18 analyses, dated and sourced.
Methods, audits, field notes on optimising for AI answer engines. One article when there is something worth saying. No recaps, no digests, no filler.
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AI bots: allow or block by declared intent
Decide which AI bots to allow, limit or block by separating technical identity, declared intent and observable evidence before publishing crawler rules.
Read the article8 min Note · 01 -
Perplexity vs ChatGPT Search: facts and limits
Compare the two answer engines without inventing citation formulas, fixed source counts or ranking factors.
Read the article7 min Note · 02 -
Semantic HTML for search and AI systems: useful, not magical
How semantic HTML improves structure and accessibility without becoming a universal LLM ranking factor.
Read the article6 min Note · 03 -
LLM citations and sources: what can be verified
Create attributable content and audit AI citations without claiming a universal selection formula.
Read the article7 min Note · 04 -
AI Overviews and AI Mode in France: verified launch facts
What Google officially announced for France, what site owners can control, and what Search Console can and cannot isolate.
Read the article6 min Note · 05 -
Bing, Copilot and IndexNow: what site owners can verify
A source-based guide to Bing crawlability, IndexNow submission and the limits of claims about Microsoft Copilot citations.
Read the article6 min Note · 06 -
Wikidata for entity SEO: notability before optimisation
When a Wikidata item is appropriate, how notability and references work, and why creating an item is not a guaranteed visibility tactic.
Read the article6 min Note · 07 -
Internal linking for LLMs: functions and limits
How crawlable internal links support discovery, context and navigation without proving a universal LLM authority score.
Read the article6 min Note · 08 -
Google AI Overviews: how to appear and optimise your presence
Actionable guide to being cited in Google AI Overviews. How the system works, source selection criteria, optimisation levers and operational checklist.
Read the article6 min Note · 09 -
Optimising for ChatGPT Search: technical guide 2026
How ChatGPT Search (OAI-SearchBot) indexes and cites sources. Differences with Perplexity, selection criteria, optimisation levers and action plan to appear in ChatGPT cited responses.
Read the article13 min Note · 10 -
Optimising content for Perplexity: technical guide 2026
How Perplexity retrieval works, which content it cites and why, and the concrete levers to maximise your visibility in its responses.
Read the article7 min Note · 11 -
What is topical authority in LLMs? Evidence and method
What Google documents about topic authority, what RAG research proves, and how to build and measure a defensible LLM content cluster.
Read the article10 min Note · 12 -
Entity SEO for LLMs: seven actions to disambiguate a brand
Seven actions for a verifiable entity: consistent facts, genuine profiles, documented markup and repeatable answer checks, without citation guarantees.
Read the article6 min Note · 13 -
RAG and SEO: understanding retrieval augmented generation for AI visibility
Retrieval Augmented Generation is the central mechanism that determines which content LLMs cite in their responses. This guide explains how it works and how to exploit it.
Read the article8 min Note · 14 -
Schema.org and LLMs: the complete guide to structuring data for AI
How schema.org structured data influences LLMs and AI answer engines understanding of your site. Technical guide with JSON-LD examples ready to copy.
Read the article6 min Note · 15 -
E-E-A-T and LLMs: how AI answer engines evaluate expertise and trust
How LLMs and AI answer engines interpret E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) and concrete actions to strengthen each dimension.
Read the article12 min Note · 16 -
Measuring AI visibility: defensible KPIs and pitfalls to avoid
No unified AI console exists yet. What is directly measurable, what is not, available tools, and the most reliable proxy metrics for tracking AI visibility.
Read the article12 min Note · 17 -
robots.txt and AI bots: a verifiable 2026 configuration
Configure OpenAI crawlers and the main AI bot categories without confusing search, training, user-triggered actions and advertising review on your site.
Read the article8 min Note · 18