Websites are seeing a 25% drop in referral traffic across the board, with AI search results to blame. This episode breaks down the negative impacts of Google’s AI Overview with updated tips on how to tackle these challenges. After, learn about context engineering and how you can use it effectively for beter results on GPT-5 and other LLMs. Stick around until the end for a totally irrelevant highlight on a thoroughly unsettling AI chatbot made for kids. 

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Chapters:

01:00 – Google’s AI Overview & a 25% Drop in Referral Traffic

03:18 – The Future of SEO & “Search Everywhere Optimization”

06:19 – DOJ vs. Google: Antitrust Impacts on Search

08:00 – Context Engineering & GPT-5 Updates

13:32 – Meet Grem: The AI Stuffed Animal

Sources: 

“Google AI Overviews linked to 25% drop in publisher referral traffic, new data shows” By Jessica Davies for Digiday

“GPT-5 Context Window Limits and Usage in ChatGPT and API” by Shivam Malani for All Things How

“They’re Stuffed Animals. They’re Also AI Chatbots.” by Amanda Hess for The New York Times 

Recruiting leader Annemarie Penny wants people to reframe their thinking around AI–because technology doesn’t work without humans. Our first ever podcast guest shares where we are now and where we’re going when it comes to AI in recruiting, hiring, and career development. Listen for expert insights on navigating AI transformation, from building a “digital twin” to protect your professional identity to following a human-first approach to innovation. 

Penny is the CEO & founder of the Forbes-ranked recruiting firm Dreamore.

Connect with her on LinkedIn or find her pretty much anywhere else on the internet. 

00:56 – Introducing Annemarie Penny: Recruiting Leader & AI Innovator

05:04 – AI in Recruiting: Why the Human-First Approach Still Wins

07:35 – AI Hype vs. Reality: Lessons from the Dot-Com Era

10:54 – The Future of Work: Learning from Past Innovations

15:22 – Balancing Technology with Human Connection

19:11 – Digital Twins & Taking Control of Your Professional Identity

20:50 – Career Development in the AI Era: Skills, Learning & Staying Relevant

As of July 2025, Instagram posts are now indexed by Google. Grace and Peter break down how brands should adjust their content strategy accordingly. Plus, a look at the other platforms showing up in search results, and signs that ChatGPT is sourcing answers from Google. The evidence is clear: social media, search engines, and LLMs are becoming increasingly intertwined. Listen to find out what this shift means and how to respond. 

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Chapters: 

01:36 – Instagram Posts Now Indexed by Google

03:49 – Why B2B Should Reconsider Instagram

05:25 – ChatGPT Might Be Using Google Snippets

07:26 – SEO + AEO = Unified Strategy

08:10 – New AI Search Browser: Comet by Perplexity

08:52 – Does Search Convergence = Less Work?

10:30 – The 80% Stat That Should Scare News Sites

11:17 – What Non-SEO Experts Can Do 

Sources: 

“Instagram Posts Can Now Rank on Google (And Why That Changes Everything)” by Annie-Mai Hodge for Atlas SEO

“Confirmed: ChatGPT uses Google SERP Snippets for its Answers [A Test with Proof]” by Aleyda Solis for aleydasolis.com

Poor email performance isn’t just a content problem. An outdated contact list and bad sending strategy can tank your email results and put your sending domain at risk down the road. In this episode, Grace and Peter break down why ignoring your email deliverability is one of the most common (and costly) mistakes in marketing. They walk through a real-world case study showing why so many email campaigns result in low open rates. 

You’ll learn how to identify deliverability issues and improve results by validating and segmenting your email list. With this step-by-step approach, your email will get past spam filters, promotions tabs, and ultimately see better performance from start to finish.  

This episode is a must-listen for anyone using email marketing as part of their business development strategy.

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Chapters 

00:00 – Intro

01:23 – Today’s focus: Email health and why it matters

02:30 – Case study: When 100% of Gmail emails go to spam

05:00 – What inbox placement tests reveal

06:48 – What is email list validation and how it works

08:26 – Segmentation strategies that drive results

09:49 – Why unsubscribes aren’t a bad thing

10:28 – Top mistakes causing poor email health

12:00 – Organic list-building vs. purchased lists

13:30 – How to grow better email lists organically

Businesses are finding that AI hallucinations can lead to disinformation about their services. One brand responded creatively when ChatGPT made up a feature they didn’t actually offer. From navigating AI mishaps to fielding PR disasters, Grace and Peter explore how unexpected business challenges can lead to growth opportunities. They also dive into the growing issue of scam job applications generated by AI, the difficulties businesses face with secure AI implementation, and the rising trend towards custom AI solutions. 

