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AI SEO / GEO Case Study

AI Search Visibility for a Travel & Lodging Brand

Travel and lodging AI search visibility / GEO case study: rebuilt WordPress inn network's entity, LodgingBusiness schema, and travel citations to grow mentions across ChatGPT, Perplexity, and Google AI Overviews.

24
Real Traveler Prompts
8
Competing Regional
4
Competing Resorts
6
Properties Surfaced
About The Client

Ravenshore Coastal Inns

A Kennebunkport based collection of independent coastal inns on WordPress running six properties along the Maine coast. Strong TripAdvisor and Booking reputation, near-zero presence in AI answer surfaces where travelers were increasingly asking for lodging recommendations.

Industry

Travel & Lodging Brand

Focus

AI SEO & GEO

The Challenge

The site had thin Organization + LodgingBusiness schema, inconsistent citations across travel directories, no structured itinerary or 'what to do nearby' content, and no monitoring across AI engines travelers were using.

Ravenshore Coastal Inns - AI SEO / GEO Case Study
AI SEO / GEO Case Study

Ravenshore Coastal Inns

24
Real Traveler Prompts

Strong OTA reputation, invisible when travelers asked ChatGPT for a coastal inn recommendation.

Our Approach

The Strategy

STEP 01

Fixed the entity and lodging schema foundation

Rebuilt Organization, LodgingBusiness, and Hotel schema across the WordPress site so every property, every room type, and every amenity parsed consistently, and cleaned Google Knowledge Graph and travel-directory entries to match.

STEP 02

Earned authoritative travel citations

Placed innkeeper-led commentary in independent travel publications and regional guidebooks AI engines cite, and standardised brand string, town, and coastal-region framing across every mention.

STEP 03

Restructured itinerary content for AI extraction

Rewrote 'weekend in Kennebunkport', 'best coastal drives', and property-specific pages around clean definitional first paragraphs, FAQ blocks, and short evidence tables so AI engines could quote them verbatim when travelers asked.

STEP 04

Set up monitoring across AI engines

Instrumented weekly tracking of 24 real traveler prompts across ChatGPT, Perplexity, Gemini, and Google AI Overviews, with share-of-voice comparison against the top 8 competing regional lodgings.

Before

(Perplexity)

Ravenshore Coastal Inns

  • No brand mention in answer
  • Sources: 4 competing resorts
  • Old amenities cited incorrectly
  • No AI Overview coverage
After

(Perplexity)

Ravenshore Coastal Inns

  • First-named inn network
  • All 6 properties surfaced correctly
  • Current amenities + off-season pricing
  • Also cited in Google AI Overview

AI answer mockup - ILLUSTRATIVE Perplexity answer to 'best coastal inns to visit in Maine off-season' now cites Ravenshore Coastal Inns as a top source.

Results

Keyword Movement

KeywordBeforeNow
best coastal inns maine off seasonnot citedcited (Perplexity + ChatGPT)
romantic weekend kennebunkportnot citedcited (ChatGPT + Gemini)
small luxury inns maine coastcited (1 engine)cited (4 engines)
dog friendly coastal inn new englandnot citedcited (Google AI Overview)

Representative results based on comparable engagements.

ChatGPT kept recommending a competitor with better structured data.

A larger regional resort had far cleaner LodgingBusiness schema and was capturing every 'best Maine coast inn' answer. I brought the inn network's schema up to full spec across all six properties, added structured amenity + policy data, and answers started routinely including at least one of the properties inside seven weeks.

"
OTA rankings still matter, but half of new direct bookings this quarter mentioned an AI answer in the enquiry. That was a rounding error a year ago.

Client name changed for privacy.

Ready to be the next case study?

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What happens next

Typical engagement: 4-6 months. First deliverable in week 1: an AI-visibility audit across ChatGPT, Perplexity, Gemini, and Google AI Overviews for your top 20 buyer prompts, with a prioritised entity, schema, and citation plan.