The short answer
Use AI for the parts of writing that are slow but low risk: collecting questions, sorting notes, building an outline and producing a rough first draft. Then a person who knows the subject rewrites it in your voice, checks every fact, adds what only your practice knows, and reviews the title, description and markup too. Google's guidance is clear that it judges the result, not the tool, and that many thin pages produced at scale can count as spam.
Find topics worth writing
The best topics come from your own office, not from a tool. Start with real questions, then use AI to sort and group them:
- •Collect the questions your front desk and clinicians hear each week, without any patient details.
- •Add the searches people already use to find you from the Search Console Performance report.
- •Ask an AI tool to group the list into themes and point out duplicates, then pick topics you can answer better than anyone else nearby.
Build the outline
Google says generative AI can be especially useful for researching a topic and adding structure to original content. An outline is where that help is safest:
- •Put the direct answer first, then the details a reader needs to act on it.
- •Ask the tool which follow-up questions a reader might have, then keep only the ones your team can answer well.
- •Note where you will need a source, a photo you own or a quote from your own team.
Give the tool a clear brief
Vague requests produce generic text. Keep a short reusable brief and paste it into each session:
- •Reader: who the page is for and what they already know.
- •Goal: the one question the page answers and the next step you want readers to take.
- •Voice: plain language, short sentences, and words your team actually uses.
- •Limits: no prices, statistics, reviews or testimonials unless you supply them, and mark anything uncertain for checking.
Never ask a tool to invent patient stories, testimonials or results. They would not be true, and publishing them misleads the people you want to help.
Treat the first draft as raw material
A first draft from AI saves typing, not thinking. Google notes that generative models predict a likely sequence of words from their training data rather than look up facts, so drafts can contain errors stated with confidence. Work section by section so you can check each part, and expect to rewrite much of it.
Tip
Read the draft aloud. Lines that sound like they could appear on any practice website are the ones to replace with something specific to yours.
Extra care for health topics
Content about treatments and conditions affects people's health decisions, so accuracy matters most here. Google's helpful content guidance asks whether content is written or reviewed by someone with clear expertise and whether readers can tell who made it.
- •Have a qualified clinician on your team review every clinical statement before it goes live.
- •Avoid promises about results, and describe what a visit involves rather than guaranteeing outcomes.
- •Keep patient names, photos, records and identifying details out of general AI tools.
- •Add a byline for the writer or reviewer, which Google suggests where readers would expect one.
Add what only your practice knows
AI can only repeat patterns from what already exists. Google asks whether content adds original information or analysis beyond the obvious. Your edge is the detail no tool has:
- •How your team actually handles the situation, step by step.
- •The questions people ask at your front desk and how you answer them.
- •Local details such as parking, accessibility and hours.
- •Photos you own of your office and team, used with their permission.
A review routine before publishing
- Structure: does the page answer the question in the first few lines?
- Facts: check every number, name, date and claim against a source you can link, and delete anything you cannot confirm.
- Expertise: the right person on your team reviews clinical or technical points.
- Voice: remove filler and generic phrases, and add your own examples.
- Originality: make sure the page is not a light rewrite of someone else's article.
- Transparency: add a byline and, where AI did much of the work, a short note on how it was used.
For writing that ranks once it is accurate, see how to write content that ranks on Google.
Titles, descriptions and markup
AI is handy for suggesting title and description options, but Google's guidance on generative AI content says the same fact check applies to title elements, meta descriptions, structured data and image alt text, because these can appear in search results.
- •Pick a title that describes the page honestly, without stuffed keywords.
- •Write alt text that describes the actual image, not a list of search terms.
- •Make sure any FAQ or other structured data matches what visitors can see on the page, and validate it before publishing.
Reuse finished content
Once an article is checked and published, AI can help adapt it into a newsletter section, a short video script or a few social captions. Start from the reviewed version so errors do not creep back in, and check each adaptation before it goes out. Our guides on repurposing content across channels and using AI for social media content cover those formats.
Why more pages is not the goal
AI makes it easy to produce many similar pages, such as one per service and town. Google's spam policies describe scaled content abuse as producing many pages mainly to manipulate rankings, no matter how they are created, and its guidance on generative AI names generating many pages without adding value as a risk. Its helpful content guidance also lists extensive automation across many topics as a warning sign.
A few thorough, accurate pages that answer real questions usually serve patients better than dozens of thin ones. If you would like help planning and writing them, see our content marketing service.
Sources
Google updates its guidance, so check the pages for current details.
Frequently Asked Questions
Will Google penalize content written with AI?
Not for using AI as such. Google says it rewards original, helpful content however it is produced, but using automation mainly to manipulate rankings, or publishing many pages that add little value, can fall under its spam policies. What matters is whether a person checked it and whether it helps the reader.
Can AI write our dental or medical articles for us?
It can help with research notes, outlines and rough drafts, but a qualified member of your team should check every clinical statement before publishing. Google warns that generative models predict likely words rather than look up facts, so they can state wrong things confidently.
Should we tell readers that AI helped write a page?
Google suggests adding a note about how content was made where readers would reasonably wonder. Many practices add a byline for the person who wrote or reviewed the page and, where AI played a large part, a short line explaining how it was used.
Can we paste patient details into an AI tool to personalize content?
No. Keep patient names, photos, records and anything that could identify a person out of general AI tools. Use made-up or general scenarios for drafts, and follow your own privacy policies.
Is it worth using AI to write meta descriptions and FAQ answers?
It can save time, but Google says AI output for titles, meta descriptions, structured data and image alt text needs the same fact check as the page. Make sure every FAQ answer in your markup matches the visible text on the page.