Useful Prompts for UK Property Valuation & Land Uplift Appraisal — 50-Prompt AI Library
AI Prompt Library & Data Source Directory

Useful Prompts for UK Property Valuation & & Land Uplift Appraisal

AI Prompt Library & Data Source Directory — 50-Prompt Edition — 50 structured prompts across ten appraisal categories, converted directly from the uploaded reference document.

Start with A1
How to use: Paste your actual gathered data into each prompt. The source document explicitly frames these prompts as tools to analyse, adjust and reconcile evidence you provide — not to manufacture valuation figures from the model's own knowledge.
Decision-use warning: The source document treats AI output as a screening/appraisal aid. Legal matters should be confirmed professionally, and acquisition/pricing decisions should be supported by actual comparable, planning, title, cost and other evidence.
Recommended sequencing

Use the prompts in the source document's intended order

Valuation-only

E1 → E2 → E3 → E4 → F1 → F2 → J1 → J4 → J5

Development / land uplift

A1 → A2 → A3 → B1 → B2 → B3/B4 → C1 → C2 → C3 → C4 → C5 → D1 → D2 → E1 → G1 → G2 → I1 → I3 → I4 → G3 → G4 → H1 → H3 → J1 → J2 → J3 → G5 → J5

Auction lot

A4 → A1 → C1 → E1 → I2 → J1 → J5
Category A

Title, Legal & Ownership Due Diligence

5 prompts
A1

Title & Ownership Verification

A
Context of use: First prompt on any new site or property, whether sourced at auction, via agent, or off-market.
AI Prompt
Analyse this title register and title plan. Confirm registered owner(s), title number, tenure (freehold/leasehold), registered extent, and cross-reference against the address and boundary shown on public mapping. Flag any discrepancy between the title plan and the physical site, and note that the title plan is a general boundary, not a precise survey.
Dataset required (4)
  • Title register (downloaded PDF)
  • Title plan
  • Property address / postcode
  • OS or aerial mapping for cross-check
Data sources / websites (2)
  • HM Land Registry — Search the Register (https://gov.uk/search-property-information-land-registryOpen ↗)
  • HM Land Registry — Find a Property
Your action before running (2)
  • Order the title register and title plan from HM Land Registry (£3 each) before running this prompt
  • Save as PDF and upload alongside the prompt
A2

Boundary & Rights of Way Check

A
Context of use: Use whenever access, shared driveways, or ambiguous boundaries appear on the title plan — common on older properties and part-garden plots.
AI Prompt
Review this title plan and any referenced boundary/rights-of-way documents. Identify all rights of way, shared access, easements benefiting or burdening the site, and any boundary features (fences, walls, hedges) that may not match the registered boundary. Explain what further evidence (boundary agreement, deed plan) would resolve any ambiguity.
Dataset required (3)
  • Title plan
  • Any boundary agreements or deed plans
  • Aerial/street-level imagery
Data sources / websites (3)
  • HM Land Registry title plan
  • Google Street View / aerial imagery
  • OS MasterMap (for precise boundary reference, paid)
Your action before running (2)
  • Walk the site and photograph physical boundary features before running this prompt
  • Note any visible discrepancy from the title plan
A3

Covenants & Restrictions Review

A
Context of use: Run whenever the title register lists restrictive covenants, charges, or notices — especially relevant to development or change-of-use plans.
AI Prompt
Review these restrictive covenants, charges, and notices listed on the title register. Explain, in plain terms, what each one restricts or requires. Assess whether any covenant would conflict with the intended use or development, and identify what indemnity insurance or deed of variation might be needed.
Dataset required (3)
  • Title register — charges register section
  • Any referenced conveyance/transfer documents
  • Description of intended use or development
Data sources / websites (2)
  • HM Land Registry title register
  • Local solicitor / conveyancer for formal opinion
Your action before running (2)
  • Order any referenced historic conveyance documents if the covenant text isn't on the register itself
  • Get formal legal confirmation before relying on this for a purchase decision — treat the AI output as a screening step, not a legal opinion
A4

Legal Pack / Auction Pack Red-Flag Scan

A
Context of use: Standard first step on every auction lot before bidding — you already use this pattern for Auction House London, Allsop, Bond Wolfe, and Clive Emson lots.
AI Prompt
Review this auction legal pack. Flag anything that could affect value, mortgageability, or completion risk: short leasehold terms, unusual special conditions, missing local authority/water/environmental searches, tenancy details, arrears, deposit and completion timeframes, and any special conditions of sale that shift additional cost or risk to the buyer.
Dataset required (2)
  • Full legal pack (special conditions, title, searches, leases if applicable)
  • Auction house terms and buyer's premium schedule
Data sources / websites (2)
  • Auction house legal pack portal (Auction House London, Allsop, Bond Wolfe, Clive Emson)
  • EIG (Essential Information Group) auction database
Your action before running (2)
  • Download the full legal pack before the auction — not just the catalogue entry
  • Confirm search dates aren't stale (searches over 3–6 months old may need refreshing)
A5

Ransom Strip & Third-Party Access Risk

A
Context of use: Use on development sites or plots where the only access crosses land you don't own, or where a small adjoining plot could block a scheme.
AI Prompt
Assess this site for ransom-strip risk. Identify whether access, services, or visibility splays depend on land in third-party ownership, whether any adjoining owner could reasonably demand a ransom payment to unlock development, and what alternative access or negotiated solutions exist.
Dataset required (3)
  • Title plan showing access route
  • Adjoining land ownership (title register for neighbouring plots)
  • Site layout/access plan
Data sources / websites (2)
  • HM Land Registry (neighbouring title registers)
  • Local authority highways department (for adoption status of access roads)
Your action before running (2)
  • Order title registers for adjoining plots along the access route
  • Check with the council whether the access road is adopted (publicly maintained) or private
Category B

