Birdeye Launches Search AI
Search AI helps multi-location brands track searches, see how they appear, analyse AI engine content about them and competitors, and act autonomously to improve visibility, accuracy, sentiment, and engagement.
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Birdeye has announced the launch of Search AI, a platform designed to help multi-location brands manage GEO (Generative Engine Optimisation).
As AI engines like ChatGPT, Perplexity, and Gemini are reshaping how consumers discover and choose businesses, traditional SEO is no longer enough. Without GEO, a brand may disappear from AI answers, even if they invested heavily in SEO.
Search AI is built specifically for the AI era and runs on BirdAI, Birdeye’s native AI layer that supports the Birdeye platform.
Search AI ensures multi-location brands can see what their audiences are searching for, track how and when they’re being surfaced, understand what each AI engine is saying about them and their competitors, and act autonomously to boost visibility, accuracy, sentiment, and engagement.
“Brands can no longer afford to ignore GEO. The search experience has moved beyond traditional search engines. AI engines now decide what people see,” said Adam Dorfman, AVP of Product Management and AI Search at Birdeye.
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“Birdeye’s Search AI gives multi-location brands the power to optimise their visibility, sentiment and engagement across all platforms.”
AI engines decide what to surface based on a complex blend of public content, citations, brand sentiment, and user intent. Traditional SEO efforts remain foundational, but they don’t automatically translate into visibility in AI-generated answers.
Without an added focus on GEO, brands risk losing ground in AI search even if they’ve invested heavily in SEO.
“Traditional long-tail directory sites have been increasingly marginalised by Google. AI & Web search appear to rely more heavily on relevant recent content from community sites like Reddit, Quora, and niche forums, to generate personalised answers,” said Andrew Shotland, SEO Consultant at LocalSEOGuide.com.
Search AI is built for marketing teams managing hundreds or thousands of locations. It enables them to:
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- Analyse consumer prompts by brand, location, and keyword.
- Track brand’s visibility across AI Platforms and understand how they are performing vs their competitors — by platform, location, citation.
- Identify citations used by AI engines and monitor their share of voice.
- Audit the accuracy of AI-generated business data and brand descriptions.
- Monitor brand sentiment and themes in AI-generated content for you and your competitors.
- Benchmark rankings by themes and answers at a local and brand level.
- Suggest, create, and publish content that is designed for AI engines to consume.
As part of this launch, Birdeye is also introducing the Search Optimisation Agent, now in closed beta with select enterprise customers. The agent continuously analyses prompts, citations, and AI-surfaced answers, and can autonomously optimise a brand’s GEO with one-click approvals.
This release builds on Birdeye’s broader AI vision for multi-location marketing, first announced earlier this year. It marks a milestone in delivering on that promise of driving outcomes through autonomous agents.
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