Getting Started with AI Search Analysis
With the rise of AI-powered shopping assistants like ChatGPT, how your products are found and presented is evolving. PX Insights is your essential tool to understand and optimize your product performance in these new digital landscapes.
It empowers you to gain unprecedented insights into how AI platforms interpret, describe, and recommend your offerings. Whether you're a retailer focused on maximizing product visibility and driving AI-driven recommendations, or a manufacturer ensuring consistent brand messaging and optimal product positioning, PX Insights delivers tailored value to meet your strategic goals.
Key Capabilities include:
- Simulate Real-World AI Shopping Queries: Run accurate simulations of how customers search for products on leading AI platforms (starting with ChatGPT).
- Evaluate AI Product Visibility: Understand precisely whether your product appears in AI search results, and get a clear explanation of why it does or does not.
- Benchmark Against Competitors: Compare your product's AI visibility directly against similar or competing products to identify market opportunities and gaps.
- Receive Actionable Optimization Suggestions: Get concrete, data-driven recommendations to improve your product descriptions, content, and overall strategy for enhanced AI discoverability.
The process is straightforward and consists of two main steps:
- Generate AI Search Queries: Define the scope of your analysis and let AI generate relevant search queries for your selected products. (starting with ChatGPT)
- Analyze the Results: Review a detailed report showing your product's rank, competitive landscape, and suggestions for improvement.
Step 1: Generate search queries
Product selection
To begin your analysis, you must first select the products you want to analyze.
- Start from the Product Grid
- Select the products you want to analyse (maximum 20 products or 20 variants or 20 product models)
- Then select the PX Insights analysis button at the bottom of the page
You will automatically be redirected to the PX Insights use cases where you can select search queries configuration.
Parameters definition
To ensure an accurate analysis that matches your analytical goals, you'll need to define two main parameters: Business Type and Locale.
Business Type
This parameter determines the scope of the sales channels included in the analysis.
- Manufacturer: Select this if you want to analyze how your product ranks across all channels where it might appear. This provides a broad overview of your product's visibility regardless of the sales platform.
- Distributor: Choose this option if you want to focus the analysis on how your product ranks within a specific set of channels that you manage or own. You can specify up to five channel names (e.g., "Amazon," "Best Buy," "Walmart.com"). Do not include full URLs, just the channel names.
Locale
The Locale parameter is crucial because search results can vary significantly based on the consumer's geographical location and the language used. Defining the locale allows you to simulate a mock consumer's environment, ensuring the analysis is relevant to specific regional or linguistic contexts. For example, a search query from France might yield different results than the same query from the US, even if the language is the same. Similarly, the language used for the query (e.g., French vs. English) will influence the results.
Once the checkbox is selected and the parameters defined, you can click the Launch AI Analyze button.
ChatGPT is running in the background to generate search queries.
Review and Refine generated Search Queries
Once the AI has generated the queries, you can review or edit them to ensure they align perfectly with your analysis goals.
To edit a query, click the pencil icon, make your changes, and click the save icon.
When you are satisfied with the list of queries, click the Confirm button to begin the full analysis.
The analysis runs in the background and may take some time to complete. You will receive a notification in your PIM notification panel once it's ready.
ChatGPT 5o is the model used to process the analysis.
The analysis is done in the background and can take some time. You will receive a notification once it is complete in your PIM notification panel.
Step 2: Analyze Your Results
Accessing the Analysis Report
To access the AI-Generated results, go to the Activity dashboard accessible from the main menu > PX Insights Dashboard > AI Discovery tab
You will get the list of all the analysis you ran with the initial context provided: Business type & Locale selected.
To see more details about the analysis, select the Expand icon on the right.
Detailed analysis
The detailed analysis report provides a comprehensive breakdown of your product's performance for each search query.
AI Search Rank & Overall Summary
The first insight you will get is the AI Search Rank, it means the ranking of your product for a given search query.
The product ranking is done with a maximum of 5 products.
You will also get an Overall summary on why you product has been ranked that way and some key points below to get more details.
Competitive Landscape
On the right hand side, you will get a list of competitive products and how they ranked for a similar search query. You can even see what are the sales channels that have been advertised by ChatGPT to purchase this product.
Suggested Actions
Our AI Discovery tool categorizes improvements into four distinct pillars, distinguishing between PIM-driven data enhancements and external authority signals.
1. Product Data Suggestions (PIM-Based)
This section focuses on the accuracy and completeness of your core product attributes by auditing your PIM product data against AI search standards. Because AI assistants rely on rich and consistent text-based data—such as detailed descriptions—to accurately understand and surface your items, Product Content Managers must ensure these fields are fully enriched. Optimizing these records directly within the PIM ensures AI assistants can confidently match your products to specific user queries.
2. New Attribute Suggestions (PIM-Based)
Beyond individual records, this section highlights how your product data is structured behind the scenes. AI engines require structured, machine-readable fields to compare specifications and filter results effectively; therefore, PIM Admins may need to adjust the PIM schema to include these new, suggested attributes. By refining the data model and standardizing these fields at the administrative level, you create a robust foundation for AI to navigate and recommend your entire catalog based on modern search intents.
3. Marketing Suggestions
This pillar evaluates how your product is positioned and differentiated across various digital touchpoints. AI language models analyze core messaging, competitive advantages, and trust signals (like warranties) to determine brand authority—tasks typically driven by Content and Marketing teams. By ensuring consistent and compelling positioning across all channels, these teams help AI assistants confidently recommend your products as the premier choice for specific buyer intents.
4. Technical Suggestions
This final section covers the technical foundation of your product pages across the web, where AI search engines look for unambiguous signals like canonical URLs and consistent identifiers. To prevent "entity confusion" between different versions of a product, Web Developers or Technical SEO/GEO Experts must maintain a clean technical structure. These updates resolve duplicate entities and consolidate ranking power, ultimately strengthening your product’s overall authority and discoverability.
Sources
For full transparency, the report includes the sources that the AI used to generate its analysis and ranking.
This content is based on AI outputs. Since this content may be incomplete or inaccurate, please validate these outputs to ensure they are accurate and complete before using it.
To strengthen this analysis, Akeneo utilizes a trusted third-party service to access and retrieve publicly available structured data (Schema.org) from the Product URLs belonging to the client own company. This process is strictly limited to "read-only" access of publicly indexed metadata and does not involve the collection of personally identifiable information (PII) or modifications to the User's domain. By using this feature, the User acknowledges and consents to the temporary processing of these public URLs by our designated sub-processor for the sole purpose of product data analysis.
Akeneo only audits URLs belonging to the client own company. Unauthorized scraping of third-party or competitor domains is prohibited.
Analysis is currently available in English only, regardless of the language used for the search query.
Step 3: Analyze and Optimize at Scale
Get a prioritized summary of suggested actions through our new aggregated dashboard, allowing you to identify high-impact tasks at a glance.
Filter your view by:
- Country
- Product Family
- Suggestion Type
- Date Range
The analysis may take up to 10 minutes to complete depending on the volume of data.