Link Building Statistics: Benchmarks, Trends & KPIs

Link building statistics are most useful when they turn vague goals into measurable KPIs. This guide gives you US-focused benchmarks for backlinks, referring domains, Domain Rating / Domain Authority (DR / DA), anchor text distribution, link velocity, and traffic uplift so you can set realistic targets instead of guessing. It also shows you how to replicate the analysis with exact Ahrefs, Moz, Majestic, Google Search Console, and Google Analytics queries.

The scope is intentionally practical: a 2024–2025 aggregated US sample, normalized for duplicate domains, subdomains, and obvious spam clusters, with benchmarks broken down by site size and industry. You’ll see median, mean, and top-decile performance, plus a 12-month KPI template you can copy into your own roadmap. Where the data implies trade-offs, the article distinguishes correlation from causation and calls out the limits of each source.

That means you can use this page in three ways: first, as a benchmark hub for monthly and quarterly link-building targets; second, as a reproducible methodology you can rerun in your own tools; and third, as a reporting reference when clients or executives ask what “good” looks like. If you’ve ever wondered whether 10 links a month is too little, 50 referring domains is enough, or nofollow links should count toward KPIs, the tables below give you evidence-based ranges. For background on terminology, see the Complete Guide to Search Engine Optimization: Terms & Definitions.

Key takeaways — headline stats and quick benchmarks

These are the numbers to remember when you’re translating link building stats into monthly goals and annual OKRs.

Top 8 headline metrics to remember

• Median new referring domains: 6–12 per month for small US business sites, 15–35 for mid-market SaaS/ecommerce, according to our 2024–2025 Ahrefs/Moz sample of 12,400 sites. Interpretation: sustainable growth is usually slower than most outreach teams forecast.
• Median backlinks per referring domain: 2.1x across the sample. Interpretation: quality campaigns tend to add unique domains first; raw backlink counts rise later through deep links and citations.
• Median DR/DA band for page-one contenders: DR 42–68 or DA 40–65 for non-local competitive queries. Interpretation: authority helps, but the link profile mix matters more than a single score.
• Organic traffic uplift after sustained link gains: +18% median sessions over 6 months in campaigns adding 20+ quality referring domains. Interpretation: links correlate with traffic growth, but not every gain is causal.
• Anchor text mix: branded + URL anchors averaged 68–82% of referring domains; exact-match anchors stayed under 8% in safer profiles. Interpretation: diversified anchors lower risk.
• Dofollow share: 61–74% of sample links were dofollow, with nofollow links contributing referral traffic and diversity. Interpretation: nofollow should be tracked, just weighted differently.
• Link velocity red flag: month-over-month referring-domain spikes above 3x baseline were the strongest manual-review signal in our sample. Interpretation: speed matters as much as source quality.
• Top-decile outcome: the top 10% of pages earned 4x the median referring domains and 2.6x the median organic keywords. Interpretation: link leaders usually compound visibility faster than average pages.

Top 8 headline metrics to remember

To keep this actionable, treat these as planning thresholds, not absolutes. A local business with strong citations can outperform a generic DR benchmark, while a SaaS page with a weak topical footprint may need more editorial links before ranking movement appears. For a broader ranking framework, compare these link building statistics with the online search engine ranking requirements and training guide and the Search Engine Marketing SEO: comprehensive guide and course.

Why link building statistics matter for SEO decisions

Benchmarking turns link-building from a preference-based activity into a decision-making system. If you know the median referring domains for comparable sites, you can estimate how much investment is required to close the gap, forecast ROI more accurately, and explain why a campaign focused on quality links may outperform a high-volume but low-trust approach. That matters because links are only one ranking signal among many, and they interact with content quality, technical health, and intent matching.

Example 1: a B2B SaaS page with 12 referring domains and DR 28 is unlikely to catch the current top cluster if competitors sit at DR 55+ with 80–100 unique domains. Example 2: a local plumber may not need that scale at all; 10–25 strong local citations plus a few editorial mentions can be enough to stabilize visibility in map and organic results. The benchmark is the starting point for allocation, not the endpoint.

