Table of Contents

Why SEO Testing is the Only Path to Continual Success (in Today’s Google, and Tomorrow’s AI)

published:
11/14/2025
5 minutes

TL;DR:

Too long; didn't read

The current SEO world is louder than ever.

Depending on who you ask, SEO “died” in 2006, 2009, 2018; or maybe it’s scheduled for 2057. It’s hard to keep track. And then there’s the acronym soup designed to upsell the unsuspecting customer: LLM SEO, AEO, GEO, SGE, AEIOU (and sometimes Y!). But none of this noise really matters. Because in this world, there’s only one thing that consistently cuts through: testing.

SEO testing is the only reliable way to sustain success in today’s Google-first world, and to prepare for tomorrow’s AI-first future.

1. The Problem with “Best” Practices

Traditional SEO used to lean heavily on playbooks: 2% keyword density, 157-character meta descriptions, keyword in the first 100 words, etc.

The scary red and orange suggestion lines from Yoast SEO

For a while, these rules appeared to work. But the cracks were always there. What helped one site rank might flop for another. A page that looked like it was built by Homer Simpson could still outrank a meticulously crafted $100k website.

Today, in the LLM era, “best practices” are more fragile than ever. They aren’t laws of success, they’re hypotheses at best.

And that’s exactly where testing steps in: to bridge the gap between what once seemed universal and what actually works for your site, in your niche.

2. Why SEO Testing is the Core Strategy

Testing is how we move from guesswork to growth.

  • Testing proves reality vs. theory: Best practices may set the hypothesis, but only testing reveals the truth.
  • Testing drives continual iteration. Testing isn’t about one-off wins. It builds a cycle of learning that compounds over time.
  • Testing uncovers competitive advantage. The faster you test, the faster you learn, and the faster you outpace competitors.

Here are some ideas below to get you started. Instead of following the “guru-of-the-week,” you get to find what really creates value for your site.

You should also check out the SEO testing case studies from search pilot.

The current SEO world is louder than ever.

Depending on who you ask, SEO “died” in 2006, 2009, 2018; or maybe it’s scheduled for 2057. It’s hard to keep track. And then there’s the acronym soup designed to upsell the unsuspecting customer: LLM SEO, AEO, GEO, SGE, AEIOU (and sometimes Y!). But none of this noise really matters. Because in this world, there’s only one thing that consistently cuts through: testing.

SEO testing is the only reliable way to sustain success in today’s Google-first world, and to prepare for tomorrow’s AI-first future.

1. The Problem with “Best” Practices

Traditional SEO used to lean heavily on playbooks: 2% keyword density, 157-character meta descriptions, keyword in the first 100 words, etc.

The scary red and orange suggestion lines from Yoast SEO

For a while, these rules appeared to work. But the cracks were always there. What helped one site rank might flop for another. A page that looked like it was built by Homer Simpson could still outrank a meticulously crafted $100k website.

Today, in the LLM era, “best practices” are more fragile than ever. They aren’t laws of success, they’re hypotheses at best.

And that’s exactly where testing steps in: to bridge the gap between what once seemed universal and what actually works for your site, in your niche.

2. Why SEO Testing is the Core Strategy

Testing is how we move from guesswork to growth.

  • Testing proves reality vs. theory: Best practices may set the hypothesis, but only testing reveals the truth.
  • Testing drives continual iteration. Testing isn’t about one-off wins. It builds a cycle of learning that compounds over time.
  • Testing uncovers competitive advantage. The faster you test, the faster you learn, and the faster you outpace competitors.

Here are some ideas below to get you started. Instead of following the “guru-of-the-week,” you get to find what really creates value for your site.

You should also check out the SEO testing case studies from search pilot.

The current SEO world is louder than ever.

