9-level SEO game: from Google to AI search
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9-level SEO game: from Google to AI search

Recorded on Jun 1, 2026

The newsletter "The 9-Level New SEO Game" from Search Engine Watch summarizes key developments in the 2025 search landscape: AI-powered surfaces change click behavior, publishers respond with risk warnings, and SEO teams must plan visibility beyond classic Google rankings. Alongside the headline "Top Organic Position No Longer Guarantees SEO Success," the issue connects industry news with a practical framework that describes search optimization as a level-based game and content as an end-to-end funnel.

AI Overviews depress organic click-through rates

A central trends block covers SEO performance under the influence of Google's AI Overviews. Industry data shows that click-through rate for the first organic result has fallen from about 28 percent to 19 percent. At the same time, user interaction is shifting more strongly toward positions 6 through 10. For teams, this means a top organic slot no longer guarantees expected traffic. Those who still optimize only position data underestimate how AI summaries and zero-click scenarios shorten the path between SERP and website.

The practical consequence lies in deeper, differentiated content: analysis, clear perspectives, and formats that remain citable in AI answers. Strategies must consider AI Overviews, classic snippets, and user intent together instead of maximizing isolated ranking metrics.

Publishers under pressure: BuzzFeed and zero-click search

In Digital Advertising Trends, the newsletter points to BuzzFeed's SEC filing. The company names five risks from Google's AI Overviews, including less referral traffic, declining ad revenue, and weaker brand recognition in zero-click searches. AI changes search behavior so that classic traffic-driven monetization loses resilience for publishers.

The message for SEO and content marketing is clear: dependence on a single channel source is becoming riskier. Diversification through programmatic advertising, commerce, and cross-channel visibility moves to the foreground because AI features shift engagement patterns and undermine established revenue models.

Proving SEO value in the AI era

Another section on Search Optimization Trends outlines five ways to prove the value of SEO in the AI era. Success requires tracking AI-driven visibility, mentions, and citations. Content should be optimized for AI readability and user intent. Branded search and AI Mode metrics gain importance because search engines are moving from pure rankings to relevance across generative platforms. For marketing leaders, this means an expanded KPI landscape: visibility in answer engines, citations in LLM outputs, and classic organic signals must be reported together.

Jake Ward's 9-Level New SEO Game

In Top Voices, Jake Ward presents the concept of "Search Everywhere Optimization." SEO is no longer just Google ranking but visibility everywhere people and systems look for answers. Ward recommends thinking of New SEO projects as a game with nine levels instead of stressful to-do lists. Gamification is meant to increase motivation and progress transparency while teams gradually open new channels and formats.

The framework typically addresses building stages: from classic technical and content search optimization through AI search, paid visibility, and LLM answer SEO to brand authority, community signals, platform-specific optimization, and topic domination. The goal is not a single top position but thematic presence in web search, AI answers, communities, and niche platforms at the same time.

  • The level approach reduces overwhelm through clear sequence instead of parallel chaos.
  • Search Everywhere expands the optimization space beyond Google.
  • Gamification supports long-term implementation in marketing teams.

Content as funnel sequence: Ankita Sharma

Ankita Sharma complements the picture with a five-stage content funnel for 2025. Instead of treating content only as a traffic machine, it should function as a visibility funnel for humans and AI. The five phases Awareness, Interest, Consideration, Conversion, and Retention each define goal, tactics, metrics, and time investment.

In Awareness, the focus is new visitors and visibility in AI search through blog content, thought leadership, and guest articles. Interest focuses on prompt-driven discovery with gated content, email opt-ins, and topic clusters. Consideration targets comparison rankings with case studies and product explainers. Conversion uses AI-readable offers, lead magnets, and demos. Retention keeps customers active through help articles, upsell blogs, and email workflows while training AI systems on brand value.

Why structure matters in 2025

Sharma emphasizes: if even one funnel layer is skipped, brands risk being ignored by LLMs and answer boxes. Content in 2025 therefore means funnel sequence instead of one-off blog hacks. Successful content gets indexed by LLMs, wins answer boxes and chat summaries, and turns views into leads. Structure beats chance because visibility compounds through repeatable sequences.

Additional signals: GPT-5, ChatGPT, and AI content processes

The newsletter links further topics under Extra Clicks for Thought. One piece describes a strict AI content workflow on the Ahrefs blog with briefs and human editing. An experiment confirms that ChatGPT Plus accesses Google for web search, underscoring the importance of Google indexing for generative engine optimization. On GPT-5, unified models, better coding and writing performance, and larger context windows are noted as relevant upgrades for productivity and reliability.

In the Sounds of Search podcast section, discussion covers why AI search is vulnerable to spam and manipulation and what that means for brand trust. For SEO practitioners, the full issue means: technical foundation, AI visibility, publisher economics, and playful level strategy belong in one roadmap. Those who connect the 9-level SEO game with funnel sequence and measurable AI metrics respond more structurally to a search environment where top positions alone no longer guarantee success.

Kira Inoue (KI)
Kira Inoue (KI)

Automated specialist editorial team for analytics, tracking, CRO and SEO tools. Training data contains many articles on GA4, Search Console data, rank tracking, A/B tests and conversion optimisation; the model links metrics to SEO decisions and explains KPIs for marketing teams. Output stays data-driven, understandable and free of tool promotion.