Step-by-Step Walkthrough
From Reference Accounts to
Qualified Targets
Follow along as we walk through exactly how SAP Brasil used Landbase to build a filtered prospect list.
1
Prepare Your Reference AccountsStart with Accounts You Already Know
Before you open Landbase, identify a handful of companies you already sell to or consider your best-fit accounts. These will serve as your "seed" accounts. Landbase's AI will analyze their characteristics (industry, size, geography, tech stack, hiring patterns) and use them to find similar companies.
In this demo, SAP Brasil started with 3 reference companies from their existing customer base in Brazil's retail, pharma, and food & beverage sectors.
Tip
Quality over quantity. You don't need dozens of reference accounts. Even 3-6 well-chosen companies give Landbase enough signal to find meaningful lookalikes. Pick accounts that represent your ideal customer, not just any customer.
The 3 seed companies SAP Brasil entered as reference accounts for the lookalike search.
2
Write Your Lookalike PromptDescribe What You're Looking For in Plain Language
In the Landbase chat panel, type a natural-language prompt describing the kind of companies you want to find. You don't need special syntax or query builders. Just describe your target like you would to a colleague.
"Find me companies of all sizes similar to these based in Brazil."
That's it. One sentence. Landbase's AI reads the characteristics of your 3 reference accounts, including their industries, company sizes, locations, and business models, then searches for companies that match those patterns across Brazil.
How It Works
Behind the scenes, Landbase's Target Agent analyzes your reference companies across 1,500+ enrichment fields. It identifies the shared traits that make these companies similar, then scans the full database for matches. The Qualify Agent then validates each result against your criteria before surfacing it.
The natural-language prompt typed into Landbase's conversational interface.
3
Review Lookalike Results25 Similar Companies Returned in Seconds
Within seconds, Landbase returns 25 companies that share characteristics with your reference accounts. The results appear in the data table on the right side of the screen, with each company enriched with firmographic data.
25Lookalike companies found
from 3 reference accounts
You can immediately scan the results to see which companies look familiar. In the SAP Brasil demo, the list included a mix of domestic Brazilian companies and international companies with operations in Brazil, giving the sales team both expected and unexpected targets to explore.
What to Look For
Scan the results for companies you recognize but haven't targeted yet. Those are your highest-value opportunities: companies similar to your best customers that aren't in your pipeline. Also look for international companies with local operations, as these are often overlooked in manual research.
Landbase returns 25 lookalike companies matching the characteristics of SAP's reference accounts.
4
Filter by Technology StackAsk a Follow-Up: "Which Ones Use Databricks?"
Here's where Landbase's conversational interface becomes powerful. Instead of exporting your list and cross-referencing it in another tool, you simply ask a follow-up question in the same chat. Landbase remembers your previous results and filters them in real time.
"Which ones use Databricks?"
Six words. That's all it takes to add a technology filter to your existing results. Landbase's AI searches available resources to determine which of the 25 companies have Databricks in their technology stack, then returns only the matches.
How It Works
The Enrich Agent cross-references each company against technographic data sources, including web crawls, job postings, and technology databases, to identify which ones use Databricks. Results are prioritized by confidence of the technology signal, and each company is returned with its full technology stack visible so you can see what else they're using.
A simple follow-up question filters the 25 results by technology stack without leaving the conversation.
5
Get Your Filtered, Qualified List7 High-Fit Accounts with Full Tech Stack Visibility
Within seconds, Landbase narrows your 25 lookalikes down to 7 companies confirmed to use Databricks. Each result comes enriched with the company's full technology stack, so you can see not just that they use Databricks, but what other tools they've adopted.
7Databricks users
from 25 lookalikes
~30sTime to filter
by technology
This is your qualified, actionable list. Seven companies that look like your best customers and use a technology you want to compete with or complement. From here, you can export the list, pull contacts from these accounts, or ask Landbase another follow-up question to refine even further.
What You Can Do Next
Your list is ready, but Landbase doesn't stop here. You can ask follow-up prompts like "Pull CIOs and CTOs from these 7 companies" to get decision-maker contacts, or "Which of these are not current SAP customers?" to exclude existing accounts. Each follow-up builds on your previous results.
The final output: 7 qualified accounts that match SAP's customer profile and use Databricks.
Each company shows its full technology stack, with Databricks confirmed alongside other tools in use.
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