AI Content Strategy
Governed, extractable content.
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Vertical programme
SEO and AI visibility for Healthcare
Health queries are among the most heavily filtered in both search and AI answers, and both weight demonstrable expertise over marketing.
At a glance
- Authorship
- Clinician-required
- Governance
- Agreed up front
- Measurement
- Privacy-reviewed
- Realistic goal
- Cited as a reference
- Needs
- Reviewer capacity
What changes in this vertical
Named, qualified authors with verifiable credentials materially affect both ranking and whether a model treats a page as a citable source.
Credentials are the ranking signal
Unattributed health content is discounted and largely ignored by retrieval.
Models defer to institutions
Being cited as a reference is the realistic win, not being recommended as a provider.
Clinician time is the bottleneck
Content queues stall for months waiting on review that was never scheduled.
How patients and healthcare buyers actually find you
Most journeys begin with a condition or symptom, not a provider name.
Symptom-first, brand-later
Visibility on condition questions is what puts you in the consideration set.
Expertise is verified
Credentials are checked by algorithms and by patients.
Assistants are conservative
They redirect to clinical guidance rather than name providers.
Where programmes usually go wrong
Almost all of the failures trace to treating medical content as marketing content.
Unattributed content
Health pages published without a named clinical author are discounted by search engines and ignored by retrieval pipelines.
Clinician bylines and review dates: Every substantive page carries a named, credentialed author and a visible review cycle.
Overclaiming outcomes
Confident language about results attracts regulatory attention and removes you from citable sources.
Evidence-bounded copy: Claims kept inside what published evidence supports, with sources visible on the page.
Ignoring privacy in the measurement stack
Analytics and ad tooling on patient journeys creates exposure nobody reviewed.
Privacy-reviewed measurement: Tracking scoped with your compliance team before deployment.
Treating clinician time as optional
Queues stall waiting for a review that was never scheduled.
Review capacity agreed up front: A named clinical reviewer and a realistic monthly volume set before commissioning.
How an engagement runs here
The same five phases we run for every client, with the vertical detail set out at each one. The full model is on our methodology page.
Audit
Day 01 to 10Baseline plus an authorship, review and measurement-privacy audit. Unattributed health content is the most common finding.
6 platforms500+ queriesBaseline reportDiagnose
Day 11 to 21Whether the constraint is clinical attribution, technical health, or that models defer to institutional sources and have no reason to reach for you.
Content gapsEntity deficitCorpus gapsArchitect
Day 22 to 30A roadmap agreed with your compliance team, including a named clinical reviewer and a monthly review volume that is achievable.
90-day roadmapPillar planEntity planExecute
Day 31 to 180Credentials and schema first, then condition and service content written, clinically reviewed and published within the agreed governance.
Embedded teamWeekly shipMonthly reviewMonitor
OngoingCondition-level visibility and citation as a reference source, tracked alongside the review pipeline, because one gates the other.
Weekly scansDrift alertsQBR recalibration
What you receive each month
Reporting that tracks clinical governance alongside visibility, because one gates the other.
01
Condition-level visibility
Presence on the symptom and condition queries that matter.
02
Citation as a reference
Where models and health surfaces credit your content.
03
Review pipeline status
Drafted, in review, cleared, published.
04
Author authority
Credential coverage for your named clinicians.
05
Technical and privacy health
Schema validity plus consent issues found.
06
Next-cycle plan
Content priorities and required reviewer capacity.
Services that apply here
Entity & Knowledge Graph
Practitioner and organisation records.
LLM Citation & Visibility
Clinical source presence.
Frequently asked questions
Do we need clinician-authored content?
For anything substantive, yes. Unattributed health content is discounted in ranking and largely ignored by retrieval. A named, credentialed author is closer to a prerequisite than an enhancement.
Will AI assistants recommend our practice?
Usually not directly. They favour institutional sources and general guidance. The achievable outcome is being one of the sources they draw on.
How do you handle patient privacy in measurement?
Tracking is scoped with your compliance team before deployment. We will not recommend instrumentation your privacy team has not reviewed.
How much clinician time does this need?
Less than teams fear, but it must be scheduled. A few hours a month of structured review is usually enough; unscheduled review is the most common cause of a stalled healthcare programme.