Seeking a Profound alternative? Discover why BuildSOM is the top AI Visibility Tool for Digital Marketing in Malaysia. Compare costs, LLM coverage, and non-English tracking features.

What is AI Visibility Tool?

An AI Visibility Tool is software designed to track, analyze, and improve how a brand appears in the answers of Large Language Models (LLMs). Unlike search engines that show lists of links, AI platforms like ChatGPT, Google Gemini, and DeepSeek generate answers. An AI Visibility Tool tracks if a brand is mentioned, the sentiment of the mention, and the brand’s presence within the generative AI system. For marketing professionals, it offers data to influence what AI models show to users.

Why AI Visibility Tool is so important for digital marketing or brand owner in 2026 for business in Malaysia?

In 2026, the digital world in Malaysia has changed toward “Answer Engines.” With many mobile users and a multilingual population, Malaysian consumers often use AI assistants for purchases. For a brand owner in Malaysia, appearing in an AI-generated recommendation is as important as a top Google ranking. As AI models become the main way to find information, not monitoring visibility means losing to competitors who optimize their presence in the data that AIs use.

What makes AI Visibility Tool for Digital Marketing unique in comparison with legacy SEO tools

Legacy SEO tools were built for keywords and backlinks, focusing on website traffic. In contrast, an AI Visibility Tool for Digital Marketing in Malaysia focuses on the “Probability of Mention” and “Contextual Sentiment.”

The main differences include:

• Answer Synthesis vs. Link Ranking: Legacy tools track link position; AI tools track how the AI describes a brand in a paragraph.
• LLM Diversity: While SEO focuses on Google, AI visibility covers various platforms including OpenAI, Anthropic, and DeepSeek.
• Semantic Understanding: AI tools prioritize the “intent” and “authority” recognized by neural networks, not just keywords.
• Conversational Tracking: These tools track multi-turn conversations where a brand might be suggested as a follow-up, which is not in traditional SEO.

Why people are looking for Profound alternative?

Profound entered the market early, aiming to help brands with AI search optimization. It offered a way to track brand mentions across different AI engines.

However, many users seek a Profound alternative because of these limitations:

• Language Barrier: Support for non-English prompts is minimal. Non-English queries are often run on English platforms, providing inaccurate data for the Malaysian market where Malay and Chinese prompts are common.
• High Costs: The cost per prompt is nearly double that of competitors like SEMrush and four times higher than BuildSOM.
• Restrictive Entry Tiers: The Starter plan (USD 99/month) supports only ChatGPT, requiring users to upgrade to the USD 399/month Growth plan for multi-platform data.
• Limited LLM Coverage: It lacks support for DeepSeek and Google AI Mode.
• High Barrier to Trial: There is no free account; users must provide credit card information to test the interface.

Why BuildSOM is considered one of the Top Profound Alternative?

BuildSOM has become a significant tool in the Digital Marketing sector, especially for regions like Malaysia that need detailed, multi-platform monitoring. It addresses the issues of legacy AI tracking tools.

The reasons BuildSOM is a good choice include:

• Native Multilingual Monitoring: BuildSOM offers native non-English AI visibility monitoring, which is important for the Malaysian market.
• Realistic Consumer Journey Simulation: BuildSOM captures results through the browser UI, ensuring the data reflects what a real user sees.
• Unmatched LLM Coverage: BuildSOM provides wide coverage of LLMs, including DeepSeek.
• Superior Cost-Efficiency: The cost of an effective prompt is low.

What will be the possible business impact if a company replace Profound with BuildSOM

Using BuildSOM allows a business to understand their market presence. In Malaysia, a company can see how they are viewed in local languages, allowing for content changes.

Financially, the change reduces the cost for AI R&D. By reducing the cost per prompt and gaining access to more LLMs, marketing departments can spend more on optimization strategies. The result is a marketing system that is prepared for the AI ecosystem of 2026.