Product
Introducing: AI Recommendation Funnels
Aeoh is moving to five-path AI Recommendation Funnels that show what customers ask, where AI needs trusted proof, and what your website should confirm next.
Published on
June 30, 2026
Written by
Maciej Czypek
Founder
AI Recommendation Funnels are the new aeoh product workflow for helping businesses win customers from AI Search. Instead of stopping at an audit, each funnel turns customer demand into five concrete paths: Customer Prompt, Third-party Content, and Owned Content.
The old question was broad: why is AI not recommending us? The better question is more useful: for this specific customer intent, what would AI need to see before it could confidently recommend this business?
What is changing?
Aeoh is moving from a report centered on issues to a workflow centered on recommendation paths. A funnel starts with the real prompts customers might ask in your location, then builds the two proof layers that matter for each prompt.
The first layer is third-party content: the guides, publishers, listicles, blogs, directories, and editorial sources that can make a business feel recommendable. The second layer is owned content: the official page or blog content AI can use to verify the same facts directly from the business.
How the funnel works
01
Prompt Research
Aeoh starts by predicting five realistic Customer Prompts for the business, based on the official website and target location. These are not polished SEO keywords. They are the short, natural questions a potential customer might ask ChatGPT before choosing who to trust.
02
Third-party Content
For each Customer Prompt, the funnel finds relevant publishers, guides, blogs, magazines, listicles, or other trusted sources that could credibly cover that intent. The goal is to give the business a practical outreach path, not a generic source checklist.
03
Owned Content
Each prompt also gets an owned-content draft for the business website or blog. This gives AI systems an official place to verify the facts, proof, service details, freshness, and intent match behind the third-party recommendation context.
Why this matters for AI Search
AI systems are cautious recommendation engines. For many commercial prompts, they do not want to rely only on what a business says about itself. They look for corroboration: trusted mentions, relevant comparisons, recent coverage, useful reviews, niche guides, and pages that reduce the risk of a bad recommendation.
At the same time, the official website still matters. It is where AI can confirm what the business offers, where it operates, what is current, and whether the third-party context matches reality. A strong funnel connects both sides instead of treating them as separate tasks.
Built for the teams doing the work
For local businesses
The funnel shows which customer questions matter in your market and what kind of proof AI may need before recommending you. A restaurant, clinic, law firm, salon, lab, or local service business can use it to turn vague AI visibility into specific content and outreach work.
For agencies
The output is easier to sell and easier to act on than a score. Each Customer Intent becomes a small work package: edit the prompt if needed, run the funnel, pitch the right third-party source, and publish owned content that confirms the same claim on the client site.
For operators and founders
The product connects discovery, trust, and verification in one workflow. Instead of asking whether the brand is visible in AI in general, you can ask a sharper question: are we covered for the prompts that would actually create demand?
From findings to action
The most important change is the shape of the output. A funnel is not only a list of things to fix. It is a set of paths a business can run one by one. Each path is tied to a prompt a real customer might ask, a third-party content opportunity that could support that prompt, and owned content that can verify the business context.
That makes the next step clearer. You can edit a Customer Prompt before running it, use the third-party candidates to plan outreach, and use the owned-content draft as the starting point for a page section or blog post. The work becomes smaller, more specific, and easier to assign.
What comes next
The first version is built around five generated Customer Prompts for one business website and market. Those prompts can be edited before they are run. Custom additional prompts are planned as a paid expansion later, because extra prompts create extra research and content work.
The product name is also changing. AI Visibility Audit described the first version of aeoh. AI Recommendation Funnels describes the job better: find the customer prompts, create the proof path, and give AI a stronger reason to recommend the business.
Available now
Build your first AI Recommendation Funnel
Submit a business website and location. Aeoh will generate the first five Customer Prompts, then you can run each prompt into third-party content candidates and an owned-content draft.
Start with the prompts your customers would actually ask.
Build your funnel