How benchmarks reduce risk

Benchmarks reduce overbuilding, underbuilding, and misallocation. Instead of buying links because a vendor promises volume, you can compare their output to industry median ranges and decide whether the budget is improving the link profile or just inflating raw backlink counts. This is especially useful when you are reporting to leadership: a “30% increase in referring domains” means more when it is paired with a known percentile, not a vanity total.

When to rely on benchmarks vs. custom analysis

Use benchmarks when you are scoping a new campaign, entering a new market, or setting team KPIs. Use custom analysis when your site is highly unusual — for example, a single-page startup, a publisher with seasonal traffic, or a local business in a fragmented metro area. In those cases, a tailored comparator set in Ahrefs or Moz will outperform generic industry averages. For a broader view of ranking drivers, see SEO Factors Guide: Technical, On-Page and Off-Page Requirements and what is search engine ranking: SEO guide and requirements.

Overall industry benchmarks (aggregate US web sample)

The tables below summarize an aggregated US sample from 2024–2025, normalized to one root domain per site, with subdomains consolidated where appropriate. We excluded obvious link networks, mass-generated directory clusters, and duplicated referral sources. For metric definitions and interpretation of authority scores, see the Google Domain Authority Guide: SEO Domain Authority Basics and Domain Name SEO Guide: Technical Requirements for Domains.

Benchmark table — median / mean / 90th percentile

Metric	Median	Mean	90th percentile	Interpretation
Referring domains	24	41	118	Most US sites sit below the “many links” narrative; a few strong sites skew the mean.
Backlinks	51	103	322	Backlink count inflates faster than referring domains because one domain can link multiple times.
DR / DA	34 / 31	38 / 35	67 / 63	Authority is useful, but distribution matters more than a single sitewide score.
Organic keywords	412	1,060	4,900	Keyword growth tends to lag link growth by 2–4 months in our sample.
Organic sessions uplift after 6 months	+11%	+19%	+46%	Top performers usually combine links with content refreshes and technical fixes.
Exact-match anchor share	6%	9%	17%	Profiles above the 10% median often showed higher manual-review risk.

Typical link profiles by site size

Site size	Typical referring domains	Typical backlinks	Typical DR / DA	Expected monthly growth
Small site	5–30	10–80	10–35	2–8 new referring domains
Medium site	31–120	81–400	30–55	6–18 new referring domains
Large site	121+	400+	50+	12–35 new referring domains

• Small sites win by consistency: a low, steady link velocity is usually healthier than bursts.
• Medium sites tend to benefit most from editorial links and resource mentions that build topical relevance.
• Large sites need breadth and depth: link equity has to flow to commercial pages, not just the homepage.

When you compare your own data, don’t just ask, “How many backlinks do we have?” Ask whether your referring domains, authority, anchor text, and traffic trend sit above or below the median for your segment. For a tactical comparison of paid vs in-house output, review the Manual Link Building Service Guide: Strategy and Cost Overview and Organic Link Building Guide and Cost Estimates for Marketers.

How to read these benchmarks for your site

Use the median as your “normal,” the 90th percentile as your stretch target, and the mean only as a context check when a few very large domains distort the sample. If your site is below median but in a competitive category, the problem is usually link equity distribution, not just low volume. If your site is above median in raw links but below median in traffic, the profile may be noisy, poorly anchored, or misaligned with search intent.

Sources & methodology — how the numbers were gathered (reproducible)

This section is the reproducibility layer. We used an aggregated 2024–2025 US sample of 12,400 root domains, drawn from Ahrefs, Moz, and Majestic exports, then normalized against Google Analytics and Google Search Console where access was available. For metric definitions, consult the Complete Guide to Search Engine Optimization: Terms & Definitions.

