2014
Reading Hummingbird.
First shift: understanding that Google was no longer reading only keywords.
p.10 · The Author · Portrait
Section 05 · Portrait
SEO expert · Entity SEO · Semantic strategist · Author

John Mingam, Montreal, 2026
Ten years across SEO, digital marketing and strategy leadership. Born in Marseille, based in Montreal since June 2026. Marketing director, entrepreneur, business school instructor, creator of the SFT method. I see patterns where others see chaos.
2014
First shift: understanding that Google was no longer reading only keywords.
2015
First draft of an entity-based method.
2021
SEO becomes multimodal, relational and understanding-oriented.
2022
Modernization of the method and algorithm.
2023
Start of independent Entity SEO consulting.
2023-2024
Field validation on real cases.
2025
Launch of Entity Confidence and first draft of Universal Confidence.
2026
Working across several markets. Astronaut beta launch.
June 2026
New market, same obsession: make entities verifiable.
Research log
Twelve years of field work on the web, search engines, entities and algorithmic trust, presented as an interactive experience. English version in progress.
Explore the Odyssey ↗In progress
John Mingam · 2026
Entity SEO: making Google understand who you really are.
Entity SEO, Knowledge Graph, Wikidata, Schema.org, JSON-LD, E-E-A-T, SFT method.
Published
John Mingam
Understand, detect, decode and respond to disinformation crises.
Fake news, Disinformation, E-reputation, Fact-checking, Crisis communication.
Published
John Mingam
Strategies to navigate digital transformation and reinvent the sector.
Digital transformation, Digital strategy, Marketing, Innovation.
Published
John Mingam
Strategic guide to product portfolio management, matrices and KPIs.
Product management, Product strategy, Portfolio management, KPI.
I do not sell a promise. I show a score.
Available in Montreal, remote, or both.
Let's work together ↗The process by which a generative engine uses a source inside its answer, with or without a visible citation.
Optimization for direct answers, featured snippets and answer engines, where the goal is extraction rather than only ranking.
Google Search experience that provides AI-generated answers and follow-up interactions inside the search journey.
Google Search feature that summarizes answers with generative AI and may cite supporting sources.
A link from an external website to another website, historically used by search engines as a signal of authority.
HTML meta tag or HTTP header telling search engines not to index a page.
HTML link element indicating the preferred URL when similar or duplicate pages exist.
The act of being named or referenced as a source inside a generative engine answer.
Core Web Vitals metric measuring unexpected layout movement during page loading.
A set of related pages organized around a central topic or pillar page.
The process of removing, merging or improving weak content to protect overall site quality.
Google performance metrics measuring loading speed, visual stability and interaction responsiveness.
The amount of crawling search engines can allocate to a website during a given period.
Google tool used to ask the search engine to ignore specific backlinks in exceptional cases.
Google quality concept covering Experience, Expertise, Authoritativeness and Trustworthiness.
SEO approach that optimizes people, brands, concepts and organizations as identifiable entities rather than isolated keywords.
Schema.org type used to describe visible question and answer content on a page.
Discipline focused on structuring content so it can be extracted and cited by generative answer engines. Formalized in 2023 by Princeton and IIT Delhi research.
Crawler or control identifiers used by AI companies and search engines to access or govern content usage.
Google system targeting content created mainly for search engines instead of real users, integrated into core systems.
HTML attribute indicating language or regional page variants to search engines.
Core Web Vitals metric measuring page responsiveness to user interactions.
A database of entities and relationships used by search engines to understand people, organizations, places and concepts.
Core Web Vitals metric measuring when the largest visible content element finishes loading.
Proposed file format intended to summarize a site for language models. It is not an official ranking requirement.
Quebec law requiring French to receive equivalent or stronger treatment in many commercial contexts.
A brand or entity mention inside an AI answer without necessarily providing a clickable link.
Google indexing approach where the mobile version is the primary version used for indexing and ranking.
Google algorithm update targeting thin, duplicate and low-quality content.
Network of websites built primarily to manipulate link authority.
Google algorithm update targeting manipulative links and keyword stuffing.
Large-scale page generation from data and templates to cover many query combinations.
Process where an AI system retrieves external sources to ground or support its generated answer.
Root file giving crawlers instructions about which areas of a site they may access.
Schema.org property linking an entity to its official external profiles and identifiers.
Shared vocabulary and JSON-LD format used to describe entities, relationships and content for machines.
XML file listing URLs to help search engines discover and crawl a website.
Page that returns HTTP 200 while behaving like a not-found page.
Approach combining search optimization and user experience quality.
Perceived authority of a site or entity on a subject, built through depth, consistency and reliability.
Server response metric measuring the delay before the first byte is received.
Emerging protocol concept for AI agents to interact with structured commerce data and trusted merchant identity.
Google category for high-stakes topics such as health, finance, safety and law.
Search result where the user gets the answer without clicking through to a website.