Tampa families
Why AI picks it
- Lists indoor backup stopsRoam Chapter website
- States family age limitsRoam Chapter guide
ChatGPT says
“Pairs outdoor trips with indoor backups.”
See when AI includes your tour, destination, route or experience, which public sources shape the shortlist, and what your team can improve next.
Buyers ask the same thing a hundred ways, and each question gets its own picks. Track the questions that matter and see how far you are from the top.
Trekmont Tours 4th, in 14 of 40
Trekmont Tours 1st, in 37 of 40
Trekmont Tours 2nd, in 31 of 40
Trekmont Tours 2nd, in 30 of 40
Trekmont Tours 4th, in 21 of 40
40 AI answers per question. Height shows how many named each brand.
Explore the evidenceTrakkr reads the pages behind every pick. When AI can’t find what it needs, Trakkr writes the fix and ships it once you approve.
Why AI picks it
ChatGPT says
“Pairs outdoor trips with indoor backups.”
Connect Google Analytics to see AI referral visits and landing pages. Recorded conversions depend on the events and values configured in your property.
30 days · AI referral visits
Mini bars show 30 days of AI visits.
Google Analytics attributionSelect a planning question. Trakkr keeps the itinerary position, evidence, alternative and next action in one trace.
Inclusion rate
28.7%
Itinerary position
Day 2, not included
Answer readout
The answer builds day two around an aquarium, a museum and an indoor food stop. It cites local listings and publisher roundups, not Trekmont's owned rainy-day route.
The destination is named, but the Trekmont programme is absent from indoor and family planning branches.
Evidence in the answer
Action created
Create a three-day family itinerary with verified indoor venues, travel times and a clear wet-weather branch.
Leading alternative
Harbour & Hallows
Switch views to see how Trakkr breaks down visibility for tour operators and destination marketers, from the market to the work that moves it.
A portfolio score is only the opening signal. Move into a destination, programme, season, activity and traveller segment before deciding what to change.
Portfolio inclusion
43.0%
Owned citation share
28.0%
Open actions
8
Strongest: Autumn
Rome and Tuscany
First-timer detail wins inclusion; independent route proof remains thin.
Strongest: Spring
Tokyo and Kyoto
Station logistics and meeting-point proof move the main route to a peer.
Strongest: Winter
Arenal and Monteverde
Broad sustainability copy is not strong enough to support the claim.
Strongest: Summer
Tampa Bay
Rainy-day intent is present, but no timed family itinerary is cited.
Destination and season heatmap
Activity and traveller matrix
Owned pages, marketplaces, reviews, local profiles, publishers and communities do different jobs. Trakkr shows where useful proof lives and where the recommendation depends on sources you do not control.
Route pages, destination guides, FAQs
Owned pages explain the offer, but often lack the timed itinerary and local proof used in the answer.
Viator, GetYourGuide
Marketplace detail and reviews carry more of the recommendation than the team controls.
Tripadvisor, Google local profiles
Recent review themes and consistent place facts help answer practical planning questions.
Travel publishers, local blogs, Reddit, YouTube
Independent itinerary and route coverage is the clearest source gap.
Source gap graph
Coverage against the reference level
Detailed, but practical route facts are split across pages.
72 / 80
Strong coverage creates distribution dependence.
88 / 80
The largest gap in the current answer set.
31 / 70
Useful evidence, with two recurring detail conflicts.
64 / 70
Route-level comparisons show exactly where an alternative wins the main itinerary and what evidence creates the gap.
First-time, 7 days
Trekmont leads on pacing, but the peer has stronger publisher proof.
Rail, first visit
The peer explains station transfers and luggage handling more clearly.
Small-group adventure
Trekmont needs verified, specific sustainability and guide evidence.
Family, 3 days
The peer supplies a timed indoor route supported by local publishers.
Every item starts with an observed answer or source gap. Changing facts and sensitive claims stay blocked until the operating team verifies them.
Trekmont itinerary queue
Work is tied to an observed answer or source gap
The destination is named in 34 prompts, but its programme enters only 9 itineraries.
Expected signal: A verified three-day indoor branch is cited and included.
Destination content
Station, luggage and first-night details sit across three pages.
Expected signal: The operator holds the main first-timer rail route.
Product
Autumn inclusion is high, but the source set depends on marketplaces.
Expected signal: Owned seasonal guidance earns a larger citation share.
Campaigns
The route page uses general access language without stop-level evidence.
Expected signal: Only checked access facts appear in the route and answer set.
Operations
AI omits the programme when it cannot verify broad claims.
Expected signal: Specific, approved evidence replaces unsupported language.
Operations
The operator site and marketplace listing name different entrances.
Expected signal: Owned, marketplace and local facts agree.
Distribution
Recent reviews ask whether long days suit younger children.
Expected signal: The itinerary and review responses explain pacing with checked facts.
Guest experience
Publisher coverage supports every leading rainy-day alternative.
Expected signal: An independent local source corroborates the itinerary.
PR
Prompt, place, season, traveller need, model, source and check date stay attached. That makes movement explainable.
Group prompts by market, season, traveller, trip length, activity and constraint.
Record whether the destination or product appears, where it sits, what alternatives are named and what claims are made.
Separate owned pages from marketplaces, reviews, local profiles, publishers and communities.
Move from the portfolio signal to a market, route, programme, location or use case.
Assign a route, itinerary, seasonal, access, sustainability, local-proof, review or publisher-source action.
Peer set: Intrepid Travel, G Adventures, Trafalgar, Visit California.
Every answer and figure in the examples on this page is made up to show how Trakkr works, including those for real brands. The other company names are made up too.
The practical questions behind travel AI visibility.
The Agent answers from our docs, methods and pricing, and links to the source.
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