Using ChatGPT or Claude for Amazon Analysis: Powerful, But It Still Needs Human Judgement

Can ChatGPT or Claude Really Help You Run an Amazon Business?

Absolutely.

I use AI increasingly when analysing Amazon data because it can do something extremely valuable:

Process large amounts of information very quickly.

Give tools such as ChatGPT or Claude a PPC Search Term Report, Search Query Performance data or keyword research and they can help identify patterns that would take considerably longer to find manually.

But there's an important distinction.

AI can analyse the data. It doesn't automatically understand your business.

That's where human judgement remains essential.

Having spent more than 10 years working with Amazon, including running my own brand before moving into consultancy and coaching, I don't view AI as a replacement for Amazon expertise.

I see it as something that can make experienced decision-making faster and better.

Where AI Can Be Extremely Useful

One of the biggest opportunities is PPC analysis.

A Search Term Report might contain thousands of rows. AI can help identify:

• High-spend search terms with no sales
• High-converting searches
• Unusually high CPCs
• Strong CTR but poor CVR
• Keywords worth harvesting
• Potential negative keywords
• Campaigns consuming disproportionate budget

Instead of spending hours manually filtering spreadsheets, I can get to the areas that deserve investigation much faster.

But I still wouldn't automatically implement every recommendation.

The Difference Between Analysis and Decision-Making

Imagine AI identifies:

Keyword A – ACoS 48% – recommendation: reduce bid.

Sounds sensible.

But what if:

• It's a brand-new product?
• The keyword is strategically important?
• Organic ranking has climbed from position 35 to 9?
• TACoS is falling?
• The product has a 55% margin?
• We're intentionally running a ranking campaign?

Suddenly 48% ACoS doesn't automatically mean:

Reduce the bid.

Context changes the decision.

That's one of the biggest limitations of blindly following AI-generated recommendations.

Using AI for Amazon Keyword Research

AI can also help enormously with keyword research.

For example, I can provide:

• Search Query Performance data
• Search Term Reports
• Competitor keyword exports
• Existing listing copy

and ask AI to:

• Group keywords by search intent
• Identify themes
• Find long-tail opportunities
• Separate features from benefits
• Generate customer questions
• Find PPC keyword opportunities

It's particularly useful for making huge keyword lists easier to understand.

But again, I'd still validate:

Search volume, relevance, buying intent and commercial value.

AI might produce a wonderfully structured keyword cluster around a phrase that barely generates any Amazon demand.

That's why I don't outsource judgement.

Search Query Performance Is Particularly Useful With AI

Amazon's SQP data can become very large. AI can help answer questions such as:

• Which queries have high Amazon demand but weak brand share?
• Where do we receive impressions but struggle to win clicks?
• Which searches get clicked but don't convert?
• Where is purchase share stronger than impression share?

That changes AI from a writing tool into an analysis assistant.

AI Can Also Help With Listings

For listing work, I find AI useful for:

• Organising keyword research
• Analysing competitor positioning
• Turning features into benefits
• Identifying missing use cases
• Reviewing clarity
• Creating alternative copy structures

But I'd be very cautious about giving AI 50 keywords and saying:

“Write me an Amazon listing.”

That's how you end up with generic copy that technically contains keywords but doesn't properly sell the product.

The better process is:

Research → Strategy → AI assistance → Human review → Final optimisation

The Quality of the Prompt Matters

If your prompt is:

“Analyse my Amazon PPC.”

the output will probably be fairly generic.

A better request might specify:

• Product
• Margin
• Break-even ACoS
• Current lifecycle stage
• Target TACoS
• Sales objective
• Stock position
• PPC strategy

Then ask AI to analyse the data within those constraints.

Good AI analysis requires good inputs.

The Biggest Risk: Confidence Without Context

AI can explain an answer extremely confidently.

That doesn't necessarily make the answer commercially correct.

That's why I believe the sellers who benefit most from AI will be the ones who understand the Amazon fundamentals themselves.

You need to be able to look at the recommendation and ask:

Does this actually make sense?

Where I Can Help

This is increasingly part of the Amazon consultancy and coaching work I do. I can help sellers:

• Structure Amazon data for AI analysis
• Build useful prompts
• Analyse PPC reports
• Analyse SQP data
• Interpret AI recommendations
• Turn findings into a realistic action plan

I'm positive about AI. But I combine it with real Amazon experience rather than allowing it to replace experience.

That's where I believe the real advantage lies.