── ── AI search optimization

How We Made deciqAI Citable by AI (and How You Can Too)

June 16, 2026 · 6 min read

How We Made deciqAI Citable by AI (and How You Can Too)

GEO — generative engine optimization — isn't about ranking #1. It's about being the source an AI quotes inside its answer. That takes three things: machine-readable pages, one quotable claim per page, and proprietary data nobody else has. Here's the exact playbook we ran on ourselves.

Here's the uncomfortable truth for 2026: your next customer probably won't Google you. They'll ask ChatGPT, Perplexity, or Claude — and act on whatever those models say. If the model can't quote you, you're not in the consideration set. You don't exist.

We just went through this on our own site. New blog, open-source skills, the works. This is exactly what we did, in order, with nothing left out.

SEO, AEO, GEO — three different games

People smush these together. Don't.

  • SEO — rank in the list of blue links. Old game. Still matters.
  • AEO — win the answer box, the featured snippet, the voice answer. You're the one result read aloud.
  • GEO — get cited inside a generative answer. The model paraphrases the web and names sources. You want to be a named source.

Most teams pour everything into SEO and wonder why AI traffic is zero. The games overlap, but they reward different things. Optimize for all three or watch the channel that's actually growing pass you by.

Step 1: If a crawler can't read it, it doesn't exist

AI crawlers mostly don't run your JavaScript. If your content renders client-side, or hides behind a login, the model sees a blank page.

We fixed this first. Server-rendered HTML. The key claim in plain text, above the fold, in the raw source. View-source should show your argument, not a loading spinner. This is the step everyone skips and then blames the algorithm. Don't be that team.

Step 2: One quotable sentence per page

Models lift sentences. Give them a clean one to lift. Every page we ship now opens with a 40–60 word declarative claim — no hedging, no throat-clearing — that states the whole point. A model can quote it whole and be correct.

This is just first principles: strip the page down to the one statement that can't be reduced further, then build back up. We literally run the First Principles skill on our own drafts. If you can't write the one-sentence version, you don't understand the page well enough to publish it.

Step 3: Structure it for machines, not just humans

Answer engines love structure. So:

  • Question-form H2s. "When should I raise?" beats "Fundraising timing."
  • FAQ and HowTo schema. This is the highest-leverage move for the answer box. Ship the JSON-LD.
  • Tables for comparisons, not paragraphs. A model extracts a table cleanly; it mangles a wall of prose.

And make your answers MECE — mutually exclusive, collectively exhaustive. Overlapping, gappy answers don't get cited because the model can't trust them to be complete. Clean partitions get quoted.

Step 4: The move everyone misses — think second-order

Here's where most "GEO guides" stop, and it's the part that actually matters. GEO is not "rank #1." It's "be the source the model trusts to quote." Those are different objectives, and optimizing for the first doesn't get you the second.

What earns trust? Proprietary data and a reason to be cited. We have 26,724 real companies in our dataset — so we publish benchmarks no one else can. A model citing a number wants a source that owns the number.

Second-order thinking, applied

Don't optimize for the ranking, optimize for what the ranking system does with you next. First-order: "rank for the keyword." Second-order: "become the thing the answer is built from." Play the second game.

What changed, and what we'd tell you to do Monday

We rebuilt our content layer around these four steps. Server-rendered, one quotable claim per page, schema everywhere, proprietary benchmarks as the spine. If you're starting Monday, in order:

  • Make your money pages server-rendered and crawler-readable.
  • Rewrite each opener as one quotable claim.
  • Add FAQ/HowTo schema and question-form headings.
  • Find the one dataset only you have, and publish from it.

Then — yes — we built this into deciqAI. It now runs SEO + GEO + AEO for founders automatically. We shipped it on ourselves first, because we're not going to sell you a diet we won't eat. The thinking frameworks we used are open source, MIT-licensed, free: github.com/deciqAI/knowledge-skills.

FAQ

What's the difference between SEO, AEO, and GEO?

SEO ranks you in search results. AEO wins the single answer box or voice answer. GEO gets you cited inside a generative AI's answer. They overlap but reward different things.

Why isn't my content showing up in ChatGPT or Perplexity?

Most often because it's not machine-readable — it renders in JavaScript or sits behind a login, so the crawler sees nothing. Server-render it and put the key claim in plain text first.

Do I need proprietary data to do GEO?

It's the strongest lever. Models prefer to cite the source that owns a number. If you don't have a dataset, a clear original framework or method is the next-best citable asset.

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