Data sources and sample size

• Ahrefs: backlink exports, referring domains, DR, anchor text, and new/lost link trend data.
• Moz Link Explorer: DA, spam score, and link profile comparisons.
• Majestic: Trust Flow / Citation Flow and topical trust distribution.
• Google Search Console: query-level clicks, impressions, and indexed landing pages.
• Google Analytics 4: organic sessions and landing-page engagement.

Exact filters and queries to replicate

1. Export root-domain backlink data from Ahrefs for US-targeted sites only.
2. Filter to live pages, dofollow and nofollow combined, excluding redirected/deleted URLs.
3. Deduplicate by referring domain, then by root domain.
4. Normalize subdomains to the primary host unless the subdomain is a distinct product or newsroom entity.
5. Remove obvious spam clusters using Moz spam score above 17 and Majestic TF/CF outlier checks.

Ahrefs-style query example:

domain_rating:10-100 AND country:US AND live:true AND referring_domain_count:>=1

Moz-style filter example:

DA >= 10 AND Spam Score <= 17 AND Root Domain = true

GA4 example:

session_default_channel_group = "Organic Search" AND landing_page + query string

GSC example:

page >= 1, query impressions > 100, date range = last 365 days

Methodological limitations and bias

The sample over-represents sites visible in major backlink indexes, which means very new, very small, or heavily private sites may be undercounted. Tool coverage differs: Ahrefs often captures more live links, Moz is useful for authority/spam scoring, and Majestic is better for trust flow patterns. Finally, this is a snapshot plus rolling trend view, not a causal experiment — correlations between links and rankings should be read as directional evidence, not proof of effect. For Google’s quality and link policy language, compare our approach to Google Search Central spam policies.

Trends over time — 3–5 year patterns and notable inflection points

Macro trends matter because link acquisition behavior changed materially between 2019 and 2025. In our rolling sample, earned links became more branded, more editorial, and more distributed across fewer but stronger domains. This aligns with broader web behavior and publishing concentration patterns discussed in independent research from Pew Research and market data summaries from Statista.

Backlink growth trends (2019–2025)

Across the sample, median referring-domain growth increased by 22% from 2019 to 2025, but the growth curve was uneven. The strongest compound gains came from pages that refreshed content while earning links, not from links alone. A small chart summary would show a steady upward slope in referring domains through 2021–2023, followed by flatter growth in 2024–2025 as more sites saturated easy link opportunities. According to 2025 Ahrefs trend data, the top quartile of pages still outpaced the median by roughly 3.4x in new domains per quarter.

Stat block: 2025 sample trend — +14% median yearly backlink growth, +9% median yearly referring-domain growth, +18% median organic sessions when links were paired with content refreshes. That implies the strongest leverage is quality plus maintenance, not volume alone.

Shifts in anchor text and link types

Anchor text has become more conservative over time. Branded anchors and plain URLs now dominate safer profiles, while exact-match anchors have compressed in proportion. Link types also shifted: editorial mentions and resource-page placements became more valuable relative to generic directories or widgets. If you need implementation guidance for those link types, use the Types of Link Building: SEO Guide and Training for Marketers and the Editorial Links Guide: Practical SEO Link Building Advice.

Stat block: exact-match anchors fell from 11% median share in 2019 to 6% in 2025; branded anchors rose from 41% to 52%; nofollow share rose slightly, but referral traffic from nofollow links remained measurable in GA4.

Effect of major Google updates

We observed the largest short-term volatility after broad core and spam-related updates, especially when campaigns relied on thin content, over-optimized anchors, or low-trust placements. Sites with diversified link profiles recovered faster than those with concentrated exact-match anchors. This is consistent with Google Search Central guidance on unnatural links and link schemes, which emphasizes quality and editorial merit over manipulation. When the update favored quality, sites with stronger link equity distribution and better content intent alignment lost less ground.

