We aim to create a multiple-times ROI for our clients' businesses by giving them a meaningful visibility, trust and recommendation advantage over their competitors on AI assistants like ChatGPT and Gemini.
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
eMarketer Research, January 2026
We helped a popular diner to become highly visible, more trusted and frequently recommended as a top restaurant choice across AI assistants like ChatGPT.
We helped a British food manufacturing company, specialising in flapjacks, to become ChatGPT's top recommendation for contract manufacturing.
We helped a UK childcare provider chain to be a top recommendation on ChatGPT and Gemini for a vast range of parents' questions and prompts.
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).
We track a range of metrics that quantify visibility (e.g. inclusion in commercially relevant prompts), trust (e.g. sentiment within AI answers), and recommendation outcomes (e.g. website click-throughs). We also track business impact where possible (e.g. revenue attribution). We continuously iterate our work based on tracked metrics.
Yes, because the underlying mechanics (entity clarity, trust signals, machine-readable proof, external validation) apply across categories. The difference is which prompts matter and what evidence AI systems need to recommend your business confidently.
Yes. We can complement them by providing the AI-recommendation roadmap (what to fix, what to publish, what to validate externally), while your existing partners execute parts of it. Or Recrawled can own the delivery end-to-end depending on your preference.
