
Memin
PinpointIQ
Placer.ai
Carto
Google Maps
ArcGIS
Buxton
Location intelligence and site decision tools for modern teams.

Profound
AI marketing platform for brands.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | geod.app | digraph.dev |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


Geod helps expansion teams at multi-location brands formalize site selection and apply it at scale. Define criteria, weights, and thresholds once, then score pins or batches of candidates with explainable briefs and one-click PDF reports. The platform maps drive-time trade areas, aggregates...
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Digraph.dev yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Geod.app and Digraph.dev.
Geod.app's answer
Geod is the only site selection platform built around explainability and auditability from day one.
Most tools in this space either produce opaque "AI scores" that can't survive CFO scrutiny, or require expensive consultants to interpret. Geod takes the opposite approach: every score is a transparent weighted linear model where each component—demographics, competition, traffic patterns—is visible, adjustable, and cited with its data source and vintage.
Teams define their own criteria instead of accepting a vendor's black-box formula. The output is a committee-ready brief that makes the decision rationale explicit and defensible, not a number that requires a sales rep to explain.
Geod.app's answer
Current alternatives force a painful tradeoff:
Consultants and brokers produce one-off site packages that cost $5-15K per location and can't scale with a growing pipeline. Enterprise platforms like SiteZeus or Buxton require six-figure annual contracts, lengthy onboarding, and often deliver scores no one can fully explain. DIY approaches with Excel and ad hoc data pulls are slow, inconsistent, and hard to defend in committee.
Geod sits in the gap. It's self-serve, priced for mid-market teams ($295-995/month), and designed around how site decisions are actually reviewed and approved. Teams get consistent, auditable output without enterprise complexity or consultant dependency.
The key differentiator is transparency. When a site goes to committee, stakeholders can see exactly why it scored the way it did and challenge specific assumptions rather than accepting or rejecting a black-box number.
Geod.app's answer
Expansion and real estate teams at multi-unit restaurant and retail chains in the 30–500 location range.
These teams are growing fast enough to need a repeatable process but aren't large enough to justify $100K+ enterprise contracts or dedicated analytics staff. They're often led by a VP of Real Estate or Director of Development who is evaluated on new
store performance and needs defensible analysis to present to leadership.
Secondary audiences include franchise development teams evaluating territory density, commercial real estate brokers who advise multi-unit tenants, and PE-backed portfolio companies rolling up regional chains.
Share your experience with using Geod.app and Digraph.dev. For example, how are they different and which one is better?
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