Is Your Trademark Search Technology Holding You Back? Discover Our Three Best Ways to Cut Complexity in 2026

For example, let’s look at one of today’s hottest trends, Ozempic. 

When ordering a combined search for pharma and trademarks, you will get four types of results using the Markify trademark search platform: 

• The Trademarks tab displays the results produced by Markify's proprietary algorithm filtered by risk level (1 being very high risk).
• The Trademark (POCA) tab displays the results sorted by the POCA algorithm (you will see that the number of results and their sequence is different from the first tab).
• The Pharma tab lists all similar pharmaceutical results (pharma-in-use and other pharma sources), and also has a POCA ranking.
• Finally, the Merged (pharma) tab displays a combination of the Trademark (POCA) and Pharma tab info, grouping results by name and highlighting matches where a name is both trademark-protected and in use in pharma.  

You can also fold and expand different sections to shift your focus when you're analyzing results, so results are clear and convenient at every step. 

Our Boolean search 'presets' will allow you to focus on the trickiest results that fit your detailed parameters. 

In this example, our team searched for ‘Petsure’ in class 5 via the Boolean search presets, restricting results to specific similarities shown below. In particular, we wanted to be sure there are no other products in the same class utilizing the last six characters of this name.  

As you can see, the 'Preview meta' displays what results to expect, allowing you to quickly reference the number and name of hits found. This ensures you’re on the right track before initiating a full search. 

The Green Book is the official database of all FDA-approved animal (veterinary) drug products, covering both ‘pioneer’ proprietary names and generic animal drugs.   

While it is not legally mandatory to search in human medicine databases when filing a trademark for a veterinary product, it is strongly recommended. This helps avoid conflicts with existing human pharmaceutical trademarks, which are often considered in likelihood-of-confusion assessments due to overlapping classes (e.g., class 5) and similar healthcare channels. 

With the Markify search platform, you can search across veterinary product databases and ‘human’ pharma ones to avoid any likelihood of confusion. And the Green Book is only one example of our veterinary-specific datasets; it’s also possible to search in Markify against the FDA’s Purple Book for biological products and the Orange Book of approved drugs.  

Searching for Veterinary-Specific Data: Nexgard 

For example, let’s run a search in the Green Book for Nexgard (an anti-parasitic for dogs): 

Next, let’s compare that with a search for Cidirol, a trademark covering veterinary products, that was revoked on the grounds of non-use. As you can see, the search revealed a lot of trademark information, but no presence in the Green Book: 

Note: the algorithm provides results in Russian (Cyrillic), not only in the Latin alphabet, since it provides non-Latin names transliterations. 

AI technology can streamline trademark analysis by quickly identifying similar G&S descriptions, translating terms, and suggesting synonyms. Let’s look at an example of our AI G&S similarity analysis, using the mark Skylo for running shoes. 

As you can see, we’ve added an extra column showing goods and services similarity as a percentage. It complements the existing ‘distance ranking’ feature we already have in Markify, which focuses specifically on graphical similarity.  

Combined, these percentages are very useful, since they provide instant insights into whether an existing trademark could block your mark. If both the trademark and the goods are similar, then the likelihood of confusion is likely to be prohibitively high. 

Did you know you can rapidly generate AI-supported risk assessment drafts from search results with Qthena? 

The AI model recognizes the linguistic proximity between the trademarks to quickly assess risks, identify potential conflicts, and compare trademarks. 

But that’s not all. You can evaluate and analyze the results further by chatting with the generative AI assistant to clarify any trademark questions, query the importance of selected trademarks, and instruct it to prepare first drafts of legal opinion for your review. 

Other ‘skills’ for trademarks are available in Qthena, including G&S drafting and office action response management. Find out about the full range of capabilities by watching our webinar ‘Experience AI Copilots in Action’.