Using AI to scale paid media in highly regulated markets

AI-led compliance slashed Google Ads disapprovals to under 3%, cut CPA 37% and grew weight-loss leads 212% for an online GP entering tightly regulated markets.

Compliant performance marketing

The challenge

A leading online GP service provider, set out to launch same-day private prescriptions alongside a clinician-supervised GLP-1 weight-loss programme. Although promotion of the services themselves met all clinical and legal regulations, landing pages and elements of the content consistently triggered Google’s advertising policies. That subtle mismatch caused otherwise compliant ads to be disapproved, landing pages to be flagged and growth to stall.

Using AI to scale paid media in highly regulated market

Our AI-powered solution

Objective	What we built with AI	Why it mattered
Decode policy at scale	An LLM-driven “red-flag scanner” that ingests Google Ads disapproval logs plus ABPI/EFPIA rules, instantly labelling risky words, dosage claims and unsubstantiated efficacy statements.	Cut manual compliance reviews from days to minutes and guided copywriters in real time.
See around the corner	Competitor-diff maps generated by AI summarisation of 170+ rival landing-pages. The model highlighted safe terminology patterns and design tropes.	Gave stakeholders the evidence to back a Hybrid Gateway strategy (consultation-first pages for paid traffic, detailed prescription content reachable organically).
Design dual weight-loss journeys	Prompt-based wireframe generator produced two compliant templates: Treatment Assessment fast path, (£50) and Comprehensive Consultation (£90). AI also rewrote every on-page disclaimer in plain-English at Flesch-Kincaid grade 8 for human review.	Mirrored the “Treatment vs Consultation” PPC/SEO split Google already approved, reducing future ad bans.
Short-circuit MLR sign-off	A retrieval-augmented chatbot trained on HPRA guidance & internal SOPs let clinicians ask, “Does this sentence breach Clause 26?” and receive source-linked answers.	38% faster MLR approval; no external agency e-mails needed.

Impact after 90 days

KPI	Before	After
Ads disapproved for “Prescription drug terms”	42%	<3%
Average review-to-publish time	14 days	8 days
Weight-loss lead volume (PPC)	–	+212%
Cost / acquisition	£71	£45
Organic sessions to new prescription hub	0	17k / month

Why it worked:

AI as compliance co-pilot, not copy machine
We used models to surface risk and opportunity, while clinicians retained final editorial control — a critical nuance for regulators.
Consultation-first framing
Re-ordering the user journey satisfied Google that no prescription was being “promoted”, yet still let genuine patients proceed seamlessly to treatment.
Education > promotion
Weight-loss pages now lead with BMI criteria, follow-up care and Irish-registered doctor profiles — elements Google explicitly views as low-risk healthcare content.

Looking ahead:

With AI-supported governance embedded, our client is rolling the framework into new product launches. The internal team can prototype a new service journey in less than a week and go live confident that it will pass both the compliance team and Google Ads on the first try.

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