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From 10 epsHost
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Recent episodes
Exploring the journey from clicks to conversion
May 21, 2026
36m 54s
How to create content that connects, converts, and scales - Nuno Bamberg
Apr 30, 2026
22m 49s
When Visibility Backfires: Managing Brand Sentiment in the AI Search Era
Feb 11, 2026
24m 14s
From Layoffs to Leads: Building a Thriving SEO Consulting Practice Today | Ep. 32
Dec 10, 2025
33m 55s
From Vanity to Value: Rethinking Digital Performance Metrics in a GenAI World with Scott Lux | Ep. 31
Dec 3, 2025
29m 42s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 5/21/26 |  Exploring the journey from clicks to conversion✨ | AI-driven shifts in customer intentZero-click search+3 | Jonathan Richards | AudibleAmazon | — | AISEO+5 | — | 36m 54s | |
| 4/30/26 |  How to create content that connects, converts, and scales - Nuno Bamberg✨ | human intent in SEOcontent creation+3 | Nuno Bamberg | Sleep Country CanadaMastercard+3 | — | SEOcontent marketing+5 | — | 22m 49s | |
| 2/11/26 |  When Visibility Backfires: Managing Brand Sentiment in the AI Search Era✨ | AI searchbrand visibility+4 | Daniel Horowitz | InformaticaSimpleTiger+5 | — | AI searchSEO+5 | — | 24m 14s | |
| 12/10/25 | From Layoffs to Leads: Building a Thriving SEO Consulting Practice Today | Ep. 32✨ | SEO consultingmarket turbulence+4 | Emanuel (Alexandru) Petrescu | ResultFirst | RomaniaToronto | SEOconsulting+5 | — | 33m 55s | |
| 12/3/25 | From Vanity to Value: Rethinking Digital Performance Metrics in a GenAI World with Scott Lux | Ep. 31✨ | digital performance metricse-commerce+5 | Scott Lux | TikTokInstagram+3 | Dallas, TexasBirmingham, Alabama+1 | digital metricscustomer behavior+6 | — | 29m 42s | |
| 11/19/25 | When AI Eats the Middle: Rethinking Local SEO as the Buyer Journey Goes Conversational | Ep. 30✨ | Local SEOAI in buyer journey+3 | Fred Shramovich | ResultFirst | — | local SEOAI assistants+3 | — | 26m 02s | |
| 10/29/25 | Inside TechTarget's Massive SEO Cleanup: The Case Study You've Never Heard (with Jenny Waggenheim) | Ep. 29✨ | SEOcase study+3 | Jenny Waggenheim | TechTarget | — | SEO cleanuporganic traffic+3 | — | 38m 02s | |
| 10/8/25 | Scaling SEO Through Team Transitions: How Collaboration Fuels Long-Term Search Growth With Natalia Matos | Ep. 28✨ | SEOteam transitions+5 | Natalia Matos | Quadient | — | SEOleadership transitions+7 | — | 22m 37s | |
| 10/2/25 | First AI Checkout: How eCommerce Brands Must Ready Themselves for Black Friday 2025 | Ep. 27✨ | AI in e-commerceChatGPT Buy It integration+4 | — | ChatGPTOpenAI | — | AI shoppinge-commerce strategy+5 | — | 6m 54s | |
| 9/10/25 | The Hidden Leaks in SEO Budgets: What Your CMS and CDN Aren't Telling You | Ep. 26✨ | SEO budgetsCMS limitations+4 | — | Google's Mobile-Friendly TestResultFirst+2 | — | SEO performancebudget leaks+6 | — | 6m 01s | |
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| 9/5/25 | 7 Hard SEO Questions CMOs Are Finally Asking — And What to Do About Them | Ep. 25 | On this solo episode of Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/?utm_source=chatgpt.com] takes on seven of the toughest SEO questions she hears every week from CMOs, VPs, and growth leaders across SaaS, e-commerce, and multi-location businesses. With no fluff and all tactics, Ruchi lays out why flat traffic with falling conversions signals an intent mismatch, what really determines visibility in AI overviews, and how multi-location SEO can quickly turn chaotic without a hub-and-spoke approach. She makes a strong case for bringing SEO into product roadmap conversations early, reframing reporting around revenue impact, and using AI as a multiplier — not a miracle. The thread running through all seven answers: moving from keywords to concepts and making your expertise unavoidable in both search engines and AI systems. 📌 What We Cover * Why flat traffic plus falling conversions is a red flag, and how to fix intent-page mismatches with CRO elements and micro conversions * How authority signals and third-party mentions determine visibility in AI overviews, not just keyword counts * The hub-and-spoke model for multi-location SEO, dynamic templates, and consistent NAP management * Where AI content adds value — long-tail terms, refreshing outdated articles, and structured templates with human review * Why SEO should sit in product roadmap meetings before launch, with landing pages and schema ready in advance * How leadership wants to see SEO reporting framed around pipeline, revenue, and the V.O.L.T. model (Visibility, Outcomes, Leads, Transactions) * The shift from keywords to entities — building topical clusters, schema markup, and authoritative brand mentions 🔗 Resources * ResultFirst [https://resultfirst.com?utm_source=chatgpt.com] * Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/?utm_source=chatgpt.com] If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 7m 48s | ||||||