Depending on who you ask, SEO “died” in 2006, 2009, 2018; or maybe it’s scheduled for 2057. It’s hard to keep track. And then there’s the acronym soup designed to upsell the unsuspecting customer: LLM SEO, AEO, GEO, SGE, AEIOU (and sometimes Y!). But none of this noise really matters. Because in this world, there’s only one thing that consistently cuts through: testing.

SEO testing is the only reliable way to sustain success in today’s Google-first world, and to prepare for tomorrow’s AI-first future.

1. The Problem with “Best” Practices

Traditional SEO used to lean heavily on playbooks: 2% keyword density, 157-character meta descriptions, keyword in the first 100 words, etc.

The scary red and orange suggestion lines from Yoast SEO

For a while, these rules appeared to work. But the cracks were always there. What helped one site rank might flop for another. A page that looked like it was built by Homer Simpson could still outrank a meticulously crafted $100k website.

Today, in the LLM era, “best practices” are more fragile than ever. They aren’t laws of success, they’re hypotheses at best.

And that’s exactly where testing steps in: to bridge the gap between what once seemed universal and what actually works for your site, in your niche.

2. Why SEO Testing is the Core Strategy

Testing is how we move from guesswork to growth.

  • Testing proves reality vs. theory: Best practices may set the hypothesis, but only testing reveals the truth.
  • Testing drives continual iteration. Testing isn’t about one-off wins. It builds a cycle of learning that compounds over time.
  • Testing uncovers competitive advantage. The faster you test, the faster you learn, and the faster you outpace competitors.

Here are some ideas below to get you started. Instead of following the “guru-of-the-week,” you get to find what really creates value for your site.

You should also check out the SEO testing case studies from search pilot.

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The current SEO world is louder than ever.

Depending on who you ask, SEO “died” in 2006, 2009, 2018; or maybe it’s scheduled for 2057. It’s hard to keep track. And then there’s the acronym soup designed to upsell the unsuspecting customer: LLM SEO, AEO, GEO, SGE, AEIOU (and sometimes Y!). But none of this noise really matters. Because in this world, there’s only one thing that consistently cuts through: testing.

SEO testing is the only reliable way to sustain success in today’s Google-first world, and to prepare for tomorrow’s AI-first future.

1. The Problem with “Best” Practices

Traditional SEO used to lean heavily on playbooks: 2% keyword density, 157-character meta descriptions, keyword in the first 100 words, etc.

The scary red and orange suggestion lines from Yoast SEO

For a while, these rules appeared to work. But the cracks were always there. What helped one site rank might flop for another. A page that looked like it was built by Homer Simpson could still outrank a meticulously crafted $100k website.

Today, in the LLM era, “best practices” are more fragile than ever. They aren’t laws of success, they’re hypotheses at best.

And that’s exactly where testing steps in: to bridge the gap between what once seemed universal and what actually works for your site, in your niche.

2. Why SEO Testing is the Core Strategy

Testing is how we move from guesswork to growth.

  • Testing proves reality vs. theory: Best practices may set the hypothesis, but only testing reveals the truth.
  • Testing drives continual iteration. Testing isn’t about one-off wins. It builds a cycle of learning that compounds over time.
  • Testing uncovers competitive advantage. The faster you test, the faster you learn, and the faster you outpace competitors.

Here are some ideas below to get you started. Instead of following the “guru-of-the-week,” you get to find what really creates value for your site.

You should also check out the SEO testing case studies from search pilot.

