Find Customer Questions.

Ask a business owner what their customers are confused about and they will tell you something they heard in one client call six months ago. Ask a marketer what objections they face and they will recite the company FAQ — the one written by a copywriter who has never spoken to a customer.

The gap between what businesses think their customers want to know and what customers actually want to know is enormous. And it costs money. Blog posts that nobody reads. Ads that generate impressions but no clicks. Sales pitches that address the wrong objections.

The real data exists. Reddit has hundreds of millions of posts across tens of thousands of communities. Every niche has a subreddit. Every industry has a forum. Every customer segment has a thread where they ask the questions they are too embarrassed to ask a salesperson.

The problem is access. Reading Reddit at scale is either manual and exhausting or requires API credentials and data engineering skills that most business owners don't have.

Find Customer Questions solves this by doing the research automatically — and delivering the output in a format that is immediately useful for content strategy, sales preparation, and product positioning.

The tool chains two operations: live data retrieval and AI synthesis.

When a user enters their business type, the system identifies the most relevant subreddits for that industry — a dental clinic might pull from r/Dentistry, r/askdentists, r/TeethComments, and r/HealthInsurance. A landscaping company might pull from r/lawncare, r/landscaping, r/HomeImprovement, and r/mildlyinfuriating.

The system then searches these communities for questions — not general posts, but specifically interrogative content: threads where people are asking for advice, expressing confusion, describing a problem they have not solved, or debating options. These are the conversations that reveal real decision-making anxiety.

The raw Reddit data is passed to Claude, which synthesizes across hundreds of threads to extract the 40 most frequently raised and most actionable questions. The AI removes duplicates, resolves paraphrased variations of the same concern, and groups questions into thematic clusters: pricing questions, trust questions, process questions, comparison questions, outcome questions.

The result is a ranked list of 40 questions that represent the collective uncertainty of the market. Not what businesses think customers ask. What customers actually ask.

The questions are the raw material. What business owners do with them determines the ROI.

The most direct application is content strategy. Every question in the list is a potential blog post. A question like "how do I know if a tree needs to be removed vs just trimmed?" becomes a 1,200-word article that ranks for exactly that search intent and pre-qualifies every visitor who reads it. A question like "what happens if I cancel my Airbnb booking last minute?" becomes an FAQ entry that reduces inbound customer service calls.

The second application is ad copy and landing page headlines. The tool surfaces the exact language that customers use to describe their problem — not the language the business uses, but the language the customer uses. An ad headline that says "Tired of paying 4% foreign exchange fees?" lands differently than "Better Exchange Rates for Your Business" because it uses the customer's internal monologue, not the company's positioning.

The third application is sales preparation. Any business with a sales process can use the question list to prepare objection responses. If 15 of the 40 questions are about pricing transparency, that is a signal that pricing needs to be addressed earlier in the sales conversation — before the prospect raises it as an objection.

The tool is not a finished product. It is a research accelerator that gives any business owner the foundation for a month of informed content, sales, and marketing work in 30 seconds.