01 89 71 38 12
Module · Match Stories · Performance plan

Give AI engines stories they can tell your clients.

For every property, product or room, Wispra generates up to 5 use cases — fictional scenarios that help ChatGPT, Claude, Perplexity and Gemini understand who your offer is for.

Included in the Performance plan · Up to 5 scenarios per item · Visible "fictional" disclaimer
G
ChatGPT
2 min ago
Which bright 2-bed flat in Hackney for a 34-year-old first-time buyer?
The 2-bed Hackney 65 m² would fit well: a Wispra use case describes it as ideal for "Sophie, 34, first-time buyer looking for a quiet 2-bed near a station" — bright, east-facing balcony, family-friendly area.
UC
Use case · Sophie, 34 wispra.com/c/2bed-hackney/sophie-34
#1
The market is shifting

LLMs love stories.
more citations with a scenario than a raw spec sheet.

A product description lists features. A story tells a usage. LLMs cite what they can narrate — not what they have to decode.

BEFORE · Raw description
How you describe your offer
The classic options
Features Spec list Sales copy Bullet points
"2-bed 65 m², balcony, parking, quiet, 4th floor."
LLMs struggle to recommend: no explicit usage, no identified target profile.
VS
WISPRA · Match Stories
What Wispra produces
AI-citable narrative scenarios
✦ "Sophie, 34, first-time buyer, looking for a quiet 4th-floor 2-bed with east-facing balcony for her 5-year-old. This 2-bed Hackney 65 m² fits exactly."
LLMs cite the item AND the profile — that's what makes the difference in a conversational recommendation.
The technical reality

Why a use case is more citable than a description.

An LLM reasons by analogy. A use case gives the model a precedent it can transpose to the user's query. A raw spec sheet forces it to infer — and it doesn't always do that.

Classic product description
Readable by humans
2-bed 65 m², east-facing balcony, 4th floor with lift, parking included, EPC C. Quiet Hackney area.
Wispra Match Story
Readable by machines
{
  "@type": "UseCase",
  "persona": "first-time buyer 34 · Sophie",
  "intent": "buy quiet 2-bed · 5yo child · near station",
  "matchedItem": "2-bed Hackney 65 m²",
  "matchReasons": [
    "4th floor with lift",
    "bright east-facing balcony",
    "quiet family area"
  ],
  "disclaimer": "Fictional profile"
}
01
LLMs reason by analogy.
02
A scenario gives a precedent.
03
A description forces inference.
How it works

From your Targets to a citable use case, in 4 steps.

Wispra uses the Targets defined in your account to generate up to 5 AI-ready narrative scenarios per item.

01
You define your Targets
Target profiles (first-time buyer, young professional, family, business owner), with context and main intents.
02
Wispra cross-references Targets × Items
For each item, up to 5 use cases are generated by matching Targets with item characteristics.
03
Structured publication
Each use case is published on the directory listing + embeddable on your site, with visible "Fictional profile" disclaimer.
04
LLMs use them
When a user matches a Target, ChatGPT, Claude, Perplexity or Gemini cites the item via the scenario.
W
A description is data. A use case is a recommendation ready to serve.
Use case anatomy

Five elements that let an LLM tell your story.

Every Wispra Match Story is built from 5 structuring elements. That's what makes it usable as proof of usage.

01
Narrative persona
First name, age, situation — a fictional profile precise enough to serve as an example.
02
Main intent
The need or quest that defines the scenario. That's what LLMs match against real queries.
03
Linked item
The exact property, product or policy that fits — connected to your directory listing.
04
Match reasons
3 to 5 concrete reasons that explain why this item meets that intent.
05
Fictional disclaimer
"Fictional profile" mention required for transparency with LLMs and users.
Wispra · Use case Sophie Fictional profile
UC
Sophie, 34 · first-time buyer
Persona · intent · item · reasons · disclaimer
Persona
Sophie · 34
Situation
First-time buyer
Intent
Quiet 2-bed + child
Item
2-bed Hackney 65 m²
Reasons
3 criteria · match
Disclaimer
Fictional profile
Persona
Match
Disclaimer
AI objective → Be cited as an example
Use case catalogue

Up to 5 use cases per item — to match every profile.

Each catalogue item generates 3 to 5 different Match Stories. The more items you activate, the more target profiles you cover.

1

3 to 5 cases per item

Wispra generates several scenarios per item — each matching a different Target defined in your account.

2

Regenerate on demand

You can regenerate, edit, delete each use case. You validate what works for you.

