Top Google ranking factors for 2026. How to build AI SEO agents. What makes LinkedIn posts rank. Google pays publishers for AI use. Why most blogs underperform.
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Hi Marketers,
Welcome to the new issue of HighDegree*: Cutting Through the Noise in SEO & Digital Marketing
This week’s issue covers the data that matters right now. A fresh expert survey of 131 SEO pros breaks down which ranking signals drive results in Google. Alongside that, we look at how to build an AI SEO agent that doesn’t hallucinate your strategy away. Steve Toth tracked 60 LinkedIn posts ranking in Google and found some counterintuitive patterns about freshness, backlinks, and video. Google launched a pay-per-value licensing pilot for publishers who contribute content to AI responses. And Orbit Media’s 12-year blogging study reveals that only 13.9% of content marketers see strong results, and why most are betting on the wrong tactics.
Let’s jump in.
➞ Digital Marketing This Week
- 131 SEO Experts Reveal the Top Google Ranking Factors for 2026
- How to Build Your First AI SEO Agent Without Going Off the Rails
- What 60 LinkedIn Posts Ranking in Google Actually Have in Common
- Google’s New AI Licensing Pilot Pays Publishers for Content Used in AI Responses
- Blogging in 2026: Why 86% of Content Marketers Are Getting Weak Results
➞ Subscribe
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➞ 131 SEO Experts Reveal the Top Google Ranking Factors for 2026
Zyppy surveyed 131 SEO professionals and collected 13,665 data points across 100+ ranking signals. The result is the clearest picture yet of where experienced practitioners think Google places its weight.
Search intent match led at 57.1%. It measures how well a page answers what someone came to find. Backlinks ranked second at 54.8%, followed by content quality (47.6%), authority and trust (36.5%), and user behavior signals like click-through rates and pogo-sticking (29.4%).
Brand signals ranked sixth at 27%. Topical consistency and name recognition drive visibility in ways older metrics miss. Technical SEO came in at 17.5%, still important but treated by most pros as a baseline, not a differentiator.
On AI content, experts said quality matters far more than whether AI wrote it. High-quality AI output ranked above average human writing. And user task completion, whether visitors found what they needed, is now treated as a direct signal.
Read the full report from signal.zyppy.com ➞
If ranking factors tell you what Google rewards, a well-built AI SEO agent can help you earn more of those signals at scale.
➞ How to Build Your First AI SEO Agent Without Going Off the Rails
AI SEO agents can handle keyword research, competitor analysis, content decay detection, technical audits, internal linking at scale, and performance reporting. Semrush’s walkthrough covers the nine steps to build one that works without producing garbage.
The process starts with one workflow. Document how you do it manually, define your inputs and outputs, connect verified data sources (Semrush MCP, Google Search Console, Analytics), convert those steps into instructions, create a skill file, attach context, test thoroughly, then deploy and monitor.
What separates working agents from hallucinating ones is verified data sources and human oversight. Agents connected to live, structured data don’t need to guess, and human review steps catch errors before they compound.
The guide walks through a real three-stage content brief agent. It clusters GSC queries, runs keyword research, then generates a brief with competitor context. Each stage feeds the next. That kind of handoff is where agents earn their keep, clearing the repetitive work so you can focus on decisions that require judgment.
Read the full report from semrush.com ➞
Before you invest in building agents, though, it pays to know which platforms and formats Google is rewarding right now.
➞ What 60 LinkedIn Posts Ranking in Google Actually Have in Common
Steve Toth tracked 60 LinkedIn posts sitting in Google’s top 3 results for SEO-related keywords with 500+ monthly searches. The findings complicate some common assumptions.
Freshness dominates. Thirty-seven percent of posts dropped from the top 3 within one week, and 73% of current top-3 posts had entered within the last month. A small group held their positions for three to six months. What made the difference was backlinks, real ones from bloggers writing about the same topic. As Toth puts it: “Someone linking to it from a blog article is the difference between renting the spot and owning it.”
Word count had zero correlation with longevity (median 167 words). Video posts held rankings at a 93% rate versus 50% for text-only. And engagement (likes, reactions) acts as an indexing threshold, not a ranking signal. More likes does not mean a higher position.
Three practical moves: put your target keyword in the first line (it becomes the title tag Google crawls), use numbered lists for easy AI extraction, and link to your LinkedIn posts from your own website. That last step proves as valuable as a third-party backlink.
Read the full report from stevetoth.ai ➞
Google ranks content on those platforms. Now it’s starting to pay for it.
