AI Visibility

LLM optimization

One plan across every large language model: clear entities, consistent facts and quotable pages.

What we do

LLM optimization means making your brand easy for any large language model to identify, describe correctly and quote. Each engine finds sources in its own way, but they all depend on the same basics: a clearly defined brand, facts that match everywhere they appear, and pages that say something worth repeating. One plan covers all of them, so you are not chasing each engine on its own.

What we work on

  • An entity record for your brand: name, category, products, locations and official profiles, kept identical across the web.
  • A fact sheet of the details models repeat about you, such as price range, materials and shipping areas, checked for conflicts.
  • Crawler access set on purpose for each AI bot, including GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended.
  • Quotable pages: definitions, comparisons and how-tos written as short passages that make sense on their own.
  • Corrections when a model describes you wrongly, traced to the pages most likely feeding the error.

What you get

One fix list that covers every engine instead of separate plans for each, with conflicting facts about your brand flagged first. After your approval we ship the changes, and the weekly scorecard shows how each engine describes and cites you.

How we work

How we get you cited

Agents run four steps. A person runs the third.

  1. 01AUDIT

    Audit

    Five engines, your site, 90 days of Search Console.

  2. 02FIX LIST

    Fix list

    Every gap, ranked by what it costs you.

  3. 03APPROVED

    You approve

    Nothing ships without a yes.

  4. 04SHIPPED

    We ship it

    Straight to your site or Shopify.

  5. 05REPORT

    Weekly report

    Citations and rankings, in plain words.

Questions

LLM optimization: common questions

How is LLM optimization different from your engine pages?

The engine pages go deep on how one engine finds sources. LLM optimization is the shared layer under all of them: entities, consistent facts and quotable content.

Can you change what a model learned in training?

Not directly. What you can do is make current facts clear and consistent, so engines that search the web find them and future training data reflects them.

Does this cover models beyond the five you track?

Our tracking covers ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Perplexity. The groundwork, such as crawler access for ClaudeBot and consistent facts, applies to other models too.

Related

Related services

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