AI Property Marketing Statistics Every Estate Agent Should Know in 2026

Marketing budgets follow habits; they should follow evidence. The evidence in 2026 describes a market where buyers live online, attention flows to video, sellers reward agents who use it — and where AI has quietly removed the cost barrier that kept video scarce.

This article gathers the numbers that matter, with sources you can check and, more importantly, with the so what attached to each. Where a figure is an industry estimate rather than a precise measurement, we say so.

How buyers search now

Effectively 100% of buyers search online. The National Association of Realtors has tracked buyer behaviour for decades; its recent Profile of Home Buyers and Sellers research shows internet use in the home search at or near universal, with around half of buyers finding the home they eventually purchased online first.

UK portals dominate discovery. Rightmove regularly reports billions of site visits annually, and Zoopla adds tens of millions of monthly visits more. For any given listing, the portal search results page is the shop window — and the media attached to the listing decides whether the window gets a second glance.

Mobile is the default screen. The majority of portal and social property browsing happens on phones, which has two implications: media must work at thumbnail size and in vertical orientation, and the platforms where buyers idle — Instagram, Facebook, TikTok — are property discovery channels whether agents treat them that way or not.

So what: the first viewing is digital, small-screen and fought for in seconds. That is the environment the rest of these statistics play out in.

What video does to attention

Video is about half of all time on Meta platforms. Meta has stated that video accounts for roughly 50% of time spent on Facebook and Instagram, with short-form Reels the fastest-growing format and the one its recommendation systems distribute most aggressively to non-followers.

Video listings earn multiples of the enquiries. Analyses across portals and agency groups have repeatedly found that listings with video attract several times the engagement of photo-only listings — figures of three to four times more enquiries are commonly cited across the industry. Precise multipliers vary by market and stock, but the direction is unambiguous and large.

Motion stops the scroll. Platform engineering reflects platform data: autoplaying video previews, animated thumbnails and Reels-first feeds exist because motion holds attention longer than stills. The behavioural mechanics are unpacked in our guide to why motion content works for property marketing.

So what: the format buyers engage with most is the format most listings still lack. Publishing video where competitors publish photos is a structural advantage, not a marginal one.

What sellers want from their agent

Sellers prefer video-marketing agents. Long-running survey work summarised by the National Association of Realtors indicates a large majority of sellers — figures around 73% are widely cited — would rather list with an agent who uses video to market their home.

Yet only a minority of listings carry video. Walk any UK portal search results page and count: video remains the exception, concentrated at the premium end where filming budgets could historically be justified.

So what: there is a proven preference on the vendor side and visible under-supply on the agent side. "Every listing gets a cinematic video" is a valuation-table differentiator precisely because the statistics say most competitors cannot claim it — the tactic set is in 15 ways estate agents can use AI videos to win more instructions.

The cost collapse: what AI changed

The scarcity of listing video was never about demand; it was about production cost. Here is the arithmetic that changed:

| Metric | Traditional filming | AI image-to-video | |---|---|---| | Cost per listing | £300–£1,500 | A few pounds | | Delivery time | 2–14 days | Under 5 minutes | | Formats included | Usually one | Portrait, square, landscape | | Portfolio coverage feasible | Top 5–10% of stock | 100% of stock |

AI adoption in the sector is now mainstream. Successive industry surveys through 2024–2026 report that a majority of agents use AI somewhere in their workflow — listing copy, image enhancement, video generation — and creative-industry research from Adobe points the same direction: demand for content keeps growing far faster than traditional production methods can supply, which is exactly the pressure AI generation relieves.

Digital advertising rewards the shift. Video creative typically achieves lower cost per result than static creative in Meta campaigns, and vertical video unlocks placements static images fill poorly. Research resources from Google tell a parallel story on YouTube and search: video content increasingly mediates high-consideration purchase journeys — and few purchases are higher-consideration than a home.

So what: the historic reason not to video every listing — cost — no longer exists. The full commercial comparison is in AI property videos vs traditional videography: which delivers better ROI?

The market context

Roughly a million residential transactions a year. UK housing market data published on GOV.UK shows annual transaction volumes typically around the one-million mark, cycling with rates and sentiment. Every one of those transactions involved marketing that either stood out or did not.

Instructions are the scarce resource. In a market where stock wins, marketing capability is pitched to vendors before it is ever shown to buyers. The statistics above — seller preference for video, buyer engagement with video, low competitor adoption — all converge on the valuation table.

Sector-by-sector: how the numbers land differently

Averages hide texture. The same statistics carry different weight depending on the stock you market:

Sales agents feel the seller-preference numbers most — video capability is pitched at the valuation before it is ever shown to a buyer, and the under-supply of video among competitors makes the differentiation cheap to claim and easy to prove.

