Precisely has launched a new product to help enterprises and multi-location brands better harness location intelligence. Known as StreetPro Discover, it goes deeper than most intelligence databases in unearthing place insights to support targeted marketing, physical expansion, and other purposes.
These platform advantages boil down to being optimized for AI. In other words, StreetPro Discover is human and machine-readable, so LLMs can be trained on data about geographic locations. That unlocks conversational AI for enterprises or brand marketers to ask direct questions and get deep insights.
One selling point for all the above is speed. For example, decisions about opening a new location are often pressured by limited windows of real-estate availability and other shifting market conditions that compel quick decisions. StreetPro Discover boasts lets execs make big decisions at the speed of AI.
“StreetPro Discover fundamentally reshapes how organizations operationalize street-level intelligence by making complex geographic data truly AI-ready,” Precisely EVP and GM of Data Enrichment Dan Adams told Localogy Insider. “By transforming detailed street attributes into intuitive, accessible insights, it empowers teams — from site planners and logisticians to risk analysts and urban developers — to ask natural language questions and instantly gain the location context they need to make smarter, faster decisions.”
Outputs and Insights
Beyond speed, a natural-language UX is another key attribute of StreetPro Discover. As the AI age continues to march forward, one byproduct is that user expectations and behaviors will rapidly evolve. For example, on the commercial web, AI search engines have conditioned more conversational queries.
StreetPro Discover likewise lets multi-location brands do things like ask questions about a set of locations where they’re thinking of opening a new store. They can ask about weather patterns, annual foot traffic, or risk-management factors like crime rates, while generating reports that compare locations.
Precisely names a few other use cases for StreetPro Discover
- Site selection & market planning – Identify high-potential locations using street and traffic context
- Delivery logistics & routing intelligence – Improve last-mile outcomes with clearer street-level insight
- Infrastructure investment & urban planning – Support smarter planning with trusted, street-level visibility
- Risk assessment & underwriting – Incorporate street and traffic attributes into location-based evaluation workflows
All the above is underscored by data that Precisely recently published. According to its 2026 State of Data Integrity and AI Readiness report, 96 percent of data leaders say that their organizations invest in location intelligence. But 31 percent say that compatibility with other software, including LLMs, is lacking.
SOCi Study: LLM Queries Are 6x Longer Than Traditional Search
Outputs & Insights
Stepping back, StreetPro Discover could be well timed in terms of the evolutionary point of AI. As human operators increasingly become adept at conversational UX, workflows will be more natural by removing the abstraction layer we now have in computing. That lets them focus on outputs and insights.
The above statements may seem ironic in that it’s an evolution to simply get back to the natural ways that humans converse. But that’s where we are. And this broader evolution to remove abstraction layers will happen across the computing landscape – such as evolving past caveman-speak in web search.
Precisely sees this clearly, and is positioning most of its products around this principle. In fact, location intelligence is one area that could benefit from more intuitive and natural interactions. It’s famously an area drowning in data but lacking in usable insights. Inverting that paradigm will be the name of the game
“[StreetPro Discover] accelerates workflows, enhances analytical accuracy, and helps unlock the full potential of AI-enabled location intelligence across the enterprise,” said Adams.
Header image credit: Lance Asper on Unsplash