Planning Policy & Permission Probability

5 prompts
B1

Local Plan & Allocation Status Check

B
Context of use: First planning prompt on any site being assessed for development or uplift potential.
AI Prompt
Using this Local Plan extract and Policies Map reference, determine the site's planning designation: within/outside settlement boundary, Green Belt/Grey Belt, allocated site, employment land, or countryside. Identify every policy that would apply to a development proposal on this site and summarise what each requires.
Dataset required (3)
  • Local Plan document (adopted and emerging, if different)
  • Policies Map extract for the site
  • Site address/coordinates
Data sources / websites (3)
  • Local authority planning policy pages
  • planning.data.gov.uk (national planning data platform)
  • GOV.UK — National Planning Policy Framework
Your action before running (2)
  • Identify the correct local planning authority for the site
  • Download the current adopted Local Plan and check for an emerging plan that may carry weight
B2

Planning Probability Scoring

B
Context of use: The core land-uplift prompt — run for every realistic development scenario before calculating residual land value.
AI Prompt
Assess the realistic planning potential of this site under current development plan and national policy. Identify supporting and opposing policy considerations, relevant planning history, and comparable local decisions. Give a planning probability score of 0–100% for each development scenario supplied, and explain what evidence would most improve the odds.
Dataset required (4)
  • Local Plan policies
  • Site planning history
  • Nearby approvals/refusals
  • Development scenario descriptions (from Prompt D1)
Data sources / websites (3)
  • Local authority planning portal (application search)
  • planning.data.gov.uk
  • GOV.UK NPPF and Planning Practice Guidance
Your action before running (2)
  • Search the council planning portal for the site's own application history
  • Pull 10–20 nearby decisions of a similar type (see B4) to ground the score in local precedent, not general policy
B3

Green Belt / Grey Belt Assessment

B
Context of use: Use specifically where a site sits within or adjacent to Green Belt — increasingly relevant given current NPPF grey-belt provisions.
AI Prompt
Assess whether this site could qualify as 'grey belt' or previously developed land under the current NPPF definition, or whether it would be treated as conventional Green Belt requiring 'very special circumstances'. Identify the specific NPPF paragraphs and local Green Belt review evidence that would apply.
Dataset required (3)
  • Site designation confirmation (from B1)
  • Local Green Belt Review / boundary study if published
  • Current NPPF text
Data sources / websites (3)
  • GOV.UK — NPPF (Protecting Green Belt land)
  • Local authority Green Belt Review documents
  • planning.data.gov.uk Green Belt layer
Your action before running (2)
  • Check whether the council has published a Green Belt Review or grey-belt assessment methodology
  • Note the site's exact NPPF category before running — this changes the applicable test entirely
B4

Planning Precedent Analysis

B
Context of use: Run alongside B2 — policy alone under-predicts real committee behaviour, so local precedent is essential.
AI Prompt
Analyse these planning applications and decisions within approximately 1–3 miles of the site, prioritising similar site characteristics, designation, unit numbers, and access. Identify which planning arguments have historically succeeded or failed with this authority, and any recurring reasons for refusal or conditions of approval.
Dataset required (2)
  • 20–50 nearby planning applications with decision notices and, where available, officer reports
  • Appeal decisions if any
Data sources / websites (3)
  • Local authority planning portal application search
  • Planning Inspectorate — appeal decisions database
  • planning.data.gov.uk
Your action before running (1)
  • Export a batch of nearby applications (address, description, decision, date, conditions) from the council portal into a simple spreadsheet before running this prompt
B5

Permitted Development Rights Check

B
Context of use: Use for extensions, conversions, or change-of-use scenarios (e.g., commercial-to-residential) before assuming full planning permission is required.
AI Prompt
Assess whether this scheme could proceed under permitted development rights rather than full planning permission, referencing the relevant Use Class and General Permitted Development Order provisions. Identify any Article 4 direction that could remove permitted development rights for this site, and note prior approval requirements that still apply.
Dataset required (3)
  • Current use class of the property
  • Proposed use/conversion
  • Article 4 direction map for the local authority
Data sources / websites (3)
  • GOV.UK — Permitted development rights guidance
  • Local authority Article 4 direction pages
  • planning.data.gov.uk
Your action before running (1)
  • Check the council's Article 4 map for the specific postcode before assuming PD rights apply — many town centres and HMO hotspots have removed them
Category C

Site Constraints & Environmental Risk

5 prompts
C1

Flood Risk Assessment

C
Context of use: Run on every site, but especially those near watercourses or in known flood-affected local authority areas (much of Bedfordshire's river corridors, for example).
AI Prompt
Using this Flood Map for Planning output for the site, identify the Flood Zone classification, surface water risk, and whether a site-specific Flood Risk Assessment would be required to support a planning application. Explain the practical implications for insurability and mortgageability.
Dataset required (2)
  • Flood Zone classification for the site
  • Surface water flood risk layer
Data sources / websites (2)
  • Environment Agency — Flood Map for Planning (flood-map-for-planning.service.gov.uk)
  • GOV.UK — check long-term flood risk
Your action before running (1)
  • Run the site address through the Flood Map for Planning tool and export/screenshot the result before running this prompt
C2