| 8/27/25 | The VOLT Framework: How SEO Visibility Really Drives Revenue | Ep. 24 | Performance SEO Unpacked with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] explores a simple yet powerful framework for connecting search visibility with real business growth. In this solo episode, Ruchi introduces VOLT — Visibility, Outcomes, Leads, Transactions — a model designed to close the gap between "we are ranking" and "we are growing revenue." ㅤ She explains why most SEO teams stall at visibility, overlooking outcomes, leads, and transactions, and shows how to connect content performance with conversions. From multi-channel visibility across Google, ChatGPT, Gemini, Reddit, and YouTube to tracking ripple effects and stitching data into CRM systems, Ruchi demonstrates how VOLT transforms SEO into a true growth engine. ㅤ Listeners will learn how to move beyond traffic metrics, defend SEO budgets, and measure influence even when traditional clicks decline. ㅤ 📌 What We Cover * Why most SEO teams stop at visibility and lose the thread on business outcomes * The meaning of VOLT: Visibility, Outcomes, Leads, Transactions * Multi-channel search visibility across Google, ChatGPT, Gemini, Reddit, YouTube, and TikTok * Tracking the ripple effect of outcomes beyond the first click * Connecting SEO-influenced leads to CRM data and attribution * Revenue tagging: aligning keyword clusters with pipeline data * Example of using VOLT to track AI mentions and defend SEO budgets * How VOLT reframes SEO from a cost center to a growth engine ㅤ 🔗 Resources Mentioned * VOLT downloadable worksheet (DM "VOLT" to Ruchi on LinkedIn) * ResultFirst [https://resultfirst.com]: Visit for more SEO tips and strategies * Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO | 7m 09s | ||||||
| 8/13/25 | AI or Not, Authority Wins: Structuring Enterprise Content for Search and Sentiment | Ep. 23 | Enterprise SEO can get messy fast — five business units, hundreds of stakeholders, and AI reshaping what shows up in search. On Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] sits down with Joe Bare [https://www.linkedin.com/in/joe-bare/] to unpack what it really takes to build authority when visibility doesn't always mean clicks. ㅤ Joe, who has led strategy across industries from travel to healthcare to SaaS, now works in enterprise risk intelligence — and is redefining how websites function in a zero-click, AI-driven search environment. From shifting SEO from a performance channel to a branding play, to navigating the politics and precision of keyword governance, Joe shares concrete strategies for making content discoverable by both search engines and LLMs. ㅤ Expect a candid discussion on deep content creation, measuring LLM visibility, embracing conversational search, and breaking the myth that SEO is something you "add" at the end. ㅤ 👤 Guest Bio Joe Bare [https://www.linkedin.com/in/joe-bare/] is a digital marketing and SEO leader with experience spanning travel, healthcare, SaaS, financial services, and enterprise risk intelligence. Currently with LexisNexis Risk Solutions, Joe's insights are his own and draw on years of building authority signals, managing complex content strategies, and navigating the unique challenges of enterprise SEO. ㅤ 📌 What We Cover * How AI overviews and chat applications are changing authority signals and SEO measurement * Shifting from lead-generation websites to branding engines in a zero-click search world * Creating deep, broad topic coverage to earn citations from LLMs like ChatGPT, Gemini, and Perplexity * Moving from gated content to open access for better LLM pickup and recognition * Measuring success through LLM visibility, log file analysis, and content referenced by AI * Avoiding keyword cannibalization across multiple business units with overlapping solutions * Leveraging conversational search intent to target long-tail, context-rich queries * Building authority through expert-driven content, schema markup, and trusted third-party sources * Why SEO must be embedded from the start, not "added" after content is created ㅤ 🔗 Resources Mentioned * ResultFirst [https://www.resultfirst.com] – Visit for more SEO tips and strategies. * Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO * Connect with Joe Bare [https://www.linkedin.com/in/joe-bare/] on LinkedIn ㅤ If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 20m 28s | ||||||
