Blog what your clients actually ask you, answer it from named sources, and publish only as much as you can verify. In Ontario a blog on your site is a brokerage website, so the advertising rules apply to it; and the main risk of AI-assisted volume is not that search engines dislike it but that unverified claims accumulate faster than anyone reads them.
Key takeaways
Most agent blogs fail for the same reason most agent newsletters fail: they were produced to exist rather than to answer anything. AI makes producing them almost free, which makes the failure faster and larger. The system below is built the other way round — from the questions, from the sources, and with a deliberate cap on volume.
RECO’s bulletin on advertising online is unambiguous about scope: whether a website features all of a brokerage’s agents, a team, or an individual agent, these websites are all brokerage websites, and the brokerage along with the agents featured are responsible for ensuring they comply with all advertising requirements. It notes that one of the most common complaints RECO receives is that the brokerage name is not clearly and prominently identified, and that in team websites the absence or lack of prominence of the employing brokerage misleads the public by suggesting the team is registered to trade.
The same bulletin requires that everything you say online be current, accurate and not misrepresent facts, and that any statement about the services consumers can expect or about an agent’s qualifications be factual and verifiable. The general advertising standards in RECO’s bulletin 5.1 apply to blog posts as much as to a listing ad — including the rules on comparative claims, volume and activity statements, and awards.
So “the market is heating up” in a blog post is a representation. So is “we sell homes faster than the average”.
The difference between a topic and a question is the difference between a page nobody finds and a page that answers somebody. “Spring market update” is a topic. “Do I need a status certificate before I make an offer on a condo?” is a question, and it is one you have answered aloud forty times.
The cheapest source of these is your own sent folder and your call notes. Take the questions you answered this month, group the repeats, and you have a year of posts that are specific to your market and impossible for a competitor to generate generically.
The one rule that keeps an AI-assisted blog out of trouble: the model writes prose, it does not supply facts. Market figures come from the publisher — CREA’s Canadian housing market statistics nationally, your board’s releases locally — and are quoted with the geography and the period. Rules and process come from the regulator; where a post touches law, link a source rather than explaining the statute yourself.
CREA’s AI FAQ describes the failure mode precisely: an AI hallucination is output that sounds accurate or convincing but is actually false, misleading, incomplete or entirely fabricated, and its recommended controls are human review and verification before publication, caution on tasks involving legal advice or other specialised expertise, and training plus an internal policy. The same FAQ states that a REALTOR® who creates inaccurate, deceptive or misleading information as a result of using AI risks being held responsible.
Agents ask whether search engines penalise AI-written content. The published policy is more specific than the rumour. Google’s spam policies define scaled content abuse as generating many pages for the primary purpose of manipulating search rankings rather than helping users, typically large amounts of unoriginal content that provides little value — no matter how it is created, and give as an example using generative AI tools to produce many pages without adding value. The same document treats republishing or lightly rewording content from other sites as scraping.
Note the phrase “no matter how it’s created”. The tool is not the issue; unoriginal volume is. Which conveniently aligns with the professional obligation: publish only what you can verify, and you will never be near the line.
Six steps, one sitting a week
1. Question list. A running list from your inbox and calls. Never write from a topic generator.
2. Source pack. Before drafting, collect the two or three sources the answer rests on, and paste the relevant text into the prompt.
3. Draft against a skeleton. Answer in the first two sentences, then the detail, then what to do next. Instruct the model to use nothing beyond the source pack.
4. Human edit. Add the local specifics only you know. Delete anything that would fit any market in Canada.
5. Compliance pass. Brokerage named and prominent, registered names and permitted terms, no unsupported claim, no client identified without consent.
6. Publish and date it. A visible “current as at” line, because content has to stay current and market posts age fast.
Writing the post and sending the post are governed differently. If the post goes out by email to a list, Canada’s anti-spam legislation applies to the sending — consent, identification and a working unsubscribe — regardless of what drafted the words; our sister firm covers CASL email marketing compliance. If a post quotes a client, testimonials carry their own rules, covered in using testimonials and endorsements legally. And RECO requires consent before publishing photographs or names of buyers and sellers, or property-identifying content, and requires you to remove content promptly if consent is later withdrawn.
A point worth knowing before you build a content library as a business asset. CREA’s FAQ notes that authorship and ownership of AI-generated content remain subject to ongoing legal debate in Canada, that copyright jurisprudence suggests an author must be a natural person, and that protection may therefore apply to works involving meaningful human creative contribution while purely AI-generated content may not qualify. The practical implication is not to stop using the tools; it is that the human editing pass is doing more than improving the prose.
The following is illustrative — a composite of how the workflow is usually assembled, not a measured result.
An agent commits to two posts a month, which is a number she can sustain. The question list comes from her sent folder: this month, what a status certificate covers, and how a holdover clause in a listing agreement works. For each, she assembles a source pack — the relevant regulator or authority page, and where the answer is legal, a link to a page that explains it properly rather than her own summary.
The draft comes back structured and readable, with two sentences of invented detail about timelines which she deletes because neither source says it. She adds three paragraphs about how it actually plays out in her market, runs the compliance checklist, and publishes with the brokerage name in the header and a “current as at” date.
Twelve months later she has twenty-four posts, each answering something a client asked, each carrying sources. Her competitor has three hundred posts written by a subscription, and none of them mention a street name.
The published policy targets scaled content abuse — mass production of unoriginal, low-value pages — explicitly regardless of how the content was created. A small number of genuinely useful, verified posts is not that.
No Ontario rule requires it for text. BCFSA advises BC licensees to communicate to clients and the public when AI tools are being used, and CREA treats disclosure of AI-altered images as prudent. A short line in your site’s about page costs nothing and is consistent with the transparency principle both bodies describe.
Not verbatim without permission. RECO treats plagiarism and scraping as unethical and requires consent for others’ material, and Google treats republishing without added value as scraping. Quote a figure, cite the publisher, link it, and write your own interpretation for your own market — which is the part clients want anyway.
Process. What happens between offer and closing, what a home inspection does and does not cover, what a buyer actually needs to give their lender. It ages slowly, it answers real questions, and it is the content that makes your neighbourhood guides worth reading alongside it.
A 30-minute call is enough to tell you whether AI pays for itself here.
