Akii, a cutting-edge search intelligence company, has unveiled AI Engage, an innovative platform designed to train generative AI models directly on brand content. This new tool runs automated engagement campaigns against major AI search engines by prompting them with realistic and repeated queries. The goal is to ensure these AI models crawl, analyze, and internalize a brand’s website, thereby improving how generative answer engines represent the brand’s products and positioning in their responses.
Addressing the AI Visibility Gap
With the rise of AI-powered search assistants—such as ChatGPT Search, Google AI Search, Perplexity, and Microsoft Copilot—the way consumers discover information has shifted dramatically. Unlike traditional search engines that provide ranked lists of web pages based on keywords and backlinks, these AI systems generate answers by synthesizing data. They present responses directly, often integrating product recommendations and brand mentions as part of conversational output.
This foundational change creates a visibility challenge for brands. While a company may rank highly on traditional search engines, there is no guarantee it will appear or be accurately represented in the answers provided by AI models. Traditional SEO metrics and tools fall short in measuring brand visibility within these AI-generated responses.
Josef Holm, Akii’s Founder and CEO, describes this evolution succinctly: “Search is moving from ranking pages to ranking brands.” AI models assess brands not just based on links or keyword usage, but by recognizing consistent patterns, authority signals, and the prevalence of a brand across credible sources. If a competitor frequently appears within authoritative content that AI trains on, they may become the default reference point—even if their products are no better than others on the market.
How AI Engage Works
AI Engage functions as an automated engagement system, actively triggering repeated, realistic queries on major generative AI search engines. These interactions prompt the AI models to retrieve, parse, and learn from a brand’s online content more thoroughly than passive crawling might achieve. By simulating natural user queries, AI Engage ensures the AI develops a nuanced understanding of the brand’s offerings and positioning.
Integrated with Akii’s wider AI Search Intelligence platform—which includes tools like the AI Search Tracker—AI Engage not only shapes perception but also guides action. The AI Search Tracker monitors how brands are currently represented within AI-generated outputs, highlighting gaps and opportunities. AI Engage then addresses those by boosting relevant brand signals, creating a feedback loop between diagnosis and optimization.
Key Features and Capabilities
- Multilingual Support: AI Engage operates in six languages, allowing brands to assert their presence in diverse global markets and signal consistency across languages.
- Realistic Query Simulation: The platform runs automated campaigns that closely mimic natural user questions, enhancing AI model learning authenticity.
- Active Brand Signal Amplification: Beyond monitoring, AI Engage empowers brands to proactively improve how AI systems understand and prioritize their content.
- Integration with AI Visibility Monitor: By pairing real-time visibility tracking with active engagement, the platform ensures brands can respond dynamically to competitive pressures and shifting AI behaviors.
Generative Engine Optimization: The New Frontier
AI Engage emerges amid a growing industry trend toward Generative Engine Optimization (GEO), the practice of tailoring digital strategies to optimize how AI models generate responses. Traditional search engine optimization upgraded the quest for organic ranking on indexed listings. GEO shifts the focus toward shaping the knowledge frameworks and training data that power AI responses at the moment of user inquiry.
A core insight guiding Akii’s innovation is that strong positioning in conventional search does not automatically translate into meaningful AI visibility. Generative models operate on different principles and training datasets. AI Engage addresses this reality by providing a direct mechanism for brands to engage AI systems, thereby influencing how models learn, recall, and prioritize brand information.
Competitive Landscape and Market Context
The market for AI visibility tools is rapidly expanding as brands scramble to maintain relevance in AI-driven discovery channels. Other platforms, such as Semrush, Ahrefs, and Surfer AI, are incorporating AI visibility features either by adapting traditional SEO tools or offering broad content optimization solutions. However, Akii distinguishes itself by being purpose-built for the unique demands of AI-facing discovery rather than retrofitting legacy SEO approaches into conversational AI contexts.
As one of the few platforms dedicated exclusively to AI visibility optimization, Akii’s AI Engage provides brands with specialized capabilities that anticipate the inevitable shift in search paradigms. This technological foresight affords early adopters a significant competitive edge, allowing them to influence AI model perspectives before these become entrenched and harder to change.
Strategic Implications for Brands
Despite the speed of AI adoption, most companies remain focused primarily on traditional search engine optimization, inadvertently neglecting AI visibility. This gap creates an opportunity to establish authority in AI search results during the formative stages of AI integration into consumer discovery.
Passive strategies—simply hoping content will be picked up by AI crawlers—are proving insufficient. Instead, brands must actively engage AI models, using repeated, contextually rich prompts to solidify their brand presence within AI-generated outputs. AI Engage enables such active engagement at scale, enabling a sustained influence on AI model training architectures.
A Timeline of Akii’s Advances
- November 2025: Akii released a comprehensive guide for its AI Search Intelligence Platform, introducing core tools including AI Visibility Monitor, Competitor Intelligence, and AI Engage.
- December 2025: The company launched AI Search Tracker, a competitive analysis platform illuminating how AI systems recommend brands and track where competitive visibility is gained or lost.
- Early 2026: AI Engage becomes broadly available, integrated with the full Akii platform, complementing AI Brand Audit and Competitor Intelligence solutions.
Looking Ahead
As AI-powered discovery increasingly dominates how consumers search and decide, platforms like AI Engage offer brands critical tools to shape their AI narratives. By enabling repeated, realistic interactions with generative models, Akii’s new platform helps ensure that brands not only appear but are accurately and effectively represented in AI-generated search outcomes.
For brands, the message is clear: AI visibility is no longer optional but essential. Those who invest in shaping AI understanding today will secure competitive advantages tomorrow, driving lasting engagement and preference in the rapidly evolving digital marketplace.