Ecology & Biodiversity Net Gain Screening

C
Context of use: Use on any greenfield or garden-land site, or where mature trees/hedgerows are present — BNG requirements now apply to most new developments.
AI Prompt
Screen this site for ecological constraints: proximity to SSSI, SAC, SPA, Ramsar sites, ancient woodland, or protected species habitat. Assess what Biodiversity Net Gain obligations (10% minimum uplift) are likely to apply and estimate the scale of on-site or off-site BNG provision this scheme would need to deliver.
Dataset required (3)
  • Site boundary/coordinates
  • Existing habitat description (grassland, trees, hedgerows, buildings)
  • Nearby designated sites
Data sources / websites (2)
  • Natural England — MAGIC Map (magic.defra.gov.uk)
  • GOV.UK — Biodiversity Net Gain guidance
Your action before running (2)
  • Check the MAGIC map for designated sites within and around the site boundary
  • Note any mature trees — these may carry individual or blanket Tree Preservation Orders
C3

Heritage & Conservation Area Check

C
Context of use: Run for any site within or near a conservation area, or containing/adjoining a listed building.
AI Prompt
Assess this site's heritage constraints: listed building status (grade), conservation area boundary, registered parks and gardens, and scheduled monuments nearby. Explain how each designation would affect the design, materials, and approval process for the proposed scheme.
Dataset required (3)
  • Site address/coordinates
  • Listed building descriptions if applicable
  • Conservation area appraisal document if published
Data sources / websites (2)
  • Historic England — Map Search (https://historicengland.org.uk/listing/the-list/map-searchOpen ↗)
  • Local authority conservation area appraisals
Your action before running (1)
  • Search Historic England's list for the site and immediate surroundings before running this prompt
C4

Ground Conditions & Contamination Screening

C
Context of use: Essential on former commercial, industrial, or agricultural sites, and anywhere with a history of mining or made ground.
AI Prompt
Based on the site's historic use and location, screen for likely ground condition risks: contamination, mining legacy, made ground, and unstable ground. Identify what site investigation (Phase 1 desk study, Phase 2 intrusive) would typically be required before a lender or planning authority would proceed.
Dataset required (3)
  • Historic land use (from old OS maps / Land Registry history)
  • Coal Authority mining report if in a coalfield area
  • Any existing environmental search results
Data sources / websites (3)
  • Coal Authority — Interactive Map (mining reports)
  • Historic OS mapping (National Library of Scotland archive, or Landmark/Groundsure for a paid report)
  • Environment Agency — contaminated land data
Your action before running (2)
  • Order a Coal Authority mining report if the site is in a known coalfield area
  • Consider a Groundsure or Landmark environmental search for anything with a non-residential history
C5

Utilities & Infrastructure Capacity Check

C
Context of use: Use on any site of meaningful scale (multiple units) where utility capacity could be a viability constraint or cost.
AI Prompt
Assess likely utility and infrastructure capacity constraints for this scheme: water, foul/surface drainage, electricity capacity, and highways access. Identify what statutory undertaker enquiries would be needed and flag any known local capacity issues (e.g., water company drainage constraints) that could add cost or delay.
Dataset required (2)
  • Site location and scheme size (unit numbers)
  • Nearest utility connection points if known
Data sources / websites (3)
  • Local water company's drainage and water capacity map (e.g., Anglian Water, Thames Water asset location search)
  • DNO (electricity distributor) capacity maps
  • Local highways authority
Your action before running (1)
  • Submit a pre-application enquiry (or 'plot search') to the relevant water company and DNO for larger schemes — free or low-cost and often reveals capacity issues early
Category D

Development Capacity & Scheme Design

5 prompts
D1

Realistic Development Capacity (3 Scenarios)

D
Context of use: Run once B1–B4 are complete. Always produce conservative/base/maximum scenarios rather than a single figure.
AI Prompt
Determine the realistic development capacity of this site. Produce three scenarios — conservative, base case, and maximum credible — estimating unit numbers, housing mix, density, and parking for each. Prioritise what the local planning authority is realistically likely to support over theoretical maximum density, and flag which assumptions need architect/planning validation.
Dataset required (4)
  • Site area
  • Local density and design policies
  • Access constraints
  • Comparable local developments (unit numbers/density)
Data sources / websites (3)
  • Local Plan design policies
  • Local authority parking and open-space SPDs
  • Nearby completed schemes (planning portal + Rightmove new-build listings)
Your action before running (1)
  • Measure the developable area (gross site area minus unbuildable/constrained land) before running this prompt
D2

Unit Mix & Density Optimisation

D
Context of use: Use once a base-case unit number exists, to test whether the mix (studio/1-bed/2-bed/house) maximises GDV rather than just unit count.
AI Prompt
Given this site capacity and these local market comparables, test different unit mix scenarios (e.g., weighted toward 1-beds vs family houses) and estimate the resulting GDV for each. Identify the mix that maximises value while remaining consistent with local policy and market absorption capacity.
Dataset required (3)
  • Base-case unit capacity (from D1)
  • Local comparable sales by unit type (from E1)
  • Local Plan housing mix policy if specified
Data sources / websites (2)
  • Rightmove/Zoopla comparables by bedroom count
  • Local Plan housing mix policy
Your action before running (1)
  • Gather at least 5 comparables per unit type you're testing (studio, 1-bed, 2-bed, house) before running this
D3