| 8/6/25 | What Makes You Mention-Worthy? Winning Search Visibility in an AI-First World | Ep. 22 | In this episode of Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] sits down with Derek Woo [https://www.linkedin.com/in/derekwoo/], Director of Search Engine Optimization and App Store Optimization at Albertsons Companies [https://www.albertsonscompanies.com/home/default.aspx]. Derek's deep SEO experience dates back to the early days of the internet, even before the term SEO was coined, giving him a unique perspective on the evolution of search. Together, they explore how AI and large language models (LLMs) are reshaping SEO strategies, visibility, and brand influence—especially in retail. Derek shares how his team anticipates user intent by mapping out "the next question" a searcher might ask, turning that insight into richer, more suggestive content that surfaces in AI-generated answers. From leveraging natural search optimization to de-emphasizing backlinks and embracing content recency and quality, Derek offers actionable insights for brands navigating this new AI-first search landscape. Listeners will also learn about Derek's innovative use of AI-powered virtual focus groups to quickly gain consumer insights, and why traditional SEO practices aren't dead—they're evolving in exciting ways. 👤 Guest Bio Derek Woo [https://www.linkedin.com/in/derekwoo/] is the Director of Search Engine Optimization (SEO) and App Store Optimization (ASO) at Albertsons Companies [https://www.albertsonscompanies.com/home/default.aspx]. With roots in the early internet era, Derek has tracked and adapted to the evolution of search engines beyond Google, including the impact of AI-driven search. He leads a large cross-functional team focused on testing, ideating, and adapting SEO strategies in an AI-first world. 📌 What We Cover * Derek's early SEO experiences pre-dating Google and official SEO terminology * Weekly AI-focused workshops growing from a small SEO team to 227 participants across Albertsons * The importance of anticipating "the next question" in content strategy to better serve AI-generated search results * How brand affinity can be shaped by appearing in AI answers for high-volume, non-branded queries (e.g., bleach alternatives) * Differences in content visibility depending on intent: informational queries vs transactional queries * Why syndicated content is being ignored by AI search, and how unique, detailed content can set brands apart * The ongoing relevance of FAQ sections as AI training data sources * The shift from clicks to impressions and mentions as valuable metrics in an AI-driven search ecosystem * Selling visibility and influence through collaborative content networks to impact AI answers * How Derek's team uses AI virtual focus groups to simulate customer personas and gather fast, sentiment-based insights * Creating AI SEO consultant personas to challenge and refine internal SEO strategies * Derek's unconventional move to ignore backlinks and focus on quality, recent content that ranks well even without links * The enduring core of SEO: providing better, more relevant answers for end users in a constantly evolving search landscape 🔗 Resources Mentioned * Albertsons Companies [https://www.albertsonscompanies.com/home/default.aspx] * Derek Woo on LinkedIn [https://www.linkedin.com/in/derekwoo/] * ResultFirst: Visit for more SEO tips and strategies. ( | 48m 13s | ||||||
| 7/30/25 | Beyond Search Volume: SaaS Keyword Strategy That Fuels Real Business Results | Ep. 21 | What if your keyword research could shape product development, uncover revenue potential, and spotlight entire user segments your product team never considered? ㅤ On Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] is joined by Jennifer Long [https://www.linkedin.com/in/jennlaurenlong/], Lead SEO Manager at SolarWinds, who brings a radically strategic lens to keyword research. She calls it "off-label SEO"—a method that extends SEO far beyond website optimization into influencing product, audience, and regional strategies. ㅤ Together, they explore how low-volume keywords can still be meaningful, what happens when SEO insights reach the C-suite, and why understanding feature gaps might be your biggest growth lever. Plus, Jennifer shares how she's aligning SEO with AI-powered search and adapting to a future driven by prompts, not just keywords. 👤 Guest Bio Jennifer Long [https://www.linkedin.com/in/jennlaurenlong/] is the Lead SEO Manager at SolarWinds. She brings a unique product-led approach to SEO—focusing on use cases, feature gaps, and regional patterns to inform both content and development priorities. She refers to her method as "off-label SEO," using search behavior to uncover business opportunities and guide strategy. Previously, she worked with brands like Zoom. ㅤ 📌 What We Cover * What "off-label SEO" means and how Jennifer Long [https://www.linkedin.com/in/jennlaurenlong/] applies it beyond traditional site optimization * Using SEO data to identify product feature gaps, regional opportunities, and overlooked user segments * How keyword research led to C-suite buy-in for an untapped podcasting audience * Why low search volume doesn't always mean low opportunity * The collaborative process of aligning keyword strategy with business goals and implementation effort * How traditional SEO principles still apply in the world of LLMs and AI search * Tools that support international SEO and competitor gap analysis, including Ahrefs and BrightEdge * Real examples of SEO influencing content strategy and product capabilities in SaaS ㅤ 🔗 Resources Mentioned * Ahrefs – Used for keyword research and international SEO translation * BrightEdge – Supports multi-region keyword views and strategy alignment ㅤ Resources: ResultFirst [https://www.resultfirst.com/]: Visit for more SEO tips and strategies. Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO. ㅤ If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 15m 50s | ||||||
