In this episode of Chat With Sean, I’m joined by Myriam Jessier, an independent SEO and AI search strategist based in Denmark. They work with Fortune 500 brands, government agencies, and global SaaS companies to help them adapt their search strategies as AI reshapes how information is discovered, interpreted, and delivered across the web.

Myriam is known for their systems-level thinking around marketing, combining SEO, behavioural science, privacy, and AI search to explore how digital ecosystems are shifting beyond traditional funnels and measurement. In this conversation, we go deep into how AI agents, privacy shifts, and evolving user behaviour are fundamentally changing what “visibility” and “performance” actually mean.

We explore the idea of “God Mode Marketing” and whether marketers ever truly had control of user data, before looking at how AI agents and bot-driven traffic are disrupting dashboards, attribution models, and the assumptions behind performance marketing.

Myriam also shares insights on the fragmentation of the open web, the rise of closed communities, and why users are increasingly moving away from public platforms into private, trust-based environments.

Myriam discusses:

- Why “God Mode Marketing” was always partly an illusion

- How cookies created a false sense of control over user behaviour

- The rise of AI agents and why traditional dashboards are breaking

- Why a large share of internet traffic is now non-human

- The collapse of traditional funnel-based marketing measurement

- How AI systems are reshaping visibility and attribution

- The shift from open web discovery to closed, trusted communities

- Why users are increasingly moving into group chats and private ecosystems

- The erosion of trust in ad-driven social platforms

- Why marketers are being pushed back toward brand and creativity

- The ethical tension between data abundance and data absence

- How privacy shifts are reshaping marketing strategy and measurement

Topics covered include:

- The history of marketing measurement and the Wanamaker problem

- Cookies, tracking systems, and behavioural targeting models

- Choice architecture and funnel manipulation in digital marketing

- AI agents and the breakdown of traditional analytics dashboards

- Bot traffic and its impact on data reliability

- The future of advertising inside AI systems and LLM environments

- The split between agent-first and human-first internet experiences

- Closed communities, WhatsApp groups, and opt-out digital behaviour

- The evolution of social media into advertising ecosystems

- Trust collapse and the rise of private, invite-only spaces

- Why marketers are losing visibility into full user journeys

- The return of brand, creativity, and experiential marketing

- Surveillance concerns, data ethics, and behavioural influence risks

- The growing tension between personalisation and privacy

Connect with Myriam - https://www.linkedin.com/in/myriamjessier/

Thank you to our partner, SEO Gets, the easy-to-use analytics and reporting tool for your GSC & GA4 data. Be sure to check out the tool and use code search10 for 10% off: https://seogets.com/

In this episode of Chat With Sean, I’m joined by Maeva Cifuentes, founder of Flying Cat Marketing, a SaaS-focused SEO agency helping B2B companies adapt to the rapid shift in search driven by AI, LLMs, and evolving user behaviour.

Maeva has built her agency from a background in translation and content into a specialist SEO consultancy, working closely with SaaS brands on content strategy, organic growth, and now AI-era search visibility. In this conversation, she shares how SEO is fundamentally changing and what businesses need to do to stay discoverable in a zero-click, AI-mediated search world.

We look at how traditional keyword-led SEO is breaking down, why customer language is becoming the most important input for content strategy, and how brands need to rethink both content creation and distribution to stay visible across AI systems, search engines, and off-site platforms.

Maeva also breaks down how SaaS companies should approach product-led content, why transparency and clarity are now ranking factors in practice, and how off-site signals like Reddit, LinkedIn, YouTube, and review platforms are increasingly shaping AI understanding of brands.

Maeva discusses:

- How SEO has shifted from keywords to intent and real user language

- Why SaaS companies naturally evolve into niche expertise through case studies

- The move toward product-led content and away from purely educational blogs

- Why AI is taking over top-of-funnel discovery and what that means for content strategy

- The growing importance of off-site signals in shaping brand visibility

- How reporting is evolving beyond traffic into AI visibility and business outcomes

- Why most companies underestimate what “modern SEO” actually requires

Topics covered include:

- The decline of keyword-first SEO strategies

- Voice of customer research from sales calls, support tickets, and communities

- Zero-click search and the shift away from traffic as a core metric

- AI search, prompt-based discovery, and emerging visibility tracking

- Consolidating content and focusing on bottom-of-funnel pages

- Building brand authority across multiple digital platforms

- The role of Reddit, LinkedIn, YouTube, and review sites in AI training signals

- Why SEO now requires cross-functional collaboration across teams

- Challenges of stakeholder buy-in in an AI-driven marketing environment

- How to structure content for both users and AI systems

Connect with Maeva: https://www.linkedin.com/in/maevaeverywhere/

Thank you to our partner, SEO Gets, the easy-to-use analytics and reporting tool for your GSC & GA4 data. Be sure to check out the tool and use code search10 for 10% off: https://seogets.com/

In this episode of Chat With Sean, I’m joined by Adam Gent, co-founder of Indexing Insight, a tool built to help SEOs understand how Google is indexing and de-indexing pages at scale. With over 15 years of experience in SEO across both agency and in-house roles, Adam shares deep insights into one of the most misunderstood areas of search: indexing behaviour and crawl management.

We explore how Google decides what stays in the index and what gets removed, why indexing is becoming even more critical in the AI search era, and how large-scale websites can lose visibility without realising it. Adam breaks down real-world case studies, including how technical issues can silently remove hundreds of thousands of pages from search.

Adam discusses:

- How Google’s indexing system actually works behind the scenes

- Why pages are actively de-indexed (and not just “not indexed”)

- The importance of crawl demand, engagement, and internal linking

- How Indexing Insight identifies indexing issues faster than traditional tools

- Why sitemap structure matters more than most SEOs realise

- How AI search increases the importance of being properly indexed

Topics covered include:

- Crawl current vs crawl previously indexed explained

- Why Google never emails you about active de-indexing

- The role of demand, engagement, and internal links in indexing decisions

- How to structure sitemaps for large-scale websites

- Splitting sitemaps by page type, demand, and business value

- Case study: how a T-Mobile indexing issue led to major traffic changes

- Why Google Search Console hides key indexing signals

- The 130-day indexing rule and 190-day crawl “forgetting” threshold

- How core updates can directly impact indexing behaviour- Building dashboards to communicate indexing issues to stakeholders

- Using input metrics to improve indexation outcomes

- Why SEOs need better business cases to influence developers

Thank you to our partner, SEO Gets, the easy-to-use analytics and reporting tool for your GSC & GA4 data. Be sure to check out the tool and use code search10 for 10% off: https://seogets.com/