Connect with us

SEO

How A Solid Content Strategy Can Empower Your Team [Podcast]

Published

on

SEJ is thrilled to announce that Amanda Zantal-Wiener is our Editor-In-Chief!

This is a newly created role focused heavily on leadership and strategy. Amanda will be overseeing the entire editorial team and guiding us into our exciting future.

Amanda joined me to talk about her new role, content strategy, leadership, and how a solid content strategy, married with a strong editorial team, can empower and inspire your team.

Before coming to SEJ, Amanda served as Senior Deputy Editor and Content Manager for HubSpot’s social media team.

SEJ is in this critical moment of growth and scale where it’s an extremely important time but an extremely exciting time to be entering this environment because it is a time of great change with maybe a few growing pains. So it’s really being able to see the impact you’re going to have on this growth and evolution for SEJ, specifically as it evolves from a blog to a full-fledged media presence, a full-fledged publication. –Amanda Zantal-Wiener, 20:01

I love a good corporate culture that doesn’t need a handbook to tell people how to have a good corporate culture. –Loren Baker, 22:57

There’s a lot of opportunity in broadening the view that a publication has of news and creating editorial content that is not necessarily breaking but is still timely and relevant and therefore newsworthy, and that gives you a little bit more time to really sit with information and think about what it really means and add different perspectives to it. –Amanda Zantal-Wiener, 49:11

[00:00] – About Amanda.
[08:08] – How Amanda got to Hubspot.
[14:52] – What are Amanda’s management & leadership philosophies.
[18:59] – What attracted her to the SEJ’s Editor-In-Chief role?
[24:23] – The content marketing goals of publishers vs. those of tools and brands.
[35:27] – What else is she bringing into this new role?
[41:40] – What to keep in mind when writing content, and do AI tools have a place?
[48:17] – Where will she steer SEJ editorial?

That’s what was what drew me to SEJ’s environment. In particular, it seemed like an environment where there were a lot of strong-minded smart people. Everybody I interviewed listened. So being able to come from that strong stance and that strong point of view with respect was something that stood out to me during the interview process, and that’s not an environment, and that’s not a workplace dynamic that you find in too many places. –Amanda Zantal-Wiener, 21:06

Everything is so multi-pronged now. You have to have a multi-channel approach to content strategy, or else you’re going to fall behind the start line. That is probably the biggest difference: you have to keep brand awareness in mind, brand recognition, brand recall, thought leadership, and all of those things. –Amanda Zantal-Wiener, 29:24

As long as you have that audience, you could always introduce new components and new things.–Loren Baker, 34:02

For more content like this, subscribe to our YouTube channel: https://www.youtube.com/user/searchenginejournal

Connect with Amanda Zantal-Wiener:

Amanda brings a wide array of experience to the table. From HubSpot, she has worked as an editor and writer for companies such as Fast Company and EcoSalon. In addition, her byline can be found in various media outlets, including Thrillist.

SEJ is fortunate to have Amanda on board as Editor-In-Chief. Her expertise in content strategy and editorial work with solid teams of writers and editors makes her ideal for the challenges we face as an organization navigating constantly changing media landscapes, where relevance is key!

​​Connect with Amanda on LinkedIn: https://www.linkedin.com/in/amandazantalwiener/
Follow her on Twitter: https://twitter.com/Amanda_ZW

Find her works on her website: https://www.amandazw.com/

Connect with Loren Baker, Founder of Search Engine Journal:

Follow him on Twitter: https://www.twitter.com/lorenbaker
Connect with him on LinkedIn: https://www.linkedin.com/in/lorenbaker