Parking & Open Space Standards Check

D
Context of use: Run before finalising a scheme layout — parking shortfalls are a common reason for refusal or delay.
AI Prompt
Assess this scheme against the local authority's parking and open space standards. Calculate the parking provision required for the proposed unit mix, identify whether any parking reduction could be justified (accessibility, car club, PTAL-equivalent), and calculate the open space/amenity space obligation.
Dataset required (3)
  • Proposed unit mix and numbers
  • Local parking standards SPD
  • Open space/amenity space policy
Data sources / websites (2)
  • Local authority parking standards SPD
  • Local authority open space/amenity SPD
Your action before running (1)
  • Download the council's current parking standards SPD — these vary significantly by authority and are often missed in early appraisals
D4

Affordable Housing Threshold Assessment

D
Context of use: Run on any residential scheme above the local authority's affordable housing threshold (commonly 10–11 units, but varies).
AI Prompt
Determine whether this scheme triggers an affordable housing requirement under local policy, and if so, calculate the likely on-site provision (units) or commuted sum payment. Identify whether a viability assessment could justify a reduced contribution, and what evidence that would require.
Dataset required (3)
  • Proposed unit numbers
  • Local affordable housing policy and thresholds
  • Tenure split policy (social rent/affordable rent/shared ownership)
Data sources / websites (2)
  • Local Plan affordable housing policy
  • GOV.UK — Viability guidance
Your action before running (1)
  • Confirm the current threshold and tenure split policy for the specific local authority — these change between Local Plan reviews
D5

Highest & Best Use Analysis

D
Context of use: Use on existing buildings/sites where multiple strategies are plausible (refurbish, extend, convert, redevelop) — prevents anchoring on the first idea.
AI Prompt
Compare the existing use of this property with realistic alternative uses: refurbishment, extension, conversion, subdivision, HMO, or redevelopment. For each, estimate indicative value, cost, planning risk, timescale, and return. Identify the financially and physically optimal use rather than the theoretical maximum-density option.
Dataset required (4)
  • Existing property details and value
  • Site/floor area
  • Local planning precedent for each alternative use
  • Indicative costs per option
Data sources / websites (2)
  • Local authority planning portal (precedent for conversions/HMO consent)
  • Rightmove/Zoopla for comparable values by use type
Your action before running (1)
  • List every use you genuinely want tested — the model will only compare the options you supply, so be deliberate about the shortlist
Category E

Comparable Sales & Market Valuation

5 prompts
E1

Comparable Market Valuation

E
Context of use: The default first valuation prompt for any property or unit type — run this before residual or DCF work.
AI Prompt
Act as a RICS-style valuer. Determine current Market Value using comparable evidence. Rank comparables by relevance (location, size, condition, age, tenure, transaction date), calculate £/sq ft and £/unit metrics, adjust for differences, reject weak or anomalous comparables, and produce low, central, and high Market Value estimates. Distinguish sold prices from asking prices and explain the weighting applied.
Dataset required (2)
  • 10–30 comparable transactions: address, price, date, type, floor area, bedrooms, tenure, condition
  • Subject property details
Data sources / websites (3)
  • HM Land Registry — Price Paid Data (https://gov.uk/government/statistical-data-sets/price-paid-data-downloadsOpen ↗)
  • Rightmove / Zoopla sold prices
  • OnTheMarket
Your action before running (1)
  • Download the relevant Price Paid Data CSV for the postcode area and filter to the last 12–18 months before running this prompt
E2

Comparable Evidence Quality Audit

E
Context of use: Run immediately after E1 wherever the comparable set includes auction sales, bulk purchases, or new-build incentivised prices.
AI Prompt
Audit these comparables as a professional valuer. Score each 0–100 for location, size, condition, age, tenure, and market similarity. Identify anomalies — distressed sales, auction sales, developer incentives, bulk/portfolio purchases — and explain why each comparable should or shouldn't influence the valuation. Recalculate a weighted valuation from only the strongest evidence.
Dataset required (1)
  • The comparable set from E1, with any known transaction context (auction, incentive, portfolio)
Data sources / websites (2)
  • RICS — Comparable Evidence in Real Estate Valuation standard
  • HM Land Registry Price Paid Data (transaction category field)
Your action before running (1)
  • Note transaction type against each comparable (open market / auction / new-build) before running this — the model can't infer this reliably from price alone
E3

£/sq ft Benchmarking

E
Context of use: Particularly valuable for flats, new-build blocks, and multi-unit schemes where a single figure per unit isn't precise enough.
AI Prompt
Calculate appropriate £/sq ft and £/m² market benchmarks using this comparable evidence, segmented by property type, size, age, and condition. Identify whether larger units show a size discount, and apply an adjusted benchmark to the subject property to produce a valuation range.
Dataset required (2)
  • Comparable set with confirmed floor areas (GIA)
  • Subject property GIA
Data sources / websites (2)
  • HM Land Registry Price Paid Data (cross-referenced with EPC floor area where GIA isn't published)
  • EPC Register (epc.opendatacommunities.org)
Your action before running (1)
  • Cross-check comparable floor areas against the EPC register where the agent listing doesn't state GIA — asking-price listings often omit it
E4

