Traditionally, property buyers and professionals have had to examine multiple documents and government records to understand a property’s ownership history, registered transactions, guideline value, survey details and applicable restrictions.
Artificial Intelligence (AI) is transforming real estate by simplifying property searches, document analysis and land record verification. It helps users understand ownership history, registered transactions, guideline values and land restrictions more efficiently.
However, AI alone cannot guarantee clear title; proper document verification and professional legal advice remain essential for safe property transactions.
Spend a few minutes exploring how LandLens One’s integration with ChatGPT and Claude is transforming property verification with AI-powered insights, helping make property transactions safer and more informed.
LandLens One
LandLens One is a property-information and verification service developed by Verified Real Estate. It enables users to investigate land in Tamil Nadu through an AI-assisted interface, Veritas.
Instead of navigating every tool separately, users can ask Veritas property-related questions in ordinary language. LandLens One can select relevant checks and retrieve available information from its connected registers and datasets.
For example, users can ask questions about:
- Property details associated with a survey number.
- Guideline values and land valuation.
- Registered transactions and Encumbrance Certificate (EC) searches.
- Survey-level approvals and certain planning or regulatory information.
- Available geospatial information and land-related restrictions.
- Other property-document and verification services supported by LandLens.
The availability, cost and scope of each check depend on the specific tool and the records available.
How does LandLens One use AI technology?
LandLens One helps connect a user’s question with the appropriate property-information tool. It can explain the results in a conversational format, making technical property information easier to understand.
For instance, instead of manually searching for the relevant service, a user could ask:
“What is the guideline value for this survey number in this village?”
The system can identify the relevant check, retrieve the available information and explain the result.
This approach can help property buyers, real estate agents, legal professionals, surveyors and property researchers organise their initial investigations more efficiently.
Levelled Up: Integrating LandLens One with ChatGPT and Claude
LandLens One extends this approach by supporting integration with AI assistants such as ChatGPT and Claude through the Model Context Protocol (MCP).
MCP is a standard that allows compatible AI applications to connect with external tools and services.
With this integration, users can ask property-related questions directly within ChatGPT or Claude, rather than switching between multiple applications for every enquiry.
The connection uses the following server address: https://verified.realestate/mcp
Once the connection is authorised, the AI assistant can use the available LandLens tools to carry out supported property checks.
The service uses the user’s LandLens account and wallet for applicable credit charges.
Important: The connector does not make every property record freely available, nor does it guarantee that every requested record can be retrieved. Results depend on the available tools, records and service conditions.
First you have to sign into the Verified.Realestate’s Landlens one.
Connecting LandLens One to ChatGPT
Step 1: Open ChatGPT
Sign in to ChatGPT. You need an account that supports custom MCP connectors like Plus and advanced versions
Step 2: Add a custom connector
On the side bar look for Plugins and click. Then on the right hand side look for the settings symbol, open it and select the option to add a custom MCP server.
Enter the following details:
| Field | Details |
|---|---|
| Name | LandLens One |
| Server address | https://verified.realestate/mcp |
| Authentication | OAuth |
Step 3: Connect LandLens One
Click Create, then select Continue to LandLens One. Sign in to your LandLens account, it opens a box which explains about the app and your credit balance. Approve the connection. Now you are connected.
Step 4: Start using LandLens
Open a ChatGPT conversation and invoke LandLens One by entering in the chat bar @Landlens one and then enter the property’s survey number, village and taluk to begin your checks.
Connecting LandLens One to Claude
Step 1: Open Claude
Sign in to Claude and navigate to Customize → Connectors.
Step 2: Add the connector
Click Add → Add custom connector and enter:
| Field | Details |
|---|---|
| Name | LandLens One |
| Server address | https://verified.realestate/mcp |
The Claude automatically retrieves the details . So, keep the default authentication settings and click Add.
Step 3: Authorise the connection
Click Connect, review the LandLens information and credit balance, and approve the connection. Then select Connect to Claude.
Step 4: Start using LandLens
Open a new Claude chat and ask your property-related question. If Claude requests permission to access LandLens, choose Allow once or Always allow. Enter the survey number and other required property details to proceed.
Now Let’s Verify a Property
In Chatgpt
Using LandLens One in ChatGPT
Once connected, open ChatGPT and enter @LandLens One followed by your property-related question.
Example:
“Use LandLens One to check the available property details for survey number 163 in Karapakkam, Tamil Nadu.”
You can then ask for specific checks, such as:
- Guideline value: Find the applicable guideline value.
- EC search: Check the available registered transaction records.
- Property verification: Summarise the available information and identify any discrepancies requiring further investigation.
Basic checks may be free. Before a paid government-record search proceeds, review the proposed credit cost and approve it.
In Claude
Open a new Claude chat and ask a property-related question using the connected LandLens One tools.
