Research by request · Scoped original research

Original Research for the Decision Your Audience Is Facing

This is a scoped research service, not a sixth prewritten signature keynote. A consequential audience question becomes an evidence-led briefing only after the inputs, permissions, market, sample, limitations, and confidentiality terms are agreed.

Conference programmers, executive forums, and leadership teams with a specific market or buyer questionScoped keynote or executive briefingEnglish or Spanish

Funded, not free. Semrush funds Fernando's research and stage time, so there is no fee to the event. Engagements are selected on audience fit rather than budget. Travel and logistics are discussed once an event is confirmed.

Business decisionDefine one question the audience must answer
Audience outcomeA tailored evidence-led decision briefing
Research baseAgreed public or permissioned inputs and a documented method
AdaptationThe question, market, sample, and limitations are agreed before work starts
Outcomes

What changes after the session

01

Turn a broad topic into one decision-ready research question.

02

Agree inputs, permissions, method, sample, limitations, and confidentiality before analysis.

03

Present findings and unresolved evidence honestly, with no guaranteed findings.

Take it back to work

A framework the room can use

Valuable for

Conference programmers, executive forums, and leadership teams with a specific market or buyer question.

Framework

Decision brief, research method, evidence boundary, and next move.

Use this after the keynote to

turn a consequential audience question into a scoped analysis with agreed data, market, sample, and limits.

The room leaves with

A tailored, evidence-led briefing whose findings and limitations support one defined decision.

Inside the keynote

Three decisions, shown clearly

Authentic research material and representative samples show the visual and editorial standard. Final examples are verified and adapted before every event.

Representative sample
126 million prompts. A defined research lens.The published Semrush AI Visibility Index example covered four AI platforms and 22 industries.Scope: Semrush AI Visibility Index · 2026 · 126 million US AI search prompts · four platforms · 22 industries · January through April 2026Boundary: A published scale example. It does not define the scale, data, platform coverage, or deliverable of a custom session.Read the source
Representative sample
Separate what the evidence can say.Observation: what the agreed data records. Interpretation: what the pattern may mean. Forecast: what could happen next and what remains uncertain.Scope: Representative research method; market, sample, and time window are set in the confirmed brief.Boundary: Interpretation and forecast are labeled. Neither is presented as an observed finding.Read the source
Representative sample
Hypothetical representative findingFinding: the agreed sample shows a recurring visibility gap. Boundary: this hypothetical example is not a real result or prediction. Next move: test the question with the approved sample and method.Scope: Hypothetical layout example only; no market, sample, or time window applies.Boundary: No finding is implied or guaranteed. Final conclusions depend on responsibly usable data.Read the source
Responsible scoping

From audience question to confirmed brief

Sample questions

Which buyer question is changing, where is visibility breaking, or what market assumption must the audience test?

Required organizer inputs

The decision owner, audience, market, question, approved data, sample expectations, timing, and intended use.

Research and preparation process

Frame the decision, test data availability, agree the method, analyze the approved sample, review limitations, and build the briefing.

Permissions, attribution, and confidentiality

Data rights, named organizations, attribution, publication rights, and confidentiality are agreed before analysis. Confidential Semrush or Adobe data is not available.

Evidence boundaries and non-fit

No proprietary dataset, statistical representativeness, raw-data delivery, exclusivity, default turnaround, or finding is promised before scoping. There are no guaranteed findings.

Research foundation

Semrush AI Visibility Index research example

Scope: A published Semrush example analyzed 126 million US AI search prompts from January through April 2026 across ChatGPT, Gemini, Google AI Mode, and Google AI Overviews in 22 industries.

Evidence boundary: This example does not imply that a custom engagement includes this scale, these platforms, proprietary data, raw data, or a default turnaround. Required inputs, permissions, limitations, confidentiality, and publication terms are agreed in writing. There are no guaranteed findings.

Source

Each quantitative claim is tied to this public source with its organization, study, date, market, time window, sample, and limit shown in HTML.

Read the primary sourceRead the speaking scope
Fit and non-fit

The right depth for the right room

Best fit

Programmers and leadership teams with one consequential, researchable market or buyer question.

Not designed for

Not open-ended consulting, confidential data transfer before approval, a guaranteed result, or an automatic proprietary dataset.

Delivery proof

Research built for a live room

Fernando Angulo leading a workshop session with participants
Fernando leading a workshop with participants. Photo: Fernando Angulo archive. This image demonstrates delivery experience and does not claim to document this exact keynote.
Speaker

Fernando Angulo

I research how people, and increasingly AI systems, discover, evaluate, and choose brands, then turn that evidence into decisions marketing leaders can defend.

Senior Market Research Manager at Semrush, an Adobe company

View speaker profile
Organizer resources

No email is required. The PDF is approximately 2.5 MB and includes approved bios, keynote topics, audience fit, formats and languages, selected appearances, contact details, and press-photo access.

Download speaker kit (PDF, 2.5 MB)
Open press photos
Organizer FAQ

Questions before you shortlist the talk

What must be agreed before custom research begins?

The question, decision owner, inputs, permissions, market, sample, method, limitations, confidentiality, publication rights, timing, and usable next move must be agreed first.

How is the session adapted for an event?

The decision, examples, audience seniority, market context, and evidence boundaries are reviewed before delivery. The core research claims remain sourced.

Related talks
Invite Fernando

Does this decision belong on your stage?

Share the audience, event, and decision. Fit comes before budget.

Start the invitation

Or review the speaker kit (PDF, 2.5 MB)

REPRESENTATIVE SAMPLE · TRANSPARENT SCOPE EXAMPLE126 million prompts. A defined research lens.The published Semrush AI Visibility Index example covered four AI platforms and 22 industries.© Semrush · Semrush AI Visibility Index · 2026 · Market: US · Time window: January through April 2026 · Sample: 126 million AI search prompts, four platforms, 22 industries
REPRESENTATIVE SAMPLE · METHODSeparate what the evidence can say.Observation: what the agreed data records. Interpretation: what the pattern may mean. Forecast: what could happen next and what remains uncertain.Observation · Interpretation · Forecast · Method example · No quantitative claim
REPRESENTATIVE SAMPLE · HYPOTHETICAL REPRESENTATIVE FINDINGHypothetical representative findingFinding: the agreed sample shows a recurring visibility gap. Boundary: this hypothetical example is not a real result or prediction. Next move: test the question with the approved sample and method.HYPOTHETICAL · Representative conclusion structure · Finding · Boundary · Next move