5,210%
increase in AI platform clicks
Now 98%
visibility across target prompts
-ve to +ve
net overall sentiment shift
Before its sale in early 2026, the Swedish Diner was a thriving restaurant in the city of Helsingborg, Sweden, serving a mix of classic Swedish and American dishes in innovative diner settings.
The restaurant was popular in the real world among loyal customers, but discovery by new customers was low, with ChatGPT and Gemini contributing very little to the mix. Referrals from AI assistants to the Swedish Diner's website were hovering around double digits, the restaurant had almost no visibility across commercially meaningful prompts on the main AI assistants, and where it could be found, sentiment was poor.
This is a common issue when a business's digital footprint isn’t correctly optimised for the signals that AI assistants rely on to understand and recommend them.
We carried out an exhaustive mapping of the restaurant’s ChatGPT brand-resolution and service-resolution fit, then executed a substantial optimisation backlog designed to strengthen the brand and service footprint’s consistency, crawlability, machine readability, usability, and performance.
This work sits within Recrawled’s three-phased program, moving from Diagnosis + Setup into Repair + Optimisation, and then into Management + Continuity, so improvements can be protected from drift and compounded over time as AI discovery behaviours evolve.
We re-tested a target prompt set, tracked changes in inclusion and accuracy over time, and maintained a prioritised optimisation pipeline based on what AI tools were actually returning. This “always-on” approach helped prevent drift and ensured improvements compounded as AI discovery behaviours evolve.
In less than a year, traffic from ChatGPT to the Swedish Diner’s website moved from zero to becoming the their largest single referrer, and the restaurant rapidly started attributing real-world foot traffic to ChatGPT.
These results compounded over time as the client’s AI footprint matured and eventually our work helped the owners to be able sell the restaurant to Soho5 in early 2026 and retire early.
AI recommendation moments are now part of the buying journey. Brands that win are the ones that are easiest for AI systems to understand, verify, and recommend confidently. This success story demonstrates Recrawled’s approach: start with fundamentals, repair resolution blockers, optimise clarity and trust signals, and keep it always-on so results appear early and compound over time.
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!