SEO Testing Methods

Common SEO Testing Practices

Advanced SEO Testing Practices

  • Title tags – wording, length, USP and keyword placement.
  • Meta descriptions – persuasive copy, CTA language, keyword inclusion, or keep them blank!
  • On-page copy variations – keyword placement, tone, length, media, CTA's etc..
  • Internal linking – what pages you link to (and vice versa), anchor text variety, outbound links.
  • Schema basics – implementing FAQ, Product, Article schema.
  • Image alt text and optimization – descriptive vs. keyword-heavy alt text.
  • Heading structures (H1–H3) – testing phrasing and order.
  • Page speed tweaks – lightweight improvements like image compression or lazy loading.
  • Content depth – testing concise summaries vs. in-depth longform.
  • Content structure – experimenting with FAQ placement, jump links, or bullet vs. narrative formatting.
  • Multimedia integration – adding video, charts, or interactive tools vs. text-only pages.
  • Crawl budget optimization – blocking thin/low-value pages to see if priority pages gain rankings.
  • AI Content – do search results really punish AI content? Google says no. See for yourself
  • Dynamic Meta descriptions – add/remove your brand, change pricing or USPs on the go
  • Hub-and-spoke depth – direct homepage links vs. strict siloing.
  • Conversion alignment – testing CTA placement, button language, and form length.
  • Trust signal inclusion – reviews, awards, or “as seen in” mentions.
  • AI retrievability – phrasing content as Q&A to test recall in ChatGPT, Perplexity, etc.
  • Citation likelihood – experimenting with content phrasing that increases chances of being cited by LLMs.
  • Freshness micro-updates – updating stats/dates to test if AI engines and Google surface content more often.

3. SEO’s Dual Reality: Google Now, AI Tomorrow

Now: Google remains the foundation. With ~90% market share, and ~41% of traffic referral, search rankings still drive the majority of traffic and revenue. Ignoring that reality today would be reckless.

Data from Sparktoro and Datos showed how much AI tools have grown.

However, within the data, the bigger story was how little traditional search declined, holding at 95% for desktop users. 

Pair that with SEMrush research showing users increasing their Google searches before and after using ChatGPT, and the picture is clear: AI isn’t replacing search (yet?), it’s reinforcing it.

Next: AI-driven discovery is accelerating. ChatGPT, Perplexity, and Google’s AI Mode are reshaping how people find and consume information. Ignoring this shift would be just as shortsighted.

Testing is the Bridge that lets you win in both worlds.

  • Optimize for Google today.
  • Experiment with AI retrievability for tomorrow.

So, while LinkedIn warriors debate acronyms, the real advantage comes from testing. Staying anchored in the present without losing sight of the future.

4. Testing in the Age of LLMs, AEO/GEO

Why AI search changes the rules:
AI is shifting discovery from ranking pages to retrieving answers. Context now matters more than individual keywords, and citations matter more than traditional search positions. The takeaway: test and validate this for yourself.

The role of entities and structure
Entities, schema, and semantic alignment give AI systems clarity. Structured data signals who you are, what you do, and why you’re relevant, helping content surface consistently (or does it?).

The new testing frontier
SEO teams must now test and measure for how content is cited in AI outputs:

  • Visibility: does it appear at all?
  • Trust: is it referenced as an authoritative source?
  • Context: is the brand framed accurately?

Concrete examples:

  • Publish two versions of an FAQ page. One framed as conversational Q&A, another as structured bullet points and track which one is more often cited by ChatGPT or Perplexity.
  • Add competing schema types (e.g., FAQ vs. HowTo) to similar content and measure which markup AI systems pull more consistently.
  • Refresh a stats-heavy article with updated numbers and monitor whether freshness increases retrieval mentions.

No shortcuts, only testing
There are no universal “AI SEO” playbooks. The only way to know what works in the new landscape is to do it yourself.

5. The SEO Momentum Loop

Success in SEO doesn’t come from one big breakthrough, but from a system that keeps learning and adapting. The momentum loop captures this process: a self-reinforcing loop where each experiment fuels the next. Instead of chasing silver bullets, you build compounding advantages with faster insights, smarter decisions, and steady growth that never stalls.

  • Step 1: Hypothesize what you think will move the needle.
  • Step 2: Design controlled tests (segment pages, isolate variables).
  • Step 3: Measure results (traffic, rankings, CTR, conversions, AI retrieval mentions).
  • Step 4: Iterate and repeat.

