ThirdEye and the rise of AI‑driven search

Thirdeye provides AI-search analytics for performance oriented marketing teams. Unlike classic search‑engine tools that chase organic rankings, it focuses on how large language models (LLMs) such as ChatGPT, Claude, Gemini and Perplexity mention and cite brands.

The platform monitors brand mentions across these models in real time, analyses sentiment and provides prompts showing how and where the brand is being referenced. It also sends real‑time alerts when a brand is cited by an AI model and offers competitor monitoring to identify positioning gaps.

Thirdeye as one of the most-advanced AI analytics and recommendation platform that helps brands get discovered not just on Google but “inside ChatGPT, Claude, Gemini and Perplexity,” emphasising that if you aren’t cited by AI models “you’re not seen.” They frame AI citations as the new visibility metric and propose that Generative Engine Optimization (GEO)—optimising content so AI assistants recommend your brand—will define the next wave of search.

Why ThirdEye exists

• The market shift

The AI‑search market is exploding, projecting growth from USD 43.63 billion in 2025 to USD 108.88 billion by 2032. The conversational AI platforms such as ChatGPT, Claude and Gemini are becoming the new homepage for information, so brands must optimise for visibility across these models.

This shift is supported by wider industry data: according to Nowspeed’s guide on AEO vs GEO, up to 47 % of searches now feature AI‑generated overviews, and 58.5 % of searches end in zero‑clicks. In other words, people increasingly get answers directly from AI or from featured snippets without clicking through to a website.

From SEO to AEO and GEO

Traditional SEO aimed to get pages ranked in search results. Answer Engine Optimization (AEO) goes a step further: it structures content so search engines can directly answer user questions. AEO emerged as Google started showing featured snippets and knowledge panels; success requires writing concise answers, using lists and tables, and establishing expertise.

Generative Engine Optimization (GEO) adapts these principles to AI‑driven search engines such as ChatGPT Search and Perplexity AI. In GEO, the goal is to ensure your content is recognised by AI models and cited in their generated responses. GEO therefore involves entity optimisation, credibility signals and multi‑platform visibility across various LLMs.

Thirdeye was built because the team recognised that marketers need visibility within these AI engines. The founder’s posts highlight a belief that “AI is the new homepage” and that winning in the AI era means being trusted and cited by generative models. Thirdeye is designed to give brands the tools to understand and improve their presence within AI answers.

What Thirdeye offers

Here is a breakdown of the key features of Thirdeye :

1. Real‑time monitoring across multiple AI models – Thirdeye monitors when and how your brand appears inside AI-generated answers. It tracks both citations (linked sources used by ChatGPT, Claude, Gemini, Perplexity, etc.) and mentions (informal references without links). This gives you a clear picture of your brand’s visibility, authority, and share-of-voice across AI engines — and how it shifts after campaigns or competitor activity.

2. Dynamic prompts and brand ranking – The platform helps users discover which prompts cause an LLM to mention their brand, see where they rank, and identify the sources of those mentions. This feature surfaces your brand’s ranking within AI responses relative to competitors and highlights the type of content that drives citations.

3. Real‑time alerts and competitor comparisons – When your brand appears in an AI citation, Thirdeye sends instant alerts via email, Slack or webhooks. You can also monitor competitor mentions and perform side‑by‑side comparisons to spot positioning gaps.

4. Sentiment analysis and strategic insights – Thirdeye analyses the emotional tone of each AI mention, helping teams tailor messaging and address issues early. It provides dashboards showing AI‑generated answers and brand positioning and points out that brands with strong AI presence see up to ten times more mentions.

5. Automation and productivity – The system automates prompt monitoring and alerting, cutting an estimated 80 % of manual work so teams can focus on strategy.

6. Built for the AI‑search evolution – Thirdeye argues that AI answers are replacing traditional search. The platform is designed to help brands “rank where AI responses dominate” by optimising for AEO and GEO.

7. Proactive risk control – Thirdeye identifies inaccurate or misleading AI responses about your brand and gives you a chance to correct them, curbing negative sentiment.

8. Comprehensive competitor tracking – The platform tracks competitor mentions alongside your own brand so you can find performance gaps and identify opportunities in AI citations.

9. AI Recommendation Engine: ThirdEye’s AI Recommendation Engine analyses your website content through the lens of AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). It checks if your pages are structured and worded in a way that makes them suitable to appear as reliable sources inside AI-powered answers and generative summaries

The evolving landscape of AEO and GEO

Answer Engine Optimization and Generative Engine Optimization are rapidly evolving disciplines. Nowspeed’s guide notes that AEO originally referred to earning featured snippets and knowledge panel inclusions on Google. It relies on structuring content around common questions, using clear formatting and demonstrating expertise. Generative Engine Optimization builds on AEO but extends it to generative AI platforms.

GEO focuses on ensuring your content is included in AI‑generated summaries by training models to recognise your brand as a trusted source. It also highlights that the underlying principles overlap — both require comprehensive question coverage, structured content for easy extraction, entity optimisation and strong credibility signals.