Victorious’ AEO Playbook: What We’re Doing and Why

Process-oriented, data-driven, and transparent: Our AEO approach is a natural extension of how our team has handled previous SEO shifts.
5 m read

AI search has arrived — and with it, a wave of doomsaying, half-baked theories, and opportunists rushing to sell the next big fix. And you’re stuck in the middle — fielding pressure from executives who demand a plan, trying to separate the signal from the noise, and craving the clarity you need to chart a path forward.

You’re seeking clarity. This is ours.

This is our focused, tested response, built to help you navigate what’s changing, stay grounded in what still works, and move forward with purpose.

Our playbook is a strategic evolution of the work we’ve always done: helping brands earn visibility in search through content that’s useful, credible, and structured.

At Victorious, we’re not overhauling our approach — we’re refining it.

Answer Engine Optimization (AEO) is the next layer in a strategy already built for adaptability. We’ve updated our workflows, tools, and reporting to align with how AI systems retrieve and reuse content. The foundation stays the same.

This document lays out what we believe about AEO, what’s changing in our process (and why), and what our clients can expect as the shift unfolds. It’s part strategy guide, part internal compass — and built to evolve.

What We Believe About AEO

We believe Answer Engine Optimization is a refinement of SEO. The fundamentals of what makes content valuable haven’t changed. What’s changed is how that value shows up in search.

Our working assumptions:

1. Visibility has moved upstream.

Citations inside AI Overviews are now part of the first impression. Users may not click, but they see, remember, and often return through branded search.

2. Retrieval matters more than rank in many AI environments.

Top results in classic search aren’t always cited. The content that gets reused is modular, clear, and structured to answer.

3. The fundamentals still win, and structure now carries more weight.

Useful, intent-aligned content with clean information architecture is still essential. What’s new is how it gets reused. AI systems retrieve modular sections like clearly labeled H2s and summary-first paragraphs when assembling answers.

In short, we see AEO as a strategic adaptation to changes in the search interface and resulting user experience.

How We’re Adapting Our Process for AEO

We’ve adjusted how we measure and structure content to improve visibility in AI-powered search.

Here’s what we’ve updated:

1. We’re scoring content for retrievability.

We built an internal framework to assess:

  • Whether sections can be cited as standalone answers
  • If each block starts with a summary
  • Whether headings match real search phrasing

This helps us prioritize which content to improve for both retrievability and rankings.

2. We’ve updated content briefs to reflect how retrieval works.

Our content strategists now include:

  • H2/H3 scaffolding that mirrors question clusters
  • Requirements for summary-first paragraphs
  • Formatting guidance for bullets, tables, and modular content blocks

3. We’ve added AEO signals to reporting.

We now track:

  • Citation frequency in AI Overviews (manual and tool-assisted)
  • Branded search lift resulting from citations
  • Retrievability scores in conjunction with SEO performance

4. We’re focusing equally on formatting clarity and search intent.

Answer engine visibility depends on what you say and how effectively you structure your content for reuse. Our workflows now account for both.

We’re adjusting how we structure content so it’s more likely to be cited, trusted, reused, and remembered.

What We’re Telling Clients (and Why)

Our clients trust us to lead with clarity, not buzzwords. That means being honest about what’s changing, staying grounded in what still works, and focusing on what matters most: long-term visibility.

Here’s the message we’re sharing:

“Don’t panic. You don’t need to change your strategy. You need to refine it.”

Search isn’t dead. It’s evolving. 

“You’re probably already doing 70% of what you need to do for AEO.”

Most of our clients already create content that’s useful and aligned with intent. Optimizing for answer engines will require small tweaks to formatting to improve retrievability. You don’t need to start from scratch.

“The core strategy hasn’t changed. We’re just optimizing for how answers get delivered.”

Instead of ranking alone, we’re optimizing for:

  • Modular structure
  • Summary-first sections
  • Query-aligned headings

“We’re not guessing about what will work. We’re running smart experiments.”

Our approach to AEO is measured, not reactive. We test, track, and scale what works, just like we’ve always done with SEO.

