Decoding SEO for Global Stores in 2026: The Ultimate Glossary for DA, KD & SERP

Site Authority Metrics: DA, DR, and AS

These three terms get used interchangeably, but they come from three different SEO tools and measure slightly different things.

DA (Domain Authority) is Moz's metric, scored 1–100, incorporating factors like total backlink count and the number of unique referring domains to estimate how competitive a site is likely to be in search results. DR (Domain Rating) is Ahrefs's metric, also 1–100, but weighted more toward the quality of backlinks and the authority of the domains linking in. Two sites can have similar DA scores but very different DR scores. AS (Authority Score) is Semrush's equivalent — you won't see the labels "DA" or "DR" inside Semrush, just AS — but the concept is the same: a composite score meant to estimate overall competitive strength.

The most important thing to understand about all three: none of them are official Google ranking factors. Google has never published an equivalent "site authority score." These are third-party model estimates, useful as relative benchmarks but not directly tied to how Google ranks pages. The same site's DA, DR, and AS can vary considerably from each other — that's expected, because each tool uses different models and different crawl data.

A newly launched independent store typically scores somewhere between 1 and 10 across these metrics. That doesn't mean the site has no value — it means backlinks haven't accumulated yet. The trend over time matters far more than any point-in-time number.

Keyword Difficulty Metrics: KD, Search Volume, and Traffic

KD (Keyword Difficulty) is a tool's estimate of how hard it would be to reach the first page of results for a given keyword, scored 1–100. Ahrefs and Semrush use different calculation methods, so the same keyword can show a KD 10–30 points apart between the two tools — that's normal. Comparing KD numbers across tools is meaningless; the comparison only makes sense within a single tool.

A rough working reference: KD 0–15 is territory new sites can reasonably target; 16–40 requires some domain authority and content quality; 41–70 is competitive and demands solid backlink and brand development; above 70 is where established platforms and high-DR sites compete, and a new site realistically has little chance. Starting out with cross-border store SEO, targeting keywords with KD below 30 and focusing on specific long-tail terms is the more practical approach.

Search Volume is an estimate of how many times a keyword is searched per month. Worth noting that this is searches, not clicks — Google's Featured Snippets, AI Overviews, Shopping ads, and image results all intercept a portion of traffic before users click any organic result. Actual clicks consistently run below search volume.

Traffic is a closer approximation to actual click potential than raw search volume. Both Ahrefs and Semrush calculate an estimated traffic figure that factors in expected click-through rates and SERP features for each keyword. Still an estimate, but generally more useful than looking at search volume alone.

SERP, Search Intent, and CTR: What Actually Determines Whether You Get Traffic

SERP (Search Engine Results Page) is the results page itself — simple concept, but analyzing the SERP for a target keyword is one of the most important steps in SEO work. Search the term and look at what's actually on the first page: are the results blog articles, product pages, videos, or links to major platforms? If the first page is dominated by Reddit threads and community discussions, users searching that term are looking for real human perspectives, not commercial content. If it's product pages and shopping ads, there's purchase intent. Check whether an AI Overview is present — Google is showing AI-generated summaries on an increasing number of queries, and these noticeably reduce click-through rates to the first organic result. The purpose of analyzing the SERP is to understand what users actually want when they search a term, and whether the content type you'd create matches what's already winning.

Search intent breaks into four basic types: informational (wanting to understand something — "what is WooCommerce"), navigational (trying to reach a specific site — "WordPress login"), commercial investigation (comparing options — "Shopify vs WooCommerce"), and transactional (ready to buy — "buy VPS hosting"). Trying to rank a page for keywords whose intent doesn't match the content is an uphill battle. A comparison article aligned to commercial investigation keywords, a product page aligned to transactional keywords — intent matching is foundational to SEO that actually works.

CTR (Click Through Rate) measures what percentage of impressions turn into actual clicks, and is visible directly in Google Search Console for each keyword. Low CTR usually signals one of two things: the title and meta description aren't compelling enough to stand out, or other SERP features (Featured Snippets, AI Overview) are capturing the traffic that would otherwise go to organic results. Improving CTR is among the highest-ROI activities in SEO — no new content required, just revised title wording, and existing ranked pages can see meaningful traffic gains.

CPC: A Useful Signal for Keyword Commercial Value

CPC (Cost Per Click) is the average amount advertisers pay per click in Google Ads. This metric has no direct relationship to organic SEO rankings, but it's a reliable signal of commercial value — if advertisers are willing to pay $8 per click on a keyword, the users searching that term have strong purchase intent and high conversion value.

When building a keyword list, prioritize terms with low KD but high CPC. These are relatively accessible to rank for but carry meaningful commercial value — exactly the kind of territory a content-driven independent store should be targeting early.

Link Metrics: Backlinks and Referring Domains

Backlinks are links from other sites pointing to yours — one of Google's most significant signals for evaluating site authority. But quantity is less important than quality. A thousand links from low-grade directory sites is worth less than five genuine editorial links from recognized industry sources.

Referring Domains counts how many distinct domains those backlinks originate from. A thousand backlinks from 20 websites and a thousand backlinks from 800 different websites represent very different profiles to Google — the latter shows link diversity that looks far healthier. When building links, growing the number and quality of unique referring domains matters more than chasing raw link counts.

Technical Metrics: Core Web Vitals and E-E-A-T

Core Web Vitals are Google's official page experience metrics, currently comprising three measures:

LCP (Largest Contentful Paint) is how long it takes for the largest content element — usually the hero image or main heading — to fully load. The target is under 2.5 seconds.

INP (Interaction to Next Paint) measures how quickly the page responds after a user clicks, taps, or presses a key. The target is under 200 milliseconds. INP formally replaced FID (First Input Delay) in March 2024 — that transition is complete, not ongoing.

CLS (Cumulative Layout Shift) captures how much page elements unexpectedly shift position during loading. The target is under 0.1. A classic example of poor CLS: an ad loads and pushes a button out of position just as the user taps it.

All three can be checked for your actual site in Google Search Console under the "Experience" section, and in PageSpeed Insights — these are real measurements, not tool estimates.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the content quality framework from Google's Search Quality Evaluator Guidelines. Experience (has the author actually used or done this?), Expertise (is the content accurate and substantive?), Authoritativeness (is the site recognized in its field?), Trustworthiness (is information transparent and verifiable?). This isn't a specific algorithm parameter — it's the framework human quality evaluators use when rating content, which indirectly shapes how Google assesses content quality at scale. Whether articles reflect first-hand experience, whether authors are identified, whether sources can be verified — all of this connects to E-E-A-T.

Quick Reference Table

The point of understanding these metrics isn't to memorize numbers — it's to know, when doing keyword research, competitive analysis, or content planning, what each number is actually measuring, what it can tell you, and what it can't. That's what separates SEO decisions grounded in data from ones that are just guesswork dressed up as analysis.