ForkLog Lab enters the open market: analytics and AI promotion for everyone

After four years of working exclusively with partners, the research and consulting laboratory ForkLog Lab has announced its entry into the open market. From now on, any project or company can gain access to its analytical, marketing, and media expertise.
The laboratory's key focus is increasing brand visibility in artificial intelligence systems and search algorithms. The modern market requires not just a presence on Google, but also recognition in responses from ChatGPT, Claude, Gemini, Perplexity, and other AI tools. ForkLog Lab offers strategies that enable brands to be cited more frequently by these systems and influence how AI describes their products.
Three service areas
In addition to AI promotion, the laboratory operates in three key areas:
- Research and analytics — preparing reports, datasets, market monitoring, and forecasts so clients make decisions based on data rather than intuition.
- Marketing and strategy — developing communication strategies, positioning, and go-to-market plans.
- AI infrastructure and tools — creating systems for content production and scaling, as well as custom workflows tailored to specific business tasks.
Clients also have access to a full range of media communications: news, longreads, banner placements, YouTube reviews, podcasts, AMA sessions, and interviews. All terms and prices are compiled on the laboratory's advertising opportunities page.
As a reminder, ForkLog Lab has already launched the RocketLaunch program, offering a 50% discount on advertising for crypto projects under one year old. This is an excellent start for young teams looking to make their mark on the market.
Expert opinion: ForkLog Lab's entry into the open market is a logical step. Demand for integrating AI strategies into marketing is growing exponentially, and the laboratory possesses unique expertise that was previously available only to a select few. For crypto and blockchain projects, this is an opportunity not just to be noticed, but to shape the narrative around their products in the era of algorithmic perception.