I watched Kyle Roof talk through SEO ranking factors on the Odys Podcast and it hit at the right time. Teams are still chasing outdated checklists while AI Overviews quietly decide who gets quoted and who gets skipped. Here’s the video and why I care: if your pages aren’t unique, task-fit, and citation-ready up top, you’re not just losing blue-link clicks, you’re getting edited out of the answers that matter. 🎯
I’m not recapping their chat line by line. I’m using the topic to show what I’m shipping on live sites, and why these moves are measurable, defensible, and worth your next 30 days. If you need a compass for what Google rewards now, think information gain, intent-matched formats, accountable authorship, clean internal architecture, and technical hygiene. Schema is eligibility, not a throttle.
- Top takeawayPrioritize information gain, intent-fit formats, and citation-ready structure before tinkering with marginal technical tweaks.
- Second order effectPages that answer cleanly get linked/cited more, which compounds authority and improves crawl efficiency.
- Practical moveShip a monthly “evidence pass” on top pages: sources, data points, who said what, and why the claim is justified.
What “ranking factors” really means now
Most folks still picture a static list. That’s wrong. Signals compound and SERP contexts shift. Helpful page plus strong information gain plus credible source plus fast render plus matching intent type equals lift. Miss one and the other four rarely bail you out.
The AI layer made this obvious. Citations in AI Overviews are a byproduct of authority, clarity, and answerability. If your best page can’t be quoted cleanly, it won’t be. Google treats AIO as a core feature in the U.S. and says it shows supporting links to sources in its AI answers, prominently and clickable. Build pages that surface as sources, not just rank. 🔎 Help doc, AI features guidance. (support.google.com)
Independent data is mixed on impact, but multiple 2026 studies show materially lower organic CTR when AIO appears (methods vary): Ahrefs, a May to Aug 2026 academic preprint on click behavior (arXiv), and Seer’s 2026 update across client data (Seer). That’s not doom, it’s a design constraint. Make your page the one they cite. (ahrefs.com)
Also, Google’s March 2024 core + spam updates tightened what gets rewarded. More helpful and original content. Enforcement against scaled content abuse, site reputation abuse, and expired domain abuse. “Helpful content” isn’t a separate system anymore, it’s folded into core signals. Sources: Google blog and Search Central plus the ranking systems guide. (blog.google)
| What to ship this month | Why it matters now |
|---|---|
| Rewrite top 10 money pages for information gain and citation-ready intros | Clear, quotable claims improve both classic snippets and AI Overviews |
| Add comparison blocks and calculators where intent implies decisions | Utility wins links and captures long‑tail decisional queries |
| Map internal anchors to one canonical per topic | Consolidates signals and clarifies relevance |
| Run index hygiene and CWV fixes on templates, not just pages | Lifts many URLs at once and removes crawl waste |
Does schema improve rankings?
No direct boost. It affects eligibility for rich results and clarity. Weak content with perfect schema still underperforms.
How do I prioritize Core Web Vitals fixes?
Fix templates before single URLs. Target INP, LCP, and CLS to pass “good” at the 75th percentile. Align fixes to layouts that power your revenue pages.
How do I get cited in AI Overviews?
Make the intro clean and scoped, back claims with sources, answer in 1–2 crisp sentences, and structure sections that match the question. You can’t force citations, but you can be the obvious choice.
Is E‑E‑A‑T a score?
No. Treat it as quality principles expressed through many signals (authorship, sourcing, reputation, freshness).
What’s the fastest internal linking win?
Pick one canonical per topic and map 5–10 descriptive anchors from support pages to it. Remove or retitle duplicate “insights.”
