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Moz integration for link building

Moz Integration for Link Building: Prioritize Tasks

Most agencies use Moz the same way they use a phone book: open Link Explorer, sort competitor backlinks by Domain Authority, copy the top 200 into a spreadsheet, hand it to an outreach specialist. Three weeks later you have 400 sent emails, four replies, and one placement on a DA 31 blog nobody reads.

The problem isn't Moz. It's that DA-sorted lists aren't prioritized lists. A proper Moz integration for link building pulls the metrics into the system where work actually happens, scores prospects against how your team wins links, and turns changes in your link profile into tasks that appear on someone's board without a human noticing them first.

What a Moz integration actually gives you

The Moz Links API exposes a handful of endpoints that matter for prioritization work. You don't need all of them:

Billing is metered in rows. One URL Metrics call on one URL is one row. A 12-client agency checking 200 prospects per client per month, plus weekly lost-link sweeps on each client domain, sits somewhere around 3,000–5,000 rows monthly. That's a real number to plan against — batch your requests, cache metrics for 30 days, and only refresh for domains that reach outreach stage.

Why DA-sorted prospect lists waste hours

Sorting by DA optimizes for one variable and ignores the four that actually determine whether a link happens: relevance, contactability, editorial posture, and effort. We tracked outreach across a 9-month period at one agency and the pattern was consistent:

At a blended $85/hour internal cost, a DA 75 link costs roughly $935 in labour and a DA 45 link costs $382. If the client retainer allocates $2,000/month to link building, the DA-first list buys you two links. The scored list buys you five, three of which are topically closer to the money pages.

The fix isn't to chase low DA. It's to stop treating DA as the sort key and start treating it as one input in a score.

Build a link priority score from Moz fields

The five inputs

Every prospect gets a 0–100 score. Weight these to match how your team actually wins links — a digital PR team and a niche-edit team should not use the same weights.

  1. Authority fit (30%) — not raw DA. Score highest inside your client's productive band. For a DA 38 SaaS client, the band might be 30–65: a DA 55 prospect scores 30/30, a DA 82 scores 12/30, a DA 18 scores 6/30.
  2. Topical relevance (30%) — manual or classifier-assigned, 0–3 scale. A DA 30 industry publication beats a DA 65 general lifestyle blog almost every time.
  3. Spam Score inverse (15%) — Spam Score 0–4 gets full marks, 5–7 halves it, 8+ zeroes the whole prospect regardless of other inputs.
  4. Link economy (15%) — external links per page and whether the domain has added new linking root domains in the last 90 days. A site with 400 external links on a single page is a link farm wearing a blazer.
  5. Contactability (10%) — named author, working contact form, active social. Costs nothing to check and predicts reply rate better than DA.

Turning scores into tiers

Scores are only useful if they map to a decision. Three tiers is enough:

Four automation triggers worth building

Once Moz data lives in your project system, you can stop running manual audits and let the data create the work.

1. Lost link reclamation

Pull Lost Links weekly per client. Any lost link where the source page PA is 25 or higher auto-creates a task: "Reclaim: [source domain] → [target URL], PA 31, lost 4 Feb", assigned to outreach, due in 5 days. Reclamation converts at 20–35% in our experience versus 5–8% for cold prospecting, and it takes about 15 minutes per attempt. It is the cheapest link you will ever build, and almost every agency discovers these losses two months late during a quarterly audit.

2. Competitor gap refresh

Monthly, pull Linking Root Domains for three competitors, subtract your client's existing referring domains, score the remainder. Anything scoring Tier A drops straight into the prospect queue with the competitor's linking page attached as context. Ten minutes of setup replaces a half-day analyst task.

3. Authority drift alerts

If a client's DA drops 3+ points

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Frequently asked questions

Can I connect Moz to my project management tool?

Yes, through the Moz Links API. Most agencies either use a native integration in an SEO-aware PM tool or pipe URL Metrics and Lost Links data through a scheduled script or automation platform that creates tasks. The key is mapping Moz fields (DA, PA, Spam Score, linking root domains) to task properties you can sort and filter.

What Domain Authority should I target for link building?

For most mid-market clients, the productive band is DA 25–65. Below 25 the link rarely moves anything unless the site is hyper-relevant; above 70 your reply rate typically drops to 1–2% and each placement can cost 8–12 hours of outreach. Set the band per client rather than using one global threshold.

What Spam Score is too high to pursue?

Treat Spam Score 1–4 as normal, 5–7 as review-before-outreach, and 8+ as auto-reject unless the site is a well-known publication with an odd footprint. Spam Score is a similarity signal, not a penalty flag, so always eyeball borderline domains before you disqualify a genuinely relevant prospect.

How many Moz API rows does an agency actually need?

One URL Metrics lookup equals one row. A 12-client roster running 200 prospects per client per month plus weekly lost-link checks lands around 3,000–5,000 rows monthly. Batch requests, cache metrics for 30 days, and only re-pull for domains you actually contact.

Nick Quirk

Written by Nick Quirk

Founder of PeakKR

Nick Quirk is the founder of PeakKR, the agency workspace. He has spent decades running SEO and operations for marketing agencies, and writes about what holds up in real client work: technical audits, reporting, local campaigns, retainers and the systems behind them.

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