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I’ve been doing SEO long enough to know that most “game-changing” advice is just old tactics wearing a new hoodie.

So when people talk about AI SEO, I mostly roll my eyes.

My take is pretty simple: AI SEO is still just SEO. If your pages deserve to rank in search, they’ll usually have a shot at showing up in AI-driven discovery too. If your site is thin, lazy, slow, or built on recycled slop, wrapping it in an AI label doesn’t magically make it good.

What actually stood out to me here was the framing around two tactics doing most of the work: blog posts at scale and service pages that convert. That’s not sexy. It’s also why it works.

A lot of people overcomplicate SEO because admitting the truth is less marketable. Usually the real gains come from:

• finding keywords you can actually win
• publishing pages that match intent
• making those pages better than the current top results
• building a site Google can crawl without friction
• repeating the process consistently

That’s it. No secret Discord tactic. No “entity stacking vortex.” No mystical prompt that unlocks rankings overnight.

What I liked most is the reminder that AI should be used as a production layer, not a substitute for strategy.

If you tell a model to “write 20 plumbing articles,” you’ll get what I call landfill content. Technically indexed, maybe. Useful? Usually not. Memorable? Definitely not. Likely to drive leads? Not unless the niche is asleep at the wheel.

The smarter approach is using AI to speed up the parts that are normally slow:

site setup, page creation, formatting, internal linking, image sourcing, content structure, even on-page checks.

That’s real leverage.

But the strategy still has to come from you.

The keyword research section hits a point I’ve repeated for years: not all traffic is worth having. A keyword with volume means nothing if it has the wrong intent, impossible competition, or zero business value.

This is where beginners usually light 6 months on fire.

They chase vanity terms, ignore difficulty, skip intent, and then wonder why nothing moves. I’ve seen it over and over. A smaller keyword with lower difficulty and clearer intent can be worth more than some giant trophy keyword you’ll never rank for.

And yes, filtering for realistic difficulty, meaningful volume, and the right intent is boring. That’s also why it makes money.

The content angle is where I’m a bit more opinionated.

Most AI-assisted content fails because it sounds like a compliance manual written by a committee that fears jokes. The fix isn’t “use better prompts” in the abstract. The fix is to inject actual human texture:

opinions, stories, stats, phrasing, humor, specificity, scars from real work.

That matters more than people think.

Google’s algorithm may be a black box, but user dissatisfaction isn’t. If people land on your page and bounce because it reads like every other AI-generated article on the internet, that’s not some philosophical issue. That’s a performance issue.

And I’ll say the mildly contrarian part out loud: a lot of SEO content is losing not because it lacks optimization, but because it lacks a pulse.

The idea of studying top-ranking pages and borrowing the winning format is also dead-on. Not copying. Not spinning. Reverse engineering. There’s a difference.

When I build content that ranks, I don’t start from “what do I want to say?” I start from “what is Google already rewarding here, and how do I create something more useful, more readable, and more complete?”

That means looking at structure, depth, subtopics, media usage, internal links, and search intent alignment. It’s less creative than people want SEO to be, but a lot more effective.

The technical SEO point is another one people either obsess over too much or ignore completely.

You do not need to become a full-time performance engineer to win organic traffic.

But you do need pages Google can crawl, render, and understand cleanly.

The static site discussion matters because rendering issues quietly kill more SEO upside than most people realize. If Google has to work harder to access your content, you’re creating unnecessary drag. I’ve watched teams spend months polishing copy on pages that were technically handicapped from day one. That’s peak SEO comedy.

And then there’s local/service page SEO.

This is where a lot of businesses should focus before publishing their 87th generic blog post.

If someone searches a service + city query, they’re often much closer to revenue than someone reading a top-of-funnel article. Service pages are where traffic turns into leads. Blog content builds topical authority and supports the domain; service pages usually close the loop.

That relationship is important.

I tend to think of it like this: blog content builds trust with search engines, while service pages collect demand already in-market. One raises the ceiling, the other pays the bills.

The warning about not mass-producing thousands of near-duplicate service pages is also worth underlining. That tactic has been abused for years, and too many people still act like doorway-page spam is some clever growth hack. It isn’t. It’s just a slower way to create cleanup work for your future self.

What I ultimately agree with most is the bigger principle underneath all of this:

SEO gets easier when you stop treating it like magic.

Google wants pages that satisfy searchers so people keep using Google. That’s the whole game. There are hundreds of signals, sure, but the simplest practical interpretation is still the most useful one: create pages that deserve attention, make them easy to crawl, and align them with intent.

AI can help you do that faster.

It cannot do the thinking for you.

That’s the part a lot of people don’t want to hear, because “faster execution of sound strategy” is less exciting than “rank by Saturday with one prompt.” But one of those is real, and one of those is SEO snake oil with a better landing page.

If I were applying this myself, I’d focus on three things immediately: build a crawlable static site, go after low-difficulty/high-intent keywords first, and create content that sounds like an actual person with domain experience instead of a chatbot trying not to get fired.