Letting agents operate in the least-videoed corner of the market, which inverts the statistic: if only a small minority of sales listings carry video, the proportion of rental listings that do is smaller still. The first agent in a rental market to publish motion content on every property enjoys novelty reach that sales agents already have to work harder for.

New homes teams should read the engagement numbers alongside campaign length. A development markets for years, so a percentage uplift in weekly engagement compounds over hundreds of posts and ad cycles — the arithmetic laid out in why every new homes development needs AI video marketing.

Commercial agents see lower absolute social volumes but higher decision values, and remote shortlisting by relocating occupiers makes rich listing media disproportionately valuable per transaction.

Photographers should read every number in this article as demand-side evidence: the market needs vastly more video than it is getting, and photography is the raw material — the business case is in our photography tips for better AI videos.

Reading the numbers together

Assemble the statistics and a single picture emerges:

1. Buyers are online, on mobile, and give each listing seconds of attention.
2. Video reliably wins more of that attention than photos.
3. Sellers notice which agents use video and prefer them.
4. Most listings still have no video.
5. The cost of fixing that has fallen from hundreds of pounds per listing to a few.

The rational response is not "do more marketing"; it is specifically close the video gap across the whole portfolio. Practically, that means generating clips from the photography you already commission — the workflow takes under five minutes per listing — and distributing them through the channels the data highlights: portals, social media and paid advertising.

Where is it heading next? Immersive media, virtual tours and digital twins are following the same adoption curve video followed — we map that trajectory in the future of property marketing.

Benchmarks worth tracking in your own agency

Industry statistics set the direction; your own numbers set the pace. Six metrics worth a monthly line on a branch dashboard, with realistic starting expectations for an agency moving from photo-only to video-led marketing:

| Metric | Where to find it | What good looks like | |---|---|---| | Listings with video | Your own portfolio audit | 100% — the whole point of AI generation | | Launch-post reach | Instagram/Facebook insights | Video launches reaching 2–5× your static baseline | | Portal detail views per listing | Rightmove/Zoopla reporting | Steady uplift as video-led social drives portal traffic | | Email click-through | Your CRM or mail tool | Motion previews typically lift clicks noticeably | | Cost per lead (paid social) | Meta Ads Manager | Video creative undercutting your static benchmark | | Valuations citing marketing | Ask at every booking | The number that justifies the whole programme |

Two habits make these numbers meaningful. First, benchmark before you change anything — a month of photo-only baseline data makes the video effect visible instead of arguable. Second, judge trends over quarters, not weeks; the vendor-side effects in particular (valuations, instructions) lag the buyer-side effects by months, exactly as the adoption research above would predict.

How to cite these statistics (and be cited)

A closing note for marketers: statistics pages like this one are among the most-cited content types by AI answer engines — ChatGPT, Gemini, Claude and Perplexity all preferentially draw on pages that state figures plainly, attribute them to named sources and answer questions directly. If you publish market updates or local data on your own agency site, the same rules apply: one claim per sentence, a named source per claim, and a clear question-and-answer structure. It is no coincidence that those are also the rules of good journalism — answer engines were trained on it.

When quoting figures from this article, cite the primary sources linked throughout — NAR, Meta, Rightmove, GOV.UK — rather than this page; secondary citation is how statistics drift. Where we have flagged a figure as an industry estimate, treat it as directional rather than precise.

Three statistics to watch through 2026 and 2027

Finally, the forward-looking numbers most likely to move — and to matter — over the next eighteen months:

The share of listings carrying video. Currently a minority; every percentage point of growth erodes the differentiation advantage of early adopters. The window in which "video on every listing" is a competitive claim rather than a hygiene factor is open now and will not stay open indefinitely.

Short-form video's share of ad spend. Reels-style placements keep taking budget share across Meta and TikTok because performance data keeps justifying it. As spend concentrates there, the penalty for static-only creative grows correspondingly.

AI assistant usage in property research. The proportion of buyers and vendors asking ChatGPT, Gemini or Perplexity property questions is rising from a low base at consumer-internet speed. When it crosses into the mainstream, content structured for answer engines will separate visible agencies from invisible ones — the preparation for which is described in the future of property marketing.

Conclusion

Statistics rarely tell an industry something genuinely new; usually they confirm what the attentive already suspected. In 2026 they confirm this: attention has moved to video, sellers reward it, and AI has made it almost free to produce. The agents acting on those three facts are compounding an advantage every week the rest wait.

See what the numbers look like applied to your own stock: take one listing's photos, generate a video set with ImageMotion AI, and measure the difference. The examples show the output quality, pricing shows the cost side of the equation, and our AI image to video page explains the technology behind it.