AI Visibility & AEO - Futura Group

About Course

Course overview

A practical framework for making a brand and its content easier to retrieve, understand, trust, cite, and recommend across search engines, answer engines, and AI assistants.

What you will learn

Understand how AI-assisted discovery differs from classic search
Improve crawlability, entities, machine readability and sourceability
Create answer-first content with useful information gain
Strengthen E-E-A-T and trustworthy off-site signals
Monitor prompts, citations, referrals and business outcomes responsibly

Who this course is for

Business owners and marketing leaders
SEO and content professionals
PR, brand and communications teams
Agencies and consultants

Prerequisites

A website, brand, product or service to evaluate
Basic SEO knowledge is helpful but not required
Access to analytics or Search Console is optional

How to use the course

Work through the lessons in order, apply every exercise to a real project, and use the workbook to record evidence and decisions. Finish with the audit and action plan before measuring results.

Complete lesson edition

This course includes 24 written lessons, practical exercises, worked examples, and answer guidance. The complete PDF contains every written lesson. Download the full edition and any accompanying workbooks or toolkits from My Account > Downloads using the account that purchased this course.

Create an accurate public information set, entity register, answer sections, and a repeatable AI-visibility benchmark.

Course Content

Module 1: The modern discovery landscape
Understand how conventional rankings, generated answers, retrieval and recommendations work together.

Compare search, answer-engine, and assistant experiences
Understand retrieval, synthesis, citations, and uncertainty
Choose commercial and informational visibility goals

Module 2: Access, crawlability, and indexability
Ensure important facts can be fetched, rendered, indexed, and connected to a stable preferred URL.

Module 3: Entities and knowledge consistency
Define the people, organizations, products and services clearly and keep their attributes consistent.

Module 4: Answer-first content and information gain
Make answers easy to extract while adding examples, evidence, distinctions and first-hand value.

Module 5: Structured data and machine readability
Use supported markup and stable identifiers to reduce ambiguity without making claims the page cannot support.

Module 6: Trust, E-E-A-T, and sourceability
Show ownership, expertise, evidence, policies and update discipline so claims are accountable and citable.

Module 7: Off-site visibility and recommendation signals
Build a credible footprint through original work, accurate profiles, expert contributions and real customer evidence.

Module 8: Monitoring, experiments, and governance
Create a repeatable benchmark, responsible test plan and maintenance process tied to business outcomes.

Student Ratings & Reviews

No Review Yet

About Course

Course overview

What you will learn

Who this course is for

Prerequisites

How to use the course

Complete lesson edition

What Will You Learn?

Course Content

Module 1: The modern discovery landscape <p>Understand how conventional rankings, generated answers, retrieval and recommendations work together.</p>

Compare search, answer-engine, and assistant experiences

Understand retrieval, synthesis, citations, and uncertainty

Choose commercial and informational visibility goals

Module 2: Access, crawlability, and indexability <p>Ensure important facts can be fetched, rendered, indexed, and connected to a stable preferred URL.</p>

Check status codes, robots, sitemaps, canonicals, and rendering

Review crawler access policies intentionally

Keep important facts in accessible HTML and stable URLs

Module 3: Entities and knowledge consistency <p>Define the people, organizations, products and services clearly and keep their attributes consistent.</p>

Define core brand, organization, person, product, and service entities

Standardize names, attributes, and relationships

Reconcile first-party profiles and trustworthy third-party references

Module 4: Answer-first content and information gain <p>Make answers easy to extract while adding examples, evidence, distinctions and first-hand value.</p>

Write concise answer blocks and definitions

Expand with examples, steps, comparisons, and decision criteria

Add first-hand experience and information gain

Module 5: Structured data and machine readability <p>Use supported markup and stable identifiers to reduce ambiguity without making claims the page cannot support.</p>

Choose eligible Organization, Person, Product, Service, Article, and FAQ patterns

Connect entities with stable identifiers and sameAs where appropriate

Validate markup and keep it synchronized with visible content

Module 6: Trust, E-E-A-T, and sourceability <p>Show ownership, expertise, evidence, policies and update discipline so claims are accountable and citable.</p>

Show experience and expert accountability

Cite primary and authoritative sources responsibly

Publish clear ownership, contact, policy, and update information

Module 7: Off-site visibility and recommendation signals <p>Build a credible footprint through original work, accurate profiles, expert contributions and real customer evidence.</p>

Earn coverage through original data, tools, and expert contributions

Maintain accurate business and industry profiles

Monitor citations, reviews, communities, and misinformation

Module 8: Monitoring, experiments, and governance <p>Create a repeatable benchmark, responsible test plan and maintenance process tied to business outcomes.</p>

Build a representative prompt and citation benchmark

Track AI referrals, assisted conversions, and brand demand

Create an update, accuracy, and experimentation workflow

Student Ratings & Reviews

Module 1: The modern discovery landscape
<p>Understand how conventional rankings, generated answers, retrieval and recommendations work together.</p>

Module 2: Access, crawlability, and indexability
<p>Ensure important facts can be fetched, rendered, indexed, and connected to a stable preferred URL.</p>

Module 3: Entities and knowledge consistency
<p>Define the people, organizations, products and services clearly and keep their attributes consistent.</p>

Module 4: Answer-first content and information gain
<p>Make answers easy to extract while adding examples, evidence, distinctions and first-hand value.</p>

Module 5: Structured data and machine readability
<p>Use supported markup and stable identifiers to reduce ambiguity without making claims the page cannot support.</p>

Module 6: Trust, E-E-A-T, and sourceability
<p>Show ownership, expertise, evidence, policies and update discipline so claims are accountable and citable.</p>

Module 7: Off-site visibility and recommendation signals
<p>Build a credible footprint through original work, accurate profiles, expert contributions and real customer evidence.</p>

Module 8: Monitoring, experiments, and governance
<p>Create a repeatable benchmark, responsible test plan and maintenance process tied to business outcomes.</p>