➞ Google’s New AI Licensing Pilot Pays Publishers for Content Used in AI Responses
Google launched a pilot program that pays publishers when their content substantially contributes to AI-generated responses in Gemini, AI Overviews, and AI Mode. Publishers see monthly earnings through a widget in their Search Console dashboard.
The early reception is mixed. Participants describe payment amounts as “lowball numbers” and note that the calculation methodology is opaque. You can see what you earned but not how Google arrived at the figure. One executive called it “quite black box.” Another said testing from inside the program beats waiting for old referral traffic economics to return.
The program has drawn more interest from small and mid-sized publishers than from large ones, who still have enough bargaining power to hold out for better terms. The program could also be infrastructure for usage-based payments that become mandatory down the line, particularly as regulatory pressure around AI content licensing grows in Europe.
The opt-out clause exists and is straightforward. Whether that’s reassuring or beside the point depends on how much you trust a calculation Google isn’t fully sharing with you.
Read the full report from digiday.com ➞
All of that only matters if your content program is working, and a new study suggests most aren’t.
➞ Blogging in 2026: Why 86% of Content Marketers Are Getting Weak Results
Marketers used AI to scale what wasn’t working, while dropping the strategies that produce results. Publishing frequency is down. Post length dropped from a 2023 peak of 1,427 words to 1,312. Time per post fell from 4 hours 10 minutes in 2022 to 3 hours 20 minutes now. Output got faster and cheaper, but weaker.
The highest-performing strategy in the study is influencer collaboration, at 37% strong results, 2.6 times the baseline. It’s also the tactic most abandoned over the past decade, down from 25% to 7% adoption. Original research delivers 50% above-average results and is also in steady decline. Human editing correlates with 26% strong results.
The clearest pattern is that the most effective strategies are the least used, and the easiest ones (social sharing, email blasts) are the most popular.
The study also shows a strategy density effect. Marketers using zero to one strategies report 4% strong results. Those using six or more report 39% strong results.
Read the full report from orbitmedia.com ➞
➞ From Google
Everything from Google search this week —
→ Gemini Notebook Pages Spamming Google Search (seroundtable.com) – AI-generated Gemini Notebook pages are appearing in Google Search results and being flagged by users as low-quality spam content.
→ Google AI Overview Links Pushing You To AI Mode Over Web Pages (seroundtable.com) – Google’s AI Overviews are now linking to AI Mode results rather than traditional web pages, reducing referral clicks to publishers.
→ Google testing “Dive deeper” for Google Discover – it’s not good for publishers (searchengineland.com) – A new “Dive deeper” feature keeps Discover users on Google’s platform instead of sending them to publisher sites.
→ Google Discover Test Adds Topic Overviews, Starting With Videos (searchenginejournal.com) – Google is testing topic overview panels in Discover that surface videos before linking out to external content.
→ Google Page Experience Docs Adds CrUX Ad Metrics (seroundtable.com) – Google updated its Page Experience documentation to include Core Web Vitals metrics specifically tracking ad loading performance.
→ Google Lighthouse Adds Audit For AI Agent Resource Discovery (searchenginejournal.com) – Google’s Lighthouse tool now audits whether your site’s robots.txt and resource files are accessible to AI agents.
→ Google Business Profiles Permanently Closed Option Gone? (seroundtable.com) – Several local SEO practitioners report that the “permanently closed” status option has disappeared from Google Business Profiles.
→ Google Business Profiles Email: Detected A Spike In Spam Reviews (seroundtable.com) – Google is sending email alerts to Business Profile owners warning of unusual spikes in spam review activity.
→ Google Analytics adds hostname allowlists to fight spam traffic (searchengineland.com) – GA4 now lets you define approved hostnames so bot and spam traffic from unauthorized sources doesn’t skew your reports.
→ Google Sponsored Results Sitelinks Tests More From Advertiser Name Title (seroundtable.com) – Google is testing a new ad sitelink format that includes the advertiser’s brand name in the headline.
→ Google Ads reframes Smart Bidding learning around 50 conversions (searchengineland.com) – Google updated Smart Bidding guidance to explicitly set 50 conversions per month as the minimum threshold for the algorithm to learn effectively.
→ Google May Be More Successful In Blocking Scrapers & Tracking Tools (seroundtable.com) – Reports suggest Google has improved detection of bot traffic and third-party tools attempting to scrape search data.
→ Google Search Bar Results Page Testing AI Mode Button (seroundtable.com) – Google is testing a direct button to AI Mode within the standard search results interface.
