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PARTLY

As of 13 August 2026, AI can only partly recommend products to your customers.

Most people should hand this to a purpose-built tool.

Can you do it?

15 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0/month

Skill neededpower-user

Who has to check ita colleague

What the alternative costsA human sales adviser remains the alternative when a customer's needs are unclear or the recommendation carries significant consequences.

If this goes wrong: the system recommends an unsuitable or unavailable product, the customer loses trust and your business may need to refund, replace or investigate the sale.

What to actually do

  1. Use a tool built for this

    The route this page recommends

  2. Hand it to a person

    Second choice

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  3. Do it yourself

    The distant third

    A chat interface, power-user skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open your current product catalogue, price list, stock information, delivery terms, returns policy and eligibility rules, and remove any outdated versions.
    2. Paste those documents into a test workspace in a purpose-built chatbot tool, keeping product names, prices, availability and restrictions clearly labelled.
    3. Add the prompt above and replace each bracketed slot with your business name, current source material, rules and a sample customer message.
    4. Ask the chatbot to recommend products for several common customer needs, including one case where the customer gives too little information.
    5. Compare every product, price, feature, availability statement and policy reference in the replies against the current catalogue and rules before enabling customer access.
    6. Set the chatbot to ask for a staff handover when information is missing, products are unavailable, requirements conflict or the customer challenges the recommendation.
    7. Publish the chatbot only after a colleague has tested the recommendation flows, then send it the same catalogue and rule updates whenever those sources change.

    Prompt

    You are a product recommendation assistant for [BUSINESS NAME]. Use only the catalogue and business rules supplied below. Do not invent products, prices, stock levels, features, delivery times, discounts, guarantees or customer outcomes. If a required fact is missing or may have changed, say so and ask a member of staff to check it.
    
    Your job is to help a customer choose from the available products. Ask no more than three short questions about their needs, budget, intended use, important constraints and preferences before recommending anything. Recommend up to three products only when the supplied information supports them. For each recommendation, give the product name, current supplied price, the specific customer need it matches, one limitation or trade-off, and the exact catalogue passage or product field supporting it. Do not claim that a product is the best choice unless the rules explicitly establish that. If the customer has unusual, unclear, sensitive or conflicting requirements, do not guess: explain what is missing and offer a handover to a member of staff. Never pressure the customer or present a recommendation as professional advice.
    
    CATALOGUE:
    [PASTE THE CURRENT PRODUCT CATALOGUE HERE]
    
    BUSINESS RULES:
    [PASTE ELIGIBILITY, RETURNS, DELIVERY, STOCK, DISCOUNT AND ESCALATION RULES HERE]
    
    CUSTOMER MESSAGE:
    [PASTE THE CUSTOMER'S MESSAGE HERE]

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • It cannot know that stock, prices, delivery promises or product specifications have changed unless those sources are connected and maintained.
  • It cannot reliably infer an unstated need from a short or ambiguous customer message.
  • It cannot take responsibility for whether a recommendation is suitable for the customer or fair for your business.
  • It can produce a plausible explanation for a weak recommendation, so a colleague still needs to test the outputs against the catalogue and business rules.

What caps this at PARTLY: real time truth, context depth and judgement under ambiguity.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs1
Verification1
Liability1
Effort delta2
Total7 / 10

FAQ

Can ChatGPT recommend products to my customers?
Yes, it can compare a catalogue with a customer's stated needs and produce a shortlist. It should use current business data, show the reasons and limitations, and hand over when the customer's needs or the product facts are unclear.
Can AI recommend products based on my website?
Yes, a chatbot can use your website and product documents as its source material. That does not guarantee current stock, prices or suitability, so you must maintain the source content and test recommendations before publishing them.
How do I stop an AI chatbot recommending the wrong product?
Give it a current catalogue, explicit eligibility and escalation rules, and instructions not to guess missing facts. Compare its recommendations with your live product information, then route unclear or conflicting cases to a staff member.
Which AI tool can recommend products on my website?
Voiceflow is a suitable option for building and launching a production support agent that can ask questions and apply recommendation rules. Botpress, Landbot and Tidio also support customer-facing AI chatbot workflows, but the quality still depends on your catalogue, rules and checking process.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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