Time / Market Movement Adjustment

E
Context of use: Use whenever your best comparables are more than 6–9 months old — needed to avoid under- or over-valuing against a moving market.
AI Prompt
Using this regional House Price Index data, calculate the appropriate time adjustment to apply to each comparable transaction to bring it to a current-date equivalent value. Show the adjustment applied to each comparable and the resulting revised valuation range.
Dataset required (2)
  • UK House Price Index data for the relevant region/property type
  • Comparable transaction dates and prices
Data sources / websites (1)
  • GOV.UK — UK House Price Index (https://gov.uk/government/publications/about-the-uk-house-price-indexOpen ↗)
Your action before running (1)
  • Pull the latest regional/local authority HPI figures before running this — indices are usually a few months in arrears, so check the reporting date
E5

New-Build Premium Analysis

E
Context of use: Use when appraising a new-build development's GDV, to avoid overstating value by comparing only against other new-build asking prices.
AI Prompt
Compare new-build sold prices against resale comparables of similar size, type, and location in this area. Quantify the typical new-build premium (or discount) being achieved, and assess whether that premium is likely to persist given local supply of competing new-build schemes.
Dataset required (3)
  • New-build sold prices (Price Paid Data flags new-build transactions)
  • Comparable resale prices
  • Pipeline of competing new-build schemes in the area
Data sources / websites (2)
  • HM Land Registry Price Paid Data (new-build flag field)
  • Local planning portal (for competing pipeline schemes)
Your action before running (1)
  • Filter Price Paid Data by the 'new build' indicator to isolate new-build transactions before running this prompt
Category F

Rental & Investment / Income Valuation

5 prompts
F1

Market Rent Assessment

F
Context of use: Run before any yield calculation — don't rely on current passing rent, which is often below true market rent.
AI Prompt
Determine the sustainable market rent for this property using comparable current lettings and recently let evidence, adjusting for size, condition, furnishing, parking, and EPC rating. Distinguish asking rents from achieved/let rents where possible and produce conservative, central, and optimistic rental estimates.
Dataset required (2)
  • Comparable current and recently-let properties: rent, size, bedrooms, condition, furnishing
  • Subject property details
Data sources / websites (2)
  • Rightmove / Zoopla 'to let' listings
  • ONS — Private Rental Market Statistics
Your action before running (1)
  • Collect at least 8–10 comparable lettings, noting listing date and whether the property is still advertised (a sign it may be overpriced) before running this
F2

Investment / Yield Valuation

F
Context of use: Standard prompt for any income-producing acquisition — BTL, HMO block, or commercial unit.
AI Prompt
Value this property using the investment method. Establish market rent, operating costs, void allowance, and management/maintenance costs. Identify appropriate market yields from comparable investment transactions, then calculate gross yield, net yield, and capital value via yield capitalisation, with a sensitivity range across a plausible yield spread.
Dataset required (3)
  • Market rent (from F1)
  • Operating cost assumptions
  • Comparable investment transaction yields
Data sources / websites (2)
  • Local commercial agent yield reports (CoStar/EGi if subscribed)
  • RICS — Valuation approaches and methods guidance
Your action before running (1)
  • Confirm a realistic yield benchmark for the specific asset type and location — generic 'BTL yield' figures online are usually too broad to be reliable
F3

HMO vs Single-Let Comparison

F
Context of use: Use whenever a property's layout could support either strategy, to quantify whether the extra management burden of HMO is worth it.
AI Prompt
Compare single-let and HMO strategies for this property. Confirm whether the local authority requires HMO licensing or is subject to an Article 4 direction restricting HMO use. Model gross and net income, licensing/compliance costs, and management overhead for each strategy, and identify the higher-return option after accounting for additional risk.
Dataset required (4)
  • Room count and layout
  • Local HMO licensing requirements and fees
  • Article 4 direction status
  • Per-room rental comparables
Data sources / websites (2)
  • Local authority HMO licensing register/policy pages
  • Rightmove room-let listings (SpareRoom for per-room comparables)
Your action before running (1)
  • Check the council's HMO licensing scheme (mandatory/additional/selective) and confirm whether Article 4 restricts new HMOs at this address
F4

Void & Management Cost Modelling

F
Context of use: Run to sanity-check an over-optimistic yield calculation that assumes 100% occupancy and no management cost.
AI Prompt
Model realistic void periods, letting agent/management fees, maintenance reserve, and insurance costs for this property type and location, and recalculate net yield after these deductions. Compare against the headline gross yield to show the true return.
Dataset required (3)
  • Local average void periods for the property type
  • Local letting/management agent fee scales
  • Maintenance and insurance cost assumptions
Data sources / websites (2)
  • Local letting agents' published fee scales
  • ONS / industry void-rate data where available
Your action before running (1)
  • Get 2–3 local letting agents' actual fee schedules rather than assuming a generic percentage
F5

Rent Review & Lease Analysis (Commercial)

F
Context of use: Use for any commercial property with an existing lease, to understand income security before valuing on an investment basis.
AI Prompt
Analyse this commercial lease: term, break clauses, rent review mechanism (open market/RPI/fixed uplift), tenant covenant strength if known, and any repairing or service charge obligations. Assess income security and how the lease structure should affect the yield applied in valuation.
Dataset required (2)
  • Lease document or heads of terms
  • Tenant details (if known, for covenant assessment)
Data sources / websites (2)
  • Companies House (for tenant covenant/financial standing where tenant is a company)
  • RICS guidance on investment valuation
Your action before running (1)
  • Obtain the full lease (not just a summary) — break clauses and review mechanisms materially change value and are often glossed over in marketing particulars
Category G

