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Azivra launches the AI Growth Audit: four quarters of growth, mapped in ten days

B2B SaaS United States

From 4% to 35% citation rate across the major answer engines

Citations in relevant AI answers rose from roughly 4% to around 35% across ChatGPT and Perplexity over eight weeks, for the platform’s core use-case questions.

Illustrative scenario — directional numbers · not a named client. A B2B payroll platform, described by category rather than named.

Illustration: an open-plan office, a woman at her desk talking a colleague through a payroll dashboard on her monitor and laptop.
Illustration — not a product capture · Invented figures blurred out of the render

Azivra 01 The challenge

The challenge

The company ranked respectably on traditional search but was almost never named when buyers asked an assistant to recommend a payroll platform for their situation. Nothing in the existing analytics showed this, because rankings do not measure whether you were the answer.

The strategy

  • AEO — SEO for LLMs

We mined the questions buyers actually put to assistants in the category — situational, long, nothing like the head terms the SEO program targeted — and rebuilt the content around being extractable rather than merely rankable: direct answers near the top, claims stated plainly, structure a model can lift. Clean structured page variants were served to AI crawlers, and citation rate was tracked weekly against a fixed question set.


Azivra 02 The results

The results

  • 35%

    citation rate , up from 4%

  • 8

    weeks to displace incumbent sources

  • 4

    answer engines tracked weekly

We were invisible in the place our buyers had quietly moved to, and our dashboards were reporting a good quarter.

Head of demand generation, payroll software

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