Third-party domain scores are built from graphs that still lean English. That tilt does not make the tools useless. It makes them biased in a way you can predict. Serious Spanish publishers often look “smaller” than their English peers. Networks that industrialise outbound links often look “bigger” than a regional newspaper that people actually read.
If you sort a prospect list by one of those scores and then buy from the top, you will overpay for sites that are good at being measured and under-notice sites that are good at being read. The second group is the one that tends to matter for Spanish queries.
What the number is
A score is a compression of a crawl you do not control, updated on a schedule you do not control, using a formula the vendor will not fully describe. It is a filing aid. Treat it like a filing aid. Do not treat it like a measurement of a page you have not opened. We still refresh Ahrefs DR and estimated traffic, Moz DA, and Majestic TF on the more than 50,000 Spanish sites in our database, because a stale number is worse than a biased one. Current columns, then reading. Never the other way round.
Page-level metrics have the same problem plus one: they inherit the domain’s reputation even when the article is new, thin, or written to host a link. Domain-level metrics have the opposite problem: a strong newspaper can still publish a weak URL. You still have to open the URL. There is no workaround, including this paragraph.
Spanish graphs are thinner in the tools
Many of the largest referring domains in these tools are English. Citations among Spanish publishers — especially in Latin America — are less completely recorded. A Mexican specialist title can look modest next to an English blog that has spent years collecting easy links. The modest title may still be the one a searcher in Mexico already trusts.
This is one more reason markets are not a language bucket. A score does not know whether the audience is in Spain or in Peru. You do, if you read the article.
Traffic estimates are a different guess
Click estimates can be directionally useful when they show a site is not abandoned. They can be nonsense when they show a precise number to the nearest hundred. Use them as a yes/no on “does anyone arrive here,” then look at the organic landing pages. If those pages are the homepage and a handful of old posts, you are not looking at a living section.
Brand searches for the publication are a cleaner hint than a traffic bar. If nobody searches for the name of the site, the site may still be useful — some specialist journals live on direct visits — but you should know that you are making that bet.
What a better internal score would look like
If you need a number for a spreadsheet, make one you can explain: language match, topical overlap, in-body placement, and whether you would send the article to a colleague. Four ticks. No vendor required. The number will not impress a procurement form. It will prevent you from buying a row you cannot defend in a meeting.
Four ticks you can explain without a vendor:
- Language match — the article is in the language of the query you care about, not a translated paragraph on an English host.
- Topical overlap — a person who typed the query would still be in the right place if they clicked the mention.
- In-body placement — the link sits in a sentence that needs a source, not a sidebar, bio, or partner block.
- Would you send the article to a colleague who cares about the subject. If not, the score is a costume.
You can still keep the third-party score in a column. Just do not sort by it first. Sorting is a decision. Decisions belong to people who have opened the URL. That is why we keep DR, traffic, DA, and TF current on the file and still refuse to let those columns drive the pitch list. For the campaign version of that order, see how the process is run.
Spam scores and other borrowed panics
A “spam” label from a tool can be right — private networks, spun copy, exploded outbound counts. It can also be a Spanish forum, a regional newspaper with messy CMS history, or a university subdomain the crawler barely understands. Treat the label as a prompt to look, not as a verdict.
The reverse is more dangerous. Clean scores on a network that industrialises guest posts will soothe a slide and still leave you with a profile you cannot show a director. If the article is junk, the score is a costume. Take the costume off before you pay for it.
A ranking for prospects that does not start with a score
Read first, using the publisher tests. Then, if you must sort, use the score to decide which of the remaining sites to approach first when time is short. Never use it to rescue a site that failed the reading.
That order is the same one behind how we evaluate publishers and how a campaign is scoped. The number can come with you. It should not drive.
If a vendor’s first slide is a league table of ratings, ask to see three live articles. If they cannot show articles they are proud of without a login, you already have the only metric you needed.
The number can come with you. It should not drive.