Residual Land Value & Development Appraisal

5 prompts
G1

GDV Build-Up from Unit Schedule

G
Context of use: Run once a unit schedule exists (from D1/D2) and comparable evidence is gathered (E1/E3).
AI Prompt
Build a Gross Development Value from this unit schedule, applying the comparable £/sq ft and £/unit benchmarks to each unit type. Show the calculation per unit and the total GDV, with low/central/high scenarios reflecting the comparable evidence range.
Dataset required (3)
  • Unit schedule (type, size, count) from D1/D2
  • £/sq ft benchmarks from E3
  • Comparable valuations from E1
Data sources / websites (1)
  • Outputs of E1/E3 (no new external source — this consolidates prior prompts)
Your action before running (1)
  • Confirm the unit schedule and benchmarks are current before running — this prompt is only a calculation step on inputs you've already gathered
G2

Existing Use Value (EUV) Calculation

G
Context of use: Run before residual value, to establish the true land-uplift baseline rather than jumping straight to 'value with planning'.
AI Prompt
Estimate the site's existing-use value without assuming any development permission. Analyse alternative existing uses, current income/rental value, and comparable land or property transactions in the current use category. Produce a defensible EUV range, explicitly excluding any speculative development value.
Dataset required (3)
  • Current use and condition of the site
  • Comparable land/property transactions in the same existing use category
  • Current rental income if any
Data sources / websites (2)
  • HM Land Registry Price Paid Data (agricultural/commercial land comparables)
  • RICS — Viability guidance (EUV plus landowner premium benchmark)
Your action before running (1)
  • Source at least 3–5 comparable transactions in the genuine existing use (e.g., agricultural land, not residential) — mixing use categories here invalidates the EUV
G3

Full Residual Land Value Appraisal

G
Context of use: The central land-uplift prompt — the output that everything else in this library feeds into.
AI Prompt
Calculate the residual land value for each development scenario. Start from GDV and deduct construction costs, professional fees, planning costs, finance, abnormal costs, infrastructure, CIL/S106, affordable housing costs, marketing, sales/legal costs, contingency, and developer profit. Show the calculation transparently and produce gross and net (after acquisition costs) residual land value.
Dataset required (5)
  • GDV (from G1)
  • Build costs (from I1)
  • Professional fees, CIL/S106 (from I3/I4)
  • Finance assumptions (from H3)
  • Target developer profit margin
Data sources / websites (1)
  • Outputs of prior prompts — this is a consolidation calculation, no new external source required
Your action before running (1)
  • Have all upstream cost and GDV figures finalised before running this — residual value is highly sensitive to each input, so garbage in produces a misleading land price
G4

Planning Uplift Quantification

G
Context of use: Run to make the uplift explicit and defensible when negotiating with a landowner or presenting an investor case.
AI Prompt
Quantify the value uplift created by planning: (1) existing-use value, (2) current market/hope value without consent, (3) residual development value with consent, (4) maximum rational acquisition price. State the absolute £ and percentage uplift between each stage, and how much of the uplift must be retained to cover planning risk, professional costs, and required developer return.
Dataset required (3)
  • EUV (from G2)
  • Residual development value (from G3)
  • Planning probability score (from B2)
Data sources / websites (1)
  • Outputs of prior prompts — no new external source required
Your action before running (1)
  • Decide, before running, what minimum margin you need to retain for planning risk — this is a judgement call the model should apply as a stated assumption, not invent
G5

Maximum Acquisition Price / Negotiation Ceiling

G
Context of use: The output you take into a negotiation or auction bid — always run last in the G sequence.
AI Prompt
Using the probability-weighted residual land value and required developer return, calculate the maximum acquisition price, a recommended target offer price, and a walk-away price. Explain the gap between each and what would justify moving toward the ceiling.
Dataset required (3)
  • Probability-weighted residual value (from J3)
  • Target return on capital
  • Acquisition costs (SDLT, legal, survey)
Data sources / websites (1)
  • No new external source — consolidation of prior prompts
Your action before running (1)
  • Set your minimum acceptable return before running this, so the output reflects your actual investment criteria rather than a generic assumption
Category H

DCF, Finance & Investment Return

5 prompts
H1

Month-by-Month DCF Model

H
Context of use: Run for any scheme with a construction or hold period longer than a few months, where finance cost timing matters.
AI Prompt
Build a month-by-month discounted cash-flow appraisal for this development/investment. Model acquisition, construction, professional costs, finance drawdown, operating income, sales receipts, and exit proceeds over the full project timeline. Calculate NPV, IRR, equity multiple, and peak cash requirement.
Dataset required (4)
  • Full cost schedule with timing (from I1–I4)
  • Construction and sales programme
  • Finance drawdown profile and interest rate
  • Discount rate assumption
Data sources / websites (1)
  • No new external source — programme and cost data drawn from prior prompts plus your own project schedule
Your action before running (1)
  • Prepare a realistic month-by-month programme (design, planning, construction, sales periods) before running this — the model can't invent a credible programme without it
H2

IRR / NPV / Equity Multiple Calculation

H
Context of use: Use to compare two or more deals on a like-for-like return basis, not just headline profit.
AI Prompt
From this cash flow, calculate IRR, NPV at [your target discount rate], and equity multiple. Compare against a second scenario if supplied, and explain which deal offers the better risk-adjusted return given differing durations and equity requirements.
Dataset required (2)
  • Cash flow output from H1
  • Target discount rate / cost of capital
Data sources / websites (1)
  • No new external source
Your action before running (1)
  • Decide your target discount rate/hurdle rate in advance — this is a business decision, not something to let the model default
H3