How We’re Testing, Measuring, and Iterating

We’re approaching AEO as a product, testing, refining, and evolving continuously.

Here’s how that looks in practice:

1. Running structured pilots.

We’re applying AEO formatting principles to high-impact content such as pillar pages, conversion paths, and frequently linked resources, and we’re comparing performance across:

  • Citation frequency in AI Overviews
  • Branded search lift
  • Changes in time-on-page or downstream conversions

2. Logging what AI actually uses.

We manually track:

  • Where and when our clients’ content is cited
  • What types of content blocks get reused
  • How formatting impacts inclusion

This helps us build a clearer picture of what retrievability really looks like across verticals.

3. Scoring retrievability in content audits.

Every Content Audit now includes a retrievability layer. We score for:

  • Modular structure
  • Summary-first sections
  • Query-aligned headings

Pages that perform well become models for new content production and existing content optimizations.

4. Feeding findings back into strategy.

We’ll continue to refine our briefs, templates, and topic models based on what AI systems actually surface, not just what we think they should.

We’re not relying on luck. We’re building a repeatable process that improves with each iteration.

What We’re Not Doing

As important as explaining what we are doing to adapt to AI search, it’s equally important to be clear about what we’re not doing. AEO is not an excuse for panic or poor strategy disguised as innovation.

We’re not:

1. Rewriting everything for AI.

We’re optimizing commercially valuable content first, focusing on the pieces with the most strategic visibility. We’re not overhauling full websites just to check a box labeled AEO.

2. We’re not making promises we can’t validate.

We won’t say, “This will get you cited.” We’ll say, “This makes your content easier to retrieve, cite, and reuse.” That distinction matters.

3. We’re not treating AI visibility like a shortcut.

We’ve seen the same trends as everyone else: quick fixes, AI-generated filler, schema spam. We don’t do any of that. We optimize for usefulness over gimmicks.

4. We’re not separating AEO from SEO.

AEO is not a separate department or disconnected track. It’s a refinement of the work we already do. These principles are part of our briefs, audits, content strategy, and reporting. They are integrated, not isolated.

5. We’re not using AI as a sales tool.

We won’t overstate the impact of this shift to win a pitch. We’d rather help you win visibility through steady, evidence-backed iteration.

AEO is a layer, not a detour. And our job is to lead you through it, not rush you into a playbook we haven’t tested ourselves.

Our Commitment to Clients and Partners

We’ve built our reputation on performance, transparency, and trust, and that remains true even as the search landscape evolves.

As AEO changes how visibility works, here is what you can continue to expect from us:

1. Transparency

We’ll show you what we’re testing, what we’re learning, and where we’re seeing results. If we don’t have an answer, we’ll say so and follow up with one.

2. Precision

We won’t make sweeping changes or chase trends. We’ll adapt with focus, starting with the content and strategies that matter most.

3. Evidence-based strategy

Our AEO updates are grounded in real patterns we’ve observed across verticals: what gets cited, what formats show up, what content gets reused.

4. Shared visibility

We’ll keep you informed with annotated screenshots, AI visibility logs, and ongoing briefings as the landscape evolves.

5. Performance-first thinking

We’re not optimizing for AI readiness as a trend. Our goal is to help you reach more of the right audience at the right moments through ranking and reuse.

Our commitment remains the same: to make search work harder for you. AEO simply adds another way to achieve that.

The Playbook Will Evolve, But The Focus Won’t

Answer Engine Optimization is not a reset. It’s a refinement. The principles we’ve always prioritized — clarity, intent, and usefulness — are still paramount. What’s changed is the lens: how search and answer engines read, retrieve, and reuse content.

This playbook reflects where we are now. It will continue to evolve as we test, measure, and learn. But the focus will stay the same.

We’ll keep building visibility through strategic structure, clean formatting, and content that delivers real answers to real people.

And we’ll continue to do it the way Victorious always has:

  • Backed by process
  • Grounded in data
  • Transparent in how we evolve

Helping you show up in search is not about chasing the next big thing. It means leading with what works and adapting with purpose when it matters.

That’s our playbook.

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