!function(f,b,e,v,n,t,s)
{if(f.fbq)return;n=f.fbq=function(){n.callMethod?
n.callMethod.apply(n,arguments):n.queue.push(arguments)};
if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version=’2.0′;
n.queue=[];t=b.createElement(e);t.async=!0;
t.src=v;s=b.getElementsByTagName(e)[0];
s.parentNode.insertBefore(t,s)}(window,document,’script’,
‘https://connect.facebook.net/en_US/fbevents.js’);

if( typeof sopp !== “undefined” && sopp === ‘yes’ ){
fbq(‘dataProcessingOptions’, [‘LDU’], 1, 1000);
}else{
fbq(‘dataProcessingOptions’, []);
}

fbq(‘init’, ‘1321385257908563’);

fbq(‘init’, ‘164237177383067’); // custom pixel

fbq(‘track’, ‘PageView’);

fbq(‘trackSingle’, ‘1321385257908563’, ‘ViewContent’, {
content_name: ‘content-strategy-empower-team-podcast’,
content_category: ‘strategy search-engine-journal-show’
});

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

SEO

5 Questions Answered About The OpenAI Search Engine

Published

on

By

5 Questions Answered About The OpenAI Search Engine

It was reported that OpenAI is working on a search engine that would directly challenge Google. But details missing from the report raise questions about whether OpenAI is creating a standalone search engine or if there’s another reason for the announcement.

OpenAI Web Search Report

The report published on The Information relates that OpenAI is developing a Web Search product that will directly compete with Google. A key detail of the report is that it will be partly powered by Bing, Microsoft’s search engine. Apart from that there are no other details, including whether it will be a standalone search engine or be integrated within ChatGPT.

All reports note that it will be a direct challenge to Google so let’s start there.

1. Is OpenAI Mounting A Challenge To Google?

OpenAI is said to be using Bing search as part of the rumored search engine, a combination of a GPT-4 with Bing Search, plus something in the middle to coordinate between the two .

In that scenario, what OpenAI is not doing is developing its own search indexing technology, it’s using Bing.

What’s left then for OpenAI to do in order to create a search engine is to devise how the search interface interacts with GPT-4 and Bing.

And that’s a problem that Bing has already solved by using what it Microsoft calls an orchestration layer. Bing Chat uses retrieval-augmented generation (RAG) to improve answers by adding web search data to use as context for the answers that GPT-4 creates. For more information on how orchestration and RAG works watch the keynote at Microsoft Build 2023 event by Kevin Scott, Chief Technology Officer at Microsoft, at the 31:45 minute mark here).

If OpenAI is creating a challenge to Google Search, what exactly is left for OpenAI to do that Microsoft isn’t already doing with Bing Chat? Bing is an experienced and mature search technology, an expertise that OpenAI does not have.

Is OpenAI challenging Google? A more plausible answer is that Bing is challenging Google through OpenAI as a proxy.

2. Does OpenAI Have The Momentum To Challenge Google?

ChatGPT is the fastest growing app of all time, currently with about 180 million users, achieving in two months what took years for Facebook and Twitter.

Yet despite that head start Google’s lead is a steep hill for OpenAI to climb.  Consider that Google has approximately 3 to 4 billion users worldwide, absolutely dwarfing OpenAI’s 180 million.

Assuming that all 180 million OpenAI users performed an average of 4 searches per day, the daily number of searches could reach 720 million searches per day.

Statista estimates that there are 6.3 million searches on Google per minute which equals over 9 billion searches per day.

If OpenAI is to compete they’re going to have to offer a useful product with a compelling reason to use it. For example, Google and Apple have a captive audience on mobile device ecosystem that embeds them into the daily lives of their users, both at work and at home. It’s fairly apparent that it’s not enough to create a search engine to compete.

Realistically, how can OpenAI achieve that level of ubiquity and usefulness?

OpenAI is facing an uphill battle against not just Google but Microsoft and Apple, too. If we count Internet of Things apps and appliances then add Amazon to that list of competitors that already have a presence in billions of users daily lives.

OpenAI does not have the momentum to launch a search engine to compete against Google because it doesn’t have the ecosystem to support integration into users lives.

3. OpenAI Lacks Information Retrieval Expertise

Search is formally referred to as Information Retrieval (IR) in research papers and patents. No amount of searching in the Arxiv.org repository of research papers will surface papers authored by OpenAI researchers related to information retrieval. The same can be said for searching for information retrieval (IR) related patents. OpenAI’s list of research papers also lacks IR related studies.

