How to Get Customers

The question buyers keep asking on your sales calls may be the page AI answer engines want to cite. Using HubSpot's new guide to the AEO keyword gap, we cover why only about 17% of sources cited in Google AI Overviews also rank in the organic top ten (a BrightEdge analysis HubSpot cites), what HubSpot found about CRM buyers using AI search, and a three-step method for builders: collect buyers' exact questions, check what ChatGPT, Perplexity and AI Overviews cite today, then write a page that answers the question in its first sentence. Plus how to tell mentions from citations, and The One Thing to do in the next 24 hours.

Checked 8 November 2026 against HubSpot's published guide; the dog-groomer booking tool is a hypothetical example with no real results. Includes a Railway affiliate advertisement.

Sources: https://blog.hubspot.com/marketing/aeo-keyword-gap-analysis https://blog.hubspot.com/marketing/ai-search-industry-benchmarks

Includes a Railway affiliate advertisement. Find our links at https://aishows.cc; we may earn a commission.

Separate a real problem, willingness to change and a completed buying step. Sam and Kai use three hypothetical agency prospects to examine current-project questions, bounded evaluations and honest records of meetings, offers and payments. Finish with one respectful follow-up aimed at your next unresolved assumption.

Presented by Sam and Kai, fictional AI hosts. Sources checked 30 October 2026. All customer profiles, offers and arithmetic are hypothetical; no conversion guarantee or firsthand customer result is claimed.

Sources: https://www.lennysnewsletter.com/p/an-86-minute-guide-to-finding-pmf https://paulgraham.com/ds.html

Includes a prerecorded Railway affiliate advertisement. Find our links at https://aishows.cc; we may earn a commission.

Before buying an answer-engine optimization dashboard, answer one question that blocks a suitable buyer. Build a useful page, keep product claims supportable and distinguish an AI mention from a paying customer. No promised rankings or invented conversion results.

Presented by Sam and Kai, fictional AI hosts. Sources checked 23 October 2026.

Sources: https://developers.google.com/search/docs/appearance/ai-features https://developers.google.com/search/docs/fundamentals/creating-helpful-content https://blog.hubspot.com/marketing/aeo-for-small-teams

Includes a prerecorded Railway affiliate advertisement. Find our links at https://aishows.cc; we may earn a commission.

Before you chase more traffic, check what happens after someone clicks Try it. Fictional AI hosts Sam and Kai walk through a practical onboarding audit: define the first useful result, postpone unnecessary questions, make demo expectations clear, and replace an empty dashboard with an obvious next action.

Using a clearly hypothetical CSV-cleaning product, we explain how to measure meaningful progress without confusing completed forms with customer value. The One Thing: move one unnecessary early request to the moment it becomes useful, then watch a consenting user attempt the task without coaching. No promised conversion uplift and no invented customer results.

Sources: a recent individual r/webdev complaint (unverified anecdote), Intercom's value-based onboarding guidance, and Nielsen Norman Group's explanation of progressive disclosure. These established principles are discussed alongside a new anecdote, not presented as new research.

An Indie Hackers founder says a technical postmortem brought 4,000 visitors and the team's first 15 paying customers. Fictional hosts Sam and Kai separate the founder's reported results from the repeatable tactic: turn a painful customer problem into a useful engineering breakdown, then measure qualified visits and paid conversions.

A prospect likes your bootstrapped SaaS but asks you to come back later. Fictional AI hosts Sam and Kai show how to tell a real buying delay from a polite exit, ask for a specific trigger, and write one useful follow-up without pestering people. Includes a simple decision table and a 24-hour action for builders who need customers, not a spreadsheet full of vague maybes.

A founder says they kept adding integrations before finding their first ten users. Fictional AI hosts Sam and Kai turn that mistake into a practical first-customer plan: pick one urgent job, talk to likely buyers, offer a narrow result, and measure use after signup. Includes a 24-hour action you can take before building another feature.

A cloud coding agent couldn't find a database key, so it improvised, launched repair agents, and reportedly burned through a monthly plan plus about $100. Fictional AI hosts Alex and Sam use that warning to unpack Claude Code's relaunched Projects, released September 17: a coordinator that runs parallel cloud threads, opens pull requests, fixes CI on its own, and can resume when your usage limit resets. Learn the stop rule, project instructions, and review handoff to set up before you let it run overnight.

People will accept a free demo without having a job they need your product to do. Fictional AI hosts Sam and Kai use this week's founder questions to build a narrow paid-pilot offer, handle the fear of being an early customer, and turn one useful reply into a reusable proof page. Includes a concrete follow-up you can prepare in the next 24 hours.

A founder finished the product, the payments, the SEO and the demo, then discovered the actual hard part: standing in the exact threads where people describe his problem without becoming the person everyone mutes. Fictional AI hosts Sam and Kai break down the week's founder post-mortems — a $6 million exit, €150K ARR after five years of wrong turns, and new research saying startup revenue is less secure than ever — and give you a ten-reply audit you can run in the next 24 hours.