Fernando Angulo | AI Search Research

Market researcher & executive translator. I study how people—and AI systems—discover, evaluate and choose brands. @Semrush · Global keynote speaker.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Discovery is moving from ranked links to synthesized answers, citations and agent-mediated decisions.

I research how people—and AI systems—discover, evaluate and choose brands.

Current thesis: GEO is the new ranking. I research who gets cited.
https://t.co/GgssB7HEvs

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Medium was cited 16 times and never named in Semrush’s ghost-citations study with Kevin Indig/Growth Memo.

A source link and a brand mention are different outcomes.

My new post explains the distinction, with an audit worksheet:
https://t.co/2pUlCccUyQ

[Fernando Angulo | AI Search Research @Fernando1Angulo]

What should SEO teams actually change for AI search?

I’ll bring @semrush research to State of Search in Grapevine, Texas, Oct 19: “Beyond the Click.”

Data, AI citations and practical priorities. See you there?

https://t.co/rULmXyPEtG

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Visibility without a click: how do you measure it?

I’m sharing @semrush research at SOCi ReImagine in Scottsdale, Oct 16, 11:20 AM MST.

Let’s talk AI citations, local visibility and business outcomes.

https://t.co/8FvpE3zPek

[Fernando Angulo | AI Search Research @Fernando1Angulo]

At Future Ready Digital: North today, I’m discussing the discovery shift with one goal: give marketing leaders a defensible way to separate structural change from platform noise and decide what the team should build next.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

One useful test for an AI-search strategy: can the team explain what would make the brand more likely to be mentioned, cited or recommended—and why those are different outcomes?

If not, the dashboard is ahead of the operating model.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Agent-ready content still has to persuade people. It also needs to be readable, attributable and actionable for machines.

The first audit is simple: can a system identify the entity, verify the claim and understand what action is possible?

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Where AI gets built. And I’ll be speaking there.

I’ll be at AI Summit Barcelona, 22–23 September at the World Trade Center Barcelona.

If you’re going too, let’s connect.

#AISB26 #AISummitBarcelona #AI

[Fernando Angulo | AI Search Research @Fernando1Angulo]

AI visibility is cross-platform by definition. ChatGPT, Google AI and Perplexity do not select the same sources in the same way.

The decision is not “Which engine matters?” It is which audience, query set and outcome your measurement needs to represent.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Good research communication moves in three steps:

1. Identify the signal.
2. Explain the mechanism.
3. Name the decision.

Skipping step two creates hype. Skipping step three creates an interesting presentation that changes nothing.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Zero-click does not mean zero influence. It means traffic is no longer sufficient evidence of visibility.

Leadership reporting should separate reach, mentions, citations, referral traffic and the decisions each signal can support.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Entity optimization starts before the keyword.

If an AI system cannot resolve who you are, it cannot reliably connect your research, role and claims.

Use one canonical description across your site, profiles, bylines and schema.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Before publishing another page, ask a harder question: does this topic already have one canonical source strong enough to update?

In AI search, scattered expertise creates ambiguity. Consolidation often improves the signal more than volume.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Mentions and citations are not the same metric.

An AI answer can name a brand without linking to it, or cite a source without making the brand prominent.

Measure them separately before assigning one blended “AI visibility” score.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

AI search did not make SEO irrelevant. It changed the unit of competition.

A page can rank without becoming a cited source.

The practical decision: keep technical SEO, but add entity clarity, attribution and extractable evidence.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Today at UK SEO Summit, I’m focusing on the question behind GEO: what makes a source clear, credible and useful enough for an AI system to cite?

The answer is not one tactic. It is a system of entity, evidence, structure and distribution.

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Then: Digital Marketing Europe and the GEO Conference in San Francisco.

Save the thread and tell me which room—or screen—I’ll see you in.

Dates, cities and registration:
https://t.co/pK9TCDW0XT

#AISearch #GEO

[Fernando Angulo | AI Search Research @Fernando1Angulo]

We go live shortly.

The first stop on my 2026 AI Search & GEO calendar is about to begin: Winning AI Visibility with Stephen Adams and Emplifi.

Nine events. Seven cities. Four countries.

Here’s where we can meet ↓

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Next stops: Leeds, Barcelona, Vilnius and London.

We’ll get practical about LLMs in the purchase journey, evidence for AI visibility, ecommerce in AI-led discovery and what 47,000+ marketers reveal about GEO.

Slides 5–8 ↓

[Fernando Angulo | AI Search Research @Fernando1Angulo]

Most teams do not need another AI-search trend recap. They need a shared language for what changed, why the old metric is incomplete and which decision comes next.

That is the standard I use for every research briefing.