Real estate comment automation: a Dubai agency with no support team

Level8, a Dubai agency selling off-plan property to international buyers, handles more than a thousand comments and direct messages across organic posts and paid ads without a dedicated support team. Recurring questions (price, payment plan, handover, eligibility) are answered automatically; anything touching negotiation, financing or contractual terms goes to a human advisor with the full conversation history.

Most guides about comment automation are written from the tool's point of view. This one is written from a customer's: what Level8 automated, what it deliberately kept human, and a six-step playbook any agency can copy.

Level8 at a glance

Why real estate leads rarely arrive through a form

Property marketing has quietly moved into the comment section. A reel shows a tower, a payment plan, a handover date, and underneath it the same three questions repeat from different people: price? payment plan? can foreigners buy?

Three things make this hard to handle manually:

• The highest-intent question is public, so every other prospect scrolling the thread sees whether it was answered.

• It gets buried within minutes under emoji replies and tagged friends.

• It arrives at any hour, because the buyers are in Europe, the Gulf and Asia at once.

The consequence is blunt: whoever answers first usually gets the viewing. Not the best agency, not the best listing: the first reply.

The setup: three channels, one inbox

Level8 consolidated three streams that most agencies treat separately:

1. Organic comments under reels and carousels.

2. Ad comments: the thread attached to a paid campaign, which most teams never open.

3. Direct messages, including everything pushed there from the two streams above.

Consolidation is the unglamorous half of the work, and the half that makes the rest possible. Once every message lands in one place, the question stops being "who is watching Instagram right now" and becomes "what should happen to a message of this type".

What Level8 automated

The automated layer covers the predictable part of the conversation, which turns out to be most of it.

• Public acknowledgement. A comment asking about price gets a short public reply and an invitation to continue in DM. The thread stays alive, other readers see the brand is responsive, and the actual conversation moves somewhere private.

• Deflection of recurring questions. Handover dates, payment plan structure, whether non-residents can buy, what the registration fees are. These have stable answers and do not need a human to repeat them.

• Qualification. Budget range, timeline, whether the buyer is investing or relocating, asked conversationally in DM before anyone's calendar is involved.

• Routing. High-intent signals escalate. Everything else stays in the automated track.

This is closer to customer support automation than to marketing automation: the goal is a correct answer fast, not a clever one. The public-reply-then-DM mechanism is the same one described in our guide to comment-to-DM automation.

What Level8 deliberately did not automate

This section matters more than the previous one, and it is the part most case studies skip.

Nothing touching a specific price negotiation, a mortgage structure, a tax position or a contractual term is answered automatically. Not because a model could not produce a plausible paragraph, but because a plausible paragraph is exactly the danger. On a purchase of this size, a confidently wrong answer about financing costs more than a slow one.

So the handoff is explicit. Once intent is established, the conversation moves to a human advisor inside the agency's own CRM, with the full comment and DM history attached. That advisor answers the questions automation must never touch: how the escrow account works, what protects a buyer if a developer fails, what the contract actually commits them to. The prospect never repeats themselves, and the advisor starts already knowing the budget and the timeline.

The rule Level8 uses is simple enough to hand to any team: automate the questions that have one correct answer; escalate the questions that have a personal one.

The channel most agencies ignore: comments under paid ads

An ad comment thread is the most under-managed surface in paid social. The budget is already spent to put the post in front of the right person. That person then asks a question underneath it, and in most accounts nobody ever reads it.

Worse, the thread is where objections accumulate in public. One unanswered "isn't Dubai a bubble?" sits under a campaign for weeks, read by everyone the ad reaches afterwards.

Level8 treats ad comments as a first-class channel, with the same automation and the same escalation rules as organic. It is the single change with the clearest commercial logic: the traffic is already paid for, so the marginal cost of answering is close to zero and the marginal cost of ignoring is the whole campaign. Our guide to monitoring comments on Facebook ads explains where these threads hide.

Protecting a luxury brand in the comment section

Premium property attracts a specific kind of noise: fake agent accounts soliciting under the post, scam DMs sent to prospects who commented, and off-topic argument threads. None of it is about the product; all of it is visible to buyers.

Moderation here is not censorship, it is hygiene, the same reasoning behind protecting brand reputation in any regulated or high-ticket category. Genuine objections stay and get answered publicly, because an answered objection converts better than an absent one. Impersonation and solicitation get removed.

The six-step playbook

Stripped of anything specific to real estate, here is the sequence any agency can run:

1. Consolidate first. Organic comments, ad comments and DMs into one queue before writing a single automation.

2. Log the recurring questions for two weeks. Do not guess them. The top five are usually more boring and more frequent than anyone expects.

3. Write one canonical answer per question. Short, factual, no sales language. This becomes the automated layer.

4. Draw the escalation line explicitly. Write down which topics a human must own. Money, legal and contractual terms belong on that list.

5. Treat ad comments as a channel, not an afterthought. Apply the same rules to paid threads.

6. Review the escalated conversations weekly. Anything escalated repeatedly for the same reason is a missing canonical answer.

What to measure

Four numbers tell you whether the setup works, and they are worth instrumenting before you start rather than after:

1. Time to first response, split between organic and paid threads.

2. Share of conversations resolved without human intervention.

3. Conversations escalated to an advisor per week: the number that shows whether automation is filtering or blocking.

4. Bookings attributed to a comment or DM as first touch.

The third one is the one teams forget. Automation that escalates nothing is not efficient, it is deaf. Sentiment tagging helps here, since negative messages should leave the automated track; see our guide to comment sentiment analysis.

Related guides

• Real estate social media: turn listing comments into viewings

Where Blabla fits

Level8 is a Blabla customer, and each part of this setup maps to a Blabla feature. The automations bring organic comments, ad comments and Instagram or Facebook DMs into one inbox, post the short public reply and send the DM. AI replies answer recurring questions in the brand's tone from its own FAQ, and can reproduce saved answers word for word when precision matters. Conversations can be tagged and routed to a person, and moderation hides fake agents and scam replies around the clock. What stays human is your decision, not the tool's.

The takeaway

Level8's result did not come from a clever prompt. It came from consolidating three channels, writing down the answers that never change, and being strict about the ones that must stay human. That combination is what let a small agency carry a thousand-plus conversations without building a support desk, and it transfers to any business whose buyers ask their first question in public.