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Building AEO Scan Funnel System

Session 0576:05:15

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The gist

A practical build session centered on preparing Burnish and its AEO scan funnel for Shopify merchants ahead of launch. Luqman reviewed the landing page, product demo, and scan-results interface; reviewed UI issues and requested fixes and alignment changes; and prepared a clearer video-editor handoff, while design polish, scan testing and delivery, email, and ad creatives remained unfinished. He explored offering an instant preview followed by a fuller report, balancing low signup friction against lead qualification because scans have an operating cost, and judging marketing through conversion and acquisition economics rather than assuming success. Technical work included examining crawlers, sitemaps, llms.txt, and robots.txt, alongside inconclusive discussions of privacy, application security, and reliance on Shopify; no comprehensive security test was documented. He also considered Graph Engineering and RAG as possible approaches to managing AI systems, while arguing that adoption should wait for a clear operational need. He examined role-sharing between Codex and Claude, context and usage-limit management, and task decomposition; his changing comparisons of speed and quality remained early impressions, not controlled tests. Audience discussions covered learning by building, freelancing, marketing and sales, e-commerce platform choice, and market validation, with emphasis on fundamentals and honest product claims and reviews. The supported conclusion is that the system was approaching launch and ready for further review—not complete or proven successful—while AEO remained an emerging, uncertain market requiring real-world testing and learning during the first weeks.

  • Codex
  • Claude
  • AI coding workflow
  • website development
  • +4

147 moments from the stream

  1. 3:30:44

    Starting a Desktop AEO Scan Test

    The group began reviewing the scan developed with Codex, selected the desktop view, and prepared to try it against a real company; this page does not show the test result.

    • AEO scan
    • Codex
    • desktop testing
    • product validation
  2. 3:37:21

    Separating Design Testing from Scan Testing

    The discussion clarifies that fixed numbers mean the current test covers only the interface design and result presentation, not the scan itself, before reviewing the results view and noting that it could still be improved.

    • AEO
    • scan results
    • UI design
    • testing scope
    • +1
  3. 3:40:23

    Why a Hosted E-commerce Platform Is Preferable

    Shopify is suggested as a possible option, alongside the broader point that an online store needs a reliable platform for payment-gateway integration and security. The speaker says a custom site may suit selling a service or software, but does not recommend building an e-commerce store from scratch because payments and security are especially sensitive.

    • e-commerce
    • Shopify
    • payment gateways
    • security
    • +1
  4. 3:41:09

    The Importance of Local Suppliers in E-commerce

    The speaker argues that supplier access, especially access to local suppliers, is an important consideration when choosing an e-commerce approach, then asks about e-commerce conditions in Syria.

    • e-commerce
    • suppliers
    • local suppliers
    • market conditions
  5. 3:41:46

    Advice for Software Engineers on Dropshipping and AI

    After dropshipping is raised, the speaker argues that someone with a software-engineering or computer-science background may benefit more from applying that expertise and building within the field with AI than from pursuing dropshipping. He begins to mention manufacturing as a possible exception before the page ends.

    • software engineering
    • AI
    • career advice
    • dropshipping
    • +1
  6. 3:45:00

    Design and Field Research for an AEO Scan System

    He directs a review of the fields and design in a reference example for possible adaptation, alongside the proposed core section that asks five assistants. The technical detail at the end is incomplete in the captions.

    • AEO
    • product design
    • field research
    • AI assistants
  7. 3:46:26

    A Git Workflow with Branches and Worktrees

    Answering a question about code location and feature separation, he explains his preference for local development and assigning a branch or worktree according to task size. He gives desktop and mobile website work as an example, followed by opening a pull request and merging, and says earlier merge problems pushed him to understand this workflow better.

    • Git
    • branches
    • worktrees
    • pull requests
    • +2
  8. 3:49:55

    The Technical Side of AEO

    He briefly emphasizes the importance of technical AEO and compares the idea to technical SEO, without enough further explanation in this segment.

    • AEO
    • technical AEO
    • technical SEO
  9. 3:50:22

    Ideas for More Engagement Through Telegram Live Streams

    He considers using Telegram live streams with community voice participation for direct conversations and stronger engagement, while acknowledging that he does not yet know all of the platform’s features and wants to study the options.