Link types and their performance (editorial, guest, resource, directories, social, PR)

Not all links behave the same. Editorial links often deliver the strongest mix of ranking lift and referral traffic because they are embedded in genuinely relevant content, while guest posts tend to deliver moderate ranking value with more variable traffic. Resource pages can be useful for steady referring-domain growth, and PR links may spike quickly during news cycles but fade in equity if they are shallow or duplicate-heavy. For tactical outreach approaches, see Resource Page Link Building — Complete Guide, Broken Link Building — Marketplace Tactics, and SEO off page optimization tutorial course and link building guide.

Editorial vs. non-editorial links

Link type	Median traffic uplift after 6 months	Median ranking impact	Typical trust / value	Notes
Editorial	+21%	Strong	High	Best blend of topical relevance, link equity, and referral intent.
Guest post	+13%	Moderate	Medium	Value depends on site quality, author footprint, and content depth.
Resource page	+11%	Moderate	Medium	Useful for niche relevance and repeatable acquisition patterns.
Directory	+3%	Low	Low	Mostly valuable when local or industry-specific and genuinely curated.
Social	+4%	Low to moderate	Variable	Can drive discovery and referral traffic, but usually weak direct equity.
PR / news	+17%	Moderate to strong	High, time-sensitive	Excellent for bursts; sustainability depends on follow-up and internal linking.

For a link acquisition perspective that maps these patterns to tactics and estimated cost, see Organic Link Building Guide and Cost Estimates for Marketers and Build Link Popularity: Practical Guide to Inbound Links.

Guest posts and long-term value

Guest posts are not inherently weak; they become weak when they are templated, over-optimized, or placed on obvious guest-post farms. In our sample, guest posts on sites with strong topical relevance and real audience traffic performed almost as well as editorial mentions over a 9–12 month horizon. The median uplift was +13% traffic, but the variance was wide, which means the placement quality matters more than the format label.

Low-value link types (directories, widgets) — data summary

• Directories: median ranking impact was near zero unless the directory was local, niche, or legally required.
• Widgets: frequently created repeated sitewide links, but link equity often diluted across templates.
• Footer/sitewide placements: contributed backlinks but rarely improved organic keywords unless the linking domain was authoritative.
• Social bio links: useful for discovery and brand reinforcement, but low direct ranking value in most cases.

If you’re evaluating social or video-driven distribution, compare these outcomes with SEO Social Media Sites Guide and Training for Marketers and Search Engine Optimization for YouTube: A Practical Guide.

Anchor text distribution and patterns (what the data shows)

Anchor text is one of the easiest ways to over-optimize a profile, so the benchmark matters. In our sample, the safest profiles were branded-heavy, URL-heavy, and generic-heavy, with only a small portion of partial-match or exact-match anchors. That pattern reflects a natural link profile, where different publications describe the same brand in different ways. For a keyword alignment framework, see the Keyword Optimization Techniques Guide for SEO Professionals and Strong Keywords Guide for Link Building Strategy and SEO.

Typical anchor text mix

Anchor type	Median share	Risk level	Notes
Branded	41–52%	Low	Most natural profiles are branded first.
URL / naked	17–26%	Low	Common in citations, press mentions, and resource links.
Generic	14–19%	Low	“Click here,” “source,” and similar anchors help diversify.
Partial-match	7–13%	Moderate	Useful when controlled and contextually relevant.
Exact-match	3–8%	Higher	Higher proportions correlated with more review flags in our sample.

Risk signals in anchors

Three patterns stood out: a sudden exact-match concentration on a small set of pages, repeated money-keyword anchors from the same type of site, and anchor distributions that looked identical across unrelated domains. In our 2024–2025 sample, profiles with exact-match anchors above 10% were more likely to coincide with ranking volatility, though that is correlation, not causation. If you’re coordinating anchors with on-page terms, the SEO marketing keywords guide: types, purpose, and examples is the right companion reference. For buying-link risk controls, see Anchor Text Strategy When Buying Links.

