{"id":2261,"date":"2026-04-16T07:17:00","date_gmt":"2026-04-16T07:17:00","guid":{"rendered":"https:\/\/otterly.ai\/blog\/?p=2261"},"modified":"2026-04-23T16:18:49","modified_gmt":"2026-04-23T16:18:49","slug":"otterlyai-recommendations-data-to-done","status":"publish","type":"post","link":"https:\/\/otterly.ai\/blog\/otterlyai-recommendations-data-to-done\/","title":{"rendered":"New: OtterlyAI Recommendations \u2013 From Data to Done in AI Search"},"content":{"rendered":"\n

Written by Thomas Peham \u00b7 Last updated April 16, 2026<\/em><\/p>\n\n\n\n

This is Thomas, CEO at OtterlyAI. Today we’re launching Recommendations – and I’m not exaggerating when I say this is the biggest feature we’ve shipped since we started the company.<\/p>\n\n\n\n

Here’s why.<\/p>\n\n\n\n

The gap between insight and action<\/h2>\n\n\n\n

OtterlyAI already shows you where your brand stands in AI Search. Brand coverage across ChatGPT, Perplexity, Google AI Overviews, AI Mode, Copilot. Citation data. Competitor visibility. The data is there.<\/p>\n\n\n\n

But here’s what we kept hearing from customers.<\/p>\n\n\n\n

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I see the data. Now what do I do about it?<\/em><\/p>\n<\/blockquote>\n\n\n\n

That’s the gap. You know a competitor is getting cited for a topic you should own. You can see which websites are influencing AI responses in your space. But turning those insights into a concrete plan still takes work. You need to analyze the data, figure out what matters most, prioritize, and somehow keep track of what your team is actually doing about it.<\/p>\n\n\n\n

Recommendations closes that gap.<\/p>\n\n\n\n

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What Recommendations does<\/h2>\n\n\n\n

Recommendations analyzes your brand report data – your cited websites, successful competitors, mentioned brands – and gives you specific, actionable suggestions for what to do next.<\/p>\n\n\n\n

Not vague advice. Concrete next steps.<\/p>\n\n\n\n

Think of it this way: You notice that ChatGPT keeps citing a competitor’s guide on a topic your brand should own. Recommendations flags this, shows you why<\/em> they’re getting cited, and tells you exactly what content to create or which off-page signal to go after to close that gap.<\/p>\n\n\n\n

Every recommendation comes with clear reasoning. You see what data it’s based on and why it matters. No black box.<\/p>\n\n\n\n

How to use Recommendations<\/h2>\n\n\n\n

Head to any of your Brand Reports inside OtterlyAI. You’ll find a new menu entry called Recommendations.<\/strong><\/p>\n\n\n\n

You can filter and segment recommendations by:<\/p>\n\n\n\n

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  • Country<\/strong>: Which market do you want to optimize for?<\/li>\n\n\n\n
  • AI Search Engine<\/strong>: Get recommendations specific to ChatGPT, Perplexity, Google AI Overviews, or any engine you’re tracking<\/li>\n\n\n\n
  • Type<\/strong>: From prompt optimization to crawlability, Reddit presence, content partnerships, and more<\/li>\n\n\n\n
  • Area<\/strong>: Focus on on-page or off-page recommendations<\/li>\n\n\n\n
  • Impact:<\/strong> Prioritize by what moves the needle most<\/li>\n<\/ul>\n\n\n\n
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