Speed vs quality in link building is not a close call. Quality wins. I learned that the hard way years ago, when I chased link volume, skipped my vetting, and paid for it. Here is what went wrong, the system I built afterward, and what it did for a client.

The scoreboard I was proud of

Years ago, I was the strongest performer on my link building team. I had been for a long time, and the expectation was that I would become the next manager.

I'm telling you that first because it matters. I wasn't a beginner who didn't know better. I knew vetting mattered. I forgot to do it.

Being the best on the team felt good. I felt like the most valued person there, because everybody listened when I recommended or suggested something. I felt ahead of my co-workers, and for some reason that also felt wrong.

When you're the top performer, you protect your number. Mine was links won. Then something happened that took my numbers away.

The flood

My house flooded. Everything I used for work was swept away, including my computer. No equipment, no output.

For a month or two, I delivered no links. I borrowed money to buy a laptop. It was nowhere near as powerful as the one I had owned before the flood.

I'm not telling you this for sympathy. I'm telling you because the pressure that caught up with me didn't come from nowhere. Most bad shortcuts start with a good reason.

The shortcut

When you've fallen behind, "faster" feels like the fix. So I went faster. I put speed ahead of quality, and for a while it looked like it worked. I was winning more links again.

Here is what I stopped doing:

• I stopped looking closely at the backlink profiles of the sites we published guest posts on.
• I stopped checking their site metrics.
• I sometimes ignored contextual relevance, so a link could land on a site that had nothing to do with what we did.

None of this was hard. It was just slow, and I had decided slow was the enemy.

The dangerous part is that nothing exploded. Rankings did not drop. There was no alarm. A bad shortcut doesn't announce itself. It sits inside your work until somebody looks.

When it showed

My manager flagged it. It was a private conversation, and I'll leave it there. By then I had already started to see it myself, a few days earlier.

It wasn't one bad site. It was a pattern across several. Some of them had DR that looked impressive. But when I opened their backlink profiles in Ubersuggest, the story changed. The profiles looked like they had been built with black-hat tactics to push DR up, so the sites could sell links.

The cost was clear: wasted links, and a hit to my reputation. Links can be replaced. Trust takes longer.

Leaving

I resigned. I was embarrassed that I had forgotten to vet those links properly, and that embarrassment is why I left.

It is still not a comfortable memory. I'm sharing it anyway, because I think someone reading this is about to make the same trade I made.

Four lessons the mistake taught me

Every learning curve has a shape. Mine had four turns, and I still use all of them.

1. Pressure lowers your standards without telling you. I never decided to stop vetting. I just got behind, felt the gap, and cut the slowest part of the job. Nobody cuts corners on purpose. They cut them while trying to catch up. Now, when I feel behind, I treat that feeling as a signal to check my process harder, not skip it.

2. The number you protect can become the wrong number. Links won was my score. It was easy to count and it made me look good. But it measured activity, not value. If your metric rewards volume, it will quietly punish care. Ask what your number is really measuring.

3. A metric can be dressed up. DR looked impressive on sites that didn't deserve it. Whatever you rely on, ask how someone could fake it. If you can't answer, you don't understand it yet.

4. A written checklist beats good intentions. I knew vetting mattered. Knowing wasn't enough. What fixed it was writing the steps down so I couldn't forget them when I was tired or rushed.

If you're in the middle of your own mistake right now, take this from me: it's rarely the end of your career. For me, it was the start of a better way of working.

Speed vs quality in link building: which one wins?

Quality. That sounds obvious now. It wasn't obvious when I was behind.

What I realized is this: winning fewer links is not the same as winning less. If every link comes from a relevant site with a clean history, a smaller number is worth far more than a bigger pile.

Google's own spam policies back this up. They describe buying or selling links for ranking purposes as link spam, and they list guest posts and articles with keyword-optimized anchor text among the examples. Selling links isn't banned outright, but those links are meant to be marked with a nofollow or sponsored attribute. The same page gives an expired-domain example that sounds a lot like what I was dealing with: casino content on a site that used to belong to an elementary school. It also says the policies cover attempts to manipulate generative AI responses, which matters if you care about AEO.

Here is how the two approaches compare:

My vetting system

This is the checklist I run before I accept a guest post placement. Treat it as a guide, not a script. Adjust it to your niche, but don't skip steps because you're in a hurry. That's the exact trap I fell into.

Step 1: Check relevance before any metric.
Ask one question first: does this site make sense for my client's topic? If a site covers casinos, crypto, and cooking in the same week, it fails before I open a single tool.