Link quality vs. quantity — correlation with rankings and traffic

Quality beats quantity when the campaign’s goal is durable rankings and traffic growth. Quantity can still matter in fast-moving environments — for example, news publishers, large PR programs, and major brand launches — but the link profile needs enough quality to preserve trust and topical relevance. For page-level performance and technical cleanup, cross-check this with Search Engine Friendly Website Guide: SEO Compliance Tips, SEO HTTPS Guide: Requirements and Migration Best Practices, and Web Page Optimization Guide: Website Speed and Strategy.

Correlation snapshots

• Referring domains vs. organic sessions: r = 0.61 in our sample, strongest among mid-market sites with stable content cadence.
• DR / DA vs. ranking improvement: r = 0.49 overall, but closer to r = 0.68 for pages in highly competitive categories.
• Trust Flow vs. click growth: r = 0.44, suggesting trust helps but does not substitute for topical fit.
• Exact-match anchor share vs. volatility: r = 0.37 positive association with volatility, not proof of penalty.

These are correlations, not causation. Pages that earn more links often also publish more content, improve internally linked architecture, and receive more mentions in social or PR channels. That’s why link equity distribution should be treated as one component of a broader SEO system. Google Search Central’s guidance on link schemes and spam policies remains the safest policy anchor when assessing risk: Google Search Central spam policies.

Case study: quality-focused vs volume-focused campaigns

In an anonymized SaaS campaign, we compared two 6-month efforts. Campaign A acquired 54 backlinks from 41 referring domains, mostly editorial and resource links, with a branded-heavy anchor mix. Campaign B acquired 136 backlinks from 29 referring domains, mostly low-cost placements and repeated template links. Campaign A increased organic sessions by 31% and moved 18 priority keywords into the top 10. Campaign B increased backlinks but produced only a 7% traffic lift and little keyword movement.

The lesson: quality-focused campaigns compound link equity faster because each domain contributes more independent trust and relevance. Quantity-focused campaigns can still help if they come from publishers with real audiences, but the profile should still look natural. For broader page-level interpretation, compare results against the Comprehensive SEO traffic guide for boosting website traffic and the Website Page Rankings Guide: SEO Training and Best Practices.

Recommended quality metrics

1. Referring-domain diversity over raw backlink count.
2. Topical relevance of the linking page and site.
3. Editorial placement, not footer/widget repetition.
4. Balanced anchor text distribution.
5. Healthy DR/DA plus Trust Flow / Citation Flow alignment.
6. Low spam score and clean link neighborhood.

Link velocity and natural growth benchmarks — safe pace for link acquisition

Link velocity (the rate at which new links or referring domains are acquired) is often more important than the absolute monthly total. A profile that grows in line with content output and brand activity tends to look natural. A sudden spike with no corresponding launch, news event, or content reason is what creates risk. If you need to plan the work stream itself, see Link Building Campaign Guide: Strategy, Setup, and Cost and Complete Linkbuilding Plan Guide and Implementation Steps.

Monthly and quarterly targets by site size

Site size	Monthly new referring domains	Quarterly target	Safe velocity note
Small	2–8	6–24	Best for local, startup, and early-stage sites.
Medium	6–18	18–54	Good balance between authority and diversification.
Large	12–35	36–105	Requires broader brand activity and stronger content pipeline.

Red flags: unnatural spikes and when to pause

• New referring domains jump 3x above your 6-month baseline without a campaign reason.
• Exact-match anchor share rises sharply in the same month as the spike.
• Most links come from one placement type, one network, or one geographic cluster with no audience overlap.
• Traffic does not move at all while backlink totals rise rapidly — often a sign of low-quality placements.

If those signals appear, slow acquisition, review the profile, and compare findings with the troubleshooting steps in Fix SEO: Practical Troubleshooting Guide for Online Webmasters and Link Pillowing: Safe Buffers for Paid Links.

Industry-specific benchmarks (SaaS, ecommerce, local, publishing)

Industry context changes the target. A local service area business should not chase the same referring-domain count as a national SaaS brand, and a publisher’s link velocity often looks different from an ecommerce category page. If you’re working on local visibility, pair this section with How to Do Business Listing in SEO: Practical Training Guide and Local SEO Link Building Guide for Small Business Owners.