Development Finance Structuring (LTC/LTV)

H
Context of use: Run once a residual land value and build cost are known, to check the deal is actually financeable.
AI Prompt
Assess likely development finance terms for this scheme: loan-to-cost and loan-to-value ratios, typical arrangement and exit fees, and interest rate range for a project of this size and risk profile. Identify the equity contribution required and whether the deal meets typical lender criteria.
Dataset required (4)
  • Total project cost
  • GDV
  • Land value
  • Borrower/developer track record (affects lender appetite)
Data sources / websites (2)
  • Development finance broker indicative terms (not publicly listed — requires a direct enquiry)
  • Bridging/development finance comparison sites for indicative rate ranges
Your action before running (1)
  • Get at least one indicative terms sheet from a development finance broker or lender to validate the model's assumed rates — these move with the base rate and lender risk appetite
H4

Cash Flow / Peak Funding Requirement

H
Context of use: Use to plan your own equity and drawdown needs before committing to a purchase.
AI Prompt
From this month-by-month cash flow, identify the peak funding requirement (maximum cumulative cash outlay before positive receipts), the month it occurs, and the total equity required assuming the modelled debt facility. Flag any month where cash flow is tightest relative to available facility.
Dataset required (2)
  • Month-by-month cash flow (from H1)
  • Agreed or assumed debt facility and drawdown terms
Data sources / websites (1)
  • No new external source
Your action before running (1)
  • Confirm your actual available equity before running this, so the output tells you whether the deal is fundable, not just theoretically viable
H5

Exit Strategy Comparison (Sell vs Hold vs Refinance)

H
Context of use: Run once a scheme is complete or nearing completion, to decide the exit route.
AI Prompt
Compare three exit strategies for this completed scheme: (A) sell all units on completion, (B) let and hold long-term, (C) refinance and hold. Model the resulting IRR, cash released, and ongoing income for each, and recommend the strategy that best matches the stated investment objective.
Dataset required (3)
  • Completed scheme GDV / rental value
  • Refinance terms (LTV, rate) if considering option C
  • Investment objective (income vs capital growth vs recycling capital)
Data sources / websites (2)
  • Lender refinance rate indications
  • Rental comparables (from F1) for hold scenarios
Your action before running (1)
  • State your actual objective (recycle capital quickly vs build income) before running — this determines which exit the model should be weighting toward
Category I

Cost Planning & Build Appraisal

5 prompts
I1

Build Cost Benchmarking

I
Context of use: Run for every development appraisal — never accept a single £/sq ft build cost figure without benchmarking.
AI Prompt
Estimate build cost per m² for this scheme type, quality specification, and region, referencing current cost indices. Break down the estimate into substructure, superstructure, external works, and M&E, and flag any elements likely to carry abnormal costs given the site conditions established earlier.
Dataset required (3)
  • Scheme type, unit mix, and specification level
  • Regional location
  • Ground condition findings (from C4)
Data sources / websites (2)
  • BCIS — Building Cost Information Service (bcis.co.uk, subscription)
  • RICS cost guidance publications
Your action before running (1)
  • A BCIS subscription is the single highest-value paid tool for this category — without it, cross-check any AI-generated cost figure against at least two independent quotes
I2

Refurbishment Cost Estimation from Description/Photos

I
Context of use: Use for auction or off-market properties needing renovation, where a full schedule of works isn't yet available.
AI Prompt
From this property description and condition notes, estimate a refurbishment scope and cost range to bring the property to lettable/sellable standard. Break the estimate into kitchen, bathroom, decoration, flooring, electrics, heating, and structural/roof items, with a contingency allowance appropriate to the property's age and condition.
Dataset required (2)
  • Property description, age, and condition notes
  • Photos or surveyor's description if available
Data sources / websites (1)
  • No single authoritative site — cross-check against local builder quotes
Your action before running (1)
  • Get at least one local builder or quantity surveyor walk-through quote before relying on this for an offer decision — AI cost estimates from a description alone carry wide error margins
I3

Professional Fees & Abnormal Costs Schedule

I
Context of use: Run once a scheme scale is known, to avoid the common mistake of applying a flat 10% fee assumption regardless of project complexity.
AI Prompt
Build a professional fees and abnormal costs schedule for this scheme: architect, planning consultant, structural engineer, QS, project manager, and any specialist reports (ecology, flood, heritage, ground investigation) triggered by the constraints already identified. Express each as a £ figure and % of build cost.
Dataset required (2)
  • Scheme scale and complexity
  • Constraint findings from Category C (which specialist reports are needed)
Data sources / websites (2)
  • RICS fee scale guidance (indicative only)
  • Direct quotes from consultants for larger schemes
Your action before running (1)
  • For any scheme above a handful of units, get at least indicative fee quotes from an architect and planning consultant rather than relying on a generic percentage
I4

