From Search Engines to Answer Engines: Sizing the Shift to Generative Engine Optimization (GEO) and Agentic Distribution in Online Travel (2026-2028)

This white paper examines how online travel distribution is shifting from conventional search interfaces toward generative answers and trackable AI-agent handoffs. It reconstructs the Russian booking market, models the SEO component of demand, distinguishes GEO from AI referral and direct integration, and estimates the paid agent-attributed travel market over Q4 2026-Q1 2028. The research uses public market disclosures, platform disclosures, company publications and transparent scenario calculations. The central model estimates USD 325.8m of paid agent-attributed GMV over six quarters, with a USD 149.5m-624.6m scenario range. The estimate is a channel TAM, not an issuer forecast or a company revenue forecast. Evidence is strongest for air and rail scale and weakest for addressable hotel GMV, platform routing and connector retention.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-28
DOI
https://doi.org/10.5281/zenodo.22149269
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

From Search Engines to Answer Engines: Sizing the Shift to Generative Engine Optimization (GEO) and Agentic Distribution in Online Travel (2026-2028)

Ivan Diulherov
Zenodo (CERN European Organization for Nuclear Research)
Transportation and Mobility Innovations
article

From Search Engines to Answer Engines: Sizing the Shift to Generative Engine Optimization (GEO) and Agentic Distribution in Online Travel (2026-2028)

Ivan Diulherov
article en

Abstract

This white paper examines how online travel distribution is shifting from conventional search interfaces toward generative answers and trackable AI-agent handoffs. It reconstructs the Russian booking market, models the SEO component of demand, distinguishes GEO from AI referral and direct integration, and estimates the paid agent-attributed travel market over Q4 2026-Q1 2028. The research uses public market disclosures, platform disclosures, company publications and transparent scenario calculations. The central model estimates USD 325.8m of paid agent-attributed GMV over six quarters, with a USD 149.5m-624.6m scenario range. The estimate is a channel TAM, not an issuer forecast or a company revenue forecast. Evidence is strongest for air and rail scale and weakest for addressable hotel GMV, platform routing and connector retention.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Transportation and Mobility Innovations
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