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/

In this episode of Chat With Sean, I’m joined by Pam Aungst Cronin, a top SEO consultant with over 20 years of experience in e-commerce and digital marketing. Pam has been recognised as one of the leading women in SEO and is a passionate advocate for data-driven marketing strategies and practical approaches to AI search and brand visibility.

We explore how AI is transforming SEO, why brand authority is more important than ever, and how businesses can optimise their content for AI-powered search. Pam shares actionable insights on LLM audits, content consolidation, EEAT implementation, and practical ways to inject human experience and storytelling into content workflows to improve AI understanding.

Pam discusses:

- Why brand strength and authority are now critical for AI search

- How AI models interpret content and the importance of LLM audits

- Consolidating multiple pieces of content for better AI comprehension

- Injecting experience, storytelling, and unique insights into content

- Balancing AI-assisted content creation with authentic human expertise

Topics covered include:

- Measuring AI visibility and topical authority

- Conducting input-output audits for AI content and search evaluation

- Consolidating blog posts and guides for AI ingestion

- Ensuring human experience (the “E” in EEAT) is embedded in content

- Avoiding hallucinations and errors in AI search results

- Optimising brand representation across multiple digital channels

- Practical strategies for small and medium-sized businesses

- Preparing content for AI agents, MCP/UCP, and bot optimisation

- Tips on aligning content workflows with AI search behaviour

- How SEO, PR, and content teams can collaborate in an AI-first world

Connect with Pam: https://www.linkedin.com/in/pamaungst/

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 Dixon Jones, CEO of InLinks and Waikay, and one of the founding directors of Majestic. Dixon shares insights into AI visibility, entity SEO, and how brands can ensure their presence is accurately represented in AI-driven search results.

We discuss how AI is changing the way businesses are discovered, the importance of brand DNA, and how to optimise content for LLMs and AI tools. Dixon explains practical methods for measuring topical presence, improving brand representation, and avoiding errors in AI-generated outputs.

Dixon discusses:

- Building a knowledge graph and defining your brand’s entity

- How AI and LLMs interpret websites and brand content

- Measuring topical presence and share of voice

- How to structure websites, About pages, and content to improve AI accuracy

- Avoiding hallucinations and errors in AI search outputs

- Practical examples of optimizing brand visibility across AI models

Topics covered include:

- The evolution of entity SEO from keywords to knowledge graphs

- Using AI to evaluate brand representation and visibility

- Understanding the difference between share of voice and topical presence

- Case studies on brands and products with misrepresented AI outputs

- Prompt tracking, monitoring, and improving AI responses- Structuring About pages to guide AI understanding

- How businesses can maintain consistency and accuracy in AI-driven search

- Insights into workflows, technical setups, and AI experimentation for SEOs

- Lessons for agencies and consultants on building AI-aligned processes

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 Rejoice Ojiaku, Senior Content Specialist at Wise, founder of Be Digital UK, and an international speaker known for her work across SEO, content strategy, inclusive marketing, and AI search.

We look at how content marketing is evolving in an AI-first world, why intent matters more than ever, and what brands need to do to improve visibility across search engines and AI platforms. Rejoice also shares her thoughts on inclusive marketing, building topical authority, personal branding, and why SEO can no longer operate in isolation from other teams.

Rejoice discusses:

- Why inclusive marketing creates stronger content and deeper audience trust

- How AI search is changing content creation and optimisation

- What makes content more likely to be cited by AI systems

- The importance of topical authority and content clusters

- Why SEO teams need to become part of a wider content ecosystem

Topics covered include:

- The role of Be Digital UK and supporting the next generation of marketers

- Inclusive marketing examples that worked – and those that didn't

- Creating intent-driven content that converts

- Structuring content for AI search and LLM visibility

- Whether blogs still matter in 2026

- How to identify content opportunities and topic gaps

- Building authority and earning citations in AI search

- Why SEO, PR, content and social teams need to work together

- Personal branding advice for marketers

- Essential SEO, content and AI workflows

- Predictions for the future of search and content marketing

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 Daniel Horowitz, Enterprise SEO and AEO strategist at Salesforce. Daniel shares insights into how AI-driven search is reshaping enterprise SEO, the challenges of measuring success in a zero-click world, and strategies for building topical authority and content visibility across complex products and long buying cycles.

We discuss the shift from traffic-focused metrics to visibility-driven strategies, how AI tools are influencing enterprise SEO workflows, and the importance of educating stakeholders about the changing search landscape. Daniel also explores practical ways to optimise content for AI models, internal linking, and content clusters to ensure the right information reaches the right audience at the right time.

Daniel discusses:

- How AI search and AI summaries are changing enterprise SEO strategies

- Measuring visibility and influence rather than just traffic

- Building topical authority and content clusters for complex product suites

- Aligning SEO with organisational strategy and educating leadership

- Using AI tools to streamline SEO workflows while maintaining human oversight

Topics covered include:

- The compression of top-of-funnel search and its impact on enterprise SEO

- Adapting content for AI search models like ChatGPT and Google Gemini

- How to optimise product comparison pages and middle-funnel content- Internal linking and backlink strategies in AI-driven search- Using AI for research, content outlines, and workflow augmentation- Balancing human-first content creation with AI-assisted processes- Measuring success with visibility, sentiment, and conversions rather than traffic alone-

Preparing stakeholders for changes in search behaviour and AI adoption

- The future of enterprise SEO in an AI-first world and multi-model search environment

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 Ellie Wraith, Head of Search at Digitaloft. Ellie returns to the channel to discuss one of the biggest topics in SEO right now — the future of content in an AI-driven search landscape.

We explore how AI is reshaping SEO content strategies, why originality and effort matter more than ever, and how brands can continue building authority in a world increasingly influenced by AI Overviews, ChatGPT, and changing user behaviour. Ellie also shares how she uses AI within content workflows, how to approach EEAT in 2026, and why content still sits at the centre of organic visibility.

Ellie discusses:

- Why SEO content hasn’t died - it’s evolved

- How AI has raised the standard for originality and usefulness

- Why effort, novelty, and expert insights matter more than ever

- How AI tools can improve workflows without replacing human creativity

- Why EEAT and authorship signals are becoming increasingly important

Topics covered include:

- The future of evergreen and blog content in AI search

- How AI Overviews and LLMs are changing content consumption habits

- Why “average” AI-generated content is no longer enough

- Using Reddit and audience sentiment analysis to improve content strategies

- How Ellie uses AI to streamline research and repetitive SEO tasks

- Structuring content for AI extraction, passage ranking, and user experience

- Building topical authority and entity-first SEO strategies

- The growing importance of authorship, trust, and expert-led content

- Content engineering and scalable content production frameworks

- Why SEO, PR, and brand authority are becoming more connected

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/