Use AI to draft from facts you supply: one page for each service and each area you actually serve, built on real job details, plus ad variants that state prices and conditions plainly. Don't mass-produce city pages by swapping place names, which Google can treat as doorway abuse, and don't advertise prices you can't honour.
The drafting is the easy part. What AI can't supply is the proof: job photos, notes from real repairs, review quotes and your actual prices. Collect those first, give the model nothing else to work from, and edit out every claim that isn't in your records. Google's spam policies (the page was updated on 28 August 2026) name two ways AI-written marketing goes wrong, and both are avoidable.
Pages Google keeps, and pages it can treat as doorways
Google's spam policies define doorway abuse as sites or pages created to rank for specific, similar search queries, and one of their examples is "having multiple domain names or pages targeted at specific regions or cities that funnel users to one page". They define scaled content abuse as many pages generated for the primary purpose of manipulating search rankings, give mass-producing pages with generative AI that add nothing for users as one example, and say the rule applies however the pages are made. Google's separate guidance on generative AI adds that you should manually fact-check and review AI-written content before publishing it, including titles, descriptions and image alt text.
Read together, those lines don't ban AI drafting. They ban the lazy version: the same page with a different place name dropped in forty times. A page for one area passes when it contains something true only for that area and would satisfy a visitor who never sees another page on your site. Four tests for every page, before you publish it:
- Do we do jobs in this area? If the answer is no, there is no page.
- Does the page contain at least three facts that are true only here (job counts, typical doors, travel time, photos, a customer quote)?
- Could a visitor book, or at least decide, from this page alone, with the price range, the way an appointment works and a phone number or form?
- Would you be comfortable if each page had to stand on its own merits, rather than as one of forty variations?
My own rule is to start with three to five area pages and add one only when you have local facts to put on it. If a page gets no impressions after two or three months and holds no unique facts, merge it into a broader page rather than keeping it as filler. The appliance repair marketing tutorial covers the same local-page problem for a neighbouring trade, and what AI can and can't do for local SEO sets expectations for the whole exercise.
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Buy nowThe local facts sheet: what the model is allowed to use
For each area page, fill in one sheet from your own records. The model gets this sheet and nothing else, which is how you keep invented claims out. Here is a sheet for one area of a three-technician firm (illustrative):
| Field | Example entry | Where it comes from |
|---|---|---|
| Jobs in the last 12 months | 14 spring and cable repairs, 3 opener replacements | Job system export |
| Typical doors | Mostly double sectional doors on homes built in the 1990s and 2000s | Technician notes |
| Faults seen most | Broken springs; frayed cables on older doors | Job notes |
| Travel time from the depot | About 18 minutes | Route planner |
| Appointment windows | Morning or afternoon; emergencies first | Dispatcher |
| Prices | The current range table, per fault and door size | Your price table |
| Photos, with permission | Six, each with a caption; no house numbers or number plates | Job photos |
| Review quotes, with permission | Two short quotes, first name only | Google reviews |
| What you don't do here | No commercial roller shutters | Owner |
Notice what the sheet leaves out: years in business, number of customers, awards, licences and insurance. If those are true and you can document them, add them as fields, with the document. If they aren't on the sheet, the model has no business writing them, and a model asked for a persuasive page will happily write them anyway.
Prompting one area page, and what to cut from the draft
Paste the sheet for one area under a short instruction. The instruction does most of the quality control:
Write a page for [Area] for a garage door repair company, 350 to 450 words, with these headings: Garage door repair in [Area]; What we usually fix here; How an appointment works; What it costs; Recent jobs.
Use only the facts in the sheet below. Do not add years in business, customer counts, awards, licences, insurance, guarantees or opening hours that are not in the sheet. If a fact you need is missing, write [MISSING: what] instead of inventing it.
No superlatives, no "best" or "lowest price". Use the spelling our customers use, in plain sentences a homeowner can read aloud.
[Paste the facts sheet here]Even with those rules, read every sentence against the sheet. Here are five lines a first draft might contain, and what to do with them (illustrative):
| Line in the draft | Problem | Replace with |
|---|---|---|
| "Trusted by local homeowners for over 20 years" | Not on the sheet | "We repaired 14 doors in [Area] in the last 12 months" |
| "Fully licensed, bonded and insured" | Can't be verified from the sheet, and requirements differ by place | Only what you hold, stated exactly, or nothing |
| "Open 24/7 for emergencies" | Not true unless someone answers at 3 a.m. | "Phones answered 7 a.m. to 9 p.m.; overnight messages returned within [X] minutes" |
| "The lowest prices around" | Can't be proved | "An itemised quote before any work starts" |
| "Over 1,000 five-star reviews" | Invented figure | The real count and rating from your profile, or leave it out |
Do the same for photos. Write the caption and alt text from the facts ("Spring replacement on a double sectional door in [Area]"), not from what a model thinks it sees. Google's guidance on AI content says to review metadata such as alt text too, because it can appear in results.
