July 2026 AI Dinner - "SEO in the age of AI"

KEY_TAKEAWAYS_OVERVIEW AI Model Innovation: Rapid AI releases heighten need for strategic, problem-focused adoption amid AI agent-driven web traffic overtaking humans. Cybersecurity Risks: AI-driven brute force attacks crack 18-character passwords in 37 seconds; continuous 24/7 pen testing replaces periodic checks. Marketing Metrics Shift: Moving from ROAS to POAS integrates profit margins and stock, saving seven-figure ad spend via AI tools like OneSearch. AI Adoption Strategy: Prioritise solving real user problems over technology hype, with iterative product testing achieving customer adoption and revenue growth. Governance and Risk: Strong AI governance, supplier risk management, and updated legal contracts essential to manage shadow AI and data confidentiality. Cultural Change: Education on AI risks and benefits plus collaborative workflows with AI tools foster innovation and responsible integration. Notes AI Industry Trends and Strategic Reflections The AI landscape is rapidly evolving with new model releases and a growing shift toward agent-driven web traffic, prompting strategic reflection on purposeful innovation. Rapid AI Model Evolution and Market Impact (08:00)Eric Schwartz highlighted recent launches from Anthropic (Opus, Sonnet), ChatGPT (version 6), and Moonshot’s Kimmy, underlining a fast-paced AI model innovation that crosses into cybersecurity realms. This surge challenges businesses to adapt quickly to AI’s evolving capabilities and risks. Eric’s agenda framed AI literacy and strategy as critical for organisational leadership. The shift to AI agent-driven web traffic, surpassing human traffic, signals a major market transformation demanding new engagement strategies.Learning from General Magic’s Legacy (11:55)Tom recounted General Magic’s story as a cautionary tale of innovation without clear problem focus, noting the company invented the smartphone before the Internet existed but failed commercially. This emphasises the importance of aligning AI innovation with concrete user needs and market timing. Tom suggested today’s AI scene risks repeating this pattern by building without clear goals amid a flood of new models. The reflection acts as a strategic reminder to prioritise wisdom over mere knowledge acquisition in AI development.Balancing Innovation with Practical Business Impact (08:00, 11:55)There is a strong theme around not chasing every new AI tool blindly but focusing on measured, problem-driven adoption to avoid wasted effort and financial loss. Eric and Tom stressed the need for businesses to understand what AI tools truly solve before committing resources. This mindset aims to prevent building “everything” and instead channel efforts into high-impact AI applications aligned with business strategy. Cybersecurity and Responsible AI Adoption Cybersecurity risks are intensifying with AI’s rise, making proactive security, governance, and supplier risk management essential for trust and compliance. Fundamental Security Hygiene and Password Risks (39:54)Sunny Barra emphasised the critical need for basic security practices such as changing default Wi-Fi router passwords and using strong passphrases combined with multi-factor authentication. He explained how brute force attacks now break strong 18-character passwords in 37 seconds using AI, a drastic reduction from years previously. Sunny’s advice targets both individuals and organisations to mitigate the easiest cyber-attack vectors.Emergence of AI Agents and Dynamic Pen Testing (45:43, 48:52)Sunny described how AI agents create an “invisible workforce” that requires new security thinking, especially around governance, access control, and the ability to halt rogue agents. He advocated replacing traditional periodic pen testing with 24/7 dynamic pen testing to continuously monitor vulnerabilities, reflecting evolving attack surfaces. This approach is increasingly necessary due to AI’s autonomous decision-making abilities and expanding digital footprints.Supply Chain Risk and Shadow AI Concerns (57:37, 56:03)The recent OpenAI incident spotlighted the risks of third-party AI agents operating without sufficient due diligence, as organisations often lack visibility into data usage by suppliers. Sunny urged businesses to implement AI governance processes that include supplier risk assessments to avoid data leaks or compliance failures. The prevalence of shadow AI—unauthorised AI use by employees—poses further risks, requiring robust policies and updated employee contracts incorporating confidentiality and data protection clauses.Building Trust through Governance and Expertise (50:13)Sunny outlined a trust framework requiring organisations to be able to