Comparison SEO for AI

In a world where Google & Bing Overviews AI are more prominent on search results pages, providing comparison tables of products will assist in SEO.

Comparative charts can potentially leading to rich snippets in search results and there is also an argument that these comparative charts becuase they are structured content is more easily digestible for voice assistants, improving the chances of being featured in voice search answers such as when using Siri on iPhone.

Comparison SEO is an essential strategy for eCommerce sites, affiliate marketers, and content publishers aiming to attract purchase-ready users. It focuses on optimizing content for high-intent keywords like ‘X vs Y’ or ‘best [product category],’ helping shoppers evaluate their options quickly and confidently.

Here’s a few examples from the US retail market across car parts, tennis racquets, and homewares.

Car Parts: Brake Pads
When drivers need to replace brake pads, they often search for terms like ‘best ceramic brake pads’ or compare top brands. By showcasing side-by-side features such as material type, warranty, and price, a well-optimized comparison table can directly influence buyer choices.

Tennis Racquets for Intermediate Players
Tennis players looking to upgrade their gear often compare racquets based on weight, string pattern, and brand reputation. Comparison tables not only aid in decision-making but also attract traffic from search terms like ‘Wilson vs Babolat racquet.’

Homewares: Blenders
For everyday consumers browsing high-ticket appliances like blenders, side-by-side product comparisons help visualize the difference between a $99 Ninja and a $449 Vitamix. Well-crafted SEO content based on such tables targets terms like ‘best blender under $500’ and drives conversions.

Comparison SEO works because it aligns with how people search when making buying decisions. Clear product differences, organized tables, and value-driven content make it easy for users to act—and for websites to convert traffic into sales. Whether you’re in automotive, sporting goods, or homewares, comparison content is a powerful tool.

Google Wiz SEO

Google has announced its intent to acquire Wiz, a leading cloud security platform, for $32 billion. Biggest acquisition ever. Sure it’s to compete against Microsoft Azure & Amazon AWS yet how does it fit with Google Ads which generates US$265 billion in 2024 (75% of its total revenue)?

While Google’s acquisition of Wiz aims to bolster its cloud security offerings by identifying vulnerabilities, assessing risks, and providing actionable insights to protect cloud environments, there has been no official announcement regarding the integration of Wiz’s technology into Google’s Ads or SEO tools or services.

Which is the bigger threat? Hackers and bad actors trying to hack servers or stopping bots clicking on Google ads and ad-fraud in general. I guess by the size of the Wiz paid sticker, you might think it’s the former.

Answer Engine Optimization Teardown

With ChatGPT, Claude, xAI, and Perplexity chipping away at Google’s 25 year monopoly on search, and a consumers shifting from typing 1 or 2 keyword search queries into Google to asking longer specific questions into ChatGPT, it’s critical to focus website content on answers to these questions. Hence, Answer Engine Optimization (AEO) is important to think about and if you’re not optimizing for how Google classifies and interprets search queries, you won’t maximize Google Zero Rankings.

Understanding how Google or Bing classify questions is important so writing these questions and answers allows search engines to interpret their search intent. Here’s 8 question query type formats:

1️⃣ SHORT_FACT – Direct, factual questions.
Example: “How many calories are in a croissant?”

2️⃣ OTHER – General exploratory queries.
Example: “What do dermatologists think about retinol?”

3️⃣ COMPARISON – Evaluating two options.
Example: “MacBook Air M2 vs. Dell XPS 13?”

4️⃣ CONSEQUENCE – Cause-and-effect searches.
Example: “What happens if you skip breakfast every day?”

5️⃣ REASON – Why something happened.
Example: “Why did Toyota stop making the FJ Cruiser?”

6️⃣ DEFINITION – Meaning of a term.
Example: “What is intermittent fasting?”

7️⃣ INSTRUCTION – How-to queries.
Example: “How do you clean white sneakers?”

8️⃣ BOOL – Yes/no questions.
Example: “Can I travel with an expired passport?”

To rank higher, a good idea is to structure your content around direct, well-formatted answers that align with these query types. Use FAQ sections, structured data, and concise, authoritative responses to increase your visibility in featured snippets and voice search.

ChatGPT vs. Google: Can AI Disrupt the Search Engine Giant?

The search industry is facing a potential shake-up as AI tools like ChatGPT gain traction. While Google still dominates with 83.54% market share, ChatGPT is making waves, capturing an estimated 4.33% of search activity as of October 2024. For a platform just over a year old, that’s a significant milestone.

Unlike traditional search engines, ChatGPT provides conversational, context-aware responses that go beyond simple answers. With 300 million weekly active users and 1 billion daily messages, it’s clear that users are embracing this shift in search behavior. ChatGPT even outpaced Bing’s U.S. website traffic in September 2024, amassing 3 billion visits (SimilarWeb).

Generative AI is also gaining market dominance. ChatGPT leads with 59.2% share of the AI chatbot market, far ahead of Microsoft Copilot (14.4%) and Google Gemini (13.5%). This highlights how generative AI is redefining user expectations for search, prioritizing context-rich, actionable insights over traditional search formats.

However, challenges remain. Current data excludes in-app usage and API calls, meaning ChatGPT’s true market impact may be underestimated. Additionally, treating every prompt as a “search” oversimplifies its use case.

For search marketers, ChatGPT’s rise signals the need to adapt. Optimizing for conversational AI, leveraging AI tools for content creation, and integrating with platforms like ChatGPT are key strategies to stay ahead. As users increasingly value personalized, task-driven assistance, marketers must shift focus from traditional SEO to creating AI-friendly, conversational content.

The search landscape is evolving. While Google remains dominant, ChatGPT’s rapid growth is reshaping what’s possible. The question is no longer if AI will disrupt search—it’s how much. Are you ready to evolve with it?

