# Emergence of AI visibility and optimization tools > Live situation record from CLSTR: https://clstr.news/situations/emergence-of-ai-visibility-and-optimization-tools > Updated: 2026-08-28T12:01:00.000Z. Sources: 2. Developments: 2. A new sector of technology focused on ‘AI visibility’ is emerging to help businesses monitor how large language models and AI assistants cite, rank, and recommend their brands to consumers. Initially, established technology firms like Cloudflare and Microsoft introduced tools to address this need. Cloudflare expanded its Answer Engine Optimization (AEO) Suite with a visibility dashboard to observe crawl and referral activity, while Microsoft Clarity introduced features to distinguish between branded and non-branded AI queries. Following these developments, specialized startups have entered the market. ShouldEye launched a platform to track how AI models evaluate companies and identify data gaps, while Evertune secured $19 million in funding to develop an ‘AI Brand Index’ designed to measure brand presence across multiple models and facilitate advertising within AI interactions. ## Timeline ### 2026-08-28: AI visibility tools emerge to track brand presence in model responses New platforms like ShouldEye and Evertune are emerging to manage 'AI visibility,' helping businesses track and optimize how AI models describe and recommend their brands to consumers. 2 sources. https://clstr.news/cluster/ai-visibility-tools-emerge-to-track-brand-presence-in-model-responses ### 2026-08-07: Cloudflare and Microsoft launch tools to track AI assistant visibility Cloudflare launches an AEO Visibility Dashboard to track AI assistant recommendations, while Microsoft Clarity introduces tools to differentiate between branded and non-branded AI queries. 2 sources. https://clstr.news/cluster/cloudflare-and-microsoft-launch-tools-to-track-ai-assistant-visibility --- Cite as: Emergence of AI visibility and optimization tools. CLSTR, https://clstr.news/situations/emergence-of-ai-visibility-and-optimization-tools