Which backlinks should we earn, keep, or ignore?

This is a backlink and authority question — the kind that usually shows up from sEO manager, digital PR. It rarely has a one-line answer, because the honest version of “Which backlinks should we earn, keep, or ignore” is a shortlist of rival explanations, not a single cause. The job is to work through that shortlist with evidence and stop as soon as one of them is confirmed — not to write a report that mentions all of them.

The rival explanations

Direct answer: A backlink profile decision needs to separate five distinct situations — replicable data/research-driven rival links, irrelevant or expired-domain residue in our own profile, unlinked brand mentions, resource/digital-PR opportunities, and nofollow/UGC traffic that isn't a PageRank play — rather than treating every link the same way.

Treat these as competitors, not a checklist. The point of naming five up front is to stop the first plausible-sounding one from becoming the story before the others have been checked.

• Rival links are earned via data assets, tools, or newsworthy research — replicable.
• A slice of our profile is irrelevant or expired-domain residue.
• The gap is unlinked brand mentions, not a missing link-buy.
• Resource / digital PR pages can attract the same publishers.
• Nofollow / UGC from communities still drives discovery, not PageRank.

What the evidence has to show

Direct answer: New-versus-lost referring domains intersected with the rival set, GSC's own link report classified by relevance, a manual review of how the rival's last 50 links were actually earned, an unlinked-mention search for the brand, and a risk pass for link networks are what tell you which links are worth pursuing versus ignoring.

None of the five above survives on a hunch. Here is what actually needs pulling before any of them can be ruled in or out:

• Ahrefs/Semrush/Moz: new vs lost referring domains, intersection with rivals.
• GSC Links top domains; classify relevance and placement type.
• Manual sample of the rival’s last 50 links (how they were earned).
• Unlinked mention search for the brand and SMEs.
• Risk pass for networks, guest-post farms, and expired-domain footprints.

The decision rule

Direct answer: Pursue only placements you can explain in a quality-rater sentence (why would this publisher cite us?). Do not buy links. Disavow only with a manual action or a concentrated spam network. Measure referring domains in-niche, not raw DR.

What to tell the people around you

Direct answer: The team needs budget for one real data or PR asset plus outreach labour, and an explicit ban on paid guest posts — not a domain-rating target with no plan for how to hit it.

The analysis is not finished until it produces something a non-specialist can act on. That means naming the situation, the cost of getting the first move wrong, and a specific ask — not a summary of the investigation.

• Situation — Authority is a by-product of assets and relationships. The analysis must produce a 90-day earn plan, not a domain-rating target.
• So what — Shortcut link tactics are how Penguin-era damage still happens. Replicable PR is slower and durable.
• The ask — Budget for one data/PR asset and outreach labour. Explicit ban on paid guest posts.

SEO + digital PR. Legal reviews claims in the asset.

How to act on this

1. Pull new-versus-lost referring domains from your link tools and intersect the list with your competitive set to see where the real gap is.
2. Classify GSC's own link report by relevance and placement type rather than treating every referring domain as equally valuable.
3. Manually review how the rival's most recent 50 links were actually earned — this reveals whether the gap is a replicable asset or an unreplicable relationship.
4. Run an unlinked-mention search for the brand and named subject-matter experts to find easy link-conversion opportunities that require no new content.
5. Fund one data or digital-PR asset explicitly designed to be citable, and route all outreach through it rather than generic guest-post pitches.

Frequently asked questions

Should we disavow low-quality links proactively?

No — disavow only with a confirmed manual action or a clear, concentrated spam network. Routine disavowal of ordinary low-authority links is unnecessary and can remove links that were doing no harm.

Is a high Domain Rating on a referring site always a good sign?

Not on its own — relevance and how the link was actually earned matter more than the raw authority number. A high-DR but off-topic link is worth far less than a lower-DR, topically relevant one.

What's an unlinked brand mention, and why does it matter?

It's an existing mention of your brand or a named expert with no hyperlink attached — converting these into links is often the fastest, cheapest link-earning opportunity available, since the publisher already chose to mention you.

Do nofollow or UGC links from forums and communities count for anything?

They rarely pass direct ranking value, but they can still drive real discovery traffic and brand-search lift — evaluate them on that basis rather than dismissing them entirely.

How do we tell a replicable link-earning pattern from a rival's unrepeatable advantage?

Check whether the rival's links came from a genuine data asset, tool, or research (replicable with our own investment) or from long-standing relationships/PR history (not something a single campaign can reproduce).

How do we evaluate a link-building agency pitch?

Ask specifically how they plan to earn the links — if the pitch doesn't name a replicable asset or relationship (data, research, genuine outreach), it likely falls outside what the decision rule considers a legitimate earning pattern.

Do internal links matter as much as this external-link analysis suggests?

They matter for a different reason — internal links distribute authority and crawl priority across your own site, while this analysis is specifically about which external signals to pursue or ignore.

Sources

1. Link building — Ahrefs
2. Learn SEO — Moz
3. Backlink — Wikipedia
4. PageRank — Wikipedia

Where nqzai fits

nqzai runs this same rival-hypothesis framework against your own connected Search Console, Analytics, and audit history, and returns a keep / change / stop decision with the evidence named — including which of the explanations above it could not test, and what to connect to close that gap. No extra cost for the analysis itself; it reads measurements already on file.

Ask nqzai: “Which backlinks should we earn, keep, or ignore?”