Advanced SEO Examples: What Great Advanced SEO Looks Like
Great advanced SEO shows up as a pattern of small, disciplined decisions repeated consistently across a site, not as a single trick. The fastest way to understand what separates strong execution from mediocre execution is seeing the difference between a technique applied thoughtfully and the same technique applied as a checkbox — category by category, below.
These are illustrative, composite patterns drawn from years of audits at Salterra Digital Services, not claims about any single named company’s private data. The point isn’t who did what — it’s recognizing the shape of good execution so you can replicate it.
Technical Excellence in Action
Done well, technical SEO is invisible to the visitor and obvious to the crawler. A well-run large e-commerce site keeps server response times under control during traffic spikes, serves consistent canonical tags across every variant of a filtered category URL, and returns clean 404s instead of soft-404s that quietly waste crawl budget. A Screaming Frog crawl of a site like this is almost boring: no orphan pages, no redirect chains longer than one hop, no mismatch between the sitemap and the actual indexable URL set.
Done poorly, it looks like a site with a dozen URL parameters generating near-duplicate pages that are never canonicalized to one preferred version. It looks like a redirect chain hopping through three old domain migrations before reaching the real page, leaking authority at every step. It looks like a robots.txt file blocking a JavaScript directory the rendering engine actually needs, so Googlebot sees a blank page where a human sees a fully rendered one.
- Done well: a single canonical URL per unique piece of content, verified in Google Search Console’s URL Inspection tool, not just assumed from the code
- Done poorly: canonical tags that point to a different page than the one actually ranking, confusing the crawler about which version to trust
The tell, in our experience, is how a site handles its edge cases — pagination, faceted navigation, out-of-stock products — because that’s where sloppy technical SEO always hides.
Structured Data Done Right
The clearest sign of mature structured data is restraint. A recipe site that marks up Recipe schema only on actual recipe pages, with prep times and ingredient lists that match the visible content, is doing it right. A publisher that applies FAQ schema only where a page genuinely answers multiple distinct questions — not by pasting a five-question FAQ block onto every page regardless of relevance — is doing it right.
Done poorly looks like FAQPage schema wrapped around content that isn’t a FAQ, Review schema with star ratings that don’t correspond to any real review system, or Product schema with a price that hasn’t matched the live page in months. Google has cracked down on exactly this kind of manipulative markup, and it’s a fast way to lose rich result eligibility rather than gain it.
A Pattern Worth Copying
The strongest implementations we’ve audited treat Schema.org JSON-LD as a data integrity problem, not a copywriting task. The markup is generated programmatically from the same source fields that populate the visible page — the price field feeding the JSON-LD is the same price field a customer sees — so the two can never drift apart. That single choice eliminates the most common cause of manual actions and rich result suppression.
Topical Authority Built the Right Way
Real topical authority looks like a cluster of pages that each answer one distinct, well-scoped question, cross-linked so a reader — and a crawler — can trace the relationships between them. A financial advice site that builds separate, non-overlapping pages for “Roth IRA contribution limits,” “Roth IRA income limits,” and “Roth IRA conversion rules,” each deep enough to stand alone and none cannibalizing the others, is building authority the right way.
Done poorly, topical authority becomes keyword padding: dozens of near-identical pages targeting minor variations of the same underlying question, each thin, each competing with the others for the same ranking position. This is the most common mistake in sites that treat “publish more content” as a strategy rather than “publish the right content once, thoroughly.”
- Done well: a pillar page on a broad topic linking out to genuinely distinct sub-topic pages, each with its own search intent
- Done poorly: five pages all trying to rank for slight variations of “best running shoes,” splitting authority instead of concentrating it
Internal Linking That Actually Guides Users
Good internal linking reads naturally in the sentence and still does structural work. A well-linked article mentions a related concept in passing — “before you can calculate crawl budget, you need to understand log-file analysis” — and links the phrase to the page that explains it, because a reader genuinely might want that next. It also means every page on the site is reachable within a reasonable number of clicks from the homepage, verified with a crawl tool rather than assumed.
Poor internal linking shows up as a “related posts” widget stuffed with unrelated content chosen by recency, or a footer with dozens of keyword-stuffed anchor text links pointing at the same money pages from every page on the site — a pattern that reads as manipulative to users and algorithms alike. It also shows up as orphan pages: genuinely useful content that no other page links to, effectively invisible to crawlers and search visitors.