It’s not that OpenAI is being secretive. OpenAI has a long history of publishing research papers about the technologies they’re developing. The research into IR does not exist. So if OpenAI is indeed planning on launching a challenge to Google, where is the smoke from that fire?

It’s a fair guess that search is not something OpenAI is developing right now. There are no signs that it is even flirting with building a search engine, there’s nothing there.

4. Is The OpenAI Search Engine A Microsoft Project?

There is substantial evidence that Microsoft is furiously researching how to use LLMs as a part of a search engine.

All of the following research papers are classified as belonging to the fields of Information Retrieval (aka search), Artificial Intelligence, and Natural Language Computing.

Here are few research papers just from 2024:

Enhancing human annotation: Leveraging large language models and efficient batch processing
This is about using AI for classifying search queries.

Structured Entity Extraction Using Large Language Models
This research paper discovers a way to extracting structured information from unstructured text (like webpages). It’s like turning a webpage (unstructured data) into a machine understandable format (structured data).

Improving Text Embeddings with Large Language Models (PDF version here)
This research paper discusses a way to get high-quality text embeddings that can be used for information retrieval (IR). Text embeddings is a reference to creating a representation of text in a way that can be used by algorithms to understand the semantic meanings and relationships between the words.

The above research paper explains the use:

“Text embeddings are vector representations of natural language that encode its semantic information. They are widely used in various natural language processing (NLP) tasks, such as information retrieval (IR), question answering…etc. In the field of IR, the first-stage retrieval often relies on text embeddings to efficiently recall a small set of candidate documents from a large-scale corpus using approximate nearest neighbor search techniques.”

There’s more research by Microsoft that relates to search, but these are the ones that are specifically related to search together with large language models (like GPT-4.5).

Following the trail of breadcrumbs leads directly to Microsoft as the technology powering any search engine that OpenAI is supposed to be planning… if that rumor is true.

5. Is Rumor Meant To Steal Spotlight From Gemini?

The rumor that OpenAI is launching a competing search engine was published on February 14th. The next day on February 15th Google announced the launch of Gemini 1.5, after announcing Gemini Advanced on February 8th.

Is it a coincidence that OpenAI’s announcement completely overshadowed the Gemini announcement the next day? The timing is incredible.

At this point the OpenAI search engine is just a rumor.

Featured Image by Shutterstock/rafapress

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

SEO

Warning: Unpopular SEO writing opinion

Published

on

Warning: Unpopular SEO writing opinion

Unpopular opinion alert: Adding new blog posts may not help your site.

(No matter what that content marketing company told you.) 🙄

So many of my new clients — especially subject matter experts — don’t need new content (immediately).

They HAVE content — scads of it scattered across various platforms.

(Maybe that sounds familiar.)

What they DO need is someone to review their content and customer persona, pinpoint opportunities, and develop a baby-step approach to leveraging those older content assets.

Because there are always opportunities. 🔥

Before writing another word, ask…

  • Are you repurposing the content you have? Or are you writing it once and forgetting about it (which is so common)?
  • Is your customer/reader persona still accurate, or has your target audience changed post-COVID?
  • Do your sales pages showcase your benefits and speak to your customers’ pain points? Or are they flat and dull?
  • Does your content sound like YOU with a point of view? Or is there a massive disconnect between how you talk to clients and the words you use on your site?
  • When did you last take a peek at your old sales emails and email welcome sequences? Could updating those assets make you more money?
  • Isn’t it time to save time (and budget) and leverage your existing content?

If you need help untangling your content and messaging, let me know. I love creating content order out of chaos.

After all…

 

Warning Unpopular SEO writing opinion

 

What do you think? Leave your comment below.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

SEO

Google Bans Impersonation In Ads

Published

on

By

Google Bans Impersonation In Ads

Google bans impersonation and false affiliation in ads, enforcing policy changes in March.

  • Google bans impersonation and false affiliation in ads.
  • Policy enforcement starts in March.
  • Violators will be banned from Google Ads.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending

Follow by Email
RSS