# Short takes on search, AI, and the next five years of marketing work

<span class="byline">by John Morabito · April 19, 2026 · 5 min read</span>

Seven short opinion pieces. Some appear in longer Playbooks with more data. These are the punchy versions.

## Take 01: The 33% gap

Only 33% of search results overlap between Google and generative AI answers. 67% of the time, AI surfaces different brands.

When someone tells you "good SEO is GEO," ask why the overlap is not 100%.

Reciprocal Rank Fusion. You could rank #1 for your money keyword and still be invisible in ChatGPT because your competitors show up across 8 subqueries while you appear in 2.

## Take 02: The listicle lie

People think AI recommendations are objective. They are recycled pay-to-play listicles.

In GEO there is no link equity penalty, no spam punishment. Strategic placements in AI-cited articles are legitimate GEO tactics. But stop pretending this is a meritocracy.

## Take 03: Video is the lever

YouTube is the #1 citation source for Google's AI Overviews. Beats Reddit significantly.

By the time someone opens ChatGPT, they usually have a consideration set built on social video. GEO is a go-to-market strategy, not a search tactic.

## Take 04: The Fertile Crescent

Irrigation created surplus. Surplus created time. Time created thinking.

AI will automate 101-level content. The surplus creates time for depth. Instead of your SME spending 30 minutes editing a boring 101 article, they turn on a microphone and talk about the most interesting case they ever solved.

Commodity vs. unique. Surface vs. deep. Recycled vs. information gain. Your SMEs are your moat. Start recording them.

## Take 05: The level playing field

Google rankings: 20 years of compounding PageRank. For most competitive terms, unless you are a Fortune 500, you are not cracking the top 10.

GEO: weights corroboration and direct-answer quality alongside authority. A three-year-old brand with the right answer can surface next to giants.

If SEO felt like a good old boys club, GEO is the door opening.

## Take 06: The retrievability problem

SEOs spent a decade fighting JavaScript. Then Google said don't worry. Now LLMs cannot render JavaScript at all.

Every third-party review widget, every dynamically loaded product page, every JS-rendered FAQ: invisible.

Before worrying about sentiment or content strategy, make sure the AI can actually see your site. Most basic step. Many brands are failing it.

## Take 07: Career advice

Get really good at AI. Do not tell anyone how good you are.

Companies see AI productivity gains and the response is not "let's give people time back." It is "we can do more. Let's do more." I am watching companies adopt six-day, nine-to-nine schedules.

People will not lose jobs to AI. They will lose jobs to people who know how to use AI better than them. Master the tools. Build automations. Learn MCP servers and context engineering. When your output 10xes, maybe do not volunteer exactly how.
