The specialist AEO and GEO agency, with our own AI search monitoring platform.
Focus vertical – Travel.
We track how ChatGPT, Claude, Gemini and other LLMs describe your brand, diagnose what is holding you back, then execute the answer engine optimisation work end to end. Built on an AI monitoring tool we developed in-house and configure around your destinations, competitors and traveller intent.
Travel buyers now plan trips, compare hotels and build itineraries inside ChatGPT and Claude before they ever land on your website.
Answer engine optimisation and generative engine optimisation are the layer where those destination shortlists get formed, and it is the layer where most travel brands have no presence, no data and no plan in place.
You rank on Google but you do not exist in AI search.
Search rankings and AI visibility run on entirely different signals, and ranking well on Google gives you almost no head start in AI search. Language models do not read search results pages. They draw on their training data, on third-party citations and on how clearly your property, brand or destination is described across the web, which means you can hold page one on Google and still be completely absent from ChatGPT, Claude and Gemini responses.
I compares you to the wrong competitors.
You do appear in answers, just grouped with brands you would never describe as direct competitors. The category signal you give off across your site and external sources is weak or contradictory, so language models default to placing you in the wrong comparison set. That happens at the exact moment a traveller is deciding where to book, which property to shortlist or which platform to trust, which is arguably more damaging than not appearing at all.
Your offering gets described inaccurately.
AI models describe your amenities, packages, destinations and booking experience based on what they have learned, and what they have learned is often outdated, incomplete or wrong. Room types get misattributed, tours get mislabelled and pricing context gets left out. All of this is shaping how travellers perceive your brand before you have had a chance to say a word about it.
Your visibility swings between queries.
You show up in some AI responses and are not present in others, even for near-identical travel prompts. Your brand signal is too inconsistent for AI systems to include you with confidence, so two travellers who phrase the same question slightly differently end up with two completely different recommendations, and yours often only makes one of them.
The signals that decide whether AI recommends you.
Travel has a particular set of signals that drive visibility in AI search and the accuracy of how AI describes your brand. These are the six we track, diagnose and improve through our monitoring platform.
01
Competitive set accuracy.
Which hotels, platforms or operators is AI grouping you with, and are they the brands that actually compete for your travellers? When the grouping is wrong you are being evaluated against alternatives a buyer would never have considered if the AI had understood your positioning correctly.
02
Destination and category positioning.
Does AI understand what type of travel brand you are and which destinations you serve? Travel categories are broad and constantly overlapping, and when language models cannot confidently place you, they tend to leave you out of recommendations altogether. A clear, consistent destination and category signal is the foundation everything else sits on top of.
03
Offering and amenity accuracy.
Are your rooms, tours, packages, experiences and booking terms described correctly across AI responses, or is something getting lost in translation? Inaccurate descriptions create friction during the planning stage and erode trust before a booking is ever made.
04
Traveller intent and trip-type fit.
Do AI responses connect your brand to the trip types and traveller profiles that actually convert? Presence in 'best hotel for X' or 'where to stay in Y' answers, where X and Y match your actual audience, is the point at which AI search starts generating real demand rather than irrelevant enquiries.
05
Segment and traveller-type fit.
Are you being recommended to the right travellers? Solo explorers, families, honeymooners, business travellers and luxury seekers ask AI very different questions in very different ways, so when AI puts you in front of the wrong segment, your presence attracts travellers your operation is not set up to serve.
06
Share of Voice versus key rivals.
How often do you appear against the three to five competitors who matter most? Share of Voice in AI search is the most direct read on how likely you are to be recommended, and it tends to be a leading indicator of booking demand a season ahead of the funnel.
A monitoring platform that is built around your travel category. We do not offer just a generic template.
We built our own AEO monitoring platform in-house, and we configure it around your brand, destination set, competitive landscape, positioning and the queries your travellers actually run. The competitors we track are the ones you actually compete with, and the metrics we surface map to how AI search visibility translates into direct bookings and demand in your specific market.
We are a full-cycle agency, which means we do not hand over a dashboard and walk away. We analyse, we diagnose, we build the roadmap and we execute, either alongside your team or as a fully outsourced function.
Custom prompt library.
Tell us the destinations, trip types and traveller segments you want to monitor, generate prompts automatically and pick the ones that fit, or upload your own. You get a fully configured AEO monitoring dashboard built around the segments that matter to your business, not a default one.
Configurable Niche metrics.
Mention Rate, Share of Voice, Average Rank, Competitive Set Accuracy, GEO Score and several others, weighted and reported against the goals you actually care about. The dashboard is customisable from the ground up, so the view your team logs into reflects how your business measures success.
Adjustable competitor lists.
Nobody knows your real competitor set better than you do, and AI knows even less than you do. You can adjust the brands you want to monitor and benchmark against at any time, on your terms and at the cadence that suits your booking cycle.
Full setup support by our team.
As a full cycle AEO and GEO agency, we are involved from step zero. We set the tool up, tailor it to your destinations and traveller ICP and guide you through prioritising the GEO initiatives that will move the needle first. The operation can run with your team, with ours, or with a blend of both, depending on the bandwidth and capabilities you have in house.
