From the very beginning of our partnership with AToN Center, we understood that success wouldn’t come from volume alone. Rather than producing blog posts after blog posts, we developed an Addiction Treatment SEO strategy centered on flexibility, precision, and a deep understanding of how trust and authority operate in an evolving search landscape.

Service Page First: Building Authority Where It Counts

Instead of relying solely on new content, we focused on the high-value service pages that reflect AToN Center’s core offerings, such as luxury residential treatment and non-12-step treatment. 

These weren’t just keyword targets; they were opportunities to demonstrate expertise, build trust, and ultimately convert visitors.

Re-optimizing these pages has involved:

• Implementing modern SEO best practices

• Adding FAQ sections to align with AI-friendly, structured formats (FAQ section example)

• Embedding media and visual assets for richer engagement

• Using accordion elements for better UX and to enhance scannability

• Featuring on-page banners indicating medical staff review, which not only boosts perceived authority but also supports EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness)

Rather than treating each page as a one-time project, we developed a cadence of ongoing page refreshes and UX enhancements to keep them both relevant and AI-friendly.

This level of detail and care signals to both human users and AI systems that AToN Center is a credible source, worthy of citation and surface-level visibility in AI-powered search results.

Blog Re-Optimizations: Watering Our Garden, Not Just Planting Seeds

Our broader strategy focused on turning content into brand assets that AI systems would recognize, reference, and rank.

We prioritized re-optimizing existing blog content that had historically performed well, rather than simply publishing new content for volume’s sake.

In parallel, we’ve gone back and revitalized AToN Center’s historically well-performing blog content. Blogs that may have ranked well years ago are now being updated to include:

• Structured FAQ sections

• Internal linking to updated service pages (Internal Linking Example)

• Formal citations to boost trust and context

• Content refreshes that maintain topical relevance (Ongoing Re-Optimization Example)

Why? Because the data is clear: pages that rank in Google and appear in AI Overviews are rarely new. 

In fact, the average top-performing page is over five years old, and the brands showing up in AIO boxes aren’t necessarily publishing more—they’re publishing better, and they’re getting cited.

Our strategy embraces the idea that great content, when properly maintained, continues to earn relevance. 

Periodic content audits, refresh cycles, and enhancements with media and structured data allow us to stretch the lifespan and value of existing assets rather than continuously reinventing the wheel.

From Visibility to AI-Driven Conversions

One of the biggest challenges we faced was re-engaging with older content that had previously ranked well, but was falling behind in a rapidly evolving search landscape. 

The fix was our content re-optimization protocol, a recurring process of re-auditing, updating, indexing and enriching existing content assets with the latest SEO, UX, and EEAT best practices.

By taking a “gardener’s approach” to SEO, continually tending to and refining AToN Center’s most valuable content assets, we’ve not only boosted traditional rankings but also enhanced the brand’s visibility in Google’s AI Overviews and across AI-driven search platforms like ChatGPT.

Rather than producing direct conversions from AI search, this expanded visibility is helping more referral-based and high-intent prospects (like those who’ve had AToN recommended by their therapist) find and trust the brand when they independently validate that recommendation online.

In other words, AI isn’t just generating demand, it’s reinforcing it. We’ve seen this amplified presence lead to stronger conversion rates and more informed inquiries.

We’re now seeing signs of that visibility translating into AI search-driven conversions because AToN Center is appearing not just as a blue link, but as part of the answer.

AToN is now showing up prominently in branded and topical queries across AI results, increasing visibility and supporting trust-building at pivotal moments in the decision-making process.

Why This Strategy Works

Recent data from Ahrefs shows that brands with strong visibility across the web, not just on their own sites, earn exponentially more citations in AI search results. 

We’ve designed AToN’s campaign around that very idea:

• Invest in long-term content assets instead of one-off posts

• Create trust signals like medical review banners and structured citations

• Enhance visibility through branded mentions and contextual authority

• Use AI tools where they help, but rely on human expertise where it matters

In short, AI won’t reward content that isn’t ready. However, when you treat every page like a future top performer, build brand equity beyond the site itself, and continuously improve your content library, visibility naturally follows and now plays a supporting role in real-world referrals.

That’s how AToN Center is winning, not just in rankings, but in relevance.

Want a strategy like this for your brand? Reach out to Sachs Marketing Group to learn how we’re helping clients thrive in the AI-first era of search.

FAQ: Increasing SEO Visibility in the Age of AI Overviews

How do AI Overviews impact traditional SEO rankings? 

AI Overviews can intercept clicks that would normally go to your site, even if you’re ranking in the top three. 

