs.
That fan-out is the buy list. If a domain ranks for the fan-outs your prompts trigger, it's a candidate to be cited. Place a link from that domain → you compound your AI visibility.
AI Rankia is the only platform tracking which prompts are asked about your brand and which fan-outs the AI generates from them. Links is the only product that turns those fan-outs into a ranked map of purchasable domains.
Source · Google confirmed the "query fan-out" pattern in their AI Overviews docs (May 2024). 38% of AI Overview citations come from the top-10 of those sub-query SERPs (Ahrefs, Apr 2026). →
Same pipeline, two inputs. You pick the workflow that matches what you want to influence.
Connect your AI Rankia workspace. We pull every prompt your audience asks AIs and the fan-outs each one generates, run SERPs on all of them, and return the domains AI Overviews + ChatGPT + Perplexity are most likely to cite.
Traditional SEO? Paste a keyword list — no AI Rankia data required. Same pipeline runs: top-10 Google SERPs for each keyword, deep into their backlink networks, cross-referenced with every link marketplace we support.
The result either way: a deep map of every purchasable link in your niche — sorted by relevance, with the cheapest live offer attached. The link market, opened up at the level Ahrefs and Semrush stop at.
Each bubble = a domain in your niche. Size = traffic. Color = layer: amber = SERP ranker, green = ref domain, gray = not purchasable.
| Domain | Layer | Niche Depth | Authority | Traffic | Price | Marketplace | Value Score | |
|---|---|---|---|---|---|---|---|---|
| onlinecashshop.com | Layer 3 | 3 pages | 0 | 6 | $3 | linksmanagement | 95 | |
| netzender.com | Layer 3 | 3 pages | DR 61 | 12 | $6 | linksmanagement | 91 | |
| hackernoon.com | Layer 2 | 1 query | DR 87 | 451k | $23 | adsy.com | 88 | |
| mean.ceo | Layer 3 | 3 pages | 0 | 2 | $38 | adsy.com | 84 | |
| data-mania.com | Layer 3 | 4 pages ★ | 0 | 16 | $124 | adsy.com | 82 | |
| muddyrivernews.com | Layer 2 | 1 query · #3 | DR 70 | 256k | $130 | linkpublishers | 78 | |
| nightwatch.io | Layer 2 | 1 query · #6 | DR 71 | 23k | $418 | linksasaservice | 65 | |
| sitepoint.com | Layer 2 | 4 queries ★ | DR 86 | 202k | $1,400 | adsy.com | 55 |
Brand → Prompts → Fan-outs → SERPs → Backlinks. Click any node to land on the same view inside the app.
The traceable read of the same scan: which AI question generated which SERP page, and which backlinks are buyable beneath it.
Google AI Mode and AI Overviews run a query fan-out: they break your prompt into sub-queries, pull SERPs, and cite pages that appear most. The links you should buy now follow that math.
Ahrefs & Semrush show you backlink data — then someone still has to figure out what to buy and where. Profound, Peec & Otterly tell you you're invisible in AI — then leave the fix to you. Links is the bridge: it reads the AI layer AND hands you the exact links to buy.
| SEO suites · Ahrefs / Semrush | AI monitors · Profound / Peec / Otterly | AI Rankia Links | |
|---|---|---|---|
| Backlink + DR / traffic data | ● core | — none | ● inherited |
| Knows what AI cites about your brand | — no concept | ● diagnoses it | ● from AI Rankia |
| Query fan-out → ranking SERPs | — manual gap tool | — not surfaced | ● native |
| Tells you which link to BUY | — you decide | — "fix it yourself" | ● ranked shortlist |
| Cross-marketplace buyable inventory | — not its job | — not its job | ● 1.3M+ offers |
| Closes loop · measure → action | — outreach manual | — theater (no action) | ● buy button inline |
| Typical monthly cost | $99–$199/mo | $89–$499/mo | $99/mo addon · any AI Rankia plan |
Profound tells you you're invisible in AI. Ahrefs shows you backlink data. Neither tells you which link to buy to fix it — that's the moat.
Backlink + AI-citation work is a real team: an SEO Link-Building Specialist, an Outreach Specialist, a Backlink Analyst, a Digital PR Specialist and an SEO Account Manager. Salaries below are 2026 US market rates — Links runs all five for you.
Per brand scan · 20 keywords × top-10 SERPs ≈ 200 domains to vet.
The product runs all five roles for you — ~170× cheaper per scan.
Every scan runs keyword/prompt resolution, fan-out expansion, SERP capture, backlink discovery and a cross-marketplace match — each phase is a role a team would otherwise staff. A 5-role link desk takes ~16 hrs. This takes 30 seconds.
GEO: brand from AI Rankia. SEO: keyword paste. Per-prompt / per-fan-out scoping.
Resolve the AI fan-out sub-queries — Google’s own pre-AI-Overview mechanic. 30-day cache.
Top Google organic per fan-out. Each ranker becomes a candidate purchasable domain.
Optional: the sites linking to those rankers — deep niche signals already promoting your topic.
1.3M+ offers across 330k+ publishers. Only buyable matches surface, cheapest offer attached.
A ranked, de-duped shortlist with DR · traffic · marketplace · price and a Buy button per row.
A $99/mo add-on to any AI Rankia workspace — cheaper than one hour of the team it replaces. SEO-only? Paste keywords out of the box.