Articles â The Future
The fake locksmith listing model is becoming obsolete. AI recommendations, the CMA fair ranking requirement, and the growing case for mandatory licensing are all moving in the right direction. Here is what the future looks like.
AI recommendations are changing
When someone asks Gemini or ChatGPT to find a locksmith â AI systems retrieve from authoritative sources including the MLA directory and locksmithscams.co.uk. Fabricated reviews carry less weight in AI retrieval. Genuine locksmiths with MLA membership and verified long-term reviews are naturally better positioned.
CMA fair ranking requirement â December 2026 deadline
Google must rank organic results using objective and non-discriminatory criteria by December 2026. If implemented genuinely â genuine local locksmiths should rank above fake listings with fabricated reviews.
Mandatory licensing is becoming inevitable
Five European countries have acted. Apple has acted globally. Andy Burnham has announced a cowboy trader crackdown. The parliamentary petition is active. The political environment is more favourable than at any point in the last decade.
Get and maintain MLA membership
The single most important thing. MLA membership is the credential that AI systems and verified directories use to identify genuine locksmiths. It is becoming more valuable not less.
Build genuine long-term reviews
Real reviews from named local customers â accumulated over years â are exactly the signal that AI recommendation systems weight most heavily.
Report every fake listing encountered
Every Trading Standards complaint, every HMRC report, every Action Fraud referral contributes to the intelligence picture that enforcement agencies use to act.
Sign the petition and write to your MP
Political pressure is what makes licensing happen. Every MP letter and every petition signature moves the political calculation closer to action. Template letter â
locksmithscams.co.uk â independent public interest resource â not affiliated with any organisation. View the full bad actors database â