AI SEO case study
How Zaillor helped an India-based intercity travel provider become more visible in AI-generated travel answers
- Industry
- Passenger Transport
- Location
- India
- Engagement
- 10 weeks
- Prompt scope
- 40 fixed prompts
- Platforms
- ChatGPT, Claude and Gemini
Result snapshot
Prompts with at least one mention
13/40 → 36/40
32.5% → 90.0%
Engine responses with a mention
17/120 → 70/120
14.2% → 58.3%
Prompts mentioned by all three engines
0/40 → 12/40
0% → 30.0%
About the business
An India-based intercity travel and passenger-transport provider serving travellers who compare routes, overnight buses, boarding experience, comfort, reliability and safety.
Client identity has been withheld for confidentiality. Results are based on Zaillor's recorded monitoring of the same fixed prompts across ChatGPT, Claude and Gemini during the stated engagement period.
What AI SEO meant in this engagement
For this engagement, AI SEO meant making the provider's services, routes, passenger experience and locations clear enough for answer engines to connect them with real travel questions. Traditional SEO helps pages appear in link-based search. AI SEO adds the work of making a business understandable in answer-based search. The two work together.
The challenge
Travel questions are not one-size-fits-all. Someone may ask for a sleeper bus with private cabins, a comfortable bus from Mumbai, an AC boarding lounge, a safer night journey or a last-minute alternative after a waitlisted train. AI answers can change with wording, engine, location and date. At baseline, engagement week 0, the provider appeared in 13 of 40 fixed prompts (32.5%), while 17 of 120 engine responses (14.2%) returned a mention. The practical goal was to make the provider easier to understand across the different situations it serves, not to chase one keyword.
The AI SEO approach
Start with real questions
We mapped 40 commercially relevant travel questions covering route discovery, booking, comfort, safety, reliability and alternatives, then used the same fixed prompts for the baseline and follow-up measurement.
Make the business easier to understand
Technical work covered full-site crawlability, robots.txt, XML sitemap and llms.txt review, plus page-level content and schema improvements across priority route, city and service pages. Relevant Organization, WebSite, WebPage, BreadcrumbList and SearchAction markup was strengthened where applicable, with the provider's multi-location route structure kept in view.
Keep learning from the answers
We re-ran the same prompts across ChatGPT, Claude and Gemini through engagement week 10, applying the same binary mention rule. Monitoring covered category, competitor and multi-region queries. Citation work included an audit, cleanup of inconsistent listings and submissions to agreed directories. Zaillor also prepared AI-optimised authority content, reported weekly and supported paid PR placements through ANI and other major Indian media channels. PR was treated as authority support, not as proof of ranking or guaranteed citation.
What changed by engagement week 10
Weekly diagnostic view for India, 20 Jul–24 Aug 2026. Each point shows the percentage of valid AI responses that named the provider; it complements the fixed-prompt summary below.
We treated the monitoring as a recall-style test: the same 40 fixed prompts were asked across the same three AI engines, producing 120 engine responses in each window. A positive result means the provider was named somewhere in the generated answer. The measurement does not assess ranking position, sentiment, citation quality or conversion impact.
Example prompts from the latest monitoring window
| Prompt | ChatGPT | Claude | Gemini |
|---|---|---|---|
| Bus service with AC boarding lounges in India | Mentioned | Mentioned | Mentioned |
| Sleeper bus with private cabins in India | Mentioned | Mentioned | Mentioned |
| Bus with 100% refund on cancellation in India | Not mentioned | Not mentioned | Mentioned |
Examples shown from the 24 August 2026 India monitoring window. They illustrate individual engine responses; the headline results use all 40 fixed prompts.
Why this matters to a business
An AI answer is often a decision shortcut. If a business is missing when a relevant question is asked, it may never reach the traveller's shortlist. More complete and consistent information gives the business a better chance of being considered for the moments it actually serves. That is the role of Zaillor's AI SEO implementation: connect what a business does to the questions people ask, strengthen the information answer engines rely on and measure whether that connection is improving.
The next iteration can prioritise offer, fare, support and last-minute booking prompts, where the latest record remains less consistent across engines.
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