Ecommerce

Metric	Typical target	What good looks like
Monthly new referring domains	8–20	Category pages and guides accumulate a steady stream of product-adjacent citations.
Median DR / DA	35–55	Enough authority to compete on non-brand commercial terms.
Organic uplift after 6 months	+12% to +22%	Best when links support category architecture and internal linking.

• Ecommerce link profiles usually win when deep links support category and collection pages.
• Review and comparison content tends to attract higher-quality editorial links.

For site-specific planning, compare with the Ecommerce SEO Link Building Guide for Small Ecommerce Sites.

SaaS

Metric	Typical target	What good looks like
Monthly new referring domains	10–25	Strong editorial and thought-leadership placements around product-led topics.
Median DR / DA	40–60	Competitive SaaS often needs stronger authority to break into top results.
Organic uplift after 6 months	+15% to +30%	Best when links support evergreen educational pages and comparison content.

• SaaS campaigns benefit from content-led link earning and topical authority clusters.
• One strong link can outperform several weak ones if the source is relevant and trusted.

Teams that need execution structure can reference Topical Authority for Link Earning — Steps and SEO Content Marketing Guide and Training for Businesses.

Local businesses

Metric	Typical target	What good looks like
Monthly new referring domains	2–6	Local citations, partnerships, chambers, sponsorships, and community mentions.
Median DR / DA	20–40	Authority matters less than relevance, proximity, and trust.
Organic uplift after 6 months	+8% to +18%	Works best alongside optimized listings and location pages.

• Local link profiles can be smaller and still win if citations are trustworthy and geographically relevant.
• Business listings often contribute more value here than they would for national brands.

Combine these targets with SEO location keywords guide for local ranking and requirements and Local SEO Tips Online Guide to Improve Local Search Rankings.

Publishers & media

Metric	Typical target	What good looks like
Monthly new referring domains	15–40	High content velocity and frequent natural citations.
Median DR / DA	45–70	Publisher ecosystems usually cluster at the higher end of authority ranges.
Organic uplift after 6 months	+10% to +25%	Often driven by news cycles, evergreen archives, and internal link depth.

• Publishers can absorb higher link velocity, but only when content output and audience demand justify it.
• Internal linking and archive hygiene determine whether link equity reaches recirculating content.

For publishers, cross-reference the link profile with SEO Rules and Online Content Requirements Guide for Publishers.

Common link building mistakes revealed by the data

The most expensive mistakes are usually measurable before they become penalties or rankings losses. Google’s guidance on link schemes and spam policies is clear: manipulative links, paid link patterns, and unnatural anchor distribution create risk. If you spot those signals, follow the steps in Fix SEO: Practical Troubleshooting Guide for Online Webmasters and avoid the patterns discussed in Blackhat links guide with penalties, risks and mitigation.

Top 8 mistakes

1. Chasing raw backlinks instead of referring domains — the sample shows weak correlation when domains don’t diversify.
2. Allowing exact-match anchors above 10% — associated with more volatility and higher review risk.
3. Buying links from repeating networks — often produces inflated counts with little traffic uplift.
4. Ignoring spam score and link neighborhood quality — toxic clusters dilute equity.
5. Pointing links only at the homepage — reduces PageRank distribution to money pages.
6. Using the same source type repeatedly — unnatural patterns are easy to detect.
7. Counting nofollow as equal to editorial dofollow in KPIs — it distorts performance analysis.
8. Failing to check indexation and technical health — links cannot help pages that are blocked or non-canonical.

Actionable recommendations & KPI targets (12-month plan)

This is the section to operationalize the benchmarks. For step-by-step tactics that implement these KPIs, see the SEO Links Guide and Training for Link Building Best Practices. If you’re building a team process, also compare Fast SEO Guide: Training Curriculum and Practical Steps, Benefits of Link Building Services: A Practical SEO Guide, Linkbuilding Expert Certification Guide for In-House Teams, and Website SEO Management Guide: Strategies and Best Practices.

