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Addlly AI: AI Search Visibility Platform

Addlly AI helps enterprise marketing teams and brands manage their representation in AI-generated answers. It is designed for organizations that need to coordinate Generative Engine Optimization (GEO) across global markets.

At a glance

Category
Marketing
Best for
Enterprise marketing teams, Digital leaders, E-commerce brands, Global growth and performance teams, Marketing agencies
Pricing
Paid plans include a Standard Plan (20 Query Actions) and an Advanced Plan (50 Actions, with additional actions at $10 each). Enterprise plans are quoted separately. Buyers should confirm current pricing on the vendor website.
Key use cases
AI Visibility Auditing, Competitive Citation Analysis, Scaling Localized Content, Enterprise Brand Governance
Official website
addlly.ai/
Screenshot of Addlly AI website

Addlly AI is a platform designed to manage how a brand is interpreted and cited by generative AI engines such as ChatGPT, Gemini, Perplexity, and Claude. It focuses on Generative Engine Optimization (GEO) to help brands appear in AI-generated responses.

The tool is intended for enterprise digital leaders, e-commerce brands, and performance teams. It provides a workflow that includes auditing current AI visibility, planning improvements, and executing content updates using brand-trained AI agents.

Buyers should note that the platform offers both a software model and a managed service where specialists handle the GEO strategy. Because it is designed for enterprise scale, buyers should confirm if the action-based pricing tiers align with their volume of content updates and audits.

Key Features

Citation Forensics

Analyzes how LLMs cite sources to identify where a brand is mentioned and where competitors are referenced.

AI Visibility Tracking

Monitors brand representation and citation frequency across platforms including ChatGPT, Gemini, Perplexity, and Claude.

Generative Engine Optimization (GEO) Workflow

Provides a structured process to audit, plan, and execute content changes to improve how AI engines surface a brand.

Brand-Trained AI Agents

Customizable agents that use a company's proprietary data and tone to help generate SEO and GEO-optimized content.

Zero-Prompt Workflow

Supports automated visibility audits and content recommendations to reduce manual prompt engineering.

Multilingual Content Generation

Supports the creation of localized content to help brands seek citations in different global regions.

Use Cases

AI Visibility Auditing

Establishing a baseline of how a brand is currently represented across various LLMs and identifying gaps in coverage.

Competitive Citation Analysis

Benchmarking brand presence against competitors to see which content types are cited in AI answers.

Scaling Localized Content

Producing SEO and GEO-optimized product pages and blogs across different languages for global markets.

Enterprise Brand Governance

Centralizing the oversight of how a brand is represented across AI search engines through governed workflows.

Best For

Enterprise marketing teamsDigital leadersE-commerce brandsGlobal growth and performance teamsMarketing agencies

Pricing

Paid plans include a Standard Plan (20 Query Actions) and an Advanced Plan (50 Actions, with additional actions at $10 each). Enterprise plans are quoted separately. Buyers should confirm current pricing on the vendor website.

FAQ

What is Generative Engine Optimization (GEO)?

GEO is the practice of structuring content so that brands are cited, described, and recommended within AI-generated answers from platforms like ChatGPT and Perplexity.

Which AI engines does Addlly AI track?

The platform tracks visibility across several generative engines, including ChatGPT, Google Gemini (AI Overviews), Perplexity, and Claude.

Does Addlly AI handle both SEO and GEO?

Yes, it is designed to align traditional SEO with GEO by combining technical audits and structured data with AI-optimized content workflows.

Is the platform secure for enterprise data?

Addlly AI is SOC 2 Type II compliant and ISO 27001 certified, and states that customer data is not used to train third-party models.

Source category: Marketing

Source subcategory: SEO

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