| 7/23/25 | What to Do If Your Brand Is Not Being Picked Up — And How Long Recovery Takes | Ep. 20 | Nothing stinks quite like realizing your brand isn't showing up in Google's AI Overview, ChatGPT answers, or Perplexity snippets while competitors bask in the glory. In this solo session of Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] strips away the mystery and lays out why AI engines ignore some brands and how to win back visibility. Drawing on trusted-source signals, knowledge graphs, third-party mentions, schema markup, and crawl health, she shows that recovery is less about quick tricks and more about rebuilding trust—typically a 60- to 80-day journey. Listen in for crisp action items that turn "missing" into "recommended." ㅤ What We Cover * Why weak entity recognition leaves brands outside the AI conversation * The power of third-party mentions on sites like Wikipedia, G2, and high-quality media—far beyond classic backlinking * How thin or fragmented content, duplicate URLs, and poor formatting crumble under AI summarization * Fixing a broken or missing schema setup so engines read product pages, blog posts, and team bios correctly * Auditing crawl budget, server speed, canonical signals, and rendering to keep doors wide open for bots * Writing niche-specific prompts to test whether AI tools already recommend (or ignore) your brand * Using IndexNow and Bing's network to speed fresh updates into the AI ecosystem * Setting realistic expectations: rebuilding system-level trust takes persistence, not panic ㅤ Resources Mentioned * Google AI Overview * ChatGPT * Perplexity * Wikipedia * G2 * IndexNow * Bing ㅤ * ResultFirst: Visit for more SEO tips and strategies. (https://www.resultfirst.com) * Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO ㅤ If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 10m 51s | ||||||
| 7/9/25 | Structure for the future: Schema, entities and search impact with Nick Pustay | Ep. 19 | On this episode of Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] sits down with Nick Pustay [https://www.linkedin.com/in/nicholaspustay/], Head of SEO at Scholastic, to tackle one of the most pressing topics in modern search: schema markup and entity optimization in the age of AI Overviews. With schema evolving from a "nice-to-have" to a "must-have," Nick offers a real-world look at what it takes to roll out structured data across 16 business units at scale. From navigating legacy CMS systems to choosing between global and local implementations, Nick shares practical strategies and challenges from the enterprise SEO frontlines. This conversation gets tactical—covering organization schema, product vs. book schema, Google's recent deprecations, and the unseen benefits of strategic collaboration. Plus, Nick offers a "digital archaeology" mindset that every enterprise SEO should consider when facing technical blockers or shifting SERP dynamics. 👤 Guest Bio Nick Pustay [https://www.linkedin.com/in/nicholaspustay/] is Head of SEO at Scholastic, where he oversees SEO strategy and implementation across 16 different business units. His expertise spans schema markups, entity optimization, and large-scale technical SEO. 📌 What We Cover * Why schema markup is now a requirement, not an option, due to AI Overviews * How structured data supports content discoverability and rich results * The challenge of applying schema across 16 different business units * The role of collaboration in enterprise SEO and stakeholder alignment * Real-world example: Google dropping book schema in June 2025—and what it means * Why product schema may be the better long-term choice over deprecated types * The future of long-form content, prompt-based experiences, and schema's role * Technical challenges of legacy CMS platforms in implementing modern SEO needs * Tips for customizing schema beyond Google's rich result testing tools * "Digital Indiana Jones" mindset for uncovering overlooked SEO opportunities 🔗 Resources Mentioned * Product-Led SEO by Eli Schwartz [https://www.linkedin.com/in/elischwartz/] * A Tangled Web (book referenced by Nick for understanding browser security) Resources: 👉 ResultFirst [https://www.resultfirst.com]: Visit for more SEO tips and strategies. 👉 Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO. If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 23m 39s | ||||||