→ Google Responds To Cross-Domain Canonical De-Indexing Report (searchenginejournal.com) – Google addressed reports of cross-domain canonical tags causing pages to be de-indexed rather than consolidated.
→ Google updates Search profiles with design update, lower subscriber requirements and single login (searchengineland.com) – Additional coverage of the Search Profiles update covering the design refresh and new eligibility thresholds.
→ Google Search Profile Badges Expose The Publisher Traffic Crisis (searchenginejournal.com) – Analysis of which publishers are pushing Search Profile badges reveals how far referral traffic from Google has fallen for many sites.
→ Google Local Knowledge Panel As An AI Overview (seroundtable.com) – Google is experimenting with rendering local business knowledge panels inside AI Overview boxes rather than as separate results.
→ Google Sponsored Places That Expand On Hover (seroundtable.com) – Sponsored local place listings are now showing expanded details when users hover over them in search results.
→ Google: Google Search Console AI Position Reporting Will Evolve Over Time (seroundtable.com) – Google acknowledged that how AI Mode rankings are reported in Search Console will change as the product matures.
→ Google Admits Search Console Reporting For AI Search Is Inadequate (searchenginejournal.com) – Google confirmed that current Search Console data does not accurately reflect performance in AI Mode or AI Overviews.
→ Google Search Live Now Powered By Gemini 3.8 Live (seroundtable.com) – Google upgraded its voice and live search feature with Gemini 3.8 Live as the underlying model.
→ Google AI Mode More Query Expansion Interfaces (seroundtable.com) – Google AI Mode is testing new interfaces that expand queries into related topics and subtopics.
→ Google Search Update September 4th That Reverted September 13th? (seroundtable.com) – A ranking shift observed around September 4th appears to have partially reversed by September 13th.
→ Google AI Mode Tests Text Link Ads (seroundtable.com) – Google is testing plain text link ads inside AI Mode responses.
→ Google: Sometimes There Is No Absolute Right Answer For SEO (seroundtable.com) – Google’s John Mueller reiterated that many SEO questions don’t have a single correct answer and context always matters.
→ Google: The Old Position 1-10 Is Hard To Map For Site Owners (seroundtable.com) – Google acknowledged that traditional position rankings are increasingly hard to interpret given new SERP features and AI results.
➞ AI + Social
Find out what’s happening in the social media and artificial intelligence world —
→ GPT‑6 Sol and Luna is here (openai.com) – OpenAI launched GPT-6 in two variants: Sol, optimized for reasoning tasks, and Luna, designed for creative and conversational use.
→ Microsoft To Boost Copilot Discounts As It Launches AI ‘Super App’ (tradingview.com) – Microsoft is cutting Copilot pricing and consolidating its AI tools into a unified super app to compete with ChatGPT and Muse.
→ ChatGPT loses AI market share to Gemini and Claude as prompt share falls from 70% to 50% (firstpost.com) – ChatGPT’s share of AI prompts dropped from 70% to 50% as Gemini and Claude gained ground, per Comscore data.
→ ChatGPT Ads Climbed In 3 Retail Categories, Led By Gaming: Comscore (searchenginejournal.com) – Comscore data shows ChatGPT ads are most visible in gaming, with advertiser growth across three retail verticals.
→ Introducing Grok 4.7 (x.ai) – xAI released Grok 4.7 with improved reasoning capabilities and expanded real-time data access.
→ Meta’s Muse is outpacing ChatGPT’s early mobile launch (techcrunch.com) – Meta’s Muse AI agent surpassed ChatGPT’s early download pace in its first weeks on mobile.
→ Meta testing a ‘human concierge’ for its new personal AI agent, Muse (reuters.com) – Meta is piloting a human-backed support layer within Muse for queries the AI can’t handle confidently.
→ PayPal Allows Customers To Shop Worldwide Using Meta’s New AI Agent ‘Muse’ (ndtvprofit.com) – PayPal integrated with Muse so users can complete cross-border purchases directly through the AI agent.
→ Clients Want GEO, Freelancers Still Bet On SEO: Fiverr Survey (searchenginejournal.com) – A Fiverr survey found clients increasingly requesting Generative Engine Optimization (GEO) services while freelancers are still focused on traditional SEO.
→ Threads advertisers will no longer need an Instagram account (socialmediatoday.com) – Meta is removing the requirement for Threads advertisers to have a linked Instagram account.
→ Threads adds sticker options for bios (socialmediatoday.com) – Threads rolled out new sticker elements that users can add to their profile bios.
