At a glance
| Country | TW |
| Website | omnimatcher.com |
Company profile
Omni Matcher operates an AI business-matching platform for exhibitions and serves buyers, exhibitors, and organizers, with the same demand creating value across all three roles. Buyers can use the Askpo conversational assistant to describe needs in their own words, search for matching exhibitors and booths in more than a hundred languages, save and compare exhibitors, send inquiries, and book meetings. Exhibitors receive graded intent leads with behavioral evidence so they can understand why each lead received its grade and decide which opportunities to follow up first. Exhibitors can also manage company and product content, inquiries, meeting schedules, and their own booth exposure and performance through the platform. Organizers can view demand across an exhibition, including what visitors are looking for and which needs have not yet been matched, so exhibitor recruitment and service planning can be based on observed buyer demand. Omni Matcher also makes exhibitions and relevant exhibitors findable when buyers search for suppliers through Google and AI search services such as ChatGPT and Gemini, including buyers who were not already on the registration list. The company states that exhibitors do not need to perform their own search optimization, change their websites, or submit extra files in order to participate in this discovery channel. Its stated outcome goes beyond exposure and clicks to include buyers who arrive, the needs they express, and the leads exhibitors receive, while keeping exhibitor pages discoverable for twelve months rather than only for the three days associated with a booth. Omni Matcher describes search and AI as an acquisition channel that brings new buyers into the exhibition, Askpo as the interface that helps buyers express demand, graded leads as the mechanism that lets exhibitors identify opportunities, and Demand Radar as the organizer view that retains demand intelligence. The platform states that it has opened Google and AI-search acquisition entry points for 1,633 exhibitors and that visits arriving from Google and AI search are recorded at the individual-exhibitor level rather than estimated from a sample. For organizers, the platform describes demand intelligence as a year-round asset that can be used to see demand topics, recruitment opportunities, and high-intent leads that have not yet been connected to an exhibitor. The platform's demand-supply view distinguishes situations such as high demand with low supply, high demand with ample supply, low demand with low supply, and low demand with ample supply so organizers can use observed questions as an input to recruitment and topic planning. Omni Matcher states that buyer contact details such as email and phone are not provided to exhibitors and that exhibitor-side identity display uses a company name or masked form rather than a buyer's full personal name. Instead, exhibitors receive graded intent signals and behavioral evidence and can contact buyers through in-platform messaging, subject to stated limits on exhibitor outreach and the buyer's ability to turn off receipt of messages.
Exhibits
The platform includes Askpo, a conversational visitor assistant for natural-language exhibitor search in more than a hundred languages, together with a graded exhibitor-lead inbox and inquiry management. Its feature set also includes buyer-exhibitor meeting scheduling, exhibitor content and media management, booth-performance analytics, and organizer demand-intelligence functions. As the platform operator, Omni Matcher provides platform-operation demonstrations, support, and discussions about platform adoption and collaboration with exhibitors and organizers. Askpo allows buyers to begin with a natural-language question without a registration wall before the first message, and each question, save, and comparison becomes a buyer-generated signal of interest. The lead model uses A, B, and C levels: A represents strong intent with an explicit purchase or discussion intention, B represents high intent such as active attention or repeated comparison of similar exhibitors, and C represents medium intent such as initial browsing and information gathering. Each graded lead is accompanied by behavioral evidence so exhibitors can see why the lead received that level and make their own follow-up decision. Demand Radar provides organizers with a year-round view of who is looking for what, including demand topics, recruitment opportunities, and unmatched high-intent leads, and aggregated demand-topic counts can be opened to view sample buyer questions. For deployment, the platform states that organizers provide the exhibitor list and existing materials and designate IT and marketing contacts, while Omni Matcher handles platform setup, exhibitor onboarding assistance, and ongoing operations, with website embedding supported through an integration package. Exhibitor add-on services described by the platform include an A-level buyer-intelligence package with lead lists and behavioral-evidence details, listing and recommendation placement, and Askpo answer placement for specified keywords.
Capabilities and products
- natural-language exhibitor search in hundreds of languages
- graded intent leads with behavioral evidence
- graded-lead inbox and inquiry management
- buyer-exhibitor meeting scheduling
- exhibitor content and media management
- booth performance analytics
- organizer demand intelligence analytics
- AI-search-readable public exhibitor pages