Example:
“Use LandLens One to investigate survey number 163 in Karapakkam. Check the available property records and identify any issues that need further verification.”
If a paid search is proposed, review the credit cost and approve the operation before proceeding. Once the results arrive, ask Claude to summarise the findings and list any documents that require further verification.
Important: AI-assisted checks support property due diligence but do not establish clear title on their own. Verify the relevant records and documents before making a property transaction.
Remember: ChatGPT and Claude are the interfaces used to ask questions. The information retrieved depends on the LandLens tools, their data sources and the scope of the requested check.
Understanding the LandLens One Credit System
LandLens One uses a wallet-based credit system for applicable paid services. Credits are drawn from the user’s LandLens account, rather than being a separate ChatGPT or Claude subscription charge.
Many basic property lookups are free. Paid services have different costs, depending on the particular operation.
Several basic checks are free, including guideline value, stamp duty, old-to-new survey number lookup and EC data availability. Other services require credits: for example, patta and FMB sketch searches generally cost 1 credit each, road-width checks cost 2 credits, and a complete Verify My Land report costs 4 credits. An EC record retrieval is quoted first and requires approval. Always check the displayed price before proceeding.
How does the credit system work?
The same wallet is used across these services. The cost is shown before a paid check, and certain searches require your approval. If a check fails or returns no records, the credit is generally not charged or is refunded, depending on the service
To learn more about using LandLens One and its subscription mode, read our detailed guide here:
https://community.verified.realestate/article/landlens-by-verified-realestate-ai-property-verification-tool-for-tamil-nadu-land-buyers/
What happens during the search?
The usual process is:
- Ask a question: Enter the property details, including survey number, village and taluk, in ChatGPT or Claude.
- AI processes the request: The assistant sends your query to LandLens One through the MCP connection.
- Relevant tool is selected: LandLens identifies the appropriate property check.
- Credit approval: For paid searches, review the proposed cost and the approval of the user is requested. .
- Records are retrieved: After the approval of the user, LandLens fetches the available information from connected records and databases.
- Results are explained: The retrieved information is returned to ChatGPT or Claude, which summarises it in simple language.
Once the connector is added via the web, it becomes available for use in the ChatGPT and Claude mobile applications as well
What happens if the records cannot be retrieved?
LandLens documentation states that many checks are charged when a register provides an answer, and that an unsuccessful check may not incur a charge.
For example, an approved EC search that returns no transactions may return the held credit. Certain other operations also have specific refund conditions.
However, the exact outcome depends on the tool and its documented charging rules. Do not assume that every unsuccessful operation follows an identical refund process.
Monitoring Credits and the Saved Files
Users can check their available balance through the LandLens account and the supported account or dashboard interfaces.
Every call or activity performed using LandLens—including API and MCP requests—is listed and stored within LandLens dashboard .
Before starting a paid search, users should check the balance and review the quoted cost.
How to Disconnect LandLens One from ChatGPT or Claude
Users may wish to disconnect the integration when they no longer need it or want to review their connected services.
User can disconnect LandLens from ChatGPT and Claude at any time. To do this, they need to manage their access directly through their LandLens dashboard.
All the active connections, including API and MCP calls, are listed under the API and MCP section of their account settings on the LandLens website. From there, they can choose to disconnect the application whenever they wish.
Does disconnecting delete saved records or activity logs?
Not necessarily.
Important Precautions Before Using AI for Property Verification
AI-assisted verification can improve the efficiency of property research, but users should keep the following points in mind.
1. Confirm the correct property. Always verify the survey number, subdivision, village and taluk. Similar identifiers can refer to different parcels.
2. Review the cost before approval. Paid operations may have different credit requirements. Check the actual quoted cost rather than relying on a general estimate.
3. Do not treat missing records as proof of a clean title. A missing result may reflect data availability, search scope or other limitations.
4. Obtain the necessary documents. Where a transaction depends on the result, examine original or certified documents and seek appropriate legal or survey verification.
5. Review permissions carefully. Authorise only the connector and tool access you need. Use one-time approval where appropriate.
6. Understand the limits of the data. A returned map, valuation or analytical summary is not automatically a certified government document or a legal determination of ownership.
7. Check the source and date. Verify the coverage, currency and completeness of the information used in the result.
Conclusion: Making Property Research More Accessible with AI
LandLens One integrates with ChatGPT and Claude to simplify property research through AI-powered land record searches. Its MCP connection helps users access relevant checks, understand results and review credit costs before approving paid searches.
AI-assisted property searches are a valuable starting point, but offline verification of the retrieved records through Verified Real Estate (VRE) is essential to identify discrepancies, confirm document authenticity and strengthen the legal due-diligence process.
Combining AI-powered research with VRE’s offline verification and professional scrutiny helps buyers and real estate professionals make informed decisions and ensures a stronger, safer property transaction.