→ X Numbers officially launch (socialmediatoday.com) – X’s new “Numbers” feature, which highlights verified metrics on posts, is now available to all users.
→ X shares more insight into penalties impacting post reach (socialmediatoday.com) – X published additional details about the types of behavior that trigger reach penalties on the platform.
→ XChat disappears from app stores (socialmediatoday.com) – X’s standalone messaging app, XChat, has been removed from the App Store and Google Play.
→ LinkedIn ditches post enhancement, launches Post Proofreader (socialmediatoday.com) – LinkedIn replaced its AI post-enhancement tool with a more focused Post Proofreader for grammar and clarity.
→ LinkedIn tests Network tab to encourage engagement among connections (socialmediatoday.com) – LinkedIn is testing a dedicated Network tab to surface updates from connections and prompt more direct interactions.
→ Pinterest offers predictive optimization for Performance+ (socialmediatoday.com) – Pinterest’s Performance+ ad product now includes predictive optimization to improve targeting efficiency.
→ YouTube executives share strategies on channel pivoting (socialmediatoday.com) – YouTube execs discussed how creators can successfully shift their content focus without losing existing audiences.
→ Meta adds Threads-specific permissions for businesses (socialmediatoday.com) – Businesses can now set Threads-specific access permissions separately from their broader Meta account settings.
→ Amazon blocks Meta’s Muse AI assistant in new standoff over agentic shopping (geekwire.com) – Amazon blocked Muse from accessing its product listings in a dispute over AI agent-driven shopping.
→ OpenAI Testing Sponsored Agents For ChatGPT Ads (seroundtable.com) – OpenAI is piloting sponsored AI agents within ChatGPT that advertisers can integrate into chat responses.
→ OpenAI is turning ChatGPT ads into conversations (searchengineland.com) – ChatGPT’s new ad format lets advertisers participate in relevant user conversations rather than running static display ads.
→ AI Citation Test Finds Source Order Matters Less Than It Looks (searchenginejournal.com) – New research found that where a source appears in AI training data has less impact on citation frequency than previously assumed.
→ Facebook Pages get charged for link posts (socialmediatoday.com) – Facebook is testing a model where Pages pay for visibility when posting external links.
→ Threads’ new features let podcasters promote shows and reach listeners (techcrunch.com) – Threads added tools for podcasters to create show pages and promote episodes directly to Threads users.
→ Meta adds simplified third-party AI support to WhatsApp (socialmediatoday.com) – Meta opened WhatsApp to third-party AI assistants, letting users choose from supported AI tools within the chat interface.
→ Instagram collab posts drive higher organic engagement across brand sizes (emplifi.io) – Emplifi research shows Instagram Collab posts consistently generate higher organic reach than standard posts across brand categories.
→ Reddit AI Search Picks Already-Popular Comments, Audit Finds (searchenginejournal.com) – An audit found Reddit’s AI search feature disproportionately surfaces comments with existing high vote counts.
→ Anthropic Shares Power Prompts That Improve AI Results (searchenginejournal.com) – Anthropic published a set of high-performance prompting techniques that consistently improve Claude’s output quality.
→ Microsoft Advertising sets rules for AI-generated ads (searchengineland.com) – Microsoft Advertising introduced new policies governing how AI can be used to create and target ads.
→ Cloudflare Lets Sites Disallow AI Training Without Blocking Googlebot (searchenginejournal.com) – Cloudflare’s new controls let site owners block AI training crawlers without affecting Google or other major search bots.
→ Threads might be bigger than X, says Zuckerberg (socialmediatoday.com) – Zuckerberg claimed Threads may already have surpassed X in active user count based on internal metrics.
→ Meta launches subscriptions with enhanced AI features (reuters.com) – Meta rolled out a paid subscription tier across its apps, with exclusive AI features as the primary selling point.
→ Meta now lets AI agents handle the boring parts of WhatsApp Business setup (techcrunch.com) – WhatsApp Business onboarding now includes AI agents that automate initial account configuration steps.
→ Meta adds more creator partnership tools (socialmediatoday.com) – Meta expanded its creator partnership features with new options for brand collaborations and revenue sharing.
→ Facebook ad costs fall as traffic and lead performance improves: Report (searchengineland.com) – A new report shows Facebook ad costs have declined while click-through rates and lead quality have improved.
→ ChatGPT Shopping Results Lean Hard On Product Feeds (searchenginejournal.com) – Analysis shows ChatGPT’s shopping recommendations rely heavily on structured product feed data over editorial content.