Each test sharpens your strategy, compounding insights into momentum that competitors can’t match. You can run multiple experiments in parallel, and because the loop never stops, your site continually evolves through ongoing iterations and implementations.

6. Conclusion

SEO isn’t dead, best practices are dying and guessing won’t scale. The only durable moat in SEO is testing.

If you’re not testing, you’re guessing, and guessing won’t survive the shift from Google rankings to AI retrieval.

The winners will be those who capture traffic now, test relentlessly for what’s next, and build a culture where SEO is synonymous with experimentation.

The current SEO world is louder than ever.

Depending on who you ask, SEO “died” in 2006, 2009, 2018; or maybe it’s scheduled for 2057. It’s hard to keep track. And then there’s the acronym soup designed to upsell the unsuspecting customer: LLM SEO, AEO, GEO, SGE, AEIOU (and sometimes Y!). But none of this noise really matters. Because in this world, there’s only one thing that consistently cuts through: testing.

SEO testing is the only reliable way to sustain success in today’s Google-first world, and to prepare for tomorrow’s AI-first future.

1. The Problem with “Best” Practices

Traditional SEO used to lean heavily on playbooks: 2% keyword density, 157-character meta descriptions, keyword in the first 100 words, etc.

The scary red and orange suggestion lines from Yoast SEO

For a while, these rules appeared to work. But the cracks were always there. What helped one site rank might flop for another. A page that looked like it was built by Homer Simpson could still outrank a meticulously crafted $100k website.

Today, in the LLM era, “best practices” are more fragile than ever. They aren’t laws of success, they’re hypotheses at best.

And that’s exactly where testing steps in: to bridge the gap between what once seemed universal and what actually works for your site, in your niche.

2. Why SEO Testing is the Core Strategy

Testing is how we move from guesswork to growth.

  • Testing proves reality vs. theory: Best practices may set the hypothesis, but only testing reveals the truth.
  • Testing drives continual iteration. Testing isn’t about one-off wins. It builds a cycle of learning that compounds over time.
  • Testing uncovers competitive advantage. The faster you test, the faster you learn, and the faster you outpace competitors.

Here are some ideas below to get you started. Instead of following the “guru-of-the-week,” you get to find what really creates value for your site.

You should also check out the SEO testing case studies from search pilot.

What Query Fan-Out Looks Like (Example)

Let’s say a buyer asks AI: “What is injection molding?”
An LLM will typically fan out into multiple sub-questions, such as:

Fan-Out Category

Definition
Cost & ROI
“How much does injection molding cost per part?” “Is injection molding cheaper than 3D printing?”
How-To
“How do you design parts for injection molding?” “How do you fix sink marks or short shots?”
Alternatives
“Injection molding vs die casting” “Injection molding vs thermoforming”
Supplier Research
“Who are the best injection molding suppliers in the U.S.?” “What should I look for in an injection molding partner?”
Industry Fit
“Is injection molding good for medical components?” “What industries use injection molding?”

Example Related Queries AI Might Explore

“How does injection molding work?” “What materials are used in injection molding?”

3. SEO’s Dual Reality: Google Now, AI Tomorrow

Now: Google remains the foundation. With ~90% market share, and ~41% of traffic referral, search rankings still drive the majority of traffic and revenue. Ignoring that reality today would be reckless.

Data from Sparktoro and Datos showed how much AI tools have grown.

However, within the data, the bigger story was how little traditional search declined, holding at 95% for desktop users. 

Pair that with SEMrush research showing users increasing their Google searches before and after using ChatGPT, and the picture is clear: AI isn’t replacing search (yet?), it’s reinforcing it.

Next: AI-driven discovery is accelerating. ChatGPT, Perplexity, and Google’s AI Mode are reshaping how people find and consume information. Ignoring this shift would be just as shortsighted.

Testing is the Bridge that lets you win in both worlds.