Honest offers: replacing the bait price with something you can honour
A bait price is a low headline figure that few customers ever pay. It is also the fastest way to turn a lead into a complaint. Google Ads' misrepresentation policy lists, among other things, pricing practices that create a false or misleading impression of cost, failing to disclose the full expense clearly, and promising offers in the ad that aren't available. An AI asked to "write a compelling offer" will happily produce one of these, so give it the opposite brief: every claim must match something in your records. Compare the claims in the left column of this table with the honest alternatives on the right:
| Bait-style claim | Why it fails | Honest alternative |
|---|---|---|
| "$29 service call" | The real cost is the repair, not the visit | "Call-out fee $[X], credited against your repair if you go ahead" |
| "Spring replacement $99" | Few jobs cost that after parts and labour | "Most spring replacements cost $240 to $395 including labour and a safety check" |
| "Same-day service guaranteed" | You can't guarantee a technician is free | "Same-day appointments when you book before [time]; emergencies first" |
| "Free estimates" (when a fee applies) | Hidden cost | Say exactly which visits are free |
| "Lowest price guaranteed" | Unprovable | "Itemised quote before work, with parts and labour listed" |
Build the "most repairs cost" line from your invoices, exactly as the price range for a chatbot is built: take the last 20 jobs of one type, sort the totals, drop the two highest and two lowest, and publish what remains. With the illustrative totals in the garage door chatbot tutorial the middle 16 run from $240 to $395, so that is the line, not the cheapest invoice of the year. Reserve "from" for fixed-price items such as a diagnostic visit, and keep the website, ads and phone script saying the same thing, because a price in an ad that doesn't match the page is a policy problem as well as a customer one.
Search ad variants with character counts and one provable claim each
Google's responsive search ad help allows each ad up to 15 headlines (30 characters apiece) and 4 descriptions (90 characters apiece), and recommends at least two such ads in every ad group. That structure suits AI drafting, because you want several short variants that each carry one claim you can prove. Give the model your facts and ask for a batch:
Write 8 headlines of 30 characters or fewer and 3 descriptions of 90 characters or fewer for a responsive search ad for [fault], for a garage door repair company.
Use only these facts: [price range, warranty period, what the visit includes, appointment windows, call-out fee policy].
Each line may make one claim. No superlatives, no "guaranteed" unless the terms say so, no urgency we can't meet. Match the spelling on our website.
Show the character count after each line.Language models are unreliable at counting characters, so check every line with a =LEN() formula in a spreadsheet before you upload anything. Here are illustrative assets for three ad groups, with the proof you need to hold for each claim:
| Ad group | Asset | Text | Chars | Proof you must hold |
|---|---|---|---|---|
| Broken spring | Headline | Broken Garage Door Spring? | 26 | None (a question) |
| Broken spring | Headline | Typical Cost $240 to $395 | 25 | Middle 16 of your last 20 jobs |
| Broken spring | Headline | 12-Month Labour Warranty | 24 | Written in your terms |
| Broken spring | Description | Two-spring replacement with balance and safety checks. Price confirmed before work. | 83 | Test record on the job sheet |
| Door off its track | Headline | Garage Door Off Its Track? | 26 | None (a question) |
| Door off its track | Headline | Same-Day Slots Most Weekdays | 28 | Calendar history for the last quarter |
| Door off its track | Description | Keep clear of the door. Send a photo and we'll tell you what to expect before we visit. | 87 | Someone reads the photos |
| Opener not working | Headline | Opener Not Working? | 19 | None (a question) |
| Opener not working | Headline | Itemised Quote Before Work | 26 | Every quote lists parts and labour |
| Opener not working | Description | We check sensors, remotes and the motor first, so you only pay to replace what is faulty. | 89 | Your diagnostic routine |
Do a break-even sum before you spend a dollar on clicks. Take an average repair invoice of $290, of which about 55% is left as gross margin after parts, technician time and travel: $160. If one call in three turns into a booked job, each call is worth about $53 ($160 divided by three). An ad group that costs more than $53 per call is losing money on those numbers, however good the headlines look. These are example figures, so replace each one with your own: your average invoice, your margin, and the share of calls that book, which you can measure by tagging every enquiry in your job system.