→ Amazon gives OpenAI’s ad business a boost, letting its advertisers into ChatGPT (cnbc.com) – Amazon opened its advertiser network to ChatGPT, allowing Amazon sellers to run ads in ChatGPT conversations.
→ Meta’s AI agent Muse is now the No. 2 app in the US (techcrunch.com) – Meta’s Muse climbed to the number two spot on US app store charts within weeks of its launch.
→ Instagram chief warns against eliminating algorithms (socialmediatoday.com) – Instagram head Adam Mosseri argued that removing algorithmic ranking would harm most creators rather than help them.
→ Snapchat expands Dynamic Product Ads to Sponsored Snaps (socialmediatoday.com) – Snapchat rolled out Dynamic Product Ads into its Sponsored Snaps format, targeting users based on shopping behavior.
→ Pinterest shares insights into men’s trends (socialmediatoday.com) – Pinterest published trend data focused on men’s categories, highlighting growth areas for advertisers targeting male audiences.
→ YouTube Gives You Feedback On Shorts Before Publishing (searchenginejournal.com) – YouTube’s new feature reviews Shorts before publishing and provides performance predictions and optimization suggestions.
→ Meta debuts its Muse AI agent. Will consumers trust it? (techcrunch.com) – TechCrunch examined consumer sentiment around Muse at launch, finding cautious optimism alongside privacy concerns.
→ ChatGPT 5.6 has transformed Shopping mode (tryprofound.com) – A detailed look at how ChatGPT 5.6’s updates changed the Shopping mode experience for both users and advertisers.
→ Reimagining advertising with AI (openai.com) – OpenAI’s perspective on how AI-native advertising formats will replace traditional display and search ads.
➞ Worth Reading
These are the articles that will help you refine your marketing knowledge —
→ The Tactical Guide to Optimising for Google Discover (speakerdeck.com) – A presentation deck with actionable tactics for growing traffic from Google Discover, covering content types, image optimization, and freshness signals.
→ International SEO for Publishers: How To Succeed Across Borders (seoforgooglenews.com) – A detailed guide to setting up hreflang, managing geo-targeting, and building topical authority across multiple country editions of a news or content site.
→ What Wikipedia Reveals About AI Overviews And Web Traffic (searchenginejournal.com) – Research on how Wikipedia’s traffic changed as Google AI Overviews expanded, offering a data-driven look at how AI answer results are reshaping click behavior.
→ Almost 100% Of People Also Ask Results Are Answered By Google AI Overviews (seroundtable.com) – New data showing that virtually all “People Also Ask” questions are now answered directly by AI Overviews, with almost no click-through to the underlying sources.
→ Two Truths and a Lie About Digital PR (moz.com) – A contrarian breakdown of three widely-held beliefs about digital PR and link building, clarifying which ones hold up and which are myths.
→ When Attribution Looks More Precise Than The Data Behind It (searchenginejournal.com) – An analysis of how modern attribution models can appear statistically reliable while hiding significant data quality problems underneath.
→ The State of Ecommerce 2026 (similarweb.com) – Similarweb’s annual ecommerce report covering the biggest shifts in online shopping traffic, platform performance, and category trends through mid-2026.
➞ What This All Means for Your Strategy
The through line across all five pieces this week is precision over volume. Google’s ranking data rewards intent and user satisfaction first, well ahead of content count or technical optimization. AI agents succeed when they run on verified data with human oversight. LinkedIn posts earn durable rankings by attracting backlinks from bloggers, not by accumulating likes. Google’s licensing pilot signals that your content has quantifiable AI value, even when the current payouts don’t reflect it yet. And the most effective blogging strategies are the ones requiring the most work per piece: original research, influencer partnerships, rigorous editing. The data says do fewer things and spend more time on each one.
Until next week,
— Nishat from HighDegree* Marketing
P.S. Have a question about implementing these strategies? Hit reply – we read every email and often feature reader questions in future issues.
➞ Who is Nishat Shahriyar?
I’ve been a Digital Marketing Strategist since 2007. Today I’m the Product Marketing Lead at Fluent Forms (a WordPress form and lead-generation plugin used by 700K people), FluentPlayer (a WordPress Video Player Plugin) and Ninja Tables (a WordPress table builder plugin used by 80K people). Before that, I led marketing at Fluent Support (a WordPress helpdesk plugin used by 10K people).
Connect with me on LinkedIn or follow me on X/Twitter at @rednishat for SEO & Marketing updates.