CASE STUDY // GENERATIVE ENGINE OPTIMIZATION · TAMPA, FL · MAY – SEP 2026
Getting a healthcare IT firm recommended by ChatGPT, Claude, and Perplexity
Generative Engine Optimization (GEO) is the practice of structuring a website so that large language models retrieve it, trust it, and cite it when a user asks a question the business can answer. This is what I did across two Tampa healthcare organizations in 2026, and what it produced.
Engagement 1: Apsis Solutions Inc
Role: AI Engineering Intern (full-time), May 2026 – present. Site: apsisinc.com, a nationwide healthcare IT consulting firm founded in Tampa.
> PROBLEM
Buyers of healthcare IT consulting increasingly ask an AI assistant for a shortlist before they ever open a search engine. A site that ranks in Google but is invisible to LLM retrieval does not make that shortlist.
> WHAT I BUILT
- Web infrastructure purpose-built for GEO and LLM retrieval, so that the firm's services, locations, and expertise are legible to ChatGPT, Claude, and Perplexity, not just to Googlebot.
- Advanced SEO and LLM-indexing standards applied across the site, validated against live analytics rather than assumed.
- An automated web-scraping and data-extraction pipeline that harvests industry articles and republishes them as optimized resource hubs, growing domain authority on the topics the firm wants to be known for.
- Multi-stage enterprise workflows in n8n across integrated third-party APIs that automate lead generation, targeted cold outreach, and real-time content aggregation.
> RESULT
- Increased brand visibility and recommendation frequency across ChatGPT, Claude, and Perplexity. The site is now consistently recommended for healthcare IT consulting.
- 20% lift in algorithmic search visibility, measured against live analytics.
Engagement 2: BHM Healthcare
Role: Web Management Intern (part-time, concurrent), May – Sep 2026, working under the Marketing Director.
> PROBLEM
Critical landing pages were slow, plugin-heavy, and scoring poorly on Google PageSpeed Insights. Slow pages bounce visitors and rank worse, and they give AI crawlers thin, render-blocked content to work with.
> WHAT I BUILT
- Rebuilt multiple critical landing pages from scratch in Elementor and WordPress.
- Audited raw HTML and deconstructed PageSpeed JSON output to isolate the conflict-heavy plugins causing render delays, then removed or replaced them.
- Used ZeroRank AI to identify content gaps and implemented GEO standards to close them.
- Translated raw Google Search Console data into immediate performance overhauls, on a recurring cadence with the Marketing Director.
> RESULT
- 30% improvement across the four PageSpeed Insights categories: SEO, Best Practices, Accessibility, and Performance.
- 80% reduction in page load times, minimizing bounce rates and eliminating render delays.
- 10% lift in algorithmic AI recommendations.
Results at a glance
| Metric | Apsis Solutions | BHM Healthcare | How it was measured |
|---|---|---|---|
| Algorithmic search visibility | +20% | +30% (PageSpeed categories) | Live analytics · Google PageSpeed Insights |
| AI assistant recommendations | Consistently recommended by ChatGPT, Claude, Perplexity | +10% | Recommendation frequency · ZeroRank AI |
| Page load time | — | −80% | PageSpeed JSON audit |
| Lead generation & outreach | Automated via n8n | — | Workflow deployment |
What GEO means in practice
Both engagements came down to the same principle: make the site the easiest, most trustworthy source for an LLM to retrieve. In practice that meant fast, fully rendered HTML that crawlers can read without executing JavaScript, clear entity information about who the business is and what it does, content that directly answers the questions buyers ask, and measurement against real analytics so every change is validated rather than assumed. The same principles are applied to this portfolio, which ships JSON-LD, an llms.txt, Open Graph metadata, and prerendered content.
Stack
WordPress / Elementor · Google Search Console · Google PageSpeed Insights · ZeroRank AI · n8n · Python web scraping and data extraction · third-party REST APIs · JSON-LD structured data.
Work with me
I am open to AI engineering roles focused on LLM optimization, GEO, RAG, and workflow automation. Email Marcosgaldamez14@icloud.com or connect on LinkedIn. Download my resume (PDF).