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What happens when a small law firm goes head-to-head with giants—and wins? In 2025, visibility in AI-driven search is no longer about keyword stuffing or backlinks. It’s about showing up in how AI answers questions.
For Patino Law Firm in Texas, the turning point was a strategic embrace of Generative Engine Optimization (GEO)—a cutting-edge approach that secured their presence not just in traditional search, but in the emerging world of AI Overviews.
By combining local SEO, high-converting content, and future-proof GEO tactics, the campaign drove a 727% increase in monthly leads, a 299% boost in organic sessions, and top rankings in competitive cities like McAllen and San Antonio. Every move—from optimizing their Google Business Profile to rewriting blog content for AI summarization—was designed to meet how users now discover information: through AI-curated answers.
This wasn’t just adaptation—it was strategic evolution.
In this article, we’ll unpack the Top 5 GEO strategies & tactics that powered this growth. Whether you’re a marketer, agency, or business owner, these forward-thinking methods will show you how to stay visible—and competitive—in a rapidly changing search landscape dominated by AI.
In hyper-competitive industries like legal services, GEO success isn’t just about climbing rankings — it’s about staying visible as AI reshapes the search experience. The winning tactic here is to future-proof local SEO with AI-ready content.
Instead of relying only on traditional map pack dominance, the approach combines local optimization with content structures that AI engines can readily parse and cite.
This method works because AI systems like Google’s AI Overviews and ChatGPT often prioritize clear, question-based answers that mimic conversational queries. For local businesses, this means blending traditional SEO best practices (Google Business Profile optimization, review generation, local landing pages) with GEO-specific formatting: structured FAQs, concise explanations, and schema markup.
The result? A foundation that performs today and adapts seamlessly to tomorrow’s AI-driven search experiences.
This campaign was led by Exposure Ninja, an AI and search marketing agency known for scaling visibility in competitive markets. Their client, Patino Law Firm, is a Texas-based personal injury practice that had long struggled against national firms dominating search in McAllen and San Antonio.
Exposure Ninja rebuilt the firm’s digital presence from the ground up. They modernized the website for speed and conversion, rewrote outdated service and location pages, and launched a blog strategy focused on real legal questions clients were asking. Local SEO was the foundation — optimizing the firm’s Google Business Profile and deploying ethical review-generation strategies that consistently secured top-three map pack positions.
When AI Overviews began surfacing in Google results, Exposure Ninja pivoted quickly. They adapted content into AI-friendly structures: rewriting pages to directly answer question-based queries, embedding interactive tools like a Personal Injury Calculator, and ensuring every piece of content was structured with E-E-A-T in mind. This proactive embrace of GEO meant that Patino’s visibility grew stronger, not weaker, as traditional SERP features like map packs became less prominent.
Consistent inclusion in AI Overviews kept visibility strong even when map pack presence fluctuated.
The key to success was adaptability: traditional SEO secured the base, while GEO ensured long-term resilience.
If you’re in a competitive local market, don’t just optimize for today’s SERP — build AI-ready content that answers questions in ways engines can cite. It’s not enough to rank locally; you need to prepare for a world where generative search becomes the default experience.
Check out the 5 GEO Campaigns Redefining Digital Visibility in the Age of AI
One of the most effective GEO strategies right now is reverse-engineering AI Overviews. Instead of guessing what Google’s AI might surface, this approach analyzes the actual structure, tone, and citation patterns of existing AIOs. Then, it strategically adjusts content to mirror the formats most frequently rewarded with citations.
Why it works: AI doesn’t just look for keyword density — it favors structured, comprehensive answers that align with user intent. By comparing your own content with already-cited competitors, you can identify missing subtopics, formatting styles, and depth signals that improve your chances of being cited.
This is a proactive rather than reactive method: instead of waiting to lose traffic, you intentionally shape content for AI discovery.
This campaign was led by Brafton, a content marketing agency with a strong focus on aligning SEO strategies with emerging AI search behaviors. Their client, a major international educational services company specializing in exam preparation, had a clear challenge: while their site already ranked well for several competitive terms, Google’s AI Overviews (AIOs) weren’t citing their content.
Competitors were winning visibility in these AI-generated answers, siphoning away authority and attention at the exact moment students were searching for test prep guidance.
Brafton responded with a reverse-engineering approach. Their SEO team began by auditing the client’s keyword footprint, flagging terms that triggered AIOs but excluded their site. They didn’t stop at keywords: they dissected how AIOs presented information — tone, formatting, subtopics — and compared that structure against the client’s pages. Where the client’s content was underperforming, Brafton identified specific gaps, from missing detail to lack of scannable formatting.
