CubicGrowthAI-native marketing
AI search visibility

AI search optimization

AI search optimization is the work of making your brand visible in the answers that assistants generate, rather than only in the list of links below them. We measure where you appear today across the assistants your buyers use, fix what stops those systems reading you and publish the evidence that gives them a reason to name you.

The problem

Why this is suddenly urgent

A generated answer names three or four sources. A result page lists ten. There is no page two in an AI answer so the distribution of attention is far sharper than classic search ever was: you are named, or you are not in the conversation at all.

The harder part is that none of this shows up in your analytics. When an assistant recommends a competitor, there is no impression, no session and no bounce to report. The loss is completely invisible in the tools most teams use to decide where to spend.

What you get

Deliverables

Written into the engagement, not implied by it.

  • A documented prompt set covering your real buying questions
  • Baseline measurement across ChatGPT, Gemini, Perplexity and AI Overviews
  • AI crawler access audit and the fixes to it
  • Entity reconciliation across your site, profiles and listings
  • Content restructured for extraction and attribution
  • Monthly re-measurement with the trend, not a single snapshot
  • A weekly written report, including the weeks nothing moved

How we run it

The process

  1. 01

    Baseline

    We build the prompt set, run it across the assistants in clean sessions and record who gets named, in what position and how you are described when you appear.

  2. 02

    Access

    We confirm GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended can reach you, that your pages render without JavaScript and that nothing returns the wrong status code.

  3. 03

    Structure

    We rewrite the commercial pages so claims are specific and extractable, headings match how questions are actually asked and comparisons sit in tables rather than prose.

  4. 04

    Evidence

    We publish the original material, definitions and comparisons that give an assistant something concrete to cite, then pursue credible independent mentions.

  5. 05

    Re-measure

    Monthly, against the same prompt set so you can read a trend rather than react to one good week.

Who this is not for

If almost nobody in your category asks an assistant before buying, this is the wrong first investment. We will tell you that during the audit rather than after you sign.

Tell us your situation

Questions

About this service

No. These systems do not publish ranking factors, they change frequently and the same prompt returns different sources to different users. We can improve the conditions that make a citation more likely and measure what changes. Any agency guaranteeing placement is describing something that does not exist.

A good share of the work overlaps and we will not charge you twice for the overlap. What is genuinely distinct: AI crawler access policy, entity reconciliation, prompt-level measurement and content restructured for extraction rather than ranking. We itemise those separately so you can see what you are buying.

Access and structural fixes show up in crawling within weeks. Movement in generated answers is slower and noisier, because those systems refresh on their own schedule. Expect to read a trend over two to three months.