Competitor research with AI

Every membership competes with something: another membership, a course, a free channel, a local class. Knowing what those alternatives offer, charge and promise helps you price sensibly, explain your difference and spot needs nobody is meeting. Most owners do this research once, before launch, then never again, because it is slow to do properly.

AI can speed it up considerably. It can help you find competitors, summarize their public pages, sort through reviews and compare offers side by side. It can also get things wrong with great confidence, so this is a workflow where checking matters as much as asking.

Decide what you want to learn

Competitor research without a question tends to produce a long document nobody uses. Pick two or three questions before you begin, such as:

• How do others in my niche price, and what is included at each level?
• What do they promise, and to whom?
• What do their members or customers complain about?
• Which audiences or problems is nobody serving well?

Rafael runs a membership for wedding photographers who want to book more clients. His question was simple: why would a photographer choose his membership over the big-name course everyone in the industry seems to buy?

Build the list with web-connected tools

Assistants with web access, such as Perplexity or the web-search modes in the major chat assistants, are useful for building an initial list, because they search as they answer and show their sources.

List memberships, courses, communities and free resources that help [describe your audience] with [problem]. Include paid and free options, large and small. For each, give the name, the web address, the format, the price if publicly listed, and the source you found it on. Mark anything you are not sure is still active.

Treat the list as leads to check, not facts. AI tools sometimes list businesses that have closed, mix up similar names or state old prices. Visit every site yourself. Also add what the AI cannot find: the Facebook group everyone mentions, the local mentor, the podcast your members quote.

Summarize their public pages in a consistent format

Once you have a verified list, look at each competitor's public sales page. Copy the text of the page and ask for a structured summary, so every competitor is described the same way.

Here is the text of a competitor's public sales page: [paste page text]. Summarize it under these headings: who it is for, the main promise, what members get, price and plans, proof offered, the tone of voice, and anything notable that is missing. Quote the page directly for the main promise. Do not add information that is not on the page.

Put the summaries in a spreadsheet, one row per competitor. Patterns appear quickly. In Rafael's niche, nearly every offer promised “more bookings” and focused on social media marketing. Very few said anything about the sales conversation after an inquiry arrives, which is where his own members said they struggled most. That gap became central to his positioning and messaging.

Read what their customers say

Public reviews, forum threads and social comments tell you what competitors' customers love and resent. Gather public comments into a document and ask the AI to cluster them.

Below are public reviews and comments about [competitor or type of offer]. Group them into themes, separating praise from complaints. For each theme, give two or three representative quotes word for word and note roughly how often it appears. Then list the unmet needs these comments suggest.

Check a sample of the quotes against the originals, and remember that reviews skew toward the very happy and the very annoyed. Compare what you find with what your own members say; finding your members' own words shows how to gather that side.

Look at their search presence too

Which topics do competitors write about publicly, and which searches do they seem to target? AI can suggest likely topics from their article titles, but real data comes from checking search results yourself or using an SEO tool. Any traffic or keyword figures an AI chat gives you about a competitor are guesses unless they come from a real data source, so verify them. Keyword research with AI tools covers how to check.

Learn from them without copying them

Competitor research is for understanding the market, not for borrowing. Do not paste a competitor's page into AI and ask for “a version for me”; the result will be derivative at best and may reuse protected wording at worst. Copyright and fair competition rules vary, so if you are unsure, check with a qualified professional. Do not sign up for a competitor's membership under false pretenses or share their paid materials with an AI tool. And keep your summaries internal.

A person reviews the final analysis before any decision is made on it, checking that prices, features and quotes are accurate and current. Markets change, so date your spreadsheet and plan to refresh it. For the non-AI side of this work, researching competing memberships without copying them is a good companion.

Your next steps

1. Write down two or three questions you want the research to answer.
2. Build a list with a web-connected assistant and verify every entry yourself.
3. Summarize each public sales page in the same format in a spreadsheet.
4. Cluster public reviews to find complaints and unmet needs.
5. Note the gaps where your membership is genuinely stronger.
6. Review the findings, decide one change to your offer or message, and refresh the research every six months.