Three ways in. One AI analyst.

Property Scan, step by step

1. Paste the link. Drop any public Property24 or Private Property listing URL into Scan a Property. A free account gets you 1 free scan a day.
2. Guru reads the listing. The AI extracts every fact from the page (price, sizes, features) and studies the photos with computer vision for condition, finish and red flags.
3. Deep market research. A research agent browses the live web for comparable sales and area data, while our own market pool, official price-index history and registered sale averages load in the background.
4. An independent estimate. The estimate is built from evidence first, never from the seller's number. The server then checks the two against each other: land within 2% of asking and it is treated as suspect, pulled back toward an independent size-based baseline, and the report says so. A separate verifier and a consistency judge challenge it after that.
5. Your report, then keep an eye on it. The full dashboard is ready in minutes at a shareable link. On the Guru and Portfolio plans you can switch on "Guru keeps watching" from the report, and Guru then re-checks that listing every 3 days and emails you price cuts, relistings and delistings.

Home Value Estimate, step by step

1. Tell us about your home. A short wizard: address (with autocomplete), property details, condition, up to 8 photos, and optionally what you paid for it and when, which sharpens your estimate.
2. Drop your documents. Building plans, an offer to purchase, rates or levy statements: Guru reads them with vision AI and pre-fills what it learns.
3. Get the full report. Home valuations are a subscriber feature (or 25 credits once-off): photo-informed condition assessment, comparables, suburb history and the complete dashboard.

Estimate my home →

Snap & Scan, from the pavement

Walked past a For Sale board? Photograph it. Guru reads the agency, the agent and their number, and any reference or QR code straight off the board, then uses where you were standing to find the matching listing nearby. Tap the right one and the usual full report runs on it.

If the property is not advertised online you are not left with nothing: you still get the street brief, which is what is being asked on that road right now, how many homes are on the market around you, and how many are on show or already under offer.

A snap costs 2 credits, and it is the one thing on RealTeasy that is never shareable by link, because a snap holds a photo of somebody's home and the spot you took it from.

How Snap & Scan works →

What's in the full report

The report is a live dashboard rather than a wall of paragraphs, and when you need it on paper any paid plan exports it as a branded PDF with the charts intact, ready for your bond originator, your attorney or whoever you are buying with. Its widgets are computed from real data, and most run without any AI at all:

• Guru Signals & Negotiation Power, a glanceable strip: price-vs-value gap, seller fatigue, suburb overpricing ranking, market heat and rate direction, rolled into one negotiation score.
• The Number, Guru's estimate with its range, an earned confidence score, and Value Triangulation: up to four independent lenses (closest comparable, a real sold anchor, suburb floor-rate maths, your purchase price compounded at suburb growth) converging on the verdict.
• 12-Month Trend & Projection, real monthly movement for the area: the official StatsSA index scaled to your suburb where we have it, otherwise our own tracked listings or the research pass, with the source printed under the chart and a projection at its current pace.
• Suburb Growth · Long Range, the suburb's price path back to 2010+, anchored on registered sale averages and archived history, each dot naming its source.
• Supply & Demand, how much stock the suburb carries, months of inventory at its real sales pace, and whether homes actually close above or below asking.
• Comparable Sales, like-for-like comparables with a price ladder showing where this property slots in.
• Listing Cross-Check, the consistency test: relisting detection, growth-claim sanity checks, size mismatches, condition claims against what the photos show. It flags contradictions in the published information for you to ask about, it does not accuse anyone of anything.
• Investment Verdict & Deal Lab, a decisive INVEST / VALUE PLAY / PASS with named drivers, over a live cockpit: move the deposit, rate, term and rent and watch the repayment, cashflow, cash-on-cash return and total cash-in recompute instantly. It names the deposit at which cashflow turns positive, stress-tests the deal across three rate scenarios, benchmarks it against leaving the money in the money market, and projects your equity out to a sale year you choose, alongside the cost-of-waiting simulator, rental yield and full running costs.
• The Neighbourhood, safety & security profile, local life, and "same money, nearby": suburbs where your budget buys more space per rand.
• Guru's Deep Take, the analyst's free-form read: risks, opportunities, and what the seller's behaviour is telling you.

Built to be honest

The asking price is never allowed to become the answer. Guru's estimate is derived from comparables, size rates and area indices, and the server then measures it against what the seller is asking. If the two land within 2% of each other, the estimate is treated as anchored rather than independent: it gets blended back toward a size-based baseline the AI never touched, its confidence is capped, and the report prints the reason. A verifier re-checks the arithmetic, a consistency judge stops the number swinging between runs, and every widget carries a confidence label naming exactly which data shaped it: suburb, metro, province or national. When the data isn't there, the report says so instead of inventing it. Read where our data comes from and the AI disclaimer.

The server owns the number

There is a division of labour inside every report, and it is the single most important thing to understand about how Guru works: the server owns the figures, the AI writes the explanation.

Every number you can act on is computed in ordinary, testable code, not generated as text. Price per m², the independent baseline, the confidence range, bond repayments, transfer duty, total cost of acquisition, the yield and growth projections, the negotiation score: all arithmetic, all reproducible. The AI's job is to research the market, read the photos, weigh what it found and explain it in plain language. When the two disagree, the code wins and the correction is recorded. That is why a Guru report will sometimes tell you its own estimate was pulled back, or that a figure was recalculated: you are watching the guard rails work rather than being shown a tidier story.

Guru marks its own homework

Every estimate is written to a ledger together with the exact shape of the evidence behind it. When the property later sells, is relisted or is withdrawn, that outcome is scored against the prediction: how far off, in which direction, and whether the real price landed inside the published range. Those scores are what set future confidence ranges, so that in time the band on your report is drawn from where prices actually landed for estimates built on evidence like yours rather than from an assumption nobody ever checked.

Being precise about where that stands today, because it matters: a category of evidence needs at least 30 scored outcomes before it is allowed to set anything, and until it has them your range comes from a deliberately conservative default. The ledger is recording from day one; the measurement it produces arrives with volume. It is also only ever allowed to widen a range, never to narrow one. See how we keep score, and how accurate it actually is.

A report is a moment. Ownership is not.

Every property you track is re-valued each month from the price movement our own pool has observed in its area, and where an area is still too thin to measure we apply a conservative default rate rather than invent a move. When the number shifts enough to matter Guru emails you instead of waiting for you to log in. It costs no credits, because there is no AI in it: it is the same deterministic engine run again on fresher data.

Re-running a report works the same way round. Guru does not just hand you the same document again: it analyses the property from scratch and then diffs the result against your previous run, naming what moved and labelling the new estimate as consistent with the last one, a justified change, or pulled back to stay consistent. A second run buys you a change log, not a repeat.

Free tier, credits & plans

• Registered users get 1 free teaser scan per day, no card needed.
• Paid actions run on credits: a full scan costs 20 credits and a full home value estimate 25. Plan credits refresh every monthly cycle; top-up credits never expire.
• Starter includes 100 credits a month.
• Guru includes 250 credits a month.
• Portfolio includes 750 credits a month.
• Starter includes 100 credits a month.
• Guru includes 250 credits a month.
• Portfolio includes 750 credits a month.

Full details on Pricing. No account needed for our free bond & property calculators, which use live SA prime and repo rates.