~80 times
increase in AI platform clicks
+500%
visibility across target prompts
Positive
net overall sentiment shift
The Happy Days and Old Library Nursery chain in Warwickshire is a group of private early‑years childcare settings for children aged roughly 0‑5 years. They offer full‑day care, nutritious meals, experienced staff, and a nurturing, play‑led learning environment.
Parents increasingly ask AI assistants questions like “Which nursery near me is best for…?”, “What’s a good childcare setting in Warwickshire?”, and “Which nurseries feel most nurturing and structured?”, and those prompts often create the shortlist before a parent ever visits a website.
Happy Days and Old Library had strong real-world delivery, but their “AI resolution” needed tightening: we had to make sure ChatGPT and Gemini could consistently recognise each nursery correctly, summarise their offer without blurring or ambiguity, and recommend them confidently in high-intent local childcare prompts.
We ran an exhaustive mapping of brand-resolution and service-resolution fit for each nursery, identifying what AI assistants “think” they know, where that understanding was inconsistent, and what was blocking reliable recommendation moments. We then built and executed a prioritised work programme focused on strengthening the nursery chain’s digital footprint so it is consistently understood, easily crawled, and machine-readable.
Next, we implemented the most commercially meaningful improvements first - work designed to increase consistency, crawlability, machine accessibility, usability, and performance across the web footprint that AI assistants rely on. In practice, this means reducing ambiguity and increasing “extractability,” so AI tools can produce clear, accurate summaries that match what parents actually ask for (and what the nurseries genuinely deliver).
Because AI discovery shifts quickly, we continue to work as the nursery chain’s always-on AI advisor and partner, retesting key prompts, preventing drift, and adapting the optimisation pipeline as ChatGPT and the wider AI ecosystem evolves.
Within three months of starting work for the nursery chain, performance improved quickly. Traffic from AI assistants like ChatGPT and Gemini went from single digits to the largest single referrer to the Happy Days and Old Library websites. The business began attributing a notable portion of enquiries to AI assistants. And across many prompt resolutions, ChatGPT and Gemini started to surface them as its top nursery choice.
For local, trust-sensitive services like childcare, “AI recommendation moments” are now part of the decision journey. The brands that win are the ones that AI systems can understand cleanly, verify quickly, and recommend confidently. This is especially the case in prompts where parents are trying to reduce risk and choose the safest option.
This engagement shows the Recrawled approach in action: map resolution blockers, fix the foundations, optimise for prompt-aligned clarity and trust, then keep it always-on so gains appear early and continue compounding.
eMarketer Research, January 2026
We are not a SaaS platform. We are real people doing real human work to help clients both mitigate and take advantage of AI assistants like ChatGPT. We deliver results within a three-phased work program: Diagnosis + Setup, Repair + Optimisation, and Management + Continuity.
At the heart of our work is our powerful multi-layer blueprint which continuously self-adapts to the rapid, ongoing developments in AI technology. Our blueprint both improves and augments each client's entire digital footprint with laser-focused targeting to increase visibility, trust and recommendations on AI assistants. The ultimate goal is to increase client revenue.
AI presence is becoming more important than search rankings
Products and services have to aim to be recommended on AI
AI platforms are replacing traditional brand loyalty
Brands have to aim to be trusted on AI platforms
AI overviews are reducing visits to company-owned media
Businesses increasingly have to compensate via AI visibility
AI assistants like ChatGPT and Gemini don’t rank websites in the same way search engines do. They typically resolve answers using signals like entity clarity (who you are), consistency (same facts everywhere), evidence (proof and specificity), machine accessibility (content they can parse), and external trust validation (credible third-party corroboration).
AEO (Answer Engine Optimisation) is the practice of making your brand and content easier for AI assistants to understand, trust, and reuse. In practice, we combine technical and creative work across machine accessibility, information architecture, entity mapping, and external validation - with real human execution (not a “set-and-forget” tool).
Often we can commit to specific performance guarantees. We increase the probability and consistency of being cited and recommended by improving the signals that AI systems rely on, and we keep going until we achieve a meaningful competitive advantage for our clients (resulting in a multiple ROI). Customer success is extremely important to us - it's the reason we exist!