While your rank may remain high, your traffic might drop if AI answers the question directly on the results page.

What are some actionable ways to improve visibility in AI Overview results?

• Include structured data like FAQs and how-to sections

• Reoptimize older content for freshness, clarity, and authority

• Build branded mentions across digital PR, forums, and third-party content

• Focus on creating content that is insightful, trustworthy, and backed by expert review

Can AI Overview visibility translate into tangible business outcomes?

Yes – both directly and indirectly. 

When your brand appears as part of an AI-generated answer, you’re introduced to a qualified user in a position of high intent. We’ve already seen signs that our clients’ visibility in AI results contributes to lead volume.

On the indirect side, in the case of AToN, this visibility plays a crucial role in supporting decision-making for prospective clients who were referred to AToN by their therapist, physician, or another trusted source. 

These individuals often use AI-powered tools to validate recommendations, and when AToN shows up in those results with authoritative, trustworthy content, it reinforces brand trust and drives action.

Is blogging still important for SEO?

Absolutely. But instead of just producing new content, it’s equally (if not more) valuable to maintain and reoptimize older posts. 

SEO is no longer about volume; it’s about strategic visibility.

The post SEO and AI Search Case Study: How AToN Center is Expanding in AI Search, and Converting appeared first on Sachs Marketing Group.

The digital marketing world is undergoing a seismic shift. 

With the rollout of Google’s AI Overviews (AIOs) now appearing in over 16% of U.S. search queries—up from just 7.6% a few months ago (Ahrefs, AI Overview Growth, 2025)—and platforms like ChatGPT and Perplexity offering AI-generated answers with growing visibility, it’s no surprise that clients and marketers alike are asking: Is this the end of traditional SEO as we know it?

At the same time, new reports and case studies are flooding the industry with speculative insights about “ranking in ChatGPT,” entity SEO, and declining click-through rates—even when page rankings haven’t dropped (Ahrefs, AI Overview Brand Visibility Factors, 2025). This creates a challenging environment: one where headlines scream disruption, but actionable guidance remains limited and often contradictory.

As a digital marketing agency, we understand the confusion that arises. But here’s our position: we’re not here to chase trends—we’re here to guide strategy. 

That means watching these developments closely, testing where appropriate, and advising our clients based on what has proven effective, not just what is new. We believe that real leadership in digital marketing means striking a balance between innovation and strategic discipline. And that’s exactly what we intend to do.

What AI Overviews Are Actually Changing (and What They’re Not)

Since Google’s March 2025 Core Update, AI Overviews (AIOs) have expanded rapidly, now appearing in 16.48% of all U.S. keyword searches, more than doubling from 7.6% earlier in the year (Ahrefs, 2025). 

This growth has altered how users interact with search results, even when traditional rankings remain unchanged. In fact, pages that still hold the **#1 organic position have seen an average 34.5% drop in click-through rates, indicating that AIOs are intercepting user intent before it translates into a site visit (Ahrefs, 2025).

This shift isn’t just about where you rank—it’s about whether you’re visible in AI-generated answers at all. Recent analysis of 75,000 brands has shown that traditional SEO signals, such as backlinks and domain authority, play a minor role in AI Overview visibility than previously assumed. Instead, the strongest correlations were with branded web mentions (0.664), branded anchor text (0.527), and branded search volume (0.392) (Ahrefs, 2025).

In short, Google is evolving from a link-based index to a language model-driven system, where being talked about across the web matters more than what’s written on your site. This represents a shift in visibility, not yet a ranking revolution. If your brand isn’t part of the broader conversation – across PR mentions, forums, social media, and third-party citations – it likely won’t show up in AI Overviews, regardless of your traditional SEO strength.

LLM Search and “Ranking” in Tools Like ChatGPT and Perplexity

Large language model (LLM) platforms, such as ChatGPT, Perplexity, and others, are beginning to surface new types of answers in response to search-like queries, creating buzz around the idea of “ranking” within AI-generated responses. This shift has introduced a new discipline known as Answer Engine Optimization (AEO).

AEO is the process of optimizing your content and brand visibility for inclusion in AI-generated answers, particularly in platforms that aim to summarize information or deliver direct responses without requiring users to click through to a source. Unlike traditional SEO, which targets ranked placement on a page, AEO focuses on entity recognition, relevance scoring, and appearing as a cited or inferred source in AI outputs, often without a direct link.

However, despite the increasing visibility of AEO-style placements, there is currently no reliable correlation between appearing in these results and driving measurable traffic or conversions.