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Chapters

00:00 – Welcome & Episode Overview

01:30 – Soundslice’s creative response to AI misinformation

03:45 – Brand Adaptation: Lessons from Domino’s Pizza

05:20 – AI Hallucinations & Why You Should Monitor Your Brand Mentions in AI Tools

06:30 – AI Job App Scam: Bots & Deepfakes

07:30 – The Real Problem with AI Implementation

09:10 – Consistency: The Biggest Barrier to Effective AI

10:30 – Why Small, Purpose-Built AI Tools Work Best

11:20 – AI Subscription Trends: Free vs. Paid Tools

12:00 – The Overload of AI Tools & Integration Challenges 

Sources 

“ChatGPT made up a product feature out of thin air, so this company created it” by Benj Edwards for Ars Technica

“Why Some Companies Are Canceling ChatGPT Subscriptions” by Aaron Holmes for The Information

Want your brand to show up in AI search results on Google, ChatGPT, Gemini, and Claude? In this episode of Accelerated Velocity we share simple, hands-on search experiments you can run to test your current brand visibility across today’s top AI-powered discovery platforms. We’ll break down how to think like your customer at each stage of the buyer journey–awareness, consideration, and decision–and explore the types of searches people are making at each phase. You’ll learn how to identify visibility gaps and what kinds of content to create (think blogs, landing pages, and website updates) to improve your chances of showing up where it matters most. 

Whether you're a marketer, business owner, or SEO strategist, this episode gives you a practical playbook for navigating the shift to AI-driven search.

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Chapters

00:01:02 – Why Brand Visibility Testing Matters

00:01:55 – Start With the Basics: Think Like Your Customer

00:03:06 – Awareness Stage: Identifying Early-Stage Searches

00:06:37 – Consideration Stage: Comparing Solutions

00:08:24 – Content Iteration & Updating Old Assets

00:09:24 – Decision Stage: Build Trust and Social Proof

00:11:12 – Final Thoughts & Actionable Takeaways

This episode takes a real-time look at how Google’s AI-powered search results have evolved over the past six months, especially when it comes to what’s being cited as a “trusted source.” Walk through live examples, compare industries, and learn how branded websites are starting to show up in citations where once only forums, industry directories, and other 3rd party pages lived. Plus, we’ll dig into the underused Forums filter in Google search–an overlooked but powerful way to uncover what communities are talking about when it comes to your industry. 

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Chapters

00:00 – Intro 

02:10 – What Counts as a Trusted Source? Peter explains how forums, social platforms, and brand websites have historically shown up in AI Overviews, and what’s different now.

03:37 – Why the Forums Filter Still Matters How forums, directories, and community-driven content are still highly visible in some verticals, and why this shouldn't be ignored.

05:01 – Real Search Examples: “Best HubSpot Agency” Grace breaks down a live search result and how branded content (including InboundAV) showed up alongside marketplace and ecosystem links.

05:52 – Real Search Example: “How to Find a Good Lawyer” A comparison that highlights how forums and trusted institutional sources like the State Bar still lead in some industries.

06:45 – The Baseball Test: What AI Says About Fandom Peter asks a fun curveball question–what baseball team should you root for? Grace shares what the AI Overview cited and what Reddit had to say instead.

08:00 – Forums vs. AI: The Credibility Question Why forums often provide more satisfying results than AI Overviews for opinion-based or community-driven topics.

09:24 – Final Thoughts

A recent MIT study shows ChatGPT dulls our critical thinking skills over time. From maintaining high-quality campaigns to maintaining a creative mindset, Grace and Peter dive into the harms of AI overuse in business. Plus, a look at how NOT to use AI–and what to do instead. You’ll hear tips on how to avoid inaccurate or misleading information from LLMs, write better prompts, and achieve more accurate data analysis from tools like ChatGPT’s Deep Research. 

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Chapters

01:01 – The MIT Study: AI and Critical Thinking 03:14 – Why Generic AI Content Fails 05:22 – Smart AI Use Starts Narrow 08:59 – Prompting Mistakes to Avoid 13:09 – Call for Guest Experts

Sources 

On Episode 10 of Accelerated Velocity, Grace and Peter demo ChatGPT’s Deep Research Connector tool, which allows integration with apps including HubSpot, Google Drive, GitHub, Outlook, and more. After trying out a sample prompt using the ChatGPT HubSpot integration, they determined that the tool offers value in specific use cases, but might not be the go-to solution for all aspects of your marketing strategy–at least not yet.

The takeaway: leveraging AI for your marketing relies on choosing the right tools, checking for sources and accuracy, and maintaining a single source of truth. Listen for a rundown on how to protect your data on ChatGPT, how to leverage Deep Research, and what NOT to use it for (at least not yet). 

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Try HubSpot’s ChatGPT Deep Research Prompts

Chapters: 

00:00 - Intro 

01:23 - ChatGPT’s Deep Research Connectors

02:07 - Data Privacy Caution

02:40 - Testing ChatGPT HubSpot Connector

05:48 - Inaccuracies on ChatGPT

06:30 - Why ChatGPT Misses The Mark On Email Marketing Trends

11:45 - LLMs vs. AI Agents & Integrations

13:09 - Maintaining A Single Source of Truth

14:30 - Call for Input: What Do You Want to Hear Next Time?

15:20 - Outro   

A mini episode while Peter’s on the road this week. Real user feedback on Meta’s AI Ad settings, and a creative advertising AI from Pinterest.  

Email: [email protected] 

LinkedIn: Peter Malick, Grace Mathews, InboundAV 

Instagram: @InboundAV

Facebook: @InboundAV

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Contact us

00:00 – Intro

00:25 – Real User Experience With Meta AI Ads

01:55 – Pinterest’s More Targeted AI Strategy

03:52 – Why Specificity Matters in AI Adoption

05:16 – A Call for Listener Stories

“Pinterest tests an AI feature that lets advertisers turn their catalogs into shoppable collages” by Aisha Malik for Tech Crunch