Client: Artisan Aesthetics Plastic Surgery & Laser Center, Tampa, FL
Services: Content Marketing • SEO • Generative Engine Optimization (GEO)
Marketing Challenges
Before partnering with GDP, Artisan Aesthetics Plastic Surgery & Laser Center was struggling with generic traffic and low-converting keywords. Specifically search phrases like “what is the recovery like with breast augmentation” brought irrelevant or unqualified visitors. In truth, their previous digital marketing agency downplayed SEO’s importance. Then GDP stepped in and helped us imßplemtnenting SEO and GEO strategies to boost our local searches.
SEO and GEO Strategies – Client Success Story
Generative Engine Optimization (GEO) Tactics for AI Visibility
Enhanced physician credibility: highlighted Dr. Stan Castor with qualifications, credentials, and embedded photo. Structured content formatting to align with AI digestibility: direct Question and Answers (Q&A) section, citations, and quick summaries. Optimized for AI models (ChatGPT, Google AI Overview, Claude, Perplexity) and trained Google’s algorithms via frequent reviews, updates, and publisher signals.
In-Depth Keyword and Topic Research
We identified the long-tail keyword “breast surgical procedures Tampa”. One of the highest-converting search terms with strong local intent.
Content Creation and SEO Optimization
Prompt, detailed, and well-structured blog post created "Clarifying Breast Surgical Procedures: Augmentation, Lift, Reduction, and Implant Revision Explained." Used clear headings and bullet lists. Included FAQs and internal links throughout. Implemented schema markup for improved AI recognition
SEO and GEO Strategies – Why It Works: The GDP Difference
To point out, by combining expert-level content creation, advanced prompt engineering, traditional SEO, and GEO practices.
Not only does GDP elevate Artisan Aesthetics into Google’s AI Overview for a high-intent search query. But also cementing trust in Dr. Stan Castor. Further boost patient acquisition organically.
Marketing Components
1. Traditional SEO enhancements tailored to medical compliance and local intent.
2. Generative Engine Optimization (GEO) for ChatGPT, Google’s AI Overviews, and Perplexity.
3. Implemented a dual-front approach, boosting brand and physician credibility and authenticity.
GDP Solutions
1. Engaging content marketing optimized under Google’s Helpful Content guidelines.
2. Structured content depth and clarity for AI models, with schema, Q&A format, and citation-ready layout.
3. Expert positioning for Dr. Stan Castor via internal linking, bios, and imagery.
SEO and GEO Strategies – Real Time Results
1st-Page Placement in Google AI Overview
Blog post titled “Clarifying Breast Surgical Procedures” ranks in Google’s AI Overview for the search query “breast surgical procedures Tampa.”
Increased Patient Trust and Engagement
Patients searching this term now see Artisan Aesthetics as the go-to authority, with direct name recognition and clear, informative content.
Improved Organic Traffic and Conversion Signals
Ranking in the AI Overview position has led to increased lead generation in targeted clicks, longer time on page, and higher inquiries booked via the website.
Top Expert Citation
Dr. Stan Castor is featured and ranked as the first board-certified surgeon listed among competitors in “breast implants exchange Tampa” and “Brazilian butt lift Tampa.”
Website Site Optimization
Before and After Picture Gallery, Downloadable Resources, and Blog load times were reduced, resulting in lower bounce rates and increased patient engagement.
Increased Lead Quality
Significant shift from generic to high-intent keywords like “tummy tuck Tampa,” “breast aug Tampa,” and “lipo Tampa,” resulting in more relevant form submissions and phone inquiries.
Looking for Similar Results?
Artisan Aesthetics sought to reach more patients in the Tampa Bay and surrounding areas. In particular, patients are searching for detailed breast surgery and Brazilian butt lift (BBL) procedures. Subsequently, the clinic wanted to appear prominently not only on Google’s traditional results, but also in AI-powered summary boxes. For this reason, trusted and visible content is required, where patients expect the most authoritative answers.
If you’re ready to dominate AI-powered search and elevate authority in your field, schedule your complimentary strategy session at GDP today. Nevertheless, we can unlock your lead generation potential with dual SEO and GEO strategies. Let’s make your expertise stand out.
SEO and GEO Strategies – Frequently Asked Questions
1. What is Generative Engine Optimization?
To point out, generative Engine Optimization is a process that uses algorithms and artificial intelligence to optimize and improve the performance of a generative engine.
2. How does Generative Engine Optimization differ from traditional SEO?
While traditional SEO focuses on optimizing websites for search engines. On the other hand, generative engine optimization goes a step further by optimizing the generation process itself to produce better results. However, both SEO and GEO strategies complement each other.
3. What are the benefits of Generative Engine Optimization?
In short, generative engine optimization can improve the quality and relevance of generated content and increase efficiency. As well as reduce costs in content creation, and ultimately drive better results for businesses.
4. How does Generative Engine Optimization work?
To list, generative engine optimization uses machine learning algorithms. Subsequently, analyze patterns and trends in data to optimize the generative engine’s output.
5. Can Generative Engine Optimization be applied to all types of generative engines?
Certainly, generative engine optimization can be applied to various types of generative engines. Such as text generators, image generators, and even code generators.
6. How long does it take to see results from Generative Engine Optimization?
To emphasize, the duration to witness outcomes from optimizing a generative engine fluctuates. Although it hinges on the intricacy of the engine itself and the precise objectives of the optimization process.
7. Is Generative Engine Optimization a one-time process or ongoing?
In general, generative engine optimization is an ongoing process that requires continuous monitoring and adjustment to ensure optimal performance.
8. How can I measure the success of Generative Engine Optimization?
Success in generative engine optimization can be measured by improvements in content quality. Also, efficiency gains and ultimately, better business outcomes.
9. Are there any risks associated with Generative Engine Optimization?
Certainly, there are potential risks associated with generative engine optimization. For instance, unintended biases in generated content or technical issues with the optimization process.
10. Can Generative Engine Optimization help with content personalization?
Of course, Generative engine optimization can help tailor generated content to specific audiences. Further, it allows for more personalized and engaging experiences.
11. What are some best practices for Generative Engine Optimization?
Best practices for generative engine optimization include regular testing and tweaking of algorithms. Moreover, monitoring performance metrics and staying informed on the latest developments in AI and machine learning.
12. How can businesses get started with Generative Engine Optimization?
In fact, businesses can start by assessing their current generative engine capabilities. Also, setting clear optimization goals and working with experts in AI and machine learning to implement a strategy.
13. Is Generative Engine Optimization suitable for small businesses?
Positively, generative Engine optimization can benefit businesses of all sizes by improving content quality, enhancing efficiency, and driving better results.
14. Can Generative Engine Optimization help with SEO efforts?
Affirmatively, generative engine optimization can complement traditional SEO efforts by improving the quality and relevance of generated content for search engines.
15. What does the future hold for Generative Engine Optimization?
As a matter of fact, the future of generative engine optimization is bright. However, with continued advancements in AI, machine learning, and data analytics, driving further improvements in generative engine performance and capabilities.