That’s still the edge.

And honestly, it probably will be for a long time.

One of the most common resume formatting mistakes I see is this: a candidate worked at one company for years, advanced internally, and then presents that experience in a way that makes the progression hard to scan.

That is a problem because resumes are not career diaries. They are sales documents. If a recruiter has to stop and decode your timeline, you have already introduced friction.

When someone has held multiple jobs at the same employer, I typically see two legitimate scenarios.

First: the roles show a clear progression in the same job family. Think Analyst to Senior Analyst to Manager. In that case, I want the employer name and total tenure to be immediately visible. That tells the reader two important things at once: stability and growth.

From there, I prefer listing the current or most recent title first, then showing prior titles underneath with dates attached to each role. The bullet points can then sit beneath that grouped entry and reflect the full scope of contribution across the progression.

Why this works: it keeps the document clean, preserves upward mobility, and avoids repeating the employer name three separate times. More importantly, it helps the recruiter understand the story fast: you were promoted because your scope increased.

The key is to write bullets that sound cumulative, not generic. I would not waste space with task-heavy lines that belong to an entry-level version of the job if the target role is more senior. The bullets should emphasize the strongest, highest-level achievements across that progression.

Second: the roles are materially different. Maybe someone moved from Operations to HR, or from Customer Service into Recruiting. In that case, combining everything under one set of bullets can blur the distinction and weaken the message.

When the functions are different, I prefer keeping the company name and overall dates visible at the top, then breaking out each position separately beneath it with its own date range and bullets. That structure gives each role room to breathe and makes the shift in responsibilities obvious.

This is where formatting matters more than most people realize. A recruiter should be able to glance at the entry and instantly identify:

• the employer
• the total time with that employer
• the sequence of titles
• the timing of each role
• the accomplishments tied to each job

If any one of those elements is muddy, the entry is underperforming.

My rule is simple: group promotions, separate distinct functions.

That distinction protects the narrative. Promotions should read like momentum. Unrelated roles should read like breadth.

I also want to point out a subtle but important strategy here: your most recent title should usually lead. That is the title most relevant to your current market position. If you bury it, you dilute your brand.

And as always, bullet quality matters just as much as formatting. I would rather see 4 sharp, outcome-driven bullets than 10 vague ones. Strong resumes do not just show that you held multiple positions. They prove why each move mattered.

If you have been with one employer for a long time, that can be a major asset on the page—but only if the structure makes your value easy to absorb.

A resume should never force the reader to assemble your career story on their own. Your job is to do that work for them, with clarity, hierarchy, and strong verb choice.

One of the most useful things a candidate can do is stop looking at LinkedIn only from the profile owner side and start looking at it from the recruiter search side.

I spent years inside recruiting workflows, and I can tell you this clearly: a lot of good people get missed not because they aren’t qualified, but because they don’t understand how recruiters are actually filtering, searching, and narrowing.

That matters.

Because recruiters are not browsing profiles like casual readers. We’re working inside a system built around titles, locations, seniority, function, industry, skills, and knockout criteria.

And that changes everything.

What stood out to me most is how much of the process is driven by structured fields.

If your title is creative but not searchable, you make it harder on yourself.
If your location is vague or nonstandard, you reduce discoverability.
If your skills don’t align with the way jobs are tagged, you may not show up where you should.

This is why I’m always telling candidates: use language the system recognizes before you use language that sounds clever.

A recruiter doesn’t start with your story.
A recruiter starts with filters.

And yes, those filters often come from dropdowns, prebuilt categories, and LinkedIn’s own data structure. That means your profile has a much better chance of being surfaced when you align to those structures instead of fighting them.

Another important point: the skills attached to a job are not decorative.

They often become the comparison layer between the posting and the applicant. Candidates underestimate this constantly. If a role is tied to specific skills and your profile either lacks them, buries them, or uses adjacent wording instead, you may look weaker than you actually are.

That’s not fair. But it is real.

The same goes for screening questions.

When recruiters set “must-have” criteria—degree, years of experience, specific background, work authorization, location, etc.—those aren’t just nice-to-know details. In many cases, they directly affect whether someone moves forward, gets flagged, or gets screened out early.

So if you’re applying without reading those carefully, you’re not just taking a shot. You may be stepping into an automatic no.

What I want candidates to take from this is simple:

Build your profile to be found.
Build your application to be matched.
Build your positioning to be understood quickly.

That means:

• choosing searchable job titles
• using standard location data
• aligning your skills with target roles
• making your experience easy to classify
• avoiding unnecessary ambiguity

LinkedIn is personal branding, yes.

But it’s also infrastructure.

And the strongest candidates understand both sides: the human side that persuades, and the system side that surfaces.

If more job seekers saw what recruiters actually see, they’d stop treating LinkedIn like a biography and start treating it like a strategic asset.

That shift alone can improve visibility, relevance, and shortlist odds.

And honestly, that’s where better candidates separate themselves—not just by being qualified, but by being findable, legible, and easy to say yes to.