AI search is on the rise - don't ignore it - Charlie Marchant

In this episode Charlie Marchant says that AI search is on the rise.Talking points include:What specifically is on the rise in terms of search engine popularity?Is AI search popular among specific verticals or consumer groups?How do we know if our target market is using AI search?How do we optimise for AI search?How do we measure the success of AI search?What does this mean for the user funnel?What does AI search mean for the future of SEO?

Pieter Serraris discusses with David Bain how logfile analysis is an SEO and GEO goldmine that is too often left untouched.Talking points include: - Logfile usecases- Crawl budget- AI bots- Visibility in ChatGPT- Clarifying the dark funnel- Topics popular for ChatGPT- What does this mean for strategy- Beyond SEO

Priya Verma shares the importance of making analytics ready for your SEO to be able to track data effectively.Talking points include:How do you make analytics ready for your SEO?Why does this let you track data more effectively?What software do you use?What data should be used in GA4?Metrics and dimensionsHow do you use this data elsewhere?What impact does this have?

Christian Rigg shares why there's never been a better time to bridge any gaps between SEO and brand marketing.Talking points include:What are some typical gaps between SEO and brand marketing in a strategy?How do you prioritise what needs to be done?Who should be responsible for this?How does an SEO work more closely with brand?How can these essential instruments, as you call them, work together in perfect harmony?How do you measure the impact of this?

John Iwuozor shares the importance of starting to build your brand authority and direct audience relationships now.Talking points include:Why is brand authority so important?Why are direct audience relationships so important?Why does brand recognition get you cited in AI answers?Why does this keep you top-of-mind when traffic from search declines?Why does this drive sustainable revenue growth?How do you measure the impact of this?

Konrad Szymaniak shares the importance of using conversational SEO and query data clustering via machine learning.Talking points include:What is Conversational SEO & Query Data Clustering?Why is machine learning key? What do we want to achieve from this?What software do you use?What type of businesses should be doing this?How is this changing due to AI?

Ninsiima Rukandema shares the importance of combining SEO and CRO and growing collaboration between these functions.Talking points include:What do you mean by combining SEO and CRO?What can SEO do for CRO and what can CRO do for SEO?What does this mean in practice?How do you measure the impact of doing this?How do you sell the value of this to stakeholders?

Tom Rawle shares the importance of creating content that AI can't create. Build relevant, informative, unique, authentic content for on-page and off-page SEO that can't be replicated.Talking points include:What kind of content can humans create that AI can’t?How do you create unique content?How do you create authentic content?What do you mean by creating off-page SEO that can’t be replicated?Will this strategy continue to work in the next couple of years?

Will Slater shares that it's essential to learn to write better content instead of relying on AI.Talking points include:Why shouldn’t AI be relied upon to write content?What content needs to be written by humans?What does good human-written content look like structurally and why is that different to AI?How do you compete with the volume that AI can produce?Will AI content not continue to get better?What role is good for AI?What does a good human / AI content workflow look like?What AI tools do you use at the moment?What will be the role of human produced content in the future?

James Hocking shares that all Generative AI tools rely on traditional search results to answer questions, and most (Google excluded) rely on Bing for web search.Discussion points include:Why do AI tools rely on Bing?What do we been to rank on Bing? What specifically do we need to do differently to rank in AI results?What information does Copilot, Chatgpt, and Perplexity take from Bing?How is this different from Google?Is this situation likely to remain the same for a while?What else are AI engines looking for?