Aeris

Aeris is an AI-native commerce platform designed to optimize and unify retail media, paid advertising, and AI-driven search visibility for e-commerce businesses. The platform leverages artificial intelligence agents to automate campaign management, bidding strategies, and product listing optimizations across multiple channels including retailer marketplaces (e.g., Amazon, Walmart), search engines (Google Ads, Bing), and emerging AI search interfaces (ChatGPT, Perplexity). By integrating data from these disparate sources, Aeris provides a centralized dashboard for analytics, actionable insights, and automated execution, aiming to maximize return on ad spend and improve organic discoverability in AI-powered search results. At its core, Aeris uses machine learning algorithms to analyze performance data in real time, adjusting bids, keywords, and product content to align with changing market conditions and search engine algorithms. For retail media, the platform manages sponsored product and brand campaigns, optimizing for conversion and profitability. For paid ads, it cross-references campaign performance with inventory levels and competitor activity. Aeris also addresses the growing importance of AI search visibility, helping merchants optimize their product feeds so that answers from generative AI models cite and recommend their products. Key features likely include automated rule-based and predictive bidding, AI-generated product descriptions tailored for different platforms, unified cross-channel reporting, and anomaly detection for ad spend. The platform is built to scale, serving both small-to-medium businesses and large enterprises looking to streamline their commerce advertising operations without dedicated data science teams. Aeris differentiates itself by its AI-native architecture, with intelligent agents that learn and adapt continuously, reducing manual oversight and enabling marketers to focus on strategy rather than day-to-day campaign adjustments. Its i

Category: AI Agent
Pricing: Unknown

Problem solved

E-commerce marketers and brand managers struggle with the increasing complexity of managing advertising across retail media platforms (e.g., Amazon Sponsored Products), paid search and social ads, and now optimizing for AI-powered search engines. These channels operate in silos, require constant manual adjustments, and demand expertise in data analysis and algorithm changes. Aeris solves this by deploying AI agents that unify campaign management, automate optimization decisions, and provide a single interface to track performance, ultimately saving time, reducing wasted ad spend, and increasing product visibility across the full digital commerce ecosystem.

Use cases

Automating bid adjustments for Amazon Sponsored Products campaigns to maintain target ACoS
Generating and A/B testing product titles and descriptions for enhanced visibility in ChatGPT product recommendations
Unifying performance reporting across Google Ads, Facebook Ads, and Walmart Connect into one dashboard
Detecting and pausing underperforming SKUs in paid search campaigns before budget depletion
Optimizing product listing content for AI-driven search engines like Perplexity to capture zero-click conversions
Forecasting inventory needs based on projected ad-driven demand spikes using cross-channel data

Audience

Business Users
Product Managers
Developers
Enterprise
Startups

Pros

AI-driven optimization reduces manual campaign work and improves ROI
Unified approach integrates retail media, paid ads, and emerging AI search channels
Scalable for businesses of various sizes
Actionable analytics and automated insights accelerate decision-making
Future-proofs e-commerce strategies for AI-powered search trends

Cons

Limited public information on pricing, integrations, and specific AI methodologies
May require complex initial setup and integration with multiple third-party advertising platforms
Effectiveness heavily depends on quality of input data and market volatility

Official website: https://tryaeris.ai/

Canonical LambdaBase page: https://www.lambdabase.com/tools/aeris

← Directory

Aeris

Unknown

• Updated Sep 1, 2026, 07:18 PM

Aeris is an AI-native commerce platform designed to optimize and unify retail media, paid advertising, and AI-driven search visibility for e-commerce businesses.

Use Cases ▼

Automating bid adjustments for Amazon Sponsored Products campaigns to maintain target ACoS

Generating and A/B testing product titles and descriptions for enhanced visibility in ChatGPT product recommendations

Unifying performance reporting across Google Ads, Facebook Ads, and Walmart Connect into one dashboard

Detecting and pausing underperforming SKUs in paid search campaigns before budget depletion

Optimizing product listing content for AI-driven search engines like Perplexity to capture zero-click conversions

Forecasting inventory needs based on projected ad-driven demand spikes using cross-channel data

What Problem It Solves ▼

Key Features ▼

✓

AI-driven optimization reduces manual campaign work and improves ROI

✓

Unified approach integrates retail media, paid ads, and emerging AI search channels

✓

Scalable for businesses of various sizes

✓

Actionable analytics and automated insights accelerate decision-making

✓

Future-proofs e-commerce strategies for AI-powered search trends

Overview

Full Description ▼

At its core, Aeris uses machine learning algorithms to analyze performance data in real time, adjusting bids, keywords, and product content to align with changing market conditions and search engine algorithms. For retail media, the platform manages sponsored product and brand campaigns, optimizing for conversion and profitability. For paid ads, it cross-references campaign performance with inventory levels and competitor activity. Aeris also addresses the growing importance of AI search visibility, helping merchants optimize their product feeds so that answers from generative AI models cite and recommend their products.

Key features likely include automated rule-based and predictive bidding, AI-generated product descriptions tailored for different platforms, unified cross-channel reporting, and anomaly detection for ad spend. The platform is built to scale, serving both small-to-medium businesses and large enterprises looking to streamline their commerce advertising operations without dedicated data science teams.

Aeris differentiates itself by its AI-native architecture, with intelligent agents that learn and adapt continuously, reducing manual oversight and enabling marketers to focus on strategy rather than day-to-day campaign adjustments. Its integration with AI search engines acknowledges the shift in how consumers discover products, future-proofing brands for a landscape where traditional SEO and paid placements converge with conversational AI.