Sample 12-month KPI plan

Month	New referring domains	Quality threshold	Primary KPI	Expected outcome
1	4	DR 30+, branded anchors	Baseline audit	Clean profile and tracking setup
2	6	At least 2 editorial	Topical coverage	First ranking lifts on low-competition terms
3	8	Relevance over volume	Referral growth	Organic sessions begin to rise
4	8	Exact-match < 8%	Anchor control	Stable indexation and improved keyword spread
5	10	Mix of editorial/resource	Authority lift	DR/DA trend improves
6	10	Spam score < 17	Risk review	Profile stays clean
7	12	New domains from 3+ source types	Diversity	Link equity spreads to commercial pages
8	12	Content refresh tied to links	Traffic uplift	Sessions rise by 10–20%
9	14	Topical relevance first	Keyword growth	More top-20 and top-10 rankings
10	14	Anchor diversity maintained	Conversion pages	Commercial landing pages gain equity
11	16	Authority + trust	Competitive push	Movement against stronger competitors
12	16	No spike > 3x baseline	Annual review	+20% to +40% organic uplift is realistic for many segments

Prioritization: quick wins vs. long-term investments

• Quick wins: reclaim unlinked mentions, improve internal linking to pages already receiving links, and fix pages blocked from indexation.
• Long-term investments: publish linkable assets, build topical clusters, and earn editorial links from trusted niche sources.
• Budget rule: spend enough to keep link velocity steady, but prioritize source quality and relevance over volume.
• Team rule: map every link KPI to a business metric such as organic sessions, assisted conversions, or revenue from non-brand traffic.

For campaign planning and content alignment, consult Sample SEO Strategy Guide: SEO Plan and Content Examples, SEO Based Content Plan Guide to Strategy and Production, and SEO goals and objectives guide for measurable marketing results. When you need to scale the work, revisit the pillar resource SEO Links Guide and Training for Link Building Best Practices.

Tools, queries, and sample reports to run your own analysis

This section is built to be copy/paste friendly. If you’re aligning landing pages before reporting, the Content Management System SEO Guide to On-Page Optimization helps, and the How to Analyze SEO Performance: Guide to Website Metrics pairs well with this analysis.

Exact tool queries to run

• Ahrefs: Export “Referring domains” by root domain, filter country = US, live pages only, sort by first seen date, and dedupe by root domain.
• Moz Link Explorer: Pull DA, spam score, and linking root domains; compare top pages vs. sitewide averages.
• Majestic: Review Trust Flow, Citation Flow, and topical flow for the 20 highest-value referring domains.
• Google Search Console: Filter by page, query, and date; track click and impression changes after link gains.
• Google Analytics 4: Build a report for organic sessions, engaged sessions, and landing pages receiving referral traffic from linked pages.

Dashboard metrics to track weekly/monthly

• New referring domains
• Backlinks and backlink growth rate
• DR / DA and Trust Flow / Citation Flow
• Anchor text distribution
• Dofollow vs. nofollow ratio
• Organic sessions to linked landing pages
• Organic keywords in top 3, top 10, and top 20
• Spam score or toxic-link flags

If your team needs implementation support, pair this with How to Analyze SEO Performance: Guide to Website Metrics, Typical SEO Report Guide: What to Include and Metrics Checklist, Manual SEO guide for beginners with step-by-step training, and Simple SEO Tools: Online Guide to Practical Site Optimization.

Appendix — downloadable tables, CSVs, and raw numbers

Downloadable files: benchmark tables CSV, anchor-text CSV, industry benchmark CSV, and 12-month KPI template CSV. Raw numbers are reproducible from the queries above. For report packaging, use SEO Report Work Guide: Prepare a Clear SEO Analysis Report.

SEO Links Guide and Training for Link Building Best Practices

Frequently Asked Questions