- Google AI Overviews help page (support) (https://support.google.com/websearch/answer/14901683)
- Google Search March 2024 core update and spam policies (https://blog.google/products-and-platforms/products/search/google-search-update-march-2024/)
- Core Web Vitals thresholds and INP (web.dev) (https://web.dev/articles/defining-core-web-vitals-thresholds)
- Helpful content guidance and E‑E‑A‑T (https://developers.google.com/search/docs/fundamentals/creating-helpful-content)
- Structured data policies and rich result eligibility (https://developers.google.com/search/docs/appearance/structured-data/sd-policies)
- Featured snippets documentation (https://developers.google.cn/search/docs/appearance/featured-snippets)
- Canonicalization best practices (https://developers.google.com/search/docs/crawling-indexing/canonicalization)
- SEO Starter Guide (internal links importance) (https://developers.google.com/search/docs/fundamentals/seo-starter-guide)
- FAQ/HowTo result type changes (https://developers.google.com/search/blog/2023/08/howto-faq-changes)
- AIO CTR impact studies (Ahrefs; arXiv; Seer Interactive) (https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/), (https://arxiv.org/abs/2608.04831), (https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-2026-update)
- Preferred Sources announcement (2026) (https://blog.google/products-and-platforms/products/search/original-high-quality-content-search/)
The short list: signals I still see Google reward in 2026
- Information gain over rehash
If your article sounds like the first page, it’s redundant. Add firsthand experience, original data, or a crisp decision tree. I like side by side comparisons with explicit tradeoffs. 🧪
- Task-matched format
Search intent isn’t just a label, it dictates format. Use checklists for “how to,” pricing tables for “cost,” calculators for “estimate,” and short, definitive answers above the fold for “what is.” Featured snippets favor concise, self contained statements (Google docs).
- Experience and accountability
Real names, roles, and revision history. Tie claims to sources or in house data. E‑E‑A‑T isn’t a score or standalone ranking factor, but Google’s systems use signals that line up with it, especially for YMYL topics (creating helpful content).
- Link earning via utility
Tools and templates move mountains compared to another 2,000 word explainer. Even a small calculator with clear constraints beats fluff. 📈
- Clean architecture and internal links
One canonical target per topic, clustered support pages with descriptive anchors. Avoid orphaned “insights.” Canonicalization and consolidation patterns matter (consolidate duplicates, canonicalization). Internal links help Google make sense of your site (link best practices, SEO starter guide).
- Technical basics that still matter
Core Web Vitals to “good,” render integrity with no CLS traps, consistent canonicalization, and index hygiene. INP replaced FID in Core Web Vitals in 2024, so fix input latency at the template level. 🧰
- Structured data for eligibility, not rankings
Schema won’t save weak content. It decides if you’re even eligible for certain displays. Mark up the entities you actually satisfy.
How I’d ship this in the next 30 days
- Run a fast, defensive audit of your revenue pages for duplication, cannibalization, thin sections, and ambiguous intros. If you need a framework, this is what I use day to day: our SEO Audit service. (/services/seo-audit)
- Target 5 “answer pages” to be cited by AI Overviews. Make the opening 2 to 3 sentences factual, source backed, and scoped. Then read this and tune for citation surfaces: AI Search vs SEO: How to Get Cited by AI Overviews. (/blog/ai-search-get-cited-by-ai-overviews)
- Instrument AI displacement tracking so you don’t misread losses. If you don’t have a proxy yet, start here: Track AI Search Traffic in GA4 — How to Build a Defensible Proxy. (/blog/track-ai-search-ga4-proxy)
- Check your brand’s presence across AI assistants with something objective. Use the AI Visibility Checker to see where you actually show up. (/tools/ai-visibility) 🧭
Bottom line
If it’s not unique, useful, and quotable, it’s replaceable. The ranking factors that still move the needle haven’t changed as much as how they’re weighted and displayed. Focus on information gain, task fit formats, and clear author accountability, then harden the template level technicals. That’s how you keep and win surface area across classic blue links and AI experiences.
// My reaction
The replaceable content facepalm
Tie this back to practice: build pages that can be cited, ship small tools that earn links, and set up telemetry that separates AI displacement from real losses. That’s SEO and GEO in an AI world, without the guesswork.
