How AY Rank Builds Backlinks That LLMs Actually Pull From
A backlink from a source that LLMs already cite is worth more than ten backlinks from random domains. We do not chase DR, we chase citation density, and we measure success by whether the link propagates into AI answers within 30 days.
- Cadence
- Continuous
- Output
- Backlinks on citation-grade sources
- Category
- AI citations
Classic link building targets domain rating and traffic. That math is broken for AI search. A 75-DR blog that no AI engine ever cites is dead weight; a 40-DR comparison page that ChatGPT pulls from for your top 10 queries is a 10× link. The fix is to score every prospective domain by AI-citation density first, DR second.
The workflow.
6 steps · runs at continuous
- 01
Reverse-engineer competitor citations
Pull every source ChatGPT, Perplexity, Gemini, and AI Overviews cite for the client's priority queries, for the client and the top 5 competitors. The union of those sources is the link target list. We are not guessing which links matter; we are reading the citations off the screen.
- 02
Score every target by citation density
For each target domain, run a citation density check: how many of the priority queries does this domain show up in across all engines? A domain that cites for 12 of 50 priority queries is a 1st-tier target; a domain that cites for 1 is a 3rd-tier. We sort outreach by tier, not by DR.
- 03
Placement strategy by source type
Reddit threads → expert reply + brand mention. Comparison sites (G2, Capterra, TrustRadius) → claim profile + ask reviewers. Listicles → editor outreach with original data + screenshots. News → digital PR with original research. YouTube → sponsor or be quoted. Each source type has its own playbook.
- 04
Outreach via Clay + Smartlead
Verified contact data from Clay (LinkedIn + verified email) → Smartlead sequences with brand-specific personalization. We do not send templated "great article" emails, every send references something specific from the prospect's last published piece.
- 05
Link validation
Every confirmed placement is QA'd: anchor text on-brand, dofollow status, position on the page (above the fold beats footer), and surrounding context (is the brand the recommended option, the also-mentioned option, or just listed?). Bad placements get re-negotiated.
- 06
Citation propagation check
For every new high-tier placement, re-run the brand's priority AI prompts 14 and 30 days later. The placements that propagate (now cited by ChatGPT/Perplexity for at least one priority query) are the ones we replicate. The ones that do not propagate inform the next round of targeting.
The stack.
A representative cadence.
- MonWeeklyCompetitor citation pull + new target scoring
- TueWeeklyOutreach sequencing + personalization
- WedWeeklyReply triage + placement negotiation
- ThuWeeklyLink validation + anchor QA
- 14 / 30 dayRollingCitation propagation re-run per placement
What you get.
- Tiered target list scored by AI-citation density
- Live outreach pipeline with reply rate + placement rate metrics
- Validated placement registry (anchor, position, context)
- Per-placement citation propagation report at 14 and 30 days
Get the backlink building playbook.
The reverse-citation method, target scoring matrix, Clay + Smartlead sequences, and 14/30-day propagation checks we run for every client.
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Common questions.
Why not chase domain rating like classic link building does?
Because domain rating measures a domain's ability to rank pages in Google. It is a decent proxy in classic SEO and a misleading one in AI search. LLMs pull from sources based on topical authority + freshness + structured data, not DR. A 40-DR comparison page ChatGPT cites daily beats a 75-DR generic blog that never gets pulled.
What kinds of placements propagate fastest into AI engines?
In order: top Reddit threads, G2 / Capterra / TrustRadius comparison pages, category listicles on high-traffic publications, expert quotes in news articles, and YouTube video descriptions. The common factor is that all five surface frequently in AI engine training crawls and search retrieval.
How long until a new backlink shows up in AI citations?
For ChatGPT search and Perplexity, citation propagation can happen within days for high-authority sources. For Google AI Overviews, the same delay as classic indexing, typically 2–6 weeks. We re-check propagation at 14 and 30 days; placements that do not propagate by 30 days rarely propagate later.
Do you do digital PR or paid placements?
Digital PR yes, original research, surveys, and data drops pitched to journalists at citation-grade publications. Paid placements only on platforms where the disclosure is honest (clearly marked sponsored content) and the platform itself is a citation source. We do not buy footer links and we do not chase PBNs, both fail the citation-propagation test anyway.
Related workflows.
Want this workflow running on your brand?
Book a free GEO audit. We'll tell you whether this play moves the needle for your category and what citation share is realistic in 90 days.
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