A quick audit worth running on any site: crawl it with Screaming Frog, export pages with zero incoming internal links, and see how many are pages you actually want indexed. That gap between “content that exists” and “content that’s linked to” is usually larger than site owners expect.
Content Depth Beyond the Checklist
The difference between content that satisfies a checklist and content that actually helps someone is specificity. A well-built comparison page for two competing software products includes pricing tiers that are actually current, real interface screenshots, and an honest statement of who each product is a bad fit for — not just who it’s a good fit for. That willingness to say “this isn’t right for X kind of user” is one of the strongest trust signals content can carry, and it’s almost always missing from thin, checklist-driven pages.
Poor content depth looks like a 2,000-word article that could have been 400 words without the padding — restating the question five different ways, filler transitions, a generic conclusion that adds no information. Length was never the goal; information density was, and long thin content performs worse than short dense content in most modern ranking systems.
- Done well: an e-commerce category page that includes genuine buying-guide content — how to choose between two product types, not just a grid of SKUs
- Done poorly: the same category page with a 300-word SEO paragraph bolted onto the bottom that no visitor will ever scroll to read
Earning Links Instead of Building Them
The best link profiles we’ve audited weren’t built through outreach templates — they were earned because the site published something genuinely citation-worthy: original data, a tool other sites wanted to reference, or an explanation clear enough that other writers linked to it instead of re-explaining the concept themselves. That’s the pattern behind almost every durable, high-authority backlink profile: the content did the work, not the outreach email.
Done poorly, link building looks like paid guest posts on irrelevant sites, reciprocal link exchanges with no topical connection, or directory submissions to sites that exist purely to sell links. These patterns are easy to spot in a backlink audit with a tool like Ahrefs or Moz, because the linking domains share no thematic relationship with the linked site and often link to hundreds of unrelated domains using the same anchor text.
Since 2011, the recurring lesson at Salterra has been that link-earning strategies age well and link-building shortcuts age badly, without exception.
Adapting to AI-Powered Search
The sites handling AI-powered search well share a specific trait: their content is structured for extraction, not just for reading. That means clear, direct answers near the top of a section, entities named explicitly rather than referred to with pronouns three sentences later, and structured data that reinforces — rather than contradicts — the visible text. A page that states its core claim in one clean sentence, then supports it, is far easier for an AI Overview to quote accurately than a page that buries the answer under three paragraphs of preamble.
Done poorly, this looks like content written entirely for a human skimming pattern that AI summarization tools can’t parse cleanly — ambiguous pronoun references, claims split across multiple sentences with qualifiers scattered throughout, or key facts embedded only in an image with no text equivalent. It also looks like sites that ignored entity clarity for years and are now confused why an answer engine attributes their expertise to a competitor with clearer, more consistently structured content.
Our practitioner view: extractability and readability aren’t in tension. A clear, direct, well-structured sentence is good for a human skimmer and a language model at the same time. Sites treating this as a brand-new discipline requiring a full rewrite are usually the same sites that were writing vague, hedge-everything content before AI search existed too.
Frequently Asked Questions
What's the fastest way to tell if a site's advanced SEO is real or superficial?
Crawl it. A genuine advanced SEO implementation shows up in the crawl data — clean canonicals, no orphan pages, consistent structured data — rather than just in claims made on an "our SEO process" page.
Are these examples based on real, named companies?
No. These are illustrative, composite patterns representative of what we consistently see in audits — both strong and weak — not claims about any specific named company's private strategy or results.
Is FAQ schema always a good idea?
No. It's a good idea when a page genuinely contains multiple distinct question-and-answer pairs a user would search for individually. Applied to every page regardless of content, it reads as manipulative and can lose rich result eligibility.
How do I audit my own internal linking?
Crawl your site with a tool like Screaming Frog, export pages with zero or very few internal links pointing to them, and compare that list against the content you actually want ranking. Orphaned pages are invisible to both users and crawlers.
Does writing for AI search mean writing differently than for regular SEO?
Not fundamentally. Clear, direct, well-structured writing with explicit entity references helps both human readers and AI summarization systems. The core discipline hasn't changed — the cost of ambiguity has just gone up.
What's the single most common mistake across all these categories?
Applying a technique uniformly instead of judging where it actually applies — the same FAQ schema, the same content length, the same link-building template used everywhere, whether or not it fits the specific page.
Terry has 30+ years in software and SEO. He’s the founder of Salterra Digital Services and SEO Spring Training, host of the Roundtable SEO Mastermind, and lead instructor at SEO University — teaching the exact tactics his team uses on client work.
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