Travelers ask ChatGPT, Perplexity and Google AI before they ever touch a booking site — and the budget that used to chase SEO and meta search now follows them. Move three sliders and see how much of yours should shift to GEO and AEO, and where it comes from.
Directional · no signup · 2026 allocation model
Generative engines answer the question themselves. The win is no longer “rank #1” — it's being the source the model cites in its summary.
Models match a traveler's intent to entities — your property, its amenities, its category. A thin or contradictory record doesn't get cited.
The metric becomes inclusion: the share of high-intent queries where your property appears in the answer at all.
Set your average daily rate, star rating, and how crowded your category's AI summary is. The mix on the right re-allocates across five channels as you move.
Auto-selected from your inputs. Tap to override.
$100 — $1,500 · higher ADR shifts budget toward GEO & brand entity work
2 — 5 · higher rating means more spend on semantic density & PR citations
Low (resort town) → High (NYC, London) · crowded markets need ~10% more GEO
Mid-scale logic: at this ADR you compete on “best X for Y” queries. GEO and AEO together carry the comparison-table moments where a model picks one of three properties to cite.
Directional starting allocations, not optimal spend. Real recommendations depend on your channel mix, market share, and AI inclusion baseline — which is what the scan measures.
Across the industry the GEO/AEO share of digital budgets has diverged sharply by segment. The row matching your inputs is highlighted.
Directional ranges · as of 2026
High-stakes trips trigger long, multi-turn AI research. Travelers ask follow-ups; models lean on entity-rich sources — where GEO investment compounds. Lower ADR funnels back into AEO for fast, factual answers.
In NYC, London and Paris the AI summary defaults to the same three landmarks. Properties outside that automatic shortlist need extra entity authority — citations, structured Q&A, editorial coverage — just to enter the answer.
4–5 star properties spend on richer, more specific vocabulary across every surface AI ingests. The risk is being categorised as “standard” when the brand should read “ultra-premium” — a gap closed with budget, not adjectives.
An allocation only matters if you can see whether it's working. The AI Visibility scan checks how often your property is cited across every major engine — and tracks the gap to your competitors, so you know the budget shift is buying the inclusions it was meant to.
Sample readout · your scan returns your own
One URL. Every major engine. A baseline you can take to your CFO before the next budget cycle.