Sample report
This is an illustrative preview using an invented property. Your own report will follow the same structure with your real hotel's data.
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FieldGuide Local Authority Report·Sample

The Cedar House Inn

Hudson, NY, United States · invented for illustration
FieldGuide Local Authority Score
34
out of 100
Score band
Emerging Local Authority
Peer benchmark
34 vs. median of 47 across 18 comparable properties in your market
-13 points below peer median
Where you win
“best small inns near the Hudson River with a good bar”
Platform: Perplexity · Score 78/100
Perplexity cited your official 'Bar & Terrace' page directly and pulled a quote about the seasonal cocktail list. Owned content did the work here.
Conversations you're not in
“what to do in Hudson NY on a rainy Sunday”
Platform: ChatGPT
The answer named three restaurants, an antique shop, and Basilica Hudson — but never mentioned your property or your published guides. A short 'rainy day itinerary' post from you would almost certainly close this gap.
The uncomfortable truth
In 18 of 24 travel-planning queries, AI recommended a competitor or an outside guide instead of you.
Full report unlocked
Chapter 1 · Your diagnosis
The four dimensions of your Local Authority
Discovery Presence
/100 ·

How often your hotel is mentioned across search and AI answers.

Owned Authority
/100 ·

How often your official website is cited AND your content is the substantive answer.

Competitive Position
/100 ·

How often competitors and outside publishers own the answer instead of you (higher is better).

Content Opportunity
High
Level

How much lift is realistically available if you publish authoritative content on the identified gaps.

Improve your Local Authority Score

We've drafted a FieldGuide to help improve your Local Authority Score.

We've called it “A rainy-Sunday itinerary through Hudson” and we built it to address a key local-area opportunity for your hotel.

But it's really important to note: THIS IS ONLY A DRAFT. The next step is for you to fine-tune the FieldGuide — with insights only you and your team can provide.

We've suggested popular activities and restaurants — you should update these with your own descriptions, or replace them entirely.

We've structured the FieldGuide with AI criteria in mind. So when you add your local perspective, you'll have a much better chance of breaking through.

And when it comes to web-publishing, your FieldGuide takes care of the critical details: from brand-compatible fonts and colors, to mobile-first design, to ADA compliance and more. That means your content will work just as well for your on-property guests as it does for AI.

Your suggested first piece
A rainy-Sunday itinerary through Hudson
Local guideEffort: LowImpact: High

You lost this exact query on ChatGPT and Google. A 600-word guide with 5–7 specific stops, indoor-friendly, closes the gap and pulls in three neighboring queries.

Grade my hotel to see mine(Sample view — not connected to a live draft.)
Draft preview
“A rainy-Sunday itinerary through Hudson”
Hero image and draft body would render in your live guide.
Chapter 3 · Your ongoing plan

A complete local-area content plan

Once you've completed your first FieldGuide, be sure to visit your FieldGuide Library, where you'll find the additional FieldGuides listed below. We've drafted each especially for your property, based on the findings in our Local Authority Report. When you fine-tune and publish these, you'll be well on your way to creating a comprehensive, current, experience-based local-area resource — for guests, staff, and AI engines alike.

2
Where locals actually eat on Warren Street
HighNeighborhood guideEffort: MediumImpact: High

Every 'best food in Hudson' query is being answered by Eater and outside blogs. Your team's picks — short notes, honest opinions — are exactly what AI wants to cite.

3
The three walks around Cedar House (with photos)
ModerateTrail guideEffort: MediumImpact: Moderate

Small hotels rarely publish real trail write-ups — this is uncontested territory.

4
A guide to the antique shops (ranked by hours + inventory)
ModerateShopping guideEffort: LowImpact: Moderate

Hudson's antique scene is a top three query cluster and no property in town has a definitive guide.

5
Where to take out-of-town friends for their first weekend
LowItineraryEffort: MediumImpact: Moderate

Long-tail 'first time in Hudson' queries are steady traffic year-round.

Publish your first FieldGuide before returning to these — each one you fine-tune widens your footprint in the local-area conversation.

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