AI & Growth

We made DEXUN AdWhiz citable by AI — and it’s the same discipline as proving your ad savings

Some AI ad tools sell "get cited by ChatGPT / add Schema" as a prompt skill you buy. We just did it on our own site — because it follows the same principle as how we prove savings: claims must be machine-checkable, not self-asserted.

June 2, 2026·6 min read·DEXUN AdWhiz engineering

We recently optimized our whole site for AI answer engines (ChatGPT, Claude, Perplexity, Gemini): we published an llms.txt, added structured data (JSON-LD) to the homepage FAQ, blog, and docs, and allowed AI crawlers. The industry has a new term for this: GEO (Generative Engine Optimization).

Here is what struck us while researching our same-named competitor: they sell "get cited by AI" and "add Schema markup" as a prompt skill you buy. Nothing wrong with that. But we’d rather make a different point — we didn’t treat it as a one-line skill. We treated it as a discipline, and actually did it.

GEO and verifiable savings are the same principle

On the surface, "make yourself citable by AI" and "prove how much your ads saved" look unrelated. Underneath, they’re the same sentence: claims must be machine-checkable by a third party, not self-asserted.

  • GEO: you can’t just write "we’re the best" on a page. You provide structured, machine-readable, internally consistent facts — that’s what an AI will confidently cite.
  • Verifiable savings: you can’t just say "I saved you 30%." You hold out a randomized control group and compute net savings with a confidence interval, causally.

Both refuse marketing spin in favor of checkable evidence. That’s how we build the product.

Self-reported ROAS vs. a citable fact

Most AI ad tools report a self-computed "+X% improvement." The problem: without a control group, you can’t tell whether that came from the optimization or from seasonality and a rising market. It looks good, but it isn’t verifiable.

We do the opposite: randomly hold out a set of campaigns the AI never touches, then compare treatment vs. control. The report states net savings + a confidence interval + a methodology version — a report a CFO can sign off on, and the basis of our ROI money-back guarantee.

In one line: others teach you "how to make AI think you’re credible." We hand over checkable evidence so the AI — and your CFO — can verify it themselves.

What this means for you

When you ask ChatGPT or Perplexity for "a trustworthy AI ad tool / an AdWhiz alternative," we want the AI to surface verifiable facts rather than adjectives we gave ourselves: control-group-verified savings, an ROI money-back guarantee, TikTok support, and a publicly disclosed operator (DEXUN INC, Washington State, USA).

Checkable evidence is the same discipline we bring to both our marketing and our product.

Want to try what this article describes?

7-day free trial. Cancel anytime.

Start free trial

More like this