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Isaac Brown

AI search visibility

Find out how your brand shows up in AI answers, and what to change so it shows up more accurately and more often.

A good fit if competitors show up in AI answers and you don’t, or if AI describes your business wrongly.

Book a free intro call

What’s changed

People now get answers from tools like ChatGPT, Perplexity and Google’s AI Overviews, often without clicking a result. Some call the work of showing up in them GEO, short for generative engine optimization, or AEO, short for answer engine optimization. I treat both as part of SEO: the same fundamentals, applied to a new place your customers look.

Read: What AI search is worth when nobody clicks →

Results

ThenA list of ten links.

NowOne written answer, often with a few cited sources.

Clicks

ThenRanking meant clicks.

NowBeing mentioned or cited can matter even when nobody clicks.

Measuring

ThenRank trackers showed where you stood.

NowAnswers vary by engine and question, so you test many questions.

What I look at

  • AI crawler access

    Whether AI crawlers can reach your pages, and which ones your robots rules allow or block.

  • Brand presence in AI answers

    Whether answers mention your brand, and how accurately they describe it.

  • Cited sources vs competitors

    Which sources engines cite for your topics, and how often yours appear next to competitors’.

  • Structured data and formatting

    Whether pages give clear, extractable answers: headings, lists, tables and markup.

What you get

A baseline report across the major AI engines, a gap list showing where competitors appear and you don’t, and a prioritized plan. Here’s a condensed example:

Example baseline across AI engines
QuestionChatGPTPerplexityGoogle AI OverviewsWho’s cited instead
Best smart bulbs for a small apartmentChatGPTMentionedPerplexityCitedGoogle AI OverviewsNot mentionedWho’s cited insteadExample Brand A, Example Brand B
How do I choose a floor lamp for a reading nook?ChatGPTNot mentionedPerplexityNot mentionedGoogle AI OverviewsMentionedWho’s cited insteadExample Brand C, Example Brand D
Is Example Lighting Co. worth buying from?ChatGPTMentionedPerplexityMentionedGoogle AI OverviewsCitedWho’s cited insteadExample Review Site
Where to buy dimmable LED stripsChatGPTNot mentionedPerplexityNot mentionedGoogle AI OverviewsNot mentionedWho’s cited insteadExample Brand E, Example Brand F
Best lighting for a home officeChatGPTCitedPerplexityNot mentionedGoogle AI OverviewsNot mentionedWho’s cited insteadExample Brand G, Example Brand H

How it works

About 2–3 weeks from the first call to your plan.

  1. STEP 1 · 30 MIN

    Intro call

    Your goals, your market and the questions your customers ask.

  2. STEP 2 · DAYS 1–3

    Question set

    We agree on the questions your customers ask, plus the competitors to compare against.

  3. STEP 3 · DAYS 3–10

    Baseline

    I test each question across engines several times over a week, using tools like Profound and Peec AI alongside manual testing, and record what comes back.

  4. STEP 4 · DAYS 10–15

    Analysis and plan

    I compare cited sources, find what separates them from your site, and deliver the gap list and prioritized plan, with a walkthrough call.

Questions, answered

Is this different from SEO?

It builds on SEO. Crawling, structure and trusted sources still matter, but I also test what AI engines actually say about you and who they cite.

Can you guarantee ChatGPT mentions us?

No. Nobody controls what an AI engine says. I improve the conditions that make a mention more likely, then measure whether anything changed.

Why does it take a few weeks?

AI answers change from one run to the next. Testing each question several times over a week shows the patterns that hold across runs.

How is it priced?

The baseline is a fixed fee, agreed after our intro call. Ongoing tracking is a monthly retainer.

Do I need an llms.txt file?

It’s optional, and there’s no dependable evidence yet that it changes whether you’re mentioned. It’s cheap to add, so it’s a low priority.

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