How a B2B ERP software went from ambiguous to correctly categorized by ChatGPT
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An SMB ERP software company had a critical identity problem: its communication tried to cover too much. The website talked about business management, digitalization, automation and digital transformation in a generic way. AI didn't know which category to place it in or what type of company it served.
The problem
Searches like "best ERP for SMBs", "business management software for small companies" or "Holded alternatives" didn't include the brand. The communication ambiguity made AI ignore it in favor of competitors with clearer positioning.
FAIV™ Diagnosis
- Communication too broad for correct AI categorization
- Lack of clear association with the SMB ERP category
- Scattered signals that AI interpreted as lack of specialization
- Absence of specific technical language that AI associates with management software
Solution applied
Main category definition
Clarification of the central positioning: ERP for SMBs. Elimination of generic messages and concentration of signals in the category where the company can be a reference.
Semantic restructuring of content
Rewriting of web and external content with specific business management language, ERP modules and concrete use cases that AI can associate with real searches.
Identity consolidation across channels
Unification of messaging across web, LinkedIn, specialized media and software directories so all sources AI consults convey the same positioning.
Results
- Identified and categorized as a relevant ERP solution for SMBs in ChatGPT
- Appeared in queries about business management and SMB digitalization in Gemini
- Greater precision in lead segmentation from generative searches
- Clear differentiation vs. generalist solutions in AI responses
Key learning
“Trying to be everything to everyone is the fastest path to AI invisibility. Generative engines reward clarity and specialization. Once the category was defined precisely, the classification was immediate.”
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