explain, secure, govern, stop, and defend AI systems before launch. He stressed the value of seeking expert advice and performing health checks on AI implementations for controlled, secure adoption. Responsible AI use underpins long-term business success and customer confidence in an AI-driven environment. AI-Driven Digital Marketing and Profit Optimisation AI is reshaping digital marketing, with new performance metrics and automation tools delivering measurable profit improvements beyond traditional advertising spend metrics. Shift from ROAS to POAS for Profit Focus (11:24)Rob Morley explained moving from traditional return on ad spend (ROAS) to profit on ad spend (POAS), which integrates SKU-level profit margins and stock data to better assess true marketing impact. This shift helps clients focus on actual profit, not just revenue, improving budget allocation and campaign effectiveness. POAS insight drives smarter decisions on which ads to run or suppress based on margin and inventory levels.Google AI Assistant Channel and Lost Click Issue (12:59, 26:17)Google’s new AI Assistant channel in Google Analytics tracks AI-driven site traffic, currently below 1% but showing rising conversion rates, indicating growing AI influence on customer journeys. Rob warned of “lost clicks,” where users get AI-generated answers without visiting websites, reducing direct web traffic and conversion opportunities. This challenges marketers to rethink engagement strategies beyond traditional clicks and impressions.Development of Proprietary Tools Using Claude (19:12, 20:37)Fountain Partnerships built two AI-powered tools—OneSearch and PriceSense—using Claude to reduce wasted ad spend and optimise pricing dynamically. OneSearch identifies and stops ads where brands pay for clicks they would have earned organically, saving clients seven figures annually across 50% of their customer base. PriceSense adjusts ad spend based on SKU margins, stock, and competitor pricing, ensuring ads focus on profitable and available products. These tools demonstrate how small teams can leverage AI models to build impactful solutions without large data science teams or venture funding.Challenges in SaaS Transition and Tool Integration (24:51)Rob shared lessons from evolving Fountain into a SaaS-like model, including the need for proper SLAs, team training, and product management distinct from pure marketing services. This transition highlights operational challenges when building AI tools for external clients. Continued refinement and cloud migration are planned to scale the tools securely and robustly. AI Adoption, Product-Market Fit, and Revenue Generation Organisations face challenges in adopting AI effectively, needing to focus on solving real problems and achieving incremental revenue rather than technology for its own sake. Iterative Product Development for Adoption (50:12)Matt shared how his company built multiple AI products iteratively, initially with minimal investment, until landing a product that achieved customer adoption and value by end of Q1. This approach allowed testing market fit without heavy upfront costs and scaled to 15 new customers through proven value. The process underscores the importance of aligning AI tools with clear business problems and user needs.Strategic Focus on Problem over Technology (53:07, 56:35)Multiple speakers stressed the principle of “falling in love with the problem, not the tech,” to avoid creating complex but commercially ineffective AI solutions. Eric and others urged focusing on incremental impact and customer value rather than chasing every new AI feature. This mindset helps companies avoid wasted effort on tools that do not deliver measurable business benefits.New Revenue vs Efficiency Gains (38:21, 39:38)The group discussed whether AI tools are generating new money or simply improving efficiency. Some confirmed new revenue streams have emerged, while others see gains mostly in cost savings or capacity expansion. The consensus was that AI’s greatest value lies in solving specific problems that unlock new revenue or significantly reduce costs. Understanding and quantifying this difference is key to justifying AI investments.Human Expertise Remains Critical (46:21, 44:58)Despite AI’s capabilities, marketing and cybersecurity experts highlighted that human judgement, domain knowledge, and accountability remain essential to deliver outcomes. AI tools provide suggestions and automation but cannot replace strategic thinking or the need for agencies to deliver measurable results. Client relationships and performance accountability are key differentiators beyond AI-generated advice. Operational and Cultural Shifts in AI Integration Effective AI adoption requires organisational