Execute with your team or with our support, depending on your internal capabilities.
We adapt monitoring and AEO implementation to your destinations, internal metrics and workflows.
We adapt monitoring and implementation to your destinations, your internal metrics and the workflows your team already uses. Strategy, execution and our in-house monitoring platform run as one engagement, so the work shows up in AI search visibility you can actually measure.
4 STEPS
AEO monitoring,
Monitor AEO – if & how you appear in AI search:
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mention rate,
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share of voice,
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brand attribute signals,
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topic coverage matrix,
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brand & source co-occurrence,
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your brand GEO score & dynamics,
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& any other tailored criteria.
Learn how AI systems describe:
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your destination & experience perception,
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booking complexity,
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trust and safety signals,
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ease of booking & customer support,
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traveller fit,
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& not limited to.
1
GEO readiness,
Analyse your GEO readiness:
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own resources programming layer,
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own resources content layer,
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third-party medical presence,
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clinical and regulatory citations.
Check competitor visibility:
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who gets recommended,
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in what contexts,
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with which attributes,
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how positioning changes over time.
Understand which sources influence AI outputs:
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review platforms,
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media mentions,
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destination guides,
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forums, Reddit, TripAdvisor,
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knowledge bases, etc.
2
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quick win identification,
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authority signal prioritisation,
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content & destination page recommendations,
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external visibility opportunities,
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phased execution framework,
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our team support,
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dynamics tracking.
Get a 90-Day GEO Roadmap.
3
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website & semantic structure recommendations,
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destination and experience pages optimisation,
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docs & knowledge base optimisation,
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AI-oriented content strategy,
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content creation & placement automation,
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review platform visibility increase,
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external mentions & authority building,
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Reddit, forums & community presence,
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competitive positioning optimisation.
Enjoy Generative Engine Optimisation Support
4
What GEO fixes look like in practice.
These are the patterns that come up repeatedly across travel engagements. The specifics shift from category to category, but the mechanics behind the fix stay consistent.
"We appear in AI answers but we are grouped with platforms we don't actually compete with."
Correcting the competitive set.
GEO Fix:
This usually points to inconsistent category signals across owned properties and third-party mentions. When the language describing a hotel, OTA or tour operator differs between the website, TripAdvisor, Google Business and media coverage, AI models draw from contradictory inputs and fall back on generic groupings. The fix involves aligning category language across all surfaces, building destination and experience pages that target the right comparison queries and updating third-party profiles to reinforce the correct positioning.
What to expect: AI models begin grouping the brand with the correct competitors. With consistent signals in place, the shift typically becomes measurable within six to ten weeks of going live.
"ChatGPT is describing our tours and packages incorrectly and it's affecting bookings."
Fixing offering and experience signals.
GEO Fix:
Poorly structured experience and package pages rarely get cited by external sources, so AI models fill the gaps with outdated information inferred from competitor pages and review sites. The fix is rebuilding offering documentation as citable, structured content blocks with FAQ schema, publishing itinerary and experience comparison content and distributing the corrected information through trusted third-party channels.
What to expect: offering descriptions in AI responses improve as the new content gets indexed and picked up by external sources. The process is gradual, typically four to eight weeks before the change is visible in monitored responses.
"We never appear when someone asks AI for a hotel or destination recommendation in our category."
Building category presence from 0.
GEO Fix:
Strong SEO performance does not automatically translate to AI presence. When brand signals are too thin or too scattered, language models cannot include a property or platform in shortlists with any confidence. The fix involves building destination landing pages around consistent terminology, raising comparison and 'best stay for' content targeting high-intent prompts and expanding external authority through travel media, expert contributors and review platform updates.
What to expect: category-level presence builds incrementally. Brands starting from near-zero visibility typically see measurable improvement in AI-generated shortlists within eight to twelve weeks of a coordinated push
"Our visibility across ChatGPT and Claude swings wildly from one query to the next."
Stabilising multi-LLM visibility.
GEO Fix:
When different language models return different descriptions and different competitive sets for near-identical travel queries, the root cause is usually semantic inconsistency across the website, metadata and external mentions. The fix involves standardising destination and offering terminology, improving internal linking between related topics and setting up continuous monitoring across ChatGPT, Claude, Gemini and Perplexity to track variations and respond to them as they emerge.
What to expect: stability improves as the underlying signals become more consistent. Monitoring is essential here, without a baseline across multiple LLMs, it is difficult to tell whether changes are having any effect.
Who we work with:
Our AEO and GEO work spans hotels and resort groups, online travel agencies, tour operators and experience providers, destination management companies, tourism boards, airlines and charter operators, serviced apartment platforms, car rental brands, travel insurance providers, cruise lines, local guide and activity platforms, travel planning tools and travel tech startups.
In marketing since 2009. In AI search since it became a category.
Our team has worked with international brands across SaaS, e-commerce, fintech and professional services for over fifteen years, originally as ContActive Tech Communications.
Today, that same senior team applies its strategic and technical expertise to answer engine optimisation, generative engine optimisation, and AI search visibility.