What language should you track AI prompts in?
English dominates AI training, but isn't always best for tracking AI visibility. Here's how to choose the right language for each market.
Contributor
Myriam Jessier's latest articles
15 lessons from 15+ years in search
From search history and technical SEO to imperfect data and AI search, these 15 lessons can help you stay curious, pragmatic, and effective.
Your images have a new job in AI search
AI doesn't see your images the way a human does. See what it detects, what it misses, and whether the page confirms the right story.
How prompt injection puts your brand and AI workflows at risk
Prompt injection attacks put your customers, AI agents, LLM referral share, and vendor stack at risk. Here’s where the threats are emerging.
What replaces the ultimate guide in AI search
Long-form content alone no longer guarantees visibility. Learn the principles behind content AI systems retrieve and cite.
Brand depth determines what AI systems recommend
Citations only show the outcome. The real advantage comes from building a brand AI systems consistently retrieve, recognize, and recommend.
AI safety risk: How Best-of-N jailbreaking bypasses safeguards
A simple brute-force method exploits AI randomness to generate restricted outputs. Here’s how it puts your data, brand, and AI tools at risk.
How to write for AI search: A playbook for machine-readable content
Learn how to structure clear, information-rich content that LLMs can extract, interpret, and cite in AI-driven search.
Why video is the canonical source of truth for AI and your brand’s best defense
A five-minute video provides more data for an LLM than most blog posts. Here’s how to maximize your brand’s surface area for AI retrieval.
How to optimize video for AI-powered search
Learn which video signals AI relies on, and how visuals, audio, transcripts, and schema shape search visibility and brand accuracy.
Image SEO for multimodal AI
Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface content.
How to make products machine-readable for multimodal AI search
Design ecommerce images that AI can accurately interpret, from OCR-ready labels to curated context and sentiment-aligned visuals.
5 marketing maturity levels: From siloed to autonomous
Assess where your teams sit on five levels of marketing maturity: from siloed operations to autonomous systems, and what benefits you access at each level.
Why your SEO and PPC teams need shared standards to unlock mutual gains
Mutualism between SEO and PPC lowers costs, speeds insights, and builds sustainable visibility across organic and paid search channels.
The rise of technical branding in the age of AI search
Discover why technical branding – speed, semantics, security – now drives AI search performance, and how to stop brand drift before machines define you.
Rethinking the funnel with LLM tracking analytics
As customer journeys migrate into LLMs, you need new ways to track behavior. Here’s how LLM tracking tools approach the problem.
Hidden prompt injection: The black hat trick AI outgrew
Invisible prompts once tricked AI like old SEO hacks. Here’s how LLMs filter hidden commands and protect against manipulation.
How generative AI is quietly distorting your brand message
AI can distort your brand narrative and erode trust. Learn the four layers of brand control and how you can proactively manage AI semantic drift.