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PARTLY

As of 13 August 2026, AI can only partly find gaps in your competitors' product offerings.

This still needs a person who signs their name to it.

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsPerplexity is an AI answer engine with cited sources for research questions, while Rows is a spreadsheet with built-in AI analysis and live data connections.

If this goes wrong: you mistake a missing feature for a real customer need and spend product time serving a market that does not exist.

What to actually do

  1. Hand it to a person

    The route this page recommends

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

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open the current product pages, pricing pages, help centres and integration pages for each competitor, then save the URLs and copy the relevant text into one document.
    2. Gather recent customer reviews, support discussions, comparison pages and your own sales or support notes, removing confidential customer information before pasting them into the same document.
    3. Write down your product, target customer, market, price range, delivery constraints and the customer problem you are trying to solve.
    4. Paste the source document and your product context into a chatbot with the supplied prompt, asking it to distinguish verified facts from hypotheses.
    5. Export the proposed gaps into a table with columns for evidence, source URL, affected customer, competitors covered, confidence, missing evidence and suggested research test.
    6. Open each cited source and compare it with the table, correcting unsupported claims and marking information that is stale, inaccessible or contradicted.
    7. Discuss the shortlist with a colleague who knows your customers, then test the leading hypothesis through customer interviews, sales conversations or a small landing-page or prototype experiment before committing development work.

    Prompt

    Act as a product strategy researcher. Find possible gaps in the product offerings of these competitors: [COMPETITOR NAMES]. We operate in [MARKET, COUNTRY OR CUSTOMER SEGMENT], and our product is [PLAIN DESCRIPTION OF OUR PRODUCT]. Our target customers are [CUSTOMER DESCRIPTION], and our constraints are [PRICE, DELIVERY, TECHNOLOGY, REGULATORY OR OTHER CONSTRAINTS].
    
    Use only the competitor information and sources I provide, plus clearly identified public sources that you can access. Separate verified facts from interpretation. For each competitor, compare the target customers, core jobs, features, pricing, packaging, integrations, onboarding, support and important exclusions. Identify possible gaps as specific customer problems or underserved segments, not merely missing features.
    
    For every proposed gap, provide:
    1. The evidence and direct source links.
    2. Which competitors do and do not address it.
    3. The customer who may experience the problem.
    4. Why the gap might matter commercially.
    5. What evidence is missing or could disprove it.
    6. A confidence rating of low, medium or high, with a reason.
    7. A low-cost research test we could run before building anything.
    
    Do not claim that a gap is a proven opportunity. Do not invent features, customer opinions, market sizes, prices or competitor intentions. Flag stale, inaccessible, contradictory or weak sources. End with a ranked shortlist of the three most promising hypotheses and the questions I must answer myself before acting.

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

What it gets wrong

  • AI cannot tell you whether an apparent missing feature reflects weak demand, deliberate positioning or a difficult delivery constraint.
  • It cannot reliably access private competitor roadmaps, internal sales information, closed customer communities or data hidden behind logins.
  • It cannot prove that customers will pay for a proposed solution from public evidence alone.
  • It compresses different customer segments and markets unless you supply enough context to keep them separate.
  • It cannot take responsibility for choosing which opportunity your team should pursue.

What caps this at PARTLY: judgement under ambiguity, verification cost and context depth.

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 AI identify gaps in competitor products?
Yes, it can identify plausible gaps by comparing public features, pricing, customer complaints and target segments. Treat the result as a shortlist of hypotheses, not proof that demand exists.
What information does AI need to analyse competitor offerings?
Give it current product pages, pricing, help documentation, review material and your own product and customer context. It needs source links and clear market boundaries because missing or stale information produces misleading comparisons.
Can AI tell me which competitor gap I should build?
Not reliably on its own. It can rank hypotheses against the evidence you provide, but you need customer conversations and a small market test to establish whether the gap is valuable and commercially practical.
How do I check an AI competitor gap analysis?
Open every cited source and compare the claims with the current page, then separate facts from interpretation in your working table. Ask someone with direct customer or market knowledge to challenge the assumptions before you fund a build.

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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