What is GEO (Generative Engine Optimization)?
GEO is the practice of optimizing your brand's visibility in AI-powered search tools like ChatGPT, Gemini, Perplexity, and Claude. Unlike traditional SEO where you rank on a page of links, GEO determines whether AI tools mention and recommend your property when users ask travel questions. AI tools pull from:
- OTA platforms (Booking.com, TripAdvisor, Expedia) — AI heavily scrapes these
- Review content — volume and recency of reviews drive AI recommendations
- Structured data / Schema markup — helps AI understand your property accurately
- Third-party editorial mentions — blog posts, listicles, Wikipedia (cited in 63% of AI results)
- Your own website content — FAQ pages, destination guides, blog posts in conversational tone
How SEO and GEO Work Together
SEO and GEO are complementary. Good SEO practices (schema markup, quality content, keyword optimization) directly feed GEO because AI tools use the same web content as search engines. The key difference:
- SEO = Ranking on Google search result pages (links)
- GEO = Being mentioned/recommended in AI-generated answers
- Both benefit from: structured data, quality content, reviews, third-party mentions, consistent NAP (Name, Address, Phone)
By improving SEO signals, you simultaneously improve GEO signals. The 90-day plan targets both channels.
Why These Target Queries Were Selected
Each query was chosen based on search intent (what travelers actually ask), competitive gap (where you're not yet visible), and business value (bookings it can drive).
Vivere Hotel Queries
"best hotels Alabang"
Why: High-intent local search. Travelers searching for Alabang hotels are likely considering a stay. You're currently on page 2-3 — moving to page 1 captures this demand. In GEO, being "sometimes mentioned" means AI knows you exist but doesn't consistently recommend you. Consistent top-3 placement means you become the default answer.
"5-star hotels south Manila"
Why: Broader geographic query capturing travelers who want luxury south of Manila but haven't decided on Alabang specifically. Currently not ranking — this is a competitive gap you can fill with content and schema.
"best rooftop restaurants Manila"
Why: The Nest is a unique differentiator. This query drives non-hotel traffic (diners) who may then discover the hotel. Currently not mentioned by AI at all — a major opportunity since The Nest is genuinely competitive in this category.
"wedding venues Alabang" / "corporate events south Manila"
Why: High-value event bookings. Wedding and corporate event revenue per booking far exceeds room-night revenue. These queries have lower competition than hotel queries and represent significant revenue upside.
Vivere Azure Queries
"best resorts Batangas" / "diving resorts Anilao"
Why: Azure's biggest challenge is invisibility. Not ranking for any of these queries means AI tools don't know you exist. Anilao is the birthplace of Philippine diving — Azure should own this narrative. The "boutique diving resort 2 hours from Manila" positioning differentiates from mass-market Batangas resorts.
"luxury beach resorts near Manila"
Why: Weekend getaway intent from Manila residents. Azure's proximity (2 hours) is a competitive advantage. Target: "hidden gem" positioning since Azure can't compete on review volume with larger resorts yet.
Amari El Nido Queries
"best hotels El Nido" / "boutique hotels El Nido" / "where to stay El Nido town"
Why: El Nido is a top Philippine destination with fierce competition. Amari's critical weakness: only 17 reviews vs. competitors with 500+. AI tools won't recommend a property they can't validate through reviews. The "town hotel" angle differentiates from expensive island resorts — targeting travelers who want walkable town access, not isolation.