| 7/2/25 | Search Without Queries: What Copilot, IndexNow, and AI Agents Really Mean for the Future of SEO | Ep. 18 | Performance SEO Unpacked is back with a big conversation about the new frontier of SEO—where queries disappear, and AI anticipation takes the lead. Host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] sits down with Krishna Madhavan [https://www.linkedin.com/in/kmadhavan7/], Principal Product Manager of the Web Data Platform at Microsoft AI, to decode what "search without queries" really means. In this episode, Krishna breaks down how AI systems like Copilot are shifting from "search and find" to "understand and assist," challenging the foundation of traditional SEO. From IndexNow protocol to semantic clarity, citations over clicks, and the compression of the funnel, this is a roadmap for SEOs navigating AI-powered search. If you're still optimizing for blue links and keyword density, this episode is your wake-up call. 👤 Guest Bio * Krishna Madhavan [https://www.linkedin.com/in/kmadhavan7/] is Principal Product Manager for the Web Data Platform at Microsoft AI, where he works on search technologies like Copilot and IndexNow. With deep insight into AI agents and content discovery systems, Krishna shares what it takes to stay relevant in an anticipatory, query-less search landscape. 📌 What We Cover * Why "search without queries" is disrupting everything SEO has historically relied on * How Copilot anticipates needs before users even ask—shifting SEO from clicks to citations * The importance of semantic structure, authority, and freshness over traditional relevance * Why content clarity and knowledge density are the new SEO signals for AI systems * How IndexNow helps site owners proactively control content discoverability and reduce crawl waste * The shift from optimizing for position to optimizing for precision and trust * What SEO teams must now consider: machine readability, structured data, and intent-aligned content * Why memory and personalization make it harder to predict rankings—but easier to win in contextual moments * The new content strategy: modular, multi-intent, and AI-friendly assets that serve across funnel stages * Practical steps for SEOs to future-proof their visibility in Copilot and other AI search systems 🔗 Resources Mentioned * IndexNow [https://www.indexnow.org] * Microsoft Copilot [https://copilot.microsoft.com] * Resources: * ResultFirst: Visit for more SEO tips and strategies. resultfirst.com [https://www.resultfirst.com/] * Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO. If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 27m 28s | ||||||
| 6/25/25 | From Product to Page One: How a Data and UX Mindset Accelerates SEO Results (with Neha Khanna from ZipRecruiter) | Ep. 17 | On Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] is joined by Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] to explore how product thinking is transforming SEO at scale. Drawing from her experience at ZipRecruiter and Wayfair, Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] shares how moving away from technical checklists and toward user-centered problem-solving creates lasting growth. Instead of chasing keywords, she focuses on systems that scale—measuring outcomes like conversion and engagement rather than impressions and rankings. Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] and Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] discuss AI not as a content factory, but as a storytelling co-pilot. They also break down how prioritization frameworks like RICE can bring clarity and confidence to enterprise SEO decisions, especially when getting stakeholder buy-in or forecasting results. Whether you're facing stalled traffic, ineffective keyword strategies, or just looking to build SEO into product loops, this episode delivers tested strategies straight from the field. 👤 Guest Bio Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] blends SEO and product management, with experience at organizations including Wayfair and ZipRecruiter. Known for shifting teams away from traditional SEO tactics and toward integrated, outcome-focused strategies, she prioritizes relevance, user intent, and business alignment. Connect with Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] on LinkedIn. 📌 What We Cover * Why Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] stopped asking "what keywords should we rank for?" * A real example of solving post-click friction instead of expanding long-tail content * How SEO success changes when you integrate UX, data science, and engineering * Why traffic metrics without conversion are just vanity numbers * The AI-assisted content engine Neha Khanna [https://www.linkedin.com/in/neha-khanna-5545031a4/] helped build at Wayfair—and why human QA still matters * How to design AI prompts that scale storytelling, not just content * Using the RICE framework (Reach, Impact, Confidence, Effort) to prioritize SEO work * Why writing product-style briefs helps SEOs align cross-functional teams * The power of thinking like a user instead of optimizing for search engines 🔗 Resources Mentioned * RICE Prioritization Framework (Reach, Impact, Confidence, Effort) * ResultFirst [https://www.resultfirst.com]: Visit for more SEO tips and strategies. * Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO. If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with | 23m 22s | ||||||
