Build the month in four weeks of fixed post types, give the AI your approved facts and banned phrases, then run every draft through a written checklist for rate claims, required disclosures and promises before a person approves it. AI drafts the words; a named human owns the advertising-rule check for each post.
That split is the whole method. AI is fast at turning one explainer into five variants for different channels. It is poor at knowing today's rates, your regulator's current wording, or when a harmless-sounding sentence becomes a promise. So put the rules in the prompt and in a checklist, and keep a person at the gate. Nothing here is compliance advice; confirm the specifics with your regulator or compliance adviser.
What goes wrong when brokers let AI post freely
Most problems come from five habits of generic AI writing, each of which can turn an ordinary post into an advertising problem.
- Invented or stale rates. A model asked for a "current mortgage rate post" produces a plausible figure. It has no live data.
- Guarantees. "Get approved fast", "lowest rates around", "you'll save thousands". Each is a claim you must be able to prove, and usually cannot.
- Missing disclosures. Posts that name a product or rate often require a licence or registration number, a risk statement or a representative example. A model does not add what you did not tell it.
- Personalised advice by accident. "If you're self-employed, you should fix for five years" is advice to an unknown audience.
- Invented case studies. A story about "a couple in their thirties who saved $400 a month" is made up, and presenting it as real is misleading.
Plan for these rather than hoping to catch them by eye. The calendar below puts a different control against each one.
The month at a glance: four weeks, four post types
Four post types cover a mortgage broker's needs without a rate in sight: explainers, market updates, case studies and process posts. Assign one per week and publish three times a week (12 posts), repurposing each week's core piece.
| Week | Post type | Core piece | Spin-offs (2 per week) | Main risk |
|---|---|---|---|---|
| 1 | Explainer | "How a fixed rate differs from a tracker, in plain words" | Short text post; a single-question carousel | Sounding like personal advice |
| 2 | Market update | "What changed this month, and what it does not mean for you" | A three-bullet summary; a story slide set | Stale or invented figures |
| 3 | Case study | One real, approved client situation, anonymised, or a clearly labelled hypothetical | A quote card; a short before-and-after | Identifiable client; implied guarantee |
| 4 | Process post | "What happens after you apply: the five stages" | A checklist; a thank-you post to referral partners | Promising timings you do not control |
Keep rates out of every one of them. You lose very little: a post that explains a choice stays accurate for months, while one that quotes a number can be out of date within weeks. Point readers to your calculator or a call to ask for a current figure.
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Buy nowStep 1: write the rules page the AI will read
Create a one-page "marketing rules" file once, then paste it at the top of every prompt. Fill it in with your compliance adviser. A sample (illustrative; replace with your real requirements):
MARKETING RULES FOR POSTS
Firm: [trading name]. Registration/licence: [number to show].
Never: quote a rate, a monthly payment or an approval chance.
Never: use "guaranteed", "lowest", "best", "approved", "save $X".
Never: tell a reader what they should do about their own mortgage.
Always: end with [the exact risk warning your regulator
requires, copied in full and unedited]
Always: add "[firm] is [authorisation statement]" on posts naming a product.
Case studies: only from the approved file, or labelled
"Hypothetical example".
Tone: calm, plain English, no urgency or scarcity language.Do not paraphrase the required wording; use the exact text your regulator or compliance adviser gives you. A model will happily "improve" a disclosure into something that no longer satisfies the rule.
Step 2: generate the week's core piece
With the rules pasted in, ask for one core piece at a time. Here is a prompt for week 1 and what a decent first output looks like.
[paste MARKETING RULES]
Write a 150-word LinkedIn post explaining the difference between a
fixed-rate and a tracker mortgage to first-time buyers. No rates, no
figures, no advice about which to choose. Plain English, one short
example of how the monthly payment behaves under each, using a
clearly labelled hypothetical. End with the required risk line.
Give three alternative opening lines.An illustrative output reads: "A fixed rate keeps your payment the same for an agreed period. A tracker follows a base rate, so your payment can rise or fall. Hypothetical example: if the base rate moved by one percentage point, a tracker's payment would change; a fixed payment would not until the deal ended. Neither is better in every case, because it depends on your budget and how much uncertainty you can live with. [Required risk warning.]"
