One piece of advice for the next 12 months
episode
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
3 min
1 speaker
6 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
The Voices of Search Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast? I Hear Everything delivers podcast production, growth, and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit IHear Everything.com. Welcome to the Voices of Search Podcast, a member of the I Hear Everything Podcast Network. Ready to expedite your company's organic growth efforts? Sit back, relax, and get ready for your daily dose of search engine optimization wisdom. Here's today's host of the Voices of Search Podcast, Jordan Cooney.
What is the core piece of advice Liza Adams gives enterprise leaders for the next 12 months?
I'm Jordan Cooney and joining me today is Lisa Adams, AI advisor and go-to-market strategist at Growth Path Partners. If you could give enterprise leaders one piece of advice for the next 12 months, what would it be?
Why does Liza emphasize upskilling and reskilling teams in the AI era?
Give your teams the gift of upskilling and reskilling. I rarely remember the campaigns or the product launches that I did in my career.
How does the visibility‑sentiment‑recommendation framework improve AI search optimization?
But I always remember where the people are today that I I was able to help.
Time for a one-minute break to hear from our sponsor, Previsible. So you're looking for SEO help, then you got a couple of options. You could start replying to spam from agencies that claim they can get you to rank number one on Google. You can pay an hourly rate for a consultant who will inevitably nickel and dime you with hourly charges, or you can work with a cookie cutter agency to quickly launch a strategy-less project with low success rate.
What shift does Liza recommend from gated content to trust‑building strategies?
None of those sound very good. Now do they? Well, that's where Previsible's integrated consulting model comes in. Previsible draws from a collective 40 years of SEO and digital marketing experience to unlock your organic growth opportunities. They build custom solutions that combine strategy, technical expertise, content, and reporting to effectively operationalize SEO for your business. Previsible's four-stage approach ensures that your SEO programs thrive. By starting off with a strategy first approach. Then they support you in your efforts to create quality content, help you identify technical issues, and most importantly, they'll work with your cross-functional teams to integrate your SEO strategies to make sure that your SEO budget actually drives results, not just your agency's bottom line.
So join brands like Yelp, eBay, Canva, Atlassian, Square, all who rely on the SEO consultant. At Previsible.
How can cross‑functional AI adoption break down silos and prioritize people‑first implementation?
For more information, go to previsible.io. That's previsible P-R-E-V-I-S-I-B-L-E.io.
And I think upskilling and reskilling isn't just something that we do for our companies, it is something that we do for our teams and for the individual, allowing them to thrive and better compete in the era of AI.
Okay, that's all for today, but until next time, remember the answers are always in the data.
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Chapters
6 chapters
1
What is the main topic discussed in this episode?
0:00–0:42
2
What is the core piece of advice Liza Adams gives enterprise leaders for the next 12 months?
0:42–0:56
3
Why does Liza emphasize upskilling and reskilling teams in the AI era?
0:56–1:08
4
How does the visibility‑sentiment‑recommendation framework improve AI search optimization?
1:08–1:38
5
What shift does Liza recommend from gated content to trust‑building strategies?
1:38–2:31
6
How can cross‑functional AI adoption break down silos and prioritize people‑first implementation?
2:31–2:59