| 6/18/25 | Google's AI Mode Is Killing the Blue Links—Now What? | Ep. 16 | The world of SEO isn't just evolving—it's being rewritten. On this episode of Performance SEO Unpacked, Joseph Lewin [https://www.linkedin.com/in/joseph-lewin/] steps in as guest host to interview Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/], founder of ResultFirst [https://resultfirst.com], about one of the most seismic shifts in digital marketing: Google's move to AI Mode. Forget ranking #1. That blue-link legacy is fading fast as Google transitions from search engine to response engine. Instead of offering choices, it now delivers AI-powered answers—instantly. Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] breaks down what this means for SEOs, content marketers, and brands who've relied on traditional traffic models. What replaces top rankings? Citations. Brand mentions. Total visibility. Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] shares the three shifts SEOs must make to stay relevant, how to rethink attribution in a zero-click world, and what AI-readiness really means in 2025. 📌 What We Cover * Why Google is shifting from a search engine to a response engine * How AI Mode changes SEO visibility, traffic, and user behavior * The rise of zero-click answers and decline of the blue-link era * What AI-driven content means for SEOs, content creators, and marketers * The new SEO priority: being quoted, not just ranked * Why brand visibility and third-party mentions now matter more than CTR * Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/]'s 3-part strategy for AI Mode: Visibility Audit, Content Clarity, Authority Building * How to think like a brand, not a publisher, in the new AI SEO landscape * Rethinking attribution: measuring impressions, direct traffic, and AI citations 🔗 Resources Mentioned * ResultFirst [https://resultfirst.com] * Google AI Mode / AI Overview (referenced) * ChatGPT, Perplexity (referenced AI tools) Resources: ResultFirst: Visit for more SEO tips and strategies [https://resultfirst.com] Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 23m 37s | ||||||
| 6/11/25 | How E-Commerce Businesses Can Enhance Product Discoverability in ChatGPT | Ep. 15 | The landscape of product discovery is shifting as AI tools like ChatGPT become a bigger part of how people find and buy online. On Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] shines a light on how these AI systems are now suggesting products directly, impacting what shoppers see and buy. Instead of relying only on traditional SEO, e-commerce businesses need to focus on structured data, conversational content, and keeping up with AI-driven changes. Ruchi's straightforward advice is all about making sure your product information and content are ready for this new era, so your brand stays visible and relevant in AI-powered recommendations. 📌 What We Cover * The role of AI tools like ChatGPT in shaping how people find products online * How AI is starting to suggest specific products based on content quality and relevance * The shift away from traditional SEO to AI-influenced product discovery * Why structured data and schema markup are more important than ever for e-commerce * Creating high quality, conversational, and accurate product content * Answering actual customer questions within your content for better discoverability * Staying proactive by keeping content fresh and monitoring changes in AI algorithms * The importance of brand mentions and adapting your SEO approach for AI-driven platforms 🔗 Resources Mentioned * ResultFirst: Visit for more SEO tips and strategies. (resultfirst.com [https://www.resultfirst.com]) * Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 4m 29s | ||||||