Armed with these insights, they rolled out content optimization recommendations that bridged the gap between traditional SEO and AI-readiness. The updates included expanding topical coverage, restructuring layouts to match AIO-friendly patterns, and tightening tone for clarity.
Within weeks, the client’s URLs began surfacing in AIO citations — proof that GEO-driven refinements could quickly shift authority in AI search experiences.
This wasn’t about chasing every query. It was about precision targeting: identifying the right opportunities and reformatting strategically. The payoff was both visibility in AI Overviews and improved organic performance.
Don’t guess what AI will cite — reverse-engineer the Overviews. Audit queries, analyze cited competitors, and adjust your content’s format and depth to match the AI’s output style. It’s the difference between being visible and being invisible in generative search.
Check out the Google AI SEO: Your Ultimate Guide to Mastering AI-Driven Search
The third winning tactic is shifting focus from “ranking first” to “owning the SERP experience.” In an AI-driven world, blue links aren’t enough — Featured Snippets, AI Overviews, and other zero-click formats increasingly dominate user attention. Instead of chasing #1 rankings, this strategy restructures content to target SERP features intentionally.
This works because generative engines and SERP features reward clarity, structure, and intent alignment. Content that directly answers questions in scannable, AI-friendly formats often gets pulled into Overviews or Snippets. By designing content updates with these goals in mind, brands can reclaim visibility even when organic rankings slip.
This campaign was executed by Seer Interactive, an agency known for blending data-driven SEO with AI-powered optimization. Their client, a leading outdoor living brand, had a solid base of organic authority but was losing visibility as AI Overviews and Featured Snippets increasingly pushed traditional blue links down the SERP.
Even content that historically performed well was struggling to attract traffic in a zero-click search environment.
Seer saw the writing on the wall: ranking #1 was no longer enough. They proposed a two-month optimization sprint targeting 11 of the brand’s most promising articles. The goal wasn’t just incremental SEO improvements — it was to win SERP feature ownership. To achieve this, Seer restructured content to deliver concise, scannable answers directly aligned with homeowner queries.
They also used ChatGPT as an analytical assistant, comparing competitor outputs with AIO and Featured Snippet patterns to refine structure, tone, and depth more efficiently.
By designing updates specifically for SERP features rather than rankings, Seer gave the client’s content a new edge. Instead of slipping further down in visibility, the brand surged into AI Overviews and Snippets, recapturing audience attention where it mattered most. Within months, their content not only regained lost ground but outpaced competitors, cementing them as a front-runner in AI-driven search experiences.
By pivoting away from rank obsession, the brand repositioned itself as an AI-first visibility leader.
Traditional SEO is about ranking first; GEO is about being the answer. Reframe your content strategy around SERP feature ownership, and you’ll future-proof visibility even as zero-click search dominates.
Check out the How to Use AI for Smarter On-Page SEO That Drives Results
In sectors like financial services, simply producing content isn’t enough — it must be engineered for SERP feature dominance. The winning tactic here is combining performance-led keyword research with AI-optimized content structures that align with how large language models (LLMs) parse, summarize, and cite sources.
What makes this unique is the deliberate balance: not just creating content to rank, but structuring it to appear in AI Overviews, featured snippets, and other SERP features where attention increasingly consolidates.
This means rewriting content to directly answer intent-based queries, aligning narrative flow with how AIOs summarize, and continuously re-optimizing based on real-time performance signals.
For financial services, especially, where trust and authority dictate visibility, GEO isn’t just future-proofing — it’s the difference between being cited as the expert or ignored entirely.
This campaign was led by Brafton, who partnered with a leading American financial advisory and investment company at risk of losing ground in an AI-first SERP. Despite steady organic traffic, their site suffered from declining click-through rates: AI Overviews were increasingly answering questions without driving users to click deeper. Those who did click through often showed low engagement and weak conversion behavior.
Brafton’s solution was a comprehensive GEO content framework. Their team began with keyword and gap analysis, pinpointing terms where the brand could realistically compete for AIO citations.
Next, they ideated localized, intent-rich topics that aligned with both user needs and business goals, ensuring that each page had a clear conversion path. Importantly, Brafton rebuilt content to match AI Overview structures — breaking down answers into concise sections, integrating financial authority signals, and embedding conversational phrasing that mirrored LLM response styles.
The agency didn’t stop at first drafts. Pages were continuously re-optimized based on AIO behavior, tracking which structures and narratives generated citations. By applying this iterative process, Brafton helped the advisory firm reclaim visibility across AI-driven features and improve session quality.
