10 AI-Powered SEO Workflows the Experts Use to Automate, Scale & Win in 2025

AI is revolutionizing SEO, but are you using it like the experts?

Join Jon Earnshaw (Pi Datametrics) and Steven Schneider (Founder, TrioSEO) as they reveal the exact AI-powered strategies they use daily to streamline SEO, boost efficiency, and maximize search visibility.

On the agenda:

10 new expert-approved AI workflows – that drive real results
Expert-crafted AI prompts & automation techniques for smarter SEO execution
The do’s and don’ts of AI-powered SEO – what actually works (and what doesn’t)
LIVE demos of AI tools in action – so you can see how they work in real time
Exclusive AI resources & GPTs – FREE for attendees

Overview

Generative AI has shifted from a novel experiment to a core capability within modern search engine optimization (SEO) workflows. Hosted by Jon Earnshaw and Steven, this live technical session demonstrates how search teams can construct Custom GPTs, utilize Gemini Advanced Deep Research to build topical authority, deploy instant SERP scrapers, and structure AI outputs to maintain human-led content quality.

Executive Summary

AI is not a replacement for human strategic thinking or authentic content creation; rather, it is an essential toolkit extension that scales data analysis, competitive research, and workflow execution. From scraping multi-element search engine results pages (SERPs) in seconds to reverse-engineering competitor intent, custom AI workflows allow SEO teams to automate repetitive tasks and focus on high-impact strategic growth.

Key Takeaways

AI as an Extension, Not a Replacement: Successful SEO strategies rely on human expertise, verified author signals, and authentic content. AI excels at rapid data crunching, formula generation, competitive research, and initial content outlining.
Deep Research for Topical Authority: Using advanced AI research tools (such as Gemini Advanced Deep Research), teams can analyze hundreds of web assets, YouTube videos, and forum discussions simultaneously to extract core themes, intent layers, and sub-topics in minutes instead of days.
Instant SERP Analysis via Bookmarklets: SEOs can deploy custom JavaScript bookmarklets to scrape full SERP environments (including Answer Cards, People Also Ask boxes, and video carousels) directly into memory and feed the structured data into Custom GPTs for automated gap analysis.
Rethinking Content Outlines: Relying on generic, “vanilla” AI text risks algorithmic suppression. Instead, use Custom GPTs to generate structural outlines (incorporating statistics, pros/cons, and tables), and use custom instructions in models like Claude to shape tone, eliminate AI jargon, and match brand voice.
Protecting Proprietary Custom GPTs: Custom GPTs built for agency or internal use must be secured with lockdown scripts to prevent external users from reverse-engineering core prompts, system instructions, or uploaded knowledge files.

4 Core AI-Driven SEO Workflows

+-------------------------------------------------------------------------+
|                         THE AI SEO WORKFLOW                             |
+-------------------++--------------------+-------------------------------+
| 1. RESEARCH       || 2. ANALYSIS        || 3. CONTENT OUTLINING         |
| Deep Research     || SERP Scraping      || Structure & Topic Clusters   |
| Topic Clusters    || Competitor Gaps    || Custom Instruction Shaping   |
+-------------------++--------------------+-------------------------------+
                    || 4. UTILITIES & AUTOMATIONS                         |
                    || Custom GPTs, Formulas & Scripts                    |
                    +-----------------------------------------------------+

Research (Deep Topic Discovery): Feed broad topic briefs into deep research models to extract long-tail search intent, audience anxieties, and source references across fast, authentic web channels.
Analysis & Insight (SERP Deconstruction): Capture live SERP layouts using custom browser tools, automatically extract People Also Ask queries, and benchmark target pages against Google’s helpful content guidelines.
Content Outlining & Strategy: Use AI to draft initial topic frameworks, section headings, and snippet-targeted summaries before handing off to human writers for primary drafting and editorial review.
Utilities & Automations: Build specialized Custom GPTs to automate repetitive tasks like writing Google Sheets formulas, generating Schema markup, or auditing author credentials.

Best Practices for Humanizing AI-Assisted Output

Eliminate Overused AI Jargon: Instruct models explicitly to remove repetitive “AI words” such as landscape, delve, tapestry, testament, first and foremost, and paradigm shift.
Feed Personal Style Inputs: Train Custom GPTs or Claude models using transcripts or videos of your team’s real speaking style to generate drafts that match your authentic voice.
Integrate Multi-Format Elements: Ensure every piece of content includes original imagery, clear author bios, verified publication dates, TL;DR summaries, and structured tables.

Jon Earnshaw

Co Founder & Chief Product Evangelist