r/seogrowth 6h ago

Hiring Hiring SEO expert for an MNC

3 Upvotes

Hey! I’m looking for a solid SEO specialist to help us out.

Definitely need someone with real experience under their belt and if you’ve handled SEO for MNCs or large brands, that’s a huge plus.

If that sounds like you, drop me a message with a quick background and any past results/case studies. Let’s talk!


r/seogrowth 16h ago

Discussion Your content isn't underperforming. Your site architecture is. Why 200 articles lose to 40 the part of semantic SEO nobody explains properly.

29 Upvotes

I've spent the last few years building content architectures for clients — SaaS, ecom, local, a couple of affiliate sites. The single most common situation I walk into looks like this:

100–400 published articles

Decent writers, decent content

Traffic grew for 6 months, then flatlined

Competitor with a third of the content outranks them across the board.

Almost everyone diagnoses this as a quality problem or a backlink problem. In my experience it's usually neither. It's a structure problem, and I want to explain the mechanism rather than just say "build topical authority" like that's an instruction.

The mechanism.

Google doesn't evaluate your article in isolation. It evaluates how well your site covers a subject. When your 40 articles are scattered across nine loosely related subjects, you're a generalist in nine areas. When a competitor's 40 articles saturate one subject with clear relationships between them, they're a specialist in one. The specialist wins every query in that subject, including the ones they haven't written yet.

This is why "just publish more" stops working. Every additional off-topic article dilutes the signal instead of strengthening it.

What a topical map actually is Stripped of jargon: it's a plan that decides, before you write anything,

What your site is about (one clear subject, defined precisely enough to avoid drift)

Every subtopic required for complete coverage of that subject

What order to publish in

Which page owns which query (one query, one page — this is your cannibalization firewall)

How pages link to each other

That's it. It's not exotic. Most people just skip straight from keyword research to a content calendar and lose the middle three.

The parts people get wrong

Publishing order is not arbitrary. If you publish the money page first and the supporting context later, the money page ranks with nothing behind it and stalls. Foundational, definitional content first — it builds the context the commercial pages inherit. This one change has produced more of my clients' turnarounds than anything else, and it costs nothing.

Coverage means the entities, not the keywords. If you want to rank for "estate planning," Google expects to see probate, living wills, trusts, tax implications, executors. Not because those are high-volume keywords — because a genuine expert on estate planning would obviously cover them. Missing entities read as missing expertise. Pull them from Wikipedia's contents, PAA, and what the top 10 all mention that you don't.

Internal linking should mirror the hierarchy, not your recent-posts widget. Supporting pages link up to the pillar, siblings link across when contextually relevant, pillar links down. If your linking is random, you've told Google your topics are unrelated.

One query, one page. Most flat-traffic sites I audit have 3–5 pages semi-targeting the same intent, splitting signals and confusing which one should rank. Consolidating those usually produces faster gains than any new article. It's unglamorous and it works.

Timelines, honestly

The map takes days to weeks. The results don't. Realistic expectation from what I've seen and what's broadly reported: early movement around 60–120 days into consistent publishing, meaningful authority in 3–6 months, competitive niches 6–18 months. Anyone promising faster is selling something.

Also worth saying plainly: a topical map is not a ranking factor. It's a planning framework. It doesn't rank you — it stops you wasting budget on content that was never going to rank, and it makes every article you publish reinforce the others instead of competing with them.

On AI-generated maps

I use AI in my own workflow, so this isn't purism. But generated maps have a specific failure mode: they look complete. You get a tidy hierarchy of plausible topics, and nothing in it reflects your actual competitors' gaps, your revenue model, or which topics need to exist before which others. The errors don't surface for six months, which is exactly how long you'll have been publishing in the wrong order.

Use it for entity brainstorming and first-pass clustering. Validate the rest against live SERPs yourself.

If you want to try this on your own site

Write one sentence:

"This site is the best source on ___ for ___." If you can't, that's your first problem.

List every subtopic a genuine expert would cover. Use PAA, Wikipedia TOC, and the top 10's shared coverage.

Assign one intent and one owning page per subtopic.

Sequence: foundational → supporting → commercial.

Map the links before you write.

Audit what you already have against it — merge the overlaps, prune the orphans.

Happy to answer questions in the comments, including on specific niches. Curious whether others here have seen the publishing-order effect as strongly as I have, or whether that's overweighted in my sample.


r/seogrowth 3h ago

Case Study We asked 4 AIs the same thing 1,200 times and they agree less than 10% of the time

3 Upvotes

I'd been reading these AI visibility studies and something bugged me. They're all run in English, on US brands, and then we cite them like they apply to a business in Bogota or Valencia. I went looking for the Spanish-language version and found nothing, so we ran it ourselves.

I picked a market with plenty of real players, marketing agencies in Argentina, and wrote 100 searches the way an actual person would type them. I ran them across four engines, ChatGPT, Gemini, Google AI Overview and Perplexity. And here's the part almost nobody does, I repeated the same 100 searches three times, same day, without changing a single word. That's 1,200 queries in total.

The first thing that came out already felt big. Two AIs agree on average on just 9.6% of the brands they recommend. So out of every ten brands that show up, nine don't repeat in the other model. And when I pooled everything I ended up with 932 distinct agencies, of which 81% appeared in a single engine and in none of the other three.

But hold on, because that still wasn't the thing that broke my brain. Before comparing the models against each other I asked the obvious question. If I run the same search on ChatGPT three times in a row, same day, do I get the same brands?

And the answer is no. ChatGPT agrees with itself just 26% of the time. The most stable, AI Overview, reaches 39% and even that doesn't clear half. Meaning three out of four brands it names change between one answer and the next.

And that one finding breaks half the study, mine included. Because two models can't agree with each other more than each one agrees with itself. That 9.6% doesn't mean the AIs think differently, it means a big chunk of what looks like disagreement is actually noise.

One last thing I didn't see coming. Perplexity plays a different game, it recommends global networks like VML, Ogilvy or Dentsu, while the other three reward local agencies. One example, the same agency that shows up in 70 of the 100 searches for Gemini shows up in 9 for Perplexity.

What I take from it is simple. Measure all four engines separately because one doesn't predict the others, never trust a single query, and if your brand is local start with Google, since AI Overview and Gemini are the closest pair.

Required disclaimer, I work at CreceRank and we ran all of this on our own tool, so it could be biased. And the worst part is I've got nothing to compare it against, because there's nothing like this done for the Spanish-speaking market. If anyone has data that contradicts me or wants to rip the methodology apart, please do, that's the most useful thing for me.


r/seogrowth 3h ago

Question What finally helped you improve your local rankings?

8 Upvotes

I have been working on local SEO for a while now, but progress has been slower than I’d hoped. I’ve tried optimizing my Google Business Profile, publishing content and building citations, but I’m still not seeing consistent results. What ended up making the biggest difference for you? I’d love to hear what actually worked based on your own experience


r/seogrowth 10h ago

Question Pay Per Leads / Lead Generation Service ?

4 Upvotes

Pay Per Leads / Lead Generation Service

what's everybody's opinion on service business using paper lead services or SEO services charging per lead?

in the past I've used SEO with mixed results so I'm looking into this kind for my local service business?