Bidaya
Find RFPs and firm knowledge
- Category
- AI
- Primary Subcategory
- Government Procurement & Contract Search
Integration details
Description
Bidaya gives architecture, engineering, and construction teams one place to find the knowledge and opportunities they need to pursue new work. Search past proposals, firm documents, resumes, project experience, and company records, then discover relevant RFPs and tenders with recommendations tailored to your organization.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Government Procurement & Contract Search
- Secondary Subcategories
- None listed
- Brand
- Bidaya
- Access
- Account required
- First tracked
- 2026-08-19
- Tool count
- 16
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
ChatGPT Plugin Discovery Score
ChatGPT Plugin discovery is coming soon
ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.
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What discovery looks like

Competing in ChatGPT Government Procurement & Contract Search
View Category16 tools agents can invoke
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Bidaya alternatives on ChatGPT?
As of 2026-09-11, Bidaya competes with BidPrime, Civic Marketplace, CLEATUS, DC PASS Contracts, egp · งานประมูลภาครัฐ, European Union Tender Search, GETWAB Federal Procurement AI, Govly, GovTribe, LicitaLAB, SCOUT for Federal Contracting, SourceFlag, Sweetspot, Tango MCP, Townline, VectorGov, Znajdź Przetargi in ChatGPT Government Procurement & Contract Search, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.