How ChatGPT Decides What to Recommend (And How to Influence It)

How ChatGPT Forms Recommendations

ChatGPT's recommendations come from three sources:

1. Training data — Content from the web that was included in the model's training dataset. Older, well-established brands have an inherent advantage here.
2. Web browsing — With browsing enabled, ChatGPT searches the web in real-time and incorporates fresh results.
3. Pattern recognition — The model learns patterns from its training data: which products are frequently recommended together, which have positive sentiment, which appear on authoritative sites.

What Influences ChatGPT's Choices

• Frequency of mention — Products mentioned frequently across many sources are more likely to be recommended
• Authoritative sources — Recommendations from well-known review sites, media outlets, and industry blogs carry more weight
• Positive sentiment — Products with consistently positive mentions rank higher in recommendations
• Specificity — Products described with specific features and use cases are recommended more precisely
• Recency — For browsing-enabled queries, recent content is preferred

How to Get Recommended

1. Get mentioned on authoritative third-party sites (guest posts, reviews, press)
2. Create comparison content that positions your product fairly against alternatives
3. Build a comprehensive content library around your product category
4. Maintain positive sentiment across review sites and forums
5. Keep your website content clear, factual, and up-to-date