changes, education, and new governance models to manage risks and maximise benefits. Education and Awareness as Pillars (38:19, 52:52)Sunny and Eric emphasised educating leaders and teams about AI risks, responsible use, and security as foundational for successful adoption. Practical, jargon-free guidance helps organisations avoid pitfalls like shadow AI and data leaks. Trusted networks and expert advisories supplement internal knowledge.Governance and Contractual Updates (56:03)Organisations must update employment contracts and NDAs to address AI-related confidentiality risks and employee use of AI tools. Legal technologists with tech expertise are needed to craft effective agreements reflecting AI realities. This protects intellectual property and sensitive data in an increasingly AI-enabled workplace.Dynamic Monitoring and Continuous Security (48:52)Transitioning to continuous, dynamic security monitoring aligns with AI’s always-on nature, contrasting with traditional periodic checks. This shift demands new operational models and tools that can respond in real time to emerging threats. Companies like Cybersea are pioneering such approaches with AI-powered pen testing.Cultural Change in Problem-Solving and Collaboration (39:54, 41:36)Rob’s story of his neurodiverse head of strategy using Claude as a problem-solving partner illustrates new collaborative workflows enabled by AI. This highlights AI’s potential to support diverse thinking styles and innovation within teams. Encouraging experimentation with AI while maintaining strategic focus can unlock creative solutions. Future Outlook and Continuing Engagement The AI Dinner community is committed to ongoing dialogue, knowledge sharing, and practical experimentation to navigate AI’s fast-changing landscape. Ongoing Events and Workshops for Skill Building (10:30)Eric promotes upcoming executive briefings and “Ship an App in a Day” workshops to help newcomers gain hands-on AI skills, especially with Claude code. These initiatives support leadership literacy and practical capability building within the community. They also foster peer learning and networking among AI adopters.Community Networking and Knowledge Exchange (16:17, 58:58)Table networking sessions and the AI Dinner WhatsApp group encourage sharing experiences, challenges, and advice. This peer interaction accelerates learning and helps surface emerging use cases and best practices. The group reflects a collaborative culture focused on solving real-world problems with AI.Call for Strategic Clarity and Measurable Impact (38:21, 53:07)Participants repeatedly stressed the importance of clarity on problems before AI tool adoption and measuring impact rigorously. This mindset is crucial to avoid the “shiny object syndrome” and ensure AI investments yield tangible business returns. The community aims to elevate conversations from technology hype to strategic business value.Embracing AI as a Tool, Not a Solution (39:38, 40:55)The consensus encourages seeing AI as an enabler that must be integrated thoughtfully with human expertise and sound business models. This balanced perspective guides sustainable AI adoption that supports growth, innovation, and risk management over time. The AI Dinner platform serves as a venue for exploring this evolving narrative together. Action items Eric Schwartz Share information and discounts for upcoming executive AI leadership briefing and Claude code workshop with AI Dinner members (09:17) Sunny Vara Provide contact and network access for attendees to get help on AI security and governance journeys (39:54)Offer free AI health checks to assess organisational AI agent risks and stop rogue AI behaviours (47:14) Rob Morley Continue enhancing and securing proprietary AI tools OneSearch and PriceSense, including migrating to cloud infrastructure and improving security models (01:22:03)Prepare appropriate SaaS operational documentation (SLAs, team training) for AI tools offered to clients (01:24:51)Explore options and strategies for training clients to self-manage AI tools or maintain managed service model (01:27:40) All Participants Reflect on AI usage and related organisational risks, implement multi-factor authentication, secure passwords, and conduct regular dynamic penetration testing to mitigate cyber threats (36:41)Businesses integrating AI should perform supplier due diligence for third-party AI tools to reduce supply chain cyber risks (57:37)Marketing and PR professionals should quantify digital content placement value and monitor evolving AI-driven SEO and advertising trends (01:29:10)Leadership teams should prioritise strategic problem identification before deploying AI solutions to ensure meaningful value and revenue generation (01:39:38)