SearchGPT is Coming for Google Search Revenue

Forget the hoo-hah around content being magically written using ChatGPT or Claude generative AI applications and the impact of this on content creation for websites. The main OpenAI application for monetization will be the integration of SEARCH.

In 2002, “SearchForecast” rolled out its first ‘forecast’ about Google’s algorithm, it’s Pay Per Click ad model and had a front row seat watching their powerful ascension to being a monopoly where today they control 84% of global search market for desktop (and in many countries 95%+ market share).

As of October 2024, ChatGPT appears to be introducing the integration of SearchGPT into its main iOS app. A new search icon now shows up in the text input area, indicating the availability of this feature. This will be rolled out globally and puts Google and Bing squarely in the target zone of Open AI.

In 2023, Google earned approximately $237.86 billion U.S. dollars in ad revenue. This revenue is generated primarily through its Google Ads platform, which allows advertisers to showcase ads, product listings, and service offerings across Google’s extensive ad network, including its own properties, partner websites

Make no mistake, that subscription revenue Open AI receives will be insignificant compared to potential advertising revenue generated from their SearchGPT product. Watch this space!!

Answers Engine Optimization & Zero Click Searches

The magic number If you’re looking for a roadmap for optimization is 58.5%. This is the most informative statistic as it is the percentage of “zero clicks” after Americans perform a search on Google. Only 41.5% click out of the Google page after their search query which is why “Answers Engine Optimization” is so critical.

Google is increasingly providing drop down question and lists to keep users on the page so they don’t click out of the results page and perform another search OR click on one of the questions which displays the answer. This is called ‘Answer Engine Optimization’. See below for an example.

Nearly 10% of organic search clicks on Google are directed towards ‘questions’ displayed in the search results, which link to websites providing relevant answers. Answer Engine Optimization (AOE) refers to optimizing content in a question-and-answer format. Search engines are increasingly incorporating these questions into the snippets shown on search results pages.

For example, a search query of “What’s the best school district santa clara, ca” the below results page appears. As users click a question, new series of more relevant questions appear.

Is Conversational AI a knock out punch for SEO?

Google’s Search Generative Experience (SGE) has a more conversational feel to it. Questions appear below answers and the results page is more interactive, feels more intuitive and simulating a human response – which is after all what Artificial Intelligence does.

It’s a given now in Silicon Valley that conversational agents are expected to replace traditional software UIs, creating more human and natural interactions. And that includes the results pages for search engines. Now that might seem like a knock out punch for organic rankings and fulfil Google’s shareholder dreams to monetize the entire page with paid ads yet hold on amigo! We’re not done yet as the lifeblood of Google’s search engine is the functionality of being able to find relevant, third party information.

Google’s Search Generative Experience isn’t working to everyone’s satisfaction as we can see below! So it will take some time for Google and Bing to fully roll out correct versions of thier AI search products. That might take many years.

When Marc Phillips spoke to several hundred retailers recently at a conference, it was obvious that AI was still nascent for most business folks outside of technology, education and information services fields. Not every industry is drinking the Kool Aid of AI outside of Silicon Valley! Sure, AI is transformative yet as one store owner commented ‘AI sure isn’t going to sell products on the showroom floor to my customers’.

Perhaps the best advice is for everyone to use AI in different applications as it’s early days and change is the only constant right now in the AI world.

Programmatic SEO

Programmatic SEO is database driven content that increases the reach and frequency of published web pages on your website in search engines. It’s typically done using specifically written content pages that dynamically change keywords based on either locations or other content variables. Here’s a few examples from clients.

https://www.avasflowers.net/local-florists has thousands of SEO pages programmatically driven via database calls.

https://www.avasflowers.net/colorado,
https://www.avasflowers.net/new-jersey
https://www.avasflowers.net/illinois
> https://www.avasflowers.net/illinois/florist-peoria-il/
> https://www.avasflowers.net/illinois/florist-lake-forest-il/

Our client https://www.greatvaluevacations.com/travel-inspiration converts 1 in every 15 customers.

Another client Cloudstaff.com also has a range of programmatic SEO pages developeed by SearchForeacast:

https://www.cloudstaff.com/find/customer-service-outsourcing/los-angeles-california/
https://www.cloudstaff.com/find/digital-marketing-outsourcing/chicago-illinois/
https://www.cloudstaff.com/find/offshore-developers/san-antonio-texas/

Google Moves Goal Posts on GA4

Or should I say, Google took away the goal posts. So frustrating for so many clients. Benchmarking against many simple metrics inside Google Analytics Universal is now GONE.

You can now see Google Analytics 4 has a new metric called “Engagement Rate” which is calculated by engaged sessions divided by sessions. An engage session is a session that lasts longer than 10 seconds, has a conversion event, or has at least 2 pageviews or screenviews. Importantly, the engagement replaces bounce rate in GA4.

Secondly, we need to know what is a good, bad & ugly “engagement rate” and so how are we going to know this… Turns out there’s some data out there from Databox Inc, a US bennchmarking Group which shows the median value of the GA4 Engagement Rate = 56.23%. Go figure what this means as clients we speak to just shake their heads and say WHY!

Red Flags Discovered for Private Equity & Venture Capitalists in Due Diligence

For many years, SearchForecast has been engaged by venture capital firms here in Silicon Valley to help partners making investments conduct due diligence. Similarly, private equity firms have reached out to us to help them ‘look under the hood’ and find any ‘red flags’ in technology businesses they are looking to acquire. This often involves side bar conversations about tech / marketing and capital requirements for building projected marketing & sales funnels.

Here’s an excerpt of Bert and Marc presenting some findings across real clients that due diligence was undertaken on.