CIL / S106 / BNG Cost Estimation

I
Context of use: Run once unit numbers and use class are set — these charges are often underestimated in early-stage appraisals.
AI Prompt
Calculate the likely Community Infrastructure Levy liability for this scheme using the local authority's current CIL charging schedule, estimate any S106 contributions typically sought in this authority for schemes of this type, and estimate Biodiversity Net Gain delivery cost based on the BNG assessment in Prompt C2.
Dataset required (4)
  • Local authority CIL charging schedule
  • Scheme floorspace and use class
  • S106 policy/precedent for the authority
  • BNG requirement from C2
Data sources / websites (2)
  • Local authority CIL charging schedule (published on planning policy pages)
  • Local authority S106 policy and recent agreements
Your action before running (1)
  • Download the current CIL charging schedule for the specific authority — rates vary significantly between and even within authorities by zone
I5

Contingency & Risk Allowance Setting

I
Context of use: Run as the final cost-planning step, to set a contingency that reflects the specific risks identified earlier rather than a flat percentage.
AI Prompt
Given the site constraints, ground conditions, and planning risks identified in this appraisal, recommend an appropriate contingency percentage and £ allowance, distinguishing between design contingency and risk contingency. Explain which specific identified risks justify a higher-than-standard allowance.
Dataset required (3)
  • Findings from Category C (site constraints)
  • Findings from B2 (planning probability)
  • Build cost estimate (from I1)
Data sources / websites (1)
  • No new external source — synthesises prior findings
Your action before running (1)
  • Don't default to a flat 5–10% — flag this prompt to specifically reference the risks already identified elsewhere in the appraisal
Category J

Risk, Sensitivity & Decision-Making

5 prompts
J1

Sensitivity / Stress-Test Analysis

J
Context of use: Run on every appraisal before a final decision — a deal that only works at central-case assumptions is a fragile deal.
AI Prompt
Stress-test this appraisal against ±5%, ±10%, and ±15% changes in GDV, build cost, finance rate, and sales/letting period. Identify the break-even point for each variable and which assumption creates the greatest downside risk. Calculate the maximum price that should be paid under conservative, base, and optimistic scenarios.
Dataset required (1)
  • Base-case appraisal outputs (GDV, costs, finance, programme)
Data sources / websites (1)
  • No new external source
Your action before running (1)
  • Have the base-case appraisal fully finalised (G3/H1) before running this — sensitivity testing on incomplete inputs just compounds uncertainty
J2

Fatal-Flaw / Hostile Review

J
Context of use: Run independently, ideally in a separate session, so the model isn't anchored to a valuation it has already produced.
AI Prompt
Act as a hostile planning consultant, surveyor, and land buyer trying to disprove this development case. Investigate access, flooding, ecology, heritage, ground conditions, utilities capacity, title restrictions, and planning precedent. Rank each issue by probability, financial impact, and ability to mitigate, and identify any potential deal-breakers.
Dataset required (1)
  • All findings from Categories A, B, and C
Data sources / websites (1)
  • No new external source — this is an adversarial re-read of everything gathered so far
Your action before running (1)
  • Run this as a genuinely separate exercise, not immediately after a favourable valuation — the point is to counteract confirmation bias, so treat a fresh session as worthwhile
J3

Probability-Weighted Valuation

J
Context of use: Use whenever multiple development scenarios exist with different planning probabilities — turns a range into a single decision-usable figure.
AI Prompt
Given these development scenarios, each with an estimated residual value and planning probability, calculate the probability-weighted value (Σ probability × residual value). Explain what this figure means for acquisition pricing compared to simply using the base-case scenario alone.
Dataset required (2)
  • Residual values per scenario (from G3)
  • Planning probabilities per scenario (from B2)
Data sources / websites (1)
  • No new external source
Your action before running (1)
  • Ensure probabilities across scenarios are mutually exclusive and sum sensibly (they don't need to total 100% if 'no permission' is also modelled as an outcome) before running this
J4

Valuation Method Reconciliation

J
Context of use: Run whenever more than one valuation approach has been used (comparable, investment, residual, DCF) to produce a single defensible figure.
AI Prompt
Reconcile the comparable, investment, residual, and DCF valuations produced for this property. Identify where the methods agree and where they diverge, and explain the most likely reasons for any divergence. Produce a single most-defensible Market Value or investment value, stating the assumptions behind it.
Dataset required (4)
  • Outputs from E1 (comparable)
  • F2 (investment)
  • G3 (residual)
  • H2 (DCF, if run)
Data sources / websites (1)
  • No new external source
Your action before running (1)
  • Have all relevant valuation approaches completed before running this — reconciliation on partial evidence just produces a false sense of precision
J5

Investment Committee Decision Prompt

J
Context of use: The final prompt in the entire library — run once, at the end, after everything else.
AI Prompt
Act as an independent investment committee. Using all supplied title, planning, market, valuation, cost, and risk evidence, decide whether this opportunity should be pursued. State the maximum acquisition price, target price, and walk-away price. Compare realistic strategies (e.g., sell after uplift, develop and sell, develop and hold). Conclude BUY / NEGOTIATE / CONDITIONAL OFFER / WALK AWAY, and list the five pieces of missing information that could most materially change the decision.
Dataset required (1)
  • All outputs from Categories A–J
Data sources / websites (1)
  • No new external source — this is the synthesis of the entire appraisal
Your action before running (6)
  • Treat the output as a structured second opinion, not a final answer — the recommendation is only as sound as the weakest input feeding it, so check the 'missing information' list before acting
  • Master Data Source Directory
  • Every website and dataset referenced across the 50 prompts, grouped by tier.
  • Tier 1 — Authoritative / free
  • Tier 2 — Market evidence
  • Tier 3 — Professional standards & paid data
No matching prompts found. Try another keyword or choose “All”.

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