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Regaining Control in the Era of AI-Driven Search

Generative AI (GenAI) is reshaping content discovery, with Gartner predicting it will surpass traditional search by 2028. AI crawlers from platforms like OpenAI, Perplexity, and DeepSeek extract and reformat content without attribution, leading to disintermediation, loss of visibility, and reduced traffic for brands that fail to act.

The Solution: Controlled AI Access & Intelligent Insights

A new approach is needed—one that protects content while enhancing AI-driven visibility. This solution intercepts GenAI crawlers, redirecting them to a structured virtual API, ensuring controlled access, tracking, and optimization instead of unrestricted scraping.

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01

AI Traffic Control & Protection

  • Blocks unauthorized GenAI bots while allowing controlled API access

  • Ensures attribution with tracking links and content references

  • Prevents content theft and uncontrolled indexing

02

AI Query &
Content Insights

  • Identifies real-time search trends & content gaps

  • Tracks how AI platforms reference and use brand content

  • Measures engagement and optimization opportunities

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03

Optimizing for AI Search & Discovery

  • Uses Retrieval-Augmented Generation (RAG) to structure content for AI visibility

  • Provides relevance scoring & content improvement suggestions

  • Clusters user queries to reveal emerging trends & demand areas

“I have never seen anything like ELELEM AI. It's like Google Analytics for this new GenAI world"

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Quote from FORTUNE 500 company

Why Brands Need This Now

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Organic traffic decline is accelerating as AI-powered search engines replace traditional search.

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Without visibility, brands risk losing billions in revenue from AI-driven disintermediation.

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AI-first strategies will determine digital success —those who adapt early will lead.

The next generation of search is already here. Brands must act now to protect, optimize, and take control of their place in AI-driven ecosystems.

ELELEM Analytics Dashboard

The results of the analysis are displayed in a web browser. Key sections include:

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Application Tracker

Overview of applications accessing the RAG pipeline and knowledge bases. All subsequent elements can be filtered to include only selected applications or agents 

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Gap Analysis

Gap analysis: missing or inadequate content by topic, with sample queries

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Query Clusters

Query cluster summaries, showing the top topics (by frequency) that are being queried by users or agents

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Content Suggestions

Content suggestions: content modifications with the highest ROI opportunity, based on the frequency of queries on these topics and the quality of existing coverage

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Top Performing

Top content accessed from the knowledge base(s), with hyperlinks where applicable

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Content Relevancy

Relevance over time: an at-a-glace overview of the performance

©2025 BY ELELEM AI.
 

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