The content not only surfaced more often but also drove higher-quality engagement, evidenced by a +17% increase in time on site. This showed that users arriving via AI-driven features were more qualified and engaged.
If you operate in finance or other trust-sensitive industries, treat GEO as content engineering, not just optimization. Align your narratives with how AI structures answers, and you’ll own SERP features that competitors miss.
Check out the GEO Optimization: Advanced Strategies for AI Search Results
Sometimes the best GEO strategy isn’t just optimizing for AI — it’s simulating AI’s decision-making process to understand why your content is being excluded in the first place. This approach, pioneered in the CRM space, involves replicating the logic of AI Overview selection: dissecting ranking factors, analyzing how content is chosen for inclusion, and then retooling existing assets to fit those requirements.
Why it works: generative engines don’t cite based purely on rankings. They weigh formatting, metadata, clarity, and alignment with question-based prompts. By modeling those filters internally, brands can identify exactly what’s missing and fix it proactively. It’s a smarter, faster route than waiting to “see what sticks.”
This campaign was delivered by DEPT®, a global digital agency known for its AI-forward marketing solutions. Their client, a global CRM provider, faced a frustrating paradox: despite dominating traditional SEO rankings for CRM-related queries, they were completely absent from Google’s AI Overview results for a crucial question — “What is a CRM database?”
DEPT®’s team built a simulation framework that mirrored how AI Overviews assemble and cite answers. The analysis revealed that while the client’s content was technically strong, it lacked the structural markers and metadata that generative engines rely on. AI tools favored competitors who packaged definitions in direct, scannable formats, while the client’s content was buried in longer, less AI-friendly explanations.
With these insights, DEPT® restructured the key page to highlight definitions at the top, tightened metadata for real-time processing, and reformatted sections into AI-ready blocks — short, structured, and answer-focused. This wasn’t about overhauling the content’s expertise; it was about presenting authority in AI’s preferred language.
By simulating AI’s logic, DEPT® helped the CRM brand secure space in one of the highest-value definitional queries in their sector, strengthening authority at the top of the funnel.
Don’t assume SEO dominance guarantees AI visibility. Simulate AI’s selection process to uncover gaps, then structure your content for inclusion. In GEO, it’s not just about being authoritative — it’s about being AI-readable.
Check out the Find Trending Keywords with Ease: A Step-by-Step Guide
The rise of generative search has changed the rules of visibility, and the campaigns we’ve reviewed prove one clear point: GEO isn’t optional — it’s essential. What sets these strategies apart isn’t just technical SEO, but the creative ways agencies anticipated how AI interprets, cites, and surfaces content.
Exposure Ninja, Brafton, Seer Interactive, and DEPT® each demonstrated that success in the GEO era requires engineering content for AI rather than simply optimizing for rankings.
From local law firms to global SaaS providers, the winners are those who treated GEO as a living framework — flexible, experimental, and deeply tied to how users now consume information.
For marketers, the lesson is simple: adapt or disappear. AI Overviews and zero-click SERPs aren’t “around the corner” — they’re here. By embracing GEO strategies and tactics today, you position your brand to not only hold visibility but expand it into new, AI-first spaces.
Here’s a quick recap of what made each strategy stand out:
The next wave of digital visibility belongs to the brands willing to experiment, restructure, and think beyond blue links. With the right GEO playbook, your brand can be one of them.
While SEO emphasizes keyword rankings, GEO is about structuring information in ways AI can surface in generative results. Techniques like AI SEO content writing help ensure material is machine-readable and aligned with LLM-driven search patterns.
Yes — platforms like Perplexity AI deep research tool can uncover how queries are structured, helping marketers design content more likely to be cited in AI Overviews.
Strong ChatGPT prompts allow marketers to simulate user queries and test how well content might perform when interpreted by generative search engines.
Marketers are beginning to use SEO reporting tools that now incorporate AI-specific visibility metrics, tracking whether content appears in Overviews or zero-click search features.
Yes, focusing on intent-rich terms and applying ChatGPT sorting keywords can help marketers identify which queries are most likely to generate AI-driven visibility.
Generative optimization aligns closely with LLM SEO, which focuses on ensuring that content is structured in ways that large language models can reference reliably.
Certain aspects, like schema markup and FAQ generation, can be accelerated with automated AI SEO, though oversight is crucial to maintain accuracy and brand voice.
Because user discovery increasingly bypasses traditional search, achieving visibility in ChatGPT and Perplexity means being present at the exact point where decisions are influenced.
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