How do you get cited by AI at launch? What I found while building a tool to solve it.

Spoiler - no magic wand. I spent the last few months researching it, and I'm building Bonai around what I found. Here's the substance.

Is AEO different from SEO, or just a rebrand?

Mostly a new lens on the same fundamentals. Good SEO (i.e. clear site structure, schema markup, topical authority, off-site mentions, etc.) is exactly what AI engines need to represent you accurately. The 20% that's genuinely new is passage-level content structure, llms.txt, and the fact that AI citation doesn't map cleanly to Google rank. If your SEO is weak, AEO won't save you. If your SEO is solid, a few targeted additions get you most of the way there.

Does ranking on Google get you cited by AI?

Not reliably. OmniSEO research found that about 60% of sources cited by AI engines are not in Google's traditional top 10 results. You can rank well and still be invisible to AI. You can also get cited without dominant domain authority if the content is structured correctly.

What does "structured correctly" actually mean?

AI engines run fan-out sub-queries behind the scenes, not just your head keyword. They pull specific passages from pages that answer each sub-query well. The passage needs to stand alone. If your answer is buried three paragraphs in, the AI doesn't get there.

Concretely: each section should open with a tight 1-2 sentence answer. Elaboration comes after. H2s should be phrased as the follow-up questions a buyer would actually ask, not your preferred topic framing.

Does schema markup actually matter?

Yes. A Georgia Tech and Princeton study found that JSON-LD schema markup significantly increases AI citation rates. Most founders skip it at launch. It takes about 20 minutes to add and signals entity type, product category, pricing, and audience directly to AI crawlers.

What about llms.txt?

llms.txt is a plain-text file at /llms.txt that gives AI systems a structured product summary. Jeremy Howard proposed it in September 2024. No major AI provider has officially confirmed native support yet, but 844k+ sites have adopted it. Cheap insurance at launch, not a guaranteed fix.

How does off-site presence factor in?

A product mentioned across 50 independent sources reads as established to AI systems. A product on one domain reads as unverified. Getting listed in directories relevant to your niche isn't just referral traffic. It's the off-site signal AI picks up before you have organic traction. Most founders either skip this entirely or don't know which directories actually matter for their specific product. Bonai identifies the relevant ones and generates the listing content for each.

What about freshness? Do you really need to publish weekly?

Content over 3 months old sees fewer citations on some platforms, particularly Perplexity. So yes, publishing regularly matters. But publishing weekly is only useful if what you publish is calibrated to something.

Bonai generates a weekly content package from two inputs: a programmatic agenda seeded from your product at onboarding (the target queries, topics, and follow-up questions relevant to your niche), and the findings from that week's audit. The audit runs prompts across ChatGPT, Gemini, and Perplexity on a rotating focus: identity one week, discovery the next, accuracy, authority. Both inputs feed a single blog article, structured for AI retrieval with passage-level answers throughout. You can set it to publish automatically or review it first.

From that article, Bonai adapts 4-5 platform versions, each rewritten for the style of the top communities in your niche. The same substance, but a Medium post reads differently from a Reddit post reads differently from a LinkedIn article. Bonai identifies which communities matter for your specific product and tailors the format accordingly.

The weekly loop is what turns a one-time launch into a compounding presence.

What I'm building

Bonai does the launch infrastructure once, then runs the loop. You start with onboarding: a short AI chat that learns your product. From that, Bonai registers your domain (free .com for the first 20 founders), builds your site, sets up JSON-LD schema, generates your llms.txt, and generates ready-to-submit listing content for up to 150 relevant directories. Everything a new product needs to be findable, done before you've written a single piece of content.

After that, the weekly audit and content system takes over. Every week, the customer dashboard shows which prompts ran, what got cited, what gaps were found, and what went out to fix them. A receipt of work done, not a tracker.

Landing page live at bonai.app, app scaffold is live at app.bonai.app. Content generation prompts are built, ongoing testing is happening as I grow my own online presence. Checkout and the audit logic are still being built. About 2-3 weeks from first real users.

Two things I'd value input on: is $49/month the right price for a solo founder at launch? And has anyone found a reliable way to track AI citation rate beyond manual prompt testing?