What makes a high-quality guest post?

Run your draft through these ten questions before you send it.

1. Can you state the point in one sentence? If not, the piece is a topic, not an argument.
2. Is the angle new for this site? Search the site for your topic. If they have three posts on it, find a different angle.
3. Does it open with something specific? A number, a situation, a mistake, a claim. Not a definition.
4. Is there first-hand experience in it? A process you run, a problem you fixed, a decision you made. Google calls this the first E in E-E-A-T.
5. Is every claim sourced? Link the source at the point you use it.
6. Does it match the site? Reading level, paragraph length, use of subheadings, how formal it is.
7. Is your link in the right place? Once, in context, to a page that helps the reader go further.
8. Is the anchor natural? Your brand name or a descriptive phrase, not an exact-match keyword.
9. Is it free of sales copy? No "we are the best", no pricing, no call to action to buy.
10. Would the editor publish it without your link? If not, it is not ready.

Editors receive a lot of generic submissions, and more of them now since AI drafting became common. The ones that get through make a claim the site's readers have not seen a dozen times.

A 900-word post built around one well-argued idea will usually beat a 2,000-word post that restates common advice. Before writing, look at what the host site has already published and build the piece around the gap.

Closely. A post written for a general marketing blog will not land on a specialist finance or healthcare site, even if the topic overlaps. Read five to ten of their recent articles before drafting.

Notice the details: do they use first person? How long are paragraphs? Do they use subheadings every few paragraphs, or long analytical sections? Do they include images or data? Matching this tells the editor the piece was written for them, not sent to fifty sites.

Links to sources

Every factual claim, statistic or study reference should link to its source where you use it. It shows you did the research and protects the host site from publishing something wrong.

Your own link

One link to your site is normal. Place it where a reader would want to go deeper, such as a tool, a guide or a service page that answers the next question. Use your brand name or a plain descriptive phrase.

Editors can tell when a link exists only for SEO, and Google's spam policies specifically mention keyword-rich anchors in guest posting campaigns. A link that reads naturally keeps its value whatever attribute the publisher applies.

Hypothetical. Say you run a Dubai logistics consultancy and are writing for a supply chain publication.

Before: "Supply chain management is very important for businesses today. In this article we will look at five tips to improve your supply chain, and explain why [best logistics consultant Dubai] can help."

After: "Most small importers in the UAE find out their customs paperwork is wrong at the port, not before. Here is the three-point check we run on every shipment file before it leaves the supplier, and the one field that causes most holds."

The second version has a specific audience, a specific problem, first-hand process and a reason to read on. The link, if it appears, goes to a page about customs document checks, with your company name as the anchor.

• Generic advice that could appear on any site.
• A definition as the opening line.
• Obvious AI drafting with no edits, examples or opinions.
• More than one link to your own site, or a link in the first paragraph.
• Claims with no sources.
• A tone that ignores the site's style.

When you order through the portal, you send your own article, and we check it for topical fit, link placement and the publisher's rules before it goes out.

We agree the anchor text with you, keep it natural and point it at the page that serves the reader. That standard comes from 9,000+ placements across 1,800+ publisher domains, and from seeing which articles editors accept on merit.

We automated our own content production first. That same kind of pipeline is what our AI Automation work now builds for other teams.