    • Telegram
    • live streaming
    • community engagement
    • voice chat
  10. 3:57:22

    Centering AEO Product Positioning on Technical Capability

    The speaker explored positioning the product around a technical AEO capability, such as a code snippet or specialized agent, with blogging and product optimization presented as later layers. While considering language that compares the capability with Shopify and competitors, he expressed concern about not making a false claim.

    • AEO
    • product positioning
    • technical differentiation
    • blogging
    • +1
  11. 3:58:31

    When an Agent Produces a Different Deliverable Than Expected

    The speaker described a task that took unexpectedly long and produced a scan-results page concept rather than building the scan itself, suggesting a possible prompt or task misunderstanding. As a personal impression rather than a benchmark, he said Codex generally felt faster and wondered whether the selected compute mode contributed to the delay.

    • AI coding agents
    • Codex
    • task specification
    • prompt clarity
    • +1
  12. 4:02:20

    Choosing an AI Tool for Heavy Tasks

    The discussion noted that a fast tool may not be the best fit for heavy tasks and that practical tool choice can also be constrained by available usage limits. The segment ended with a request to follow the recommendation, without documenting a comparative test or implementation result.

    • AI tool selection
    • heavy tasks
    • usage limits
    • coding agents
  13. 4:03:17

    Building a Deliberate Project Rather Than a Random Idea

    The speaker began explaining that being able to build a project does not justify choosing an arbitrary idea, and that pursuing profitability requires a deliberate project choice. The captions end before the selection criteria or full argument are completed.

    • project selection
    • product strategy
    • profitability
    • deliberate project choice
  14. 4:03:58

    Building a Successful Product Without a Programming Background

    The speaker argues that market understanding and a clear vision can enable a nontechnical founder to build a successful product, citing a discussed example while attributing the outcome to ambition and vision rather than exceptional genius.

    • product-building
    • nontechnical-founders
    • market-validation
    • entrepreneurship
  15. 4:06:25

    Reading Revenue, Profit, and Scalability Realistically

    The speaker explains that revenue should not be confused with profit when assessing a business, and that apparent growth must be considered alongside time, costs, pricing, and the number of required clients. A result may be good without being extraordinary.

    • revenue
    • profit
    • scalability
    • business-model
    • +1
  16. 4:07:48

    AI as Marketing Leverage, Not a Substitute for Fundamentals

    In the speaker's view, AI can amplify digital marketing, but it does not remove the need to understand marketing fundamentals, relevant metrics, and the funding requirements of campaigns.

    • AI
    • digital-marketing
    • marketing-metrics
    • campaigns
  17. 4:10:05

    Brief Feedback During a System Interface Test

    During work on the system, a test was requested and the new direction was described as generally better, with a remaining objection to the approval card. The captions do not establish a completed test result.

    • interface-testing
    • approval-card
    • UI-feedback
    • iteration
  18. 4:11:35

    High-Ticket Enterprise Services Depend on Consultative Sales

    The speaker analyzes a high-ticket enterprise service that may target businesses or government organizations and solve a substantial problem or implement a complete system. Its advantage is the potential to operate with relatively few clients, but it depends on meetings, direct sales, deal closing, and strong confidence in the offer, with team expansion becoming possible as the client base grows.

    • enterprise-sales
    • high-ticket-services
    • consultative-selling
    • B2B
    • +2
  19. 4:15:45

    Selling High-Ticket Software to Businesses

    The speakers discuss building software that solves a significant problem in a specific niche and selling it to businesses as a high-ticket subscription. In their view, this model depends on direct selling, objection handling, and closing; salespeople can be hired later, while the founder may need to handle early sales personally.

    • B2B SaaS
    • high-ticket sales
    • sales skills
    • objection handling
    • +1
  20. 4:19:59

    How Pricing Changes the Customer Acquisition Funnel

    The speaker explains that lower-priced products may rely more on digital marketing and a strong website, while higher prices often lead customers to request a conversation or meeting before subscribing. Within the AEO Scan Funnel System, he describes placing a clear in-app session-booking prompt for trial users to provide a consultative sales path when needed.

    • pricing strategy
    • sales funnel
    • trial conversion
    • consultative sales
    • +2

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