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According to a study done in 2019, more than one-third of prospects start their search for an advisor online.
This trend will continue, making it essential for advisors to invest in search engine optimization (SEO) to improve their search rankings and increase visibility.
Choosing the right SEO vendor
When selecting an SEO vendor, advisors should prioritize the following factors:
- Expertise in the financial industry;
- Compliance with regulatory standards;
- Generation of high-quality, informative content; and
- Utilization of AI and machine-learning technologies.
How AI is impacting SEO for investment advisors
AI has a significant impact on SEO, particularly in these areas:
- AI helps understand the search keywords and phrases the target audience uses. This can inform the creation of content that better meets the needs of your prospects.
- Analyzing competition: AI helps to understand what works for competitors in the market and how to counter it.
- Automating tedious processes: AI helps to automate certain aspects of SEO, freeing up valuable time for you (and your SEO vendor) to focus on other priorities.
- Creating high-quality content.
Here are some marketing tools that use AI algorithms to perform fundamental research and related activities:
SEMrush
Ahrefs
User-behavior analysis for SEO
User-behavior analysis is employed in SEO to understand how visitors interact with your website. You can then make changes that improve user experience and search-engine rankings.
This information can optimize content, improve site speed, and enhance site navigation to make the site more engaging and user-friendly.
Search engines value websites that provide a good user experience, so improving user behavior metrics can enhance search engine rankings.
AI is employed in user-behavior analysis. It can use machine-learning algorithms to analyze and identify patterns in large datasets, providing insights into customer behavior and preferences. This information provides a better customer experience, enhances marketing efforts, and identifies potential security threats.
Typical applications of AI in user-behavior analysis include segmenting customers into groups based on similarities, analyzing user-behavior data to identify patterns and trends, and using predictive analytics to forecast behaviors and preferences.
Overall, AI provides a powerful tool for gaining valuable insights into user behavior, allowing you to make data-driven decisions that enhance client satisfaction and increase profitability.
You are already familiar with Google Analytics, which millions of websites use to analyze primary data, but it has limitations.
You can find a list of analytic software programs here.
Content creation
Regularly creating high-quality, original content is the most significant barrier to a successful SEO campaign.
To optimize your content for SEO, aim for at least 300 words per blog, and post at least two blogs a month. Other studies recommend longer content. The length and amount of content depend on the topic and purpose of your post.
Don’t unduly focus on word count.
According to Google, “Word count is not indicative of quality. Some pages have a lot of words that say nothing. Some pages have very few words that are very important & relevant to queries. You know your content best (hopefully) and can decide whether it needs the details.”
I’ve found that most advisors are either too busy or unwilling to write their content.
While SEO vendors may say they can create content, only some deliver because they need an understanding of your business, especially the compliance regulations governing your communications.
How AI is impacting content creation
Many clients outsource content creation to my firm, which initially caused a capacity issue.
Here’s how we have streamlined content creation using AI. You can replicate our process if you want to do it in-house.
Our SEO vendor uses AI to generate topics prospects and clients are searching for online. With that data, they send us blog topics with keywords they want us to optimize.
We use Chat GPT 4.0 to prepare an outline of the blog topic. We then do our own research and write original content.
We then go back to Chat GPT 4.0 and ask it to optimize the content for designated keywords.
We are aware of the limitations of Chat GPT. It can provide erroneous information. Some information may need to be updated.
AI-generated content can impair SEO, so all our content is original.
To ensure our content isn’t flagged as AI-generated, we run it through another AI program, AI Text Classifier. We then check it for plagiarism using Grammarly. We also use Grammarly to edit all our content.
Here’s a helpful productivity hack: To ensure our content meets rigorous compliance review, we use another AI program, Liner.ai.
A typical Google search might yield thousands of websites to review for credible research. Liner.ai magically gives us a pithy answer to any inquiry and provides up to three resources we can check and cite via hyperlinks.
Liner can be added as an extension to your browser, so the Google results and the Liner response adjoin. It’s an incredible time saver when you must do extensive research, which is typically required for our blogs.
Other AI uses
More AUM. Better Relationships.
Guaranteed
My micro-learning course will increase your AUM and deepen your relationships.
If not, I’ll give you a 100% refund of the $29.95 cost.
Volume discounts are available.
We use AI tools to create videos promoting blogs and collateral marketing materials.
Here’s an underutilized use of Chat GPT: Upload a complex research document and ask it to distill the main points. I recently did this with an article discussing yield-curve inversion. Here’s its output:
The article discusses whether a yield curve inversion, when short-term bond yields exceed long-term yields, is a reliable indicator of a stock market downturn. The historical data from the US and other major economies show that yield curve inversions have not historically predicted equity market downturns. In 10 out of 14 cases of inversion, equity investors had positive returns in their home markets after 36 months. The small number of US yield curve inversions over the past 40 years makes it challenging to draw strong conclusions about the effect on stock market performance. The article suggests that investors should develop and commit to a long-term plan that is in line with their risk tolerance, look past short-term noise, and focus on investing in a systematic way that will help meet long-term goals.
When complex content is distilled in this manner, it is easier to use in blogs.
Every day I discover a new way to use AI that elevates our clients' digital presence.
Dan trains executives and employees in the lessons based on the research in his latest book, Ask: How to Relate to Anyone. His online course, Ask: Increase Your Sales. Deepen Your Relationships is currently available. His digital marketing firm makes extensive use of artificial intelligence to help advisors increase their SEO rankings and improve their marketing.
Read more articles by Dan Solin