Tipper2010

As any marketer or SEO knows, there’s a special satisfaction in seeing your hard work pay off in the form of snagging a top result on the SERPs. But in the age of answer engine optimization (AEO), search results don’t tell the full story. To gauge success, you need to learn how to track your brand’s presence in AI search — which introduces a new set of metrics, including mentions, citations, and share of voice.

AI search optimization is the practice of improving brands’ odds of being cited and mentioned by answer engines like ChatGPT, Gemini, and AI Overviews. The traffic it earns is small but high-intent. Across more than 1,200 publisher and news sites, visitors referred by AI tools signed up at roughly 11 times the rate of search visitors, according to a Microsoft Clarity study.

Scrunch vs Semrush comes down to one question: Do you need a dedicated AI visibility tool, or a full SEO suite that now tracks AI answers too? Scrunch is an AEO specialist built to monitor how your brand appears in AI-generated answers, while Semrush is a traditional SEO platform that added an AI Visibility Toolkit to a stack marketers already use for keyword research, rank tracking, and backlinks.

After years of working alongside CRM administrators, I’ve learned the single biggest difference between CRM platforms that drive revenue and ones that collect digital dust. The difference isn’t the software nor the budget, but the quality of the administration behind it.

If a brand is not visible in answer engines, it’s missing critical early-stage influence. According to McKinsey, 50% of consumers now use answer engines, and more than 70% rely on it to ask questions and gather information. That means a growing share of discovery occurs within AI tools and before users click through to websites.

As AI search reshapes how customers discover and evaluate brands, tools like Profound are gaining attention for helping marketers measure visibility within AI-generated answers. But, as budgets tighten, new AI visibility features emerge, and integration demands increase, many teams are actively seeking alternatives to Profound AI.