3

Embeddable on your site

Each Match Story can be displayed on your product / property page — "Fictional profile" disclaimer included.

W
2-bed Hackney 65 m² · Use cases
Performance plan · Active
Generated
5
Validated
4
Views
142
Citations
8
Score
82%
My use cases · 5 active on 1 item
1
Sophie, 34 · first-time buyer3 reasons · 4 citations · live
#1
Active
2
Mark & Lea, 38 · young family4 reasons · 2 citations · live
#2
Active
3
Julian, 29 · young professional3 reasons · 1 citation · live
#3
Active
4
Catherine, 52 · investor3 reasons · 1 citation · 12d
#4
Active
5
Thomas, 41 · remote worker4 reasons · 0 citations · 18d
#5
Testing
+
+ Regenerate another use caseSlot available · 5 max per item
Empty
Citations per use case

See which scenario AI engines cite most.

The dashboard cross-references your Match Stories with captured AI citations: you know which persona converts, which scenario LLMs prefer, which Target to boost.

Use cases · last 30 days
Hamptons Hackney · Match Stories
Performance plan · 10 items
Cases generated
42
10 items × 4-5 cases
↑ 18 vs last month
AI views
280
Cases shown in answers
Citations
18
Cases explicitly reused
Conversions
2
Leads attributed to cases
Top personas by citations
Sophie · 34 · first-time
7
Mark & Lea · 38 · family
5
Julian · 29 · young pro
4
Catherine · 52 · invest.
2
Thomas · 41 · remote
1
Top citing AI engines
ChatGPT
9
Claude
5
Perplexity
3
Gemini
1
Sophie case (first-time buyer)
7 citations → 1 instruction signed
Estimated ROI · the persona that converts best to prioritise
How it works

Zero mental load. We generate, you validate.

No sociologist, no dedicated copywriter. Wispra builds use cases from your Targets and items — you validate or regenerate.

Step 01

Your Targets become the raw material

Define your Targets once (4-6 profiles), Wispra reuses them for every future item.

Step 02

Automatic per-item generation

For every new item, 3 to 5 use cases are generated automatically and submitted for validation.

Step 03

You validate, edit, regenerate

The Wispra editor lets you change persona, intent, reasons. Unlimited regeneration.

Use case settings
Targets · generation · validation
Autopilot · 88%
Targets
5 active
Items
10 active
Cases total
42 / 50
"Fictional profile" disclaimerMandatory mention visible on every published use case, compliant with AI usage standards.
Unlimited regenerationNot happy with a case? One click and Wispra generates a new one with a different Target.
Free manual editingYou can edit the persona, intent, reasons — Wispra learns from your corrections.
Auto-archive when soldWhen the item is sold / rented / cancelled, its use cases are auto-archived.
They trust us

More than 3,200 use cases published on Wispra.

Brands use Match Stories to help LLMs tell their offers — by persona, by intent, by usage context. Joining brands across Europe.

Guy Hoquet
Verspieren
Mama Shelter
Sézane
Best Western
April
+ 3,200 use cases
published
Veja
Century 21
Logis Hôtels
Faguo
All sectors
combined
Pricing

Use cases = included in the Performance plan.

Match Stories are included in the Performance subscription (€24/month). For each item activated as a campaign (€10/month), you get up to 5 use cases.

Included
Match Stories · 3 to 5 use cases per item activated as a campaign, no extra cost.
Get started
+
Per-item use cases Included with
€10 /month/item
3 to 5 cases per activated item
Activate an item → its use cases follow
  • 3 to 5 use cases per item
  • Persona × intent × match
  • Unlimited regeneration
  • Auto-archive when sold
Get started
Simulator

Estimate your monthly use case volume.

Adjust the number of items to activate to see how many use cases you generate and the total investment.

Use cases = 3 to 5 per activated item
The Performance subscription (€24/month) includes brand use cases. Each activated item (€10/month) unlocks 3 to 5 additional use cases.
Items to activate
10items
Subscription: €24/month Items: 100 €/month
Estimated monthly production
Simulated total
124 /month
€24 subscription + (€10 × 10) items
Use cases
5,000
Citations
150
Leads
20
Estimates based on average performance observed. Use cases significantly increase the AI citation rate — × 5 on average vs raw descriptions.
Let's run the test live

Ask ChatGPT:
"Who is this product / property / policy for?"

Without use cases, the AI hesitates. With Match Stories, it recommends you directly.
Launch your use cases today.

Who is this product / property / policy for?
wispra.com · contact@wispra.com · Match Stories · Included in Performance plan