What you would fix: "Neither is better in every case" is fine, but "how much uncertainty you can live with" drifts towards advice, so cut it to "the right choice depends on your circumstances; speak to an adviser." And check that the risk line matches the exact wording on your approved list.
Step 3: the per-post advertising check
Every post, whoever wrote it, goes through the same eight questions before approval. Put them in a shared document or as a required checklist in your scheduler.
- Does it quote a rate, payment or approval chance? If yes, stop and return it.
- Does it use a banned word from the rules page?
- Does it tell a reader what to do about their own situation?
- Does it carry the exact required disclosure, unedited?
- Does it show the registration or licence number where the rules require it?
- Is every claim (a stage, a timing, a fee) something you can evidence from your own process?
- Is any person, client or case identifiable?
- Does an image or graphic imply approval, a rate or an outcome?
Run the AI over the draft as a second reader, then follow with a human. The AI pass hands the reviewer a marked-up starting point; the person's sign-off is what counts.
Check this post against the rules above. For each of the eight
questions below, answer YES or NO and quote the exact words that
caused any YES. Do not rewrite the post.
[the eight questions]
POST: [paste]Treat the AI check as a filter, not a verdict. It will occasionally miss something, and it can flag harmless phrases. Its job is to make the human reviewer's twelve minutes more effective.
Example: a market-update post that would have gone wrong
A draft says: "Rates have fallen again, so now is a great time to lock in. Our clients are saving up to $300 a month!" Run it through the eight questions: it implies a rate trend (question 1), tells the reader to act (3), makes a savings claim you cannot evidence (6), and says "our clients" without an approved source (7). The corrected version reads: "Lenders updated some of their products this month. What that means depends on your situation, so if your fixed term ends within the next six months, it may be worth a conversation. Registration and risk lines." It is less exciting and much safer, and it still invites an enquiry.
Example: a case study done properly
Take a real file the client has approved in writing for use. Remove age, area, employer and any unusual detail. Write the situation, not the result: "A self-employed client with two years of accounts needed a lender that would consider averaged income. We compared several lenders and explained how each treated the second year." Do not claim the outcome as typical. If no approved file exists, use a hypothetical, label it in the first line, and keep it generic: "Hypothetical example: a couple moving from a one-bedroom flat to a house."
Example: a process post that stays truthful about timings
AI loves to write "approval in 48 hours". You do not control lender timings. Give it your own stages and let it phrase them, never the duration.
Write a six-line post listing the stages after a mortgage application
for a client: fact find, lender choice, application, valuation,
offer, completion. Describe what the client does at each stage in
one line. Do not state how long any stage takes. Add: "Timings
depend on the lender and your circumstances."Example: reusing one piece across channels
A single approved week-1 explainer becomes several posts, each re-checked because shortening can lose a disclosure. A LinkedIn post carries the full text. An Instagram caption trims to 60 words but the risk line must stay. A story slide set uses five frames with the registration line on the last. The trap is that short formats tempt you to drop the disclosure; build the line into your caption template so it is there by default.
The calendar filled in: twelve posts, day by day
Here is the full month for a solo broker publishing on Monday, Wednesday and Friday (illustrative). Each row names the post, the channel and the single check most likely to catch it out.
| Day | Post | Channel | Watch for |
|---|---|---|---|
| W1 Mon | Fixed or tracker, in plain words | Advice creep (question 3) | |
| W1 Wed | Three questions to ask before choosing a deal length | Hidden recommendation | |
| W1 Fri | Myth: "banks always give the best rate" | Instagram caption | Absolute claims ("always", "never") |
| W2 Mon | What changed with lenders this month | Stale or invented figures | |
| W2 Wed | What a rate change does not mean for a fixed deal | Implied trend or timing | |
| W2 Fri | One-line reminder to check your fixed-term end date | Instagram story | Urgency wording |
| W3 Mon | Approved case study, anonymised | Identifiable client; typical-outcome implication | |
| W3 Wed | Quote card from the same case, with permission | Missing permission record | |
| W3 Fri | Hypothetical: moving from renting to buying | "Hypothetical" label missing | |
| W4 Mon | Five stages after you apply | Promised timings | |
| W4 Wed | Checklist: documents to gather | Instagram carousel | Disclosure lost when shortened |
| W4 Fri | Thank-you to referral partners | Anything that reads as a payment or inducement |
Note the last row: a public thank-you to estate agents can look like an acknowledgement of business sent. Keep it general and check the rules on referral arrangements in your market before naming partners. The referral side is covered in referral partner updates drafted with AI.
