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🧩 Extension  ·  In-house SEO

Travel Platform Increases AI Citations Across 5,000 Location Pages With a 3-Person Team

Online Travel Platform · 5,000+ location pages · 4.2M monthly visits  ·  4 months

5,000
location pages audited and prioritised for AI optimisation
4×
AI Citations for Target Destinations
3-person
Team That Did It All
18 weeks
Full Programme Completion
⚠️ The Challenge

The travel platform had 5,000+ destination pages. AI travel recommendations were increasingly influential in booking decisions, but the platform was invisible in AI answers. With a 3-person SEO team and no agency budget, a traditional page-by-page GEO audit was impossible. Needed a way to prioritise at scale without additional resource.

💡 The Solution

Chrome extension bulk page audit used to segment all 5,000 pages by GEO score into tiers: Critical (<40), Needs Work (40–65), Maintain (65+). Top 500 critical revenue pages identified in days rather than months. A focused 18-week programme addressed each tier systematically.

📈 The Result

5,000 pages audited and tiered in 3 weeks. Top 500 pages fully optimised in 18 weeks. AI citations for target destination queries: 4×. 3-person team achieved results that previously required an agency.

How They Did It

Step-by-step breakdown of the exact approach taken.

⚡
5,000-Page Bulk Audit — Tiered by GEO Score

Extension bulk page audit run across all destination pages in batches. Each page scored and sorted into 3 tiers. 487 critical pages identified (GEO score below 40). SEO team had a prioritised fix list within 3 weeks — work that would have taken months without the bulk audit capability.

🗺️
Location Schema at Scale — 487 Priority Pages

Schema Markup Builder generated TouristDestination + Hotel + LodgingBusiness JSON-LD templates for each page type. Deployed to all 487 critical pages first, then rolled out systematically to the next tier. Local and destination schema is the primary signal AI travel assistants use for recommendations.

📋
Destination FAQ Content — What Travellers Ask AI

AI Reasoning Extractor run for top 50 destination queries. Questions travellers ask AI about each destination ("best time to visit", "family-friendly activities", "what to pack") were added as FAQ sections with FAQPage schema. These FAQ answers became the most-cited content sections on the site.

🔄
Live GEO Competitor Benchmarking

Extension run on competitor destination pages for the same locations. For every destination where a competitor scored 20+ points higher, a targeted sprint was triggered. This ensured the biggest competitive gaps were closed first, maximising citation impact within the team's available time.

📊
AI Citation Tracking — Top 20 Destinations

AI Citation Hub tracked citation rates for the 20 highest-revenue destination queries. After optimisation: average citation rate 11%→44%, with highest-priority destinations reaching 68–72%. Data was used to justify the programme's continued investment to the executive team.

The Full Results

Weeks 1–3: Bulk audit complete. 5,000 pages tiered. 487 critical pages identified. Weeks 4–10: Schema deployment across critical tier. Citation rate: 11%→28%. Weeks 11–18: Next tier optimised, FAQ content deployed. Citation rate: 28%→44% average, 68–72% peak destinations. AI citations for target queries: 4× increase. 3-person team delivered what previously required an agency.

“We had 5,000 pages and 3 people. The bulk audit told us exactly where to focus. We did not need an agency — we needed the right tool to tell us where to start.”

— Head of SEO, Online Travel Platform

Replicate These Results

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