News
📈Case study: London boutique hotel's AI visibility up from 41% to 68% in four weeks 🎤Ayse Durmush speaking at TravelTech Show 2026, ExCeL London, 24 June 📺Ayse Durmush featured on Ticker News 🎤Ayse Durmush speaking at the AI-Driven Business Summit 🏆Community Judge, Women Build AI Build-A-Thon 📈Case study: London boutique hotel's AI visibility up from 41% to 68% in four weeks 🎤Ayse Durmush speaking at TravelTech Show 2026, ExCeL London, 24 June 📺Ayse Durmush featured on Ticker News 🎤Ayse Durmush speaking at the AI-Driven Business Summit 🏆Community Judge, Women Build AI Build-A-Thon
Case studies

Before, and after.

Three projects, each told the same way: where it stood, where it stands now, and the work in between.

01Boutique hotel · London

Before41% AI visibility, recommended in 13 of 31 traveller questions After68% AI visibility, recommended in 21 of 31

Boutique hotel AI visibility before and after: recommended in 13 of 31 traveller prompts, then 21 of 31
Where it started
Easy to find by name, but missing when travellers asked AI broader questions about where to stay, which area to choose and which hotels suited them.
What we did
Rebuilt the hotel’s digital entity, tied its location and traveller-question content to the booking journey, and set up a fixed set of prompts that can be retested over time.
The numbers
  • +27ppincrease in tracked AI visibility over four weeks
  • 31commercial travel prompts tested on ChatGPT, Google Gemini and Perplexity
  • 42priority pages and content assets reviewed
  • 24traveller-question content opportunities mapped
Read the full case study
02B2B services · Site foundations

BeforeService pages that sent readers to the wrong section and gave AI little usable structure AfterSix service pages with working navigation, clean schema, consistent on-page SEO and explicit AI crawler access

B2B services website before and after: tangled links and closed gates, then tidy pages with every link landing and AI crawlers welcomed in
Where it started
Six service pages and 25 posts with the usual problems of a growing WordPress site: broken navigation, duplicated schema, inconsistent optimisation and no explicit guidance for AI crawlers.
What we did
Over six weeks, rebuilt the underlying structure, standardised the publishing checklist, repaired the service-page experience and opened the site to the major AI crawlers.
The numbers
  • 126 / 126service-page table-of-contents links landing on the correct heading
  • 6 / 6previously unoptimised posts brought to Rank Math scores of 81 to 88
  • 7major AI crawlers explicitly allowed, plus a live llms.txt
  • 25 / 25blog posts checked for mobile presentation and navigation
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03Business consultancy · Content engine

BeforeA consultancy blog that only grew when the owner had a free day After54 articles live, a month more scheduled

Consultancy blog before and after: one writer at a dim desk with an empty calendar, then a full calendar of scheduled articles
Where it started
Good copy and no system. Nothing was written down, posts were built to no standard, and publishing depended on someone being free that day.
What we did
Wrote the brief first, including what may never be claimed. Turned a good post into a checklist, rebuilt the existing posts to it, then wrote a month of articles in one batch and scheduled them daily.
The numbers
  • 42existing posts rebuilt to the checklist (16 Sep 2026)
  • 31new articles written in one batch and scheduled daily to 23 Oct 2026
  • 10 of 10latest live articles carrying FAQ markup, contents, three images and the booking link (30 Sep 2026)
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