Three habits keep the ads honest after launch. First, make the landing page say the same thing: Google Ads policy also prohibits promotions that aren't relevant to the destination, so a headline quoting a range needs that range on the page. Second, test one angle at a time (price clarity against safety, say) and judge by calls and booked jobs over three or four weeks, not by clicks. Third, read the search terms report weekly for the first month and add negative keywords for people who want parts, DIY instructions, jobs or courses. Those searchers cost money and will never book you.
If you pay for ads, the same facts sheet feeds your enquiry handling. Once calls and forms arrive, the overview of what AI can take off a garage door team shows where the next hours of office time go.
Review requests sent the day the door works again
Google's policy lets businesses ask customers for reviews of genuine experiences, but not in ways that influence the outcome. It prohibits offering payment, discounts or free goods or services in exchange for reviews, prohibits selectively soliciting positive reviews, and prohibits discouraging negative ones. Reviews posted because of an incentive can be removed. That shapes how you use AI here: it personalises the request and drafts replies, and it never decides who gets asked.
The simplest compliant system sends the same request to every customer, soon after the job is finished and the door works. To get your link, go to your Business Profile in a computer browser and select Read reviews, then Get more reviews. QR codes can't be generated from a phone. A message you can adapt:
Hi [first name], thanks for choosing us today for your [garage door spring replacement]. We'd value an honest review of the visit: [link]. Either way, if anything wasn't right, reply to this message and we'll put it right. [your name]
AI's job is the bracketed part: reading the job record and inserting the right description ("spring replacement", "opener installation") so the message doesn't read like a form. It doesn't read the customer's mood and it never filters the send list. If your tool offers to send requests only to customers who scored you highly in a private survey, switch that off, because that is selective solicitation. The tutorial on automated Google review requests covers the sending side.
Replies are where AI saves more time and causes more trouble. Google's tips for review replies ask you to stay polite and professional, keep replies short, make each one specific rather than a stock thank-you, and keep it conversational, not promotional. Two house rules belong on top of those: never repeat a customer's job details in public, and move any dispute to a phone call. Here is a draft reply to an illustrative three-star review, and what to change in it:
Review: "Spring was replaced quickly but nobody told me the opener needed adjusting too, and I was charged for it."
First draft: "Thanks, [name]! We're sorry your experience wasn't five-star. The opener adjustment was $65 for 30 minutes of work on your opener. As an apology, enjoy 10% off your next visit!"
Fixed reply: "Thank you for the feedback, [first name]. You're right that we should have explained the opener adjustment and its price before we did it. We've added that step to our visit checklist. Please call [number] and ask for [role] so we can go through the invoice with you. [Your name]"
The first draft breaks three rules: it repeats private job details in public, it offers a discount in a reply, and it sounds sarcastic. The fix acknowledges the specific complaint, names one concrete change and moves the detail offline. Read every AI reply before it posts.
Profile settings that decide whether the pages get seen
Local pages work alongside your Google Business Profile, and the profile has its own rules that an AI draft can break without anyone noticing. Check each row against what Google actually says:
| Profile element | What Google says | Garage door example |
|---|---|---|
| Business name | Must reflect the real-world name; no taglines, service descriptions, phone numbers, hours or location details | Your trading name as on the van and invoices, not "Best Garage Door Repair [City] 24/7" |
| Service area | Up to 20 areas, set by city, postal code or similar; no radius; keep within about two hours' drive; hide the address if you don't serve customers there | List the areas you really attend, and hide a depot address |
| Categories | As few and as specific as possible; describe what the business is, not what it sells | Choose the one matching repairs first; add others only for work you would take |
| Description | Don't focus on promotions, prices or sales; no links | Describe services and how you work; keep prices on your website |
| Photos | Files of 10 KB to 5 MB in JPG or PNG, with 720 pixels square recommended; images should represent reality, without heavy edits | Real jobs and real vans, not generated images |
| Posts | Undated posts move to the archive after six months; Google's posting tips warn against auto-generated content | Draft with AI, approve each post, and date every offer |
| Ranking | Mainly relevance, distance and prominence; reviews help; you can't pay for better local ranking | Complete the profile and collect real reviews; you can't move closer to customers |
AI is good at the repetitive parts here: service descriptions written from your price table, a weekly post drafted from a finished job, a first pass at alt text. The tutorial on optimising your Google Business Profile with AI goes through the dashboard step by step. What AI can't do is decide that a generated picture of a door is acceptable as evidence of your work. Google's photo guidance asks for images that represent reality, so use your own.