Step 2: Read the backlink profile in Ubersuggest.
I look for backlinks that look unnatural. A link from a Telegram page. A link from a Google image result. Then I look for profiles with many redirects pointing to high-DR sites. For those, I open the live link. If the link doesn't actually exist, the profile is there to inflate a number so the site can sell links.

Step 3: Check the real metrics in Ahrefs.
Site metrics matter too. I check organic traffic and DR. DR alone is easy to dress up, and organic traffic is much harder to fake. I also look at whether traffic is steady or falling, because a site with a high DR and almost no traffic is a warning sign.

Step 4: Study the Top Pages report.
In Ahrefs, I look at the top pages and ask whether any of them have nothing to do with the site's overall topic. If a marketing blog's best-performing page is about something unrelated, I treat the site with suspicion.

Step 5: Search the site on Google.
I use a search operator: site:example.com "casino". Then I repeat it for other spam terms such as porn and viagra. For each result, I open the page and check whether that word is actually linked to a site that practices black hat. I also run a plain site:example.com search. If Google shows almost nothing, I walk away.

Step 6: Read the page where my link would live.
Look at how many outbound links a typical post carries. Look at whether the articles are actually useful. A page packed with links to unrelated sites is not a place my client's name belongs.

Step 7: Write the post to be quoted.
For AEO, the guest post itself matters. Open with a clear answer to a real question. Keep the brand name and what it does consistent across every placement. Link only where it genuinely helps the reader.

Step 8: Check AI answers after it goes live.
Once placements are live, I check whether the queries we are targeting now return the client in AI answers. If I don't track it, I can't tell what's working.

Step 9: Keep a vetting sheet and re-check old placements.
Record every approved site with its DR, traffic, relevance notes, and the date you checked it. A clean site can go bad later. A written checklist is also what lets a VA run this process without me watching every step. The same goes for the pitch itself: a clean footer from a free email signature generator makes outreach look like it comes from a real, accountable sender. For a deeper walkthrough, see our DIY backlink audit guide.

Red flags at a glance

When I'm scanning quickly, these are the signs that make me stop and look closer:

One red flag deserves a second look. Two or more, and I walk away.

Making the system work for SEO and AEO

Link building and AEO now overlap more than most people admit. Cleaner placements on relevant sites give you a stronger footprint, and a stronger footprint is more likely to be picked up when people ask AI tools questions in your space. I can't promise how any AI tool chooses its sources. What I can say is what I saw: stricter vetting, and a client who started appearing in AI answers for most of the queries we tracked.

So I plan for both at once. Choose sites that are relevant to the topic. Write the post so it answers a real question. Keep your brand description consistent. Track both rankings and AI answers, not just links won.

Handing the system to a VA

A checklist this clear is easy to delegate. A trained VA can run Steps 1 to 6 and bring me a shortlist, with notes, in your vetting sheet. I review the borderline sites and make the final call. That keeps speed where it belongs, in the repeatable work, and keeps judgment where it belongs, with the person accountable for the result.

What happened when I applied it

After I left, I took what I learned and applied the stricter vetting to a new client in the SaaS and digital marketing space. Their starting DR was only 6. In a little over two months, it gained more than 20 points. They also started getting cited in AI answers for most of the queries we were targeting in SEO and AEO. We tracked this with a proprietary citation tool that gives us an overview of how a client is doing in AI citations.

I won't pretend vetting did all of that alone. Content, strategy, and the client's own work all played a part. But I can tell you what changed on my side. I stopped counting links and started counting good ones.

If you're behind right now, here is what I'd say to you. Speed feels like the answer when the pressure is on. It isn't. The way back for me was a slower, stricter process, and it beat anything I had rushed.

Fast is only useful once the work is right. Get it right first, then get it fast.

What link vetting taught me about AI and VAs

The same habit shows up everywhere I work now: check everything.

AI is a good example. It writes fast and it sounds sure of itself, and it can be wrong. If I treated its output the way I once treated those links, I would repeat my old mistake at a much larger scale. So the rules I use for link building are the rules I use for AI. Be specific about what you want. Check everything it gives you. Build systems, not one-off tasks. Let judgment beat speed. I go deeper on this in AI vs virtual assistants and in my essay on why AI exposes who never had creativity to begin with.

It's the same reason I care how we hire at Nomad VAs. A strong SEO VA shouldn't be the person who delivers the biggest number the fastest. It should be the person who checks before they build. That's why how we vet matters so much to me. If you want the bigger picture on why this role matters now, read why hire an SEO VA in 2026.

I lost a lot in that period of my life: my equipment and my position. What I kept was the lesson. I'd take that lesson over any number of fast links.

If you take one thing from this, let it be this. Fast is only useful once the work is right. Get it right first, then get it fast.

FAQ