Platform quirks that break the disclosure
The same approved text behaves differently on each channel, so decide where each required line lives.
- LinkedIn: long text is fine, but the feed usually shows only the opening lines before readers expand the post. Put the registration line at the end of the post, and make sure the opening line is not itself a claim.
- Instagram: the feed usually shows only the start of a caption. For a carousel, put the required risk line on the final slide and in the caption, because people screenshot single slides.
- Facebook: a shared link usually pulls in a preview with the linked page's own headline, which you did not write for this post. Check the preview text of any shared page.
- Stories and short video: text disappears in seconds. Include the line in a pinned profile section and as an on-screen caption held for long enough to read.
Prompts that quietly cause trouble, and the fixes
| Risky prompt | Why it goes wrong | Better version |
|---|---|---|
| "Write a post about today's best mortgage rates" | The model has no live data and will invent | "Write a post explaining how to compare mortgage deals, with no rates" |
| "Make it more persuasive" | Pushes towards urgency and guarantees | "Make it clearer and shorter. Keep every claim as it is." |
| "Write a success story about a first-time buyer" | Produces a fabricated case study | "Rewrite this approved case file as a 120-word post, adding nothing" |
| "Add a call to action" | May add "apply now" or "limited time" | "End with: Ask us how this applies to you." |
A monthly review that makes next month better
On the last working day, spend twenty minutes on three things. Count how many drafts changed during the check and which question caught them, because three catches on question 3 means the rules page needs a firmer line on advice. Look at which posts brought enquiries in your CRM; whether explainers beat market updates for your audience is something only your own data can say. And read two posts aloud as if you were a first-time buyer with no jargon. If a sentence needs a mortgage glossary, replace it.
An illustrative month: of twelve drafts, four needed changes. Two were missing the exact disclosure after being shortened, one used "best", and one implied a trend. The fix is a standing line in the prompt template and a banned-word list, not more vigilance. That is how the check gets cheaper over time.
Step 4: the review log and approval step
Approval needs a record. Keep a simple log with columns: post ID, channel, drafted by (AI-assisted), checked by, date, outcome (approved, changed, rejected), and notes. After a month it shows where drafts fail most often, which tells you what to add to the rules page.
A scheduler with an approval stage helps: drafts sit in a queue and only a second person can release them. Sendible's collaboration page, for example, describes assigning posts for approval and sending approval requests individually or in bulk, and Bolta's product page says every post is routed through your approval before publishing. Neither page says which plans include it, so confirm on the plan you would buy before you depend on it. If your scheduler has no approval step, a shared spreadsheet and a rule that the author never publishes their own post does the job.
Making the month cheap in time
A realistic budget for a solo broker (illustrative): 45 minutes to build the rules page once; 60 minutes at the start of the month to generate the four core pieces and their spin-offs; 12 minutes of checking per post for the first month, falling to about 6 once your prompt is tuned. Twelve posts at six minutes is 72 minutes. The whole month comes to roughly three hours. Time yourself in the first month, including the checking, so you have your own before-and-after figure rather than a guess.
Link posts to your CRM so you know what produced enquiries. HubSpot for mortgage brokers shows how to track source and case stage, and what mortgage brokers can automate, and what stays advice draws the line your prompts must respect.
Example: turning a dull explainer into a post people finish
A first draft often reads like a leaflet: "A mortgage is a loan secured on property. There are many types of mortgage available. Contact us to find out more." It is safe and forgettable. Ask the AI to keep every fact but open with a question a first-time buyer really asks, and to cut it to 90 words.
Before: A mortgage is a loan secured on property. There are many types
of mortgage available. Contact us to find out more.
After: Wondering why two people borrowing the same amount can pay
different monthly sums? Three things usually drive it: the
length of the loan, the type of deal, and the size of the
deposit. Next week we'll take them one at a time. Ask us
how this applies to you.The rewrite makes no promise, quotes no figure and gives a reason to follow the series. It still needs the registration and risk lines, which the template adds.
Example: a quick sum for the value of consistency
Say a broker spends five hours a month on posts and receives six enquiries from social channels. If two become cases and the average fee is $1,200 (illustrative), that is $2,400 for five hours, or $480 an hour before costs. Cut the time to three hours with the template and the same results give $800 an hour. The sum says nothing about your results, but it shows why tracking source in your CRM matters: without it you cannot tell whether the posts are worth the three hours.