Measure the pages and ads before you write more
Resist the urge to publish twenty more pages in month two. Write the first three service pages and the first three area pages, run the ads for a month, then decide. A monthly review of about 45 minutes is enough:
| Measure | Where to find it | What to do with it |
|---|---|---|
| Calls and form enquiries by source | Phone log, request form, and a question to every caller | Expand the page or ad group that brings bookings |
| Impressions and clicks per page | Google Search Console, performance report by page | Merge area pages with no impressions after two or three months |
| Booked jobs per ad group | Job system, tagged by source | Pause groups that produce calls but no jobs |
| Review count and reply time | Business Profile | Check that review requests are actually going out |
| Jobs above your published range | Invoices | If more than one in five, widen the range |
If the numbers disappoint, check the pages before the ads. A page that repeats another with a different place name, a price the phone team contradicts, or a review count that never moves each points to a fault in your own records, and AI can't draft its way out of those. If the numbers look good, extend the same method one step: another area with real jobs behind it, or another fault with its own photo set and price range. The method stays the same each time: facts first, model second, and a human reading every line before it goes live.
Questions garage door owners ask about AI-written marketing
How many area pages should a garage door company build?
Start with three to five, for areas where you have done real jobs and hold facts to put on the page. Add another only when you have a local detail, a photo set and a price or travel note that belongs to it. Google's spam policy targets pages made to rank for similar searches, and AI can generate hundreds in an hour, so restraint is your safeguard.
Is 'from $X' pricing allowed in ads?
It is allowed when it is accurate and the full cost is clear. Google Ads policy prohibits pricing that gives a misleading impression of cost, and offers that aren't available. Use 'from' for fixed-price items such as a diagnostic visit, and show a typical range for repairs whose price depends on the door.
Can I use AI-generated pictures of garage doors?
Not as examples of your work. Google's Business Profile photo guidance says images should represent reality and avoid heavy edits. Real before-and-after photos from your own jobs, taken with permission and with house numbers and number plates out of shot, build more trust than any generated image.
Can I give a discount for a review?
No. Google's review policy prohibits offering payment, discounts or free goods or services in exchange for reviews, and reviews posted because of an incentive can be removed. You may ask every customer for an honest review, provided you don't select only happy customers or discourage negative ones.
Further reads
- Garage Door Quote Template: Itemised Spring and Opener Wording With AI — Itemised quote wording that matches the honest prices you advertise.
- Getting More Reviews After Every Job With AI Follow-Ups — Automate the follow-up after each job so review requests actually go out.
- How to Write Google Business Profile Posts With AI Every Week — Weekly profile posts that don't read as automated.
- How to Test Ad Variations With AI on a Small Budget — Run ad tests on a small budget, changing one thing at a time.
- AI Marketing for Contractors: Reviews, Case Studies and Local Posts — Turn finished jobs into case studies and local posts.
- How to Use AI to Respond to Google Reviews — Reply examples for good, mixed and bad Google reviews.
- Garage Door Repair Contract: Draft Terms and Warranty Wording With AI — Warranty wording that backs up the claims in your ads.
- Garage Door Leads: Qualify and Answer Them Faster With AI — A fixed first reply, AI-drafted triage, duplicate checks and a cost-per-booked-job table that shows whether bought garage door leads are worth the money.
- Fence Company Marketing: Local Pages, Photos and Posts With AI — A claims sheet, town pages that pass Google's spam tests, a photo caption routine, a posting rhythm and a four-week plan a small crew can keep up.
- Get Landscaping Clients: Project Photos, Local Search and AI Follow-Up — Week-by-week steps for landscapers: tidy the Google profile, publish captioned project photos, request reviews and follow up every enquiry with AI drafts.
- Septic Company Marketing: Seasonal Offers and Local Pages With AI — A septic company's year of offers, pump-out reminders, local pages and review asks, built from its own due dates and drafted with AI.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Google Search Central spam policies and generative AI guidance, Google Business Profile Help (guidelines, photos, service areas, posts, reviews, ranking), Google Ads Help (misrepresentation policy, responsive search ads).