| 5/28/25 | The Truth About 404s, Internal Links, and Other SEO Myths with Paul Shapiro from Uber | Ep. 14 | What does it take to move over 100 international websites and deliver hundreds of millions in lifetime value? On Performance SEO Unpacked, host Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] welcomes Paul Shapiro [https://www.linkedin.com/in/paulnshapiro/] from Uber to share the story behind one of the most ambitious SEO projects in recent memory: Shopify's ccTLD to subfolder migration. Ruchi and Paul explore the mindset, measurement, and technical architecture needed to execute SEO at enterprise scale. From custom crawling infrastructure and SQL reporting to Python-driven automation and internal linking experiments, Paul offers a detailed, practical view into what makes technical SEO truly effective—or fail. They also challenge long-held industry myths around 404 errors, keyword-rich URLs, and the power (and pitfalls) of internal links. If you've ever debated how much technical SEO still matters in a content-driven era, this episode makes the case for why it absolutely does. 👤 Guest Bio Paul Shapiro is the Product Manager for the Web Intelligence Team at Uber. He previously led technical SEO at Shopify, where he spearheaded large-scale initiatives like international domain migrations. Known for pioneering the use of Python in SEO, Paul continues to work at the intersection of data science, engineering, and search. Connect with Paul on LinkedIn [https://www.linkedin.com/in/paulnshapiro/] 📌 What We Cover * The SEO hypothesis that led to Shopify's ccTLD-to-subfolder migration * Testing frameworks, internal tools, and SQL-based reporting systems at Shopify * Timeframes and tradeoffs of long-term enterprise SEO projects (6–12 months) * The nuance of internal linking and why it can succeed—or completely fail * Real-world myths debunked: keyword-based URLs and the obsession with 404s * Why Python remains essential in technical SEO, from crawling to NLP * Paul's thoughts on AI's role in writing MVP-ready code * How a technical SEO background bridges gaps with dev and product teams * Insights from organizing the first US-based technical SEO conference, Tech SEO Boost 🔗 Resources Mentioned * Streamlit (Python framework for building web applications) * Google Search Console (referenced for data analysis) Resources: ResultFirst [https://www.resultfirst.com]: Visit for more SEO tips and strategies. Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 21m 10s | ||||||
| 5/21/25 | Designing for Humans & Machines: How UX, UI & SEO converge in the AI Era | Ep. 13 | Ranking in Google is no longer the final goal—it's just the starting line. In this solo episode of Performance SEO Unpacked, host Ruchi Pardal reveals how the rise of AI agents like Gemini and ChatGPT is forcing a seismic shift in how enterprise teams approach SEO, UX, and UI. Traditional distinctions between crawling and navigation, keyword strategy and visual hierarchy, are collapsing fast. Ruchi breaks down the mechanics of what it means to design for AI usability—where semantic clarity meets layout predictability. If your product or service pages can't be parsed, summarized, and actioned by machine agents, they'll never be recommended in zero-click AI environments. This episode explores exactly how to future-proof your SEO efforts by aligning modular UI patterns, schema, and trust signals with AI comprehension requirements. 📌 What We Cover * Why ranking in Google is now just the beginning of visibility * How Gemini and ChatGPT evaluate site structure, not just content * The convergence of SEO and UX in an AI-first world * What "AI-usable design" looks like in practice * Why modular design systems matter more than ever * The role of semantic clarity and layout flow in AI comprehension * What trust blocks and internal linking communicate to machines * Questions every team should ask about their HTML structure and UI components Resources: ResultFirst [https://resultfirst.com]: Visit for more SEO tips and strategies. Connect with Ruchi Pardal on LinkedIn [https://www.linkedin.com/in/ruchipardal/] for a conversation about SEO. If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 5m 32s | ||||||
| 5/7/25 | Why I Use AI for 100% of Our Content—And It Works - Rob Dougherty from Kiteworks : 12 | On this episode of Performance SEO Unpacked, host Ruchi Pardal sits down with Rob Dougherty to explore a real-world blueprint for AI-driven content success. Rob leads content and SEO at Kiteworks—solo. He shares how he replaced a traditional agency model with a full AI-based production system, scaling from near-zero visibility to conversion-generating blog content. Rob walks through his personal content prompt framework, the editing processes he trusts, and the KPIs that drive his strategy: from impressions to clicks to demos. With a practical lens on regulated industries and EEAT, Rob's story is a must-listen for SEOs serious about performance at scale. 