Critically, most LLM tools do not currently provide consistent attribution, meaning even when your content is cited, it’s often unclear where the credit goes, or whether users follow up on it. As Ahrefs notes, the utility of these appearances is limited when there’s no clear path back to your site or brand (Ahrefs, AI Content Marketing 101).

While tools are beginning to experiment with “source-aware” responses (like Perplexity’s citations), the commercial impact remains speculative. Many of the “LLM ranking” insights circulating in the industry are in their early stages, with limited real-world implications for strategy and policy. Currently, these placements serve more as indicators of topical relevance than actual marketing successes.

That’s why our agency is taking a balanced approach. We’re monitoring emerging platforms, testing where we can, but not overreacting. We’re not rebuilding campaigns based on experimental ranking systems—we’re grounding decisions in data, user behavior, and performance-driven metrics that matter.

Impacts on Google Ads: P-Max and AI-Generated Results

AI-generated search experiences and Google’s aggressive push toward automation are reshaping the role of paid media, especially through tools like Performance Max (P-Max).

As AI Overviews claim more space in SERPs, click-through rates on both organic and paid results have declined. This means fewer total ad clicks, but the users who do click are often showing stronger intent. The game is changing from volume to quality.

Performance Max campaigns, powered by Google’s machine learning, offer a response to this shift. By running ads across all Google properties (Search, YouTube, Gmail, Discover, Display, and Maps), P-Max leverages AI to place ads where they’re most likely to convert, regardless of where the user journey starts.

But while reach and efficiency have grown, transparency has decreased. Advertisers now face a balancing act:

Strategic Input

Campaign success increasingly depends on high-quality audience signals, creative variety, and clear conversion goals.

Measurement Gaps

As AI Overviews disrupt user paths and privacy changes obscure attribution, it becomes harder to track what is truly driving performance.

Brand Visibility

Ads are most effective when paired with strong brand recognition, especially as AI systems favor established entities in their summaries.

Smart advertisers are adapting by combining the reach of P-Max with disciplined oversight, which includes rigorously testing creative assets, setting custom conversion actions, and layering brand-building initiatives across video and display.

In short: Google Ads isn’t going away. But the advertisers who succeed will be those who evolve alongside it, blending automation with strategy, and brand with performance.

Our Strategic Position: Smart SEO + Strong Brands Will Win

SEO today is no longer just about keywords and backlinks—it’s about building a brand that earns recognition across the web. 

As AI Overviews and large language models (LLM) search interfaces reshape how information is surfaced, Google is shifting from a traditional link index to an entity-driven ecosystem. That means visibility increasingly depends on how often and how meaningfully your brand is mentioned, not just how well your site is optimized.

We’re evolving our strategy to prioritize branded mentions, digital PR, and content that gets cited, not just crawled. Our campaigns integrate these off-site brand signals with strong on-site fundamentals, including technical SEO, UX, and evergreen content planning. These foundational elements still matter more than ever – they ensure the content we publish today has the staying power to earn visibility tomorrow.

Smart SEO is no longer about chasing short-term rankings; it’s about building long-term relevance that AI systems can recognize, trust, and amplify.

What Clients Should Expect From Us

At Sachs Marketing Group, we believe in ongoing updates, not overreactions. The rise of AI, LLM-generated search experiences, and evolving ad formats, such as Google’s Performance Max, represent fundamental shifts in how users engage with digital content. 

Still, they don’t warrant knee-jerk strategy changes. Instead, clients can expect a steady, informed approach. We’re actively testing new features, tracking performance patterns, and analyzing visibility shifts as they develop, while continuing to report transparently on what we learn. 

Our strategy recommendations are grounded in evidence, not industry buzz. And if the landscape does demand real pivots, whether in SEO, content, or paid media, we’ll communicate those shifts clearly, proactively, and with your long-term goals in mind.

Staying Ahead Without Losing Focus

AI will continue to evolve, and so will search. 

At Sachs Marketing Group, we’re committed to helping our clients navigate these changes with clarity, confidence, and a proven strategy, all while maintaining focus on what actually drives results.

We believe in optimizing for humans first, algorithms second. When you do that, AI visibility tends to follow.

If you’re an existing client and would like to discuss how these shifts may impact your campaign, please reach out to your account team, we’re here to support you.

If you’re exploring digital marketing support during this volatile time in SEO and PPC, contact us today to strengthen your presence and get ahead of the curve.

The post The AI Surge in SEO, LLM Search, and Google Ads: How We’re Navigating the Next Chapter of Digital Marketing appeared first on Sachs Marketing Group.