  • Optimize for Google today.
  • Experiment with AI retrievability for tomorrow.

So, while LinkedIn warriors debate acronyms, the real advantage comes from testing. Staying anchored in the present without losing sight of the future.

4. Testing in the Age of LLMs, AEO/GEO

Why AI search changes the rules:
AI is shifting discovery from ranking pages to retrieving answers. Context now matters more than individual keywords, and citations matter more than traditional search positions. The takeaway: test and validate this for yourself.

The role of entities and structure
Entities, schema, and semantic alignment give AI systems clarity. Structured data signals who you are, what you do, and why you’re relevant, helping content surface consistently (or does it?).

The new testing frontier
SEO teams must now test and measure for how content is cited in AI outputs:

  • Visibility: does it appear at all?
  • Trust: is it referenced as an authoritative source?
  • Context: is the brand framed accurately?

Concrete examples:

  • Publish two versions of an FAQ page. One framed as conversational Q&A, another as structured bullet points and track which one is more often cited by ChatGPT or Perplexity.
  • Add competing schema types (e.g., FAQ vs. HowTo) to similar content and measure which markup AI systems pull more consistently.
  • Refresh a stats-heavy article with updated numbers and monitor whether freshness increases retrieval mentions.

No shortcuts, only testing
There are no universal “AI SEO” playbooks. The only way to know what works in the new landscape is to do it yourself.

5. The SEO Momentum Loop

Success in SEO doesn’t come from one big breakthrough, but from a system that keeps learning and adapting. The momentum loop captures this process: a self-reinforcing loop where each experiment fuels the next. Instead of chasing silver bullets, you build compounding advantages with faster insights, smarter decisions, and steady growth that never stalls.

  • Step 1: Hypothesize what you think will move the needle.
  • Step 2: Design controlled tests (segment pages, isolate variables).
  • Step 3: Measure results (traffic, rankings, CTR, conversions, AI retrieval mentions).
  • Step 4: Iterate and repeat.

Each test sharpens your strategy, compounding insights into momentum that competitors can’t match. You can run multiple experiments in parallel, and because the loop never stops, your site continually evolves through ongoing iterations and implementations.

6. Conclusion

SEO isn’t dead, best practices are dying and guessing won’t scale. The only durable moat in SEO is testing.

If you’re not testing, you’re guessing, and guessing won’t survive the shift from Google rankings to AI retrieval.

The winners will be those who capture traffic now, test relentlessly for what’s next, and build a culture where SEO is synonymous with experimentation.

Match the Buyer Journey

Cover all stages:

Stage

Early
Middle
“How to choose…”, comparisons, use cases
Bottom
Specs, certifications, decision checklists, product pages

Content Types

“What is…”, glossary, beginner explainers

Common questions about AI SEO for manufacturers

How is AI SEO different from traditional SEO for manufacturers?

Do manufacturers still need keywords if AI focuses on answers?

What types of manufacturing content perform best in AI search?

How can manufacturers earn AI citations or mentions?

What tools help with AI SEO?

How often should manufacturers update content for AI visibility?

Is AI SEO relevant for smaller or niche manufacturers?

How can I measure success with AI SEO?

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John Schmitz
SEO Analyst

There are two Johns you need to know in SEO: John Mueller, the head of search at Google, and John Schmitz. John Schmitz is a distinguished SEO Analyst at U.S. Bank and one of the industry's most accomplished search optimization experts. With over seven years of elite-level experience driving exponential organic growth for major brands, including Walgreens and OneIMS, John has mastered the art and science of search visibility.

Learn more >
John Schmitz
There are two Johns you need to know in SEO: John Mueller, the head of search at Google, and John Schmitz. John Schmitz is a distinguished SEO Analyst at U.S. Bank and one of the industry's most accomplished search optimization experts. With over seven years of elite-level experience driving exponential organic growth for major brands, including Walgreens and OneIMS, John has mastered the art and science of search visibility.