👤 Guest Bio Rob Dougherty leads SEO and content marketing at Kiteworks, a cybersecurity and regulatory compliance company. He transitioned from a full-service content specialist to a solo SEO practitioner, now running a one-person content operation powered almost entirely by AI. Connect with Rob on LinkedIn [https://www.linkedin.com/in/robdougherty2/] 📌 What We Cover * Why Rob moved directly to AI for full content production—skipping outlines and ideation * The exact prompt framework used to generate high-quality, informative blog posts * How Rob measures success: starting from impressions, moving to clicks, and now conversions * Insights on handling hallucinations, editorial review, and on-brand messaging in regulated industries * Why shorter, simpler prompts outperform overly complex ones in Rob's workflow * Key editing steps to ensure standalone, compelling H2s and section structure for zero-click environments * How Rob incorporates Kiteworks' brand messaging into AI-generated content * Adding AI platform tracking to demo request forms to measure true SEO + AI influence 🔗 Resources Mentioned * Claude.ai (used for AI content generation) * ChatGPT, Perplexity (referenced as alternative tools) * Kiteworks: kiteworks.com [https://www.kiteworks.com] * Rob's LinkedIn: Rob Dougherty [https://www.linkedin.com/in/robdougherty2/] Prompt Shares By Rob: "I would like you to write a blog post from the perspective of a German CISO or data privacy officer with MSSP experience. Here are the topics I would like addressed: 1. Why data protection is needed for German manufacturers 2. Benefits of data protection for German manufacturers 3. Data protection challenges for German manufacturers 4. Data protection compliance regulations German manufacturers must abide by 5. Ten best practices for implementing a data protection program into a German manufacturing company. The post should be authoritative in tone, follow SEO best practices, optimized for AEO systems, written in active voice and contain approximately 2,000 words. The long-tail keyword is data privacy best practices for German manufacturers. Do you understand these instructions? If yes, please start by proposing an outline. [iterate on the outline] Proceed with writing. Please use active voice, avoid using gerunds in the title and all sub-titles. All titles and sub-titles should be engaging and informative rather than descriptive and plain, e.g., "Conclusion," so if a reader were to just read the sub-titles, she or he would be able to get the gist of the blog post. [review and iterate on the post] Please propose 4-5 key takeaways for this post. The takeaways should be numbered, followed by a main idea, in bold, followed by a brief description or summary of the main idea not to exceed 50 words. | 38m 41s | ||||||
| 4/30/25 | Why HubSpot's Homepage Disappeared—and How They Fixed It with Christina Clark from Hubspot : 11 | Big brands aren't immune to SEO surprises—just ask Christina Clark from HubSpot. In this episode of Performance SEO Unpacked, host Ruchi Pardal explores the unexpected disappearance of HubSpot's homepage from search results. Christina shares how her team uncovered a deeper issue with Google's understanding of their brand and why technical SEO demanded center stage in a content-driven company. From digging into core web vitals to reshaping internal links, Christina takes us through a real-world SEO challenge that tested cross-functional collaboration and highlighted the need to prove technical SEO's business impact. If you've ever faced resistance to technical fixes or struggled to align dev teams with SEO goals, this conversation brings valuable lessons from one of the most recognized names in the industry. 👤 Guest Bio Christina Clark leads product SEO at HubSpot, where she focuses on aligning technical performance with brand strategy. Known for her curiosity and data-driven approach, Christina collaborates across teams to resolve complex SEO challenges in an ever-evolving search landscape. Connect with her on LinkedIn: Christina Clark [https://www.linkedin.com/in/christinacclark/] 📌 What We Cover * How HubSpot discovered its homepage was no longer ranking for branded search * The role of curiosity and constant "why" in identifying SEO issues * Comparing homepage vs. free CRM page: content, core vitals, and internal links * Proving technical SEO's value through KPIs, bounce rate, and page load speed * Cross-functional collaboration with web strategy, creative, and development teams * The evolving role of Google's brand understanding and homepage relevance * Key takeaways on mobile experience, internal linking, and core web vitals * Why SEO success requires bringing dev teams into the strategy early 🔗 Resources Mentioned * Christina's Technical SEO Checklist https://www.resultfirst.com/ebooks/technical-seo-checklist/ * ResultFirst [https://resultfirst.com]: Visit for more SEO tips and strategies. * Connect with Ruchi Pardal [https://www.linkedin.com/in/ruchipardal/] on LinkedIn for a conversation about SEO. If you enjoyed today's episode and found valuable insights for your business, be sure to subscribe to Performance SEO Unpacked for more expert discussions. Don't forget to leave a review and share this episode with your team or fellow marketers! Let's keep the conversation going—connect with us on LinkedIn and join the community of enterprise SEO enthusiasts. | 18m 58s | ||||||
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