Example: a post the reviewer rejected
An illustrative log entry: Post 7, Facebook, drafted with AI, checked by the second broker. Outcome: rejected. Reason: the phrase "we can usually get a decision the same day" appeared in the AI draft's opening line. Resolution: removed and replaced with "we'll tell you what to expect at each stage". Note added to the rules page: "never state decision timing". The entry took two minutes to write and prevented a repeat in later months.
Who should own which job
In a one-person firm, the broker plays every part, so build in a gap: draft on Monday, approve on Tuesday with fresh eyes. In a team, split it cleanly. One person generates and edits. A second, preferably the one holding the compliance responsibility, ticks the eight questions. Nobody publishes their own post. If you are the only licensed person, schedule posts at least a day ahead and read each one aloud before the day it goes out.
Fixing a post after it has gone live
Mistakes happen. Decide the procedure now so nobody improvises. Take the post down or edit it at once if the platform allows, note what was wrong and when you changed it in the log, tell your compliance adviser the same day if it involved a rate, a disclosure or a promise, and add the cause to the rules page. A calm written routine makes a small slip a non-event.
Where images and video fit
An AI image of a smiling family with a house key is fine as decoration but implies success. Avoid pictures that suggest approval, keys handed over or "sold" signs unless the post is about a genuine completion you can evidence. Keep AI-generated people out of case studies, where a real or obviously illustrative image is safer. For the wider rules, read using AI-generated images in marketing.
Finally, for emails and case notes that sit alongside the posts, see ChatGPT for mortgage brokers: emails and case summaries. If you would rather set up the whole calendar and approval step with someone, that is what my AI implementation consultation covers. Start with the rules page, though: every later step gets easier once the rules are written down in one place.
Questions mortgage brokers ask about AI and social posts
Can AI quote current mortgage rates in a post?
Only if a person has checked the rate against the lender's live product page that day and the post carries every required disclosure for a quoted rate. Safer is to point to a calculator or a call. AI does not know today's rates and will state stale ones with confidence.
Does AI-written content need extra disclosure?
Rules on advertising apply to the post whoever wrote it, and the firm remains responsible. Whether a post should say AI helped is a separate question; check your regulator's current guidance and any platform labelling rules, and ask your compliance adviser.
Which tool should schedule the posts?
Pick a scheduler that has an approval step, so a second person releases each post. Vendor pages for tools such as Sendible and Bolta describe approval workflows; confirm the feature exists on the plan you would buy before relying on it.
Can I post client reviews and success stories?
Only with the client's written permission, with identifying details removed, and subject to the testimonial and case-study rules in your market. Never let AI invent a case study; use a real one that has been approved, or a clearly labelled hypothetical.
Further reads
- Best AI Tools for Mortgage Brokers at Each Stage of a Case — Tools for the rest of a case, beyond marketing.
- Can You Use AI to Write Testimonials? Where the Legal Line Is — Where AI-written testimonials cross a legal line.
- AI Answering Service for Mortgage Brokers: Cost and What It May Say — Handle the enquiries your posts bring in.
- From Enquiry to Fact Find: An AI Workflow for Mortgage Brokers — What happens after an enquiry arrives.
- Using AI to Spot Remortgage Opportunities in Your Client Bank — Reach existing clients as well as new followers.
- AI Content Creation for Professionals: Turning Expertise Into Posts — A weekly post workflow for accountants, solicitors and consultants: capture, draft, wording limits and a review before publishing.
- AI Tools for Loan Officers: CRM, Follow-Up and Compliance Checks — A CRM-first method for loan officers: compliance fields, guard-railed follow-up prompts, a pre-check step and a log, with no rate quotes from AI.
- AI for Franchise Lead Generation: Staying Inside Advertising Rules — AI for franchise lead generation without breaking advertising or earnings-claim rules: prospect ads, landing pages, FDD timing and lead handling.
- RESPA Section 8 and AI Marketing: A Checklist for Loan Officers — A loan officer's checklist for AI-made marketing and partner content under RESPA Section 8: referral fees, co-marketing, things of value and review.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Sendible's team collaboration page and Bolta's product page (approval workflows); your own regulator's advertising rules, which you must check directly.