Google on Separating Content By User Intent

Published

3 years ago

October 15, 2021

google on separating content by user intent via sejournal mattgsouthern

Google explains what it means when it suggests separating content by user intent, such as one place for information-based content and another for transaction-based content.

Separating content by user intent allows Google to serve the right pages to the right user at the right time.

Otherwise, Google may end up serving product pages to people who aren’t interested in buying anything.

But does that mean you can’t have information-based content on the same website as transaction-based content?

That’s what site owner Christian Kunz asks Google’s John Mueller during the SEO office-hours hangout recorded on October 8.

Kunz operates an ecommerce site and he’s concerned about adding too much information-based content to his product pages.

He asks if the non-transactional content should be siloed off into its own section.

Or, perhaps, should it not be on the site at all?

Here’s what Mueller advises.

Google’s John Mueller on Separating Content

When asked for clarity on separating content, and whether it should be done at the page-level or website-level, Mueller says:

“I don’t think we have that documented or defined. But my understanding is that this is more of a page-level thing.

Because it’s— I mean, just purely from trying to think of it as— I don’t know— a practical way, like how you would implement it, and look at websites overall.

A lot of websites just have a mix of different kinds of content. And then you try to figure out which of these pages match the searcher’s intent, and try to rank those appropriately.

So my feeling is this is something more that would be on a page-level rather than on a website level.”

It’s fine to combine content geared toward different user intents on the same website.

But keep it separated at the page level.

Mueller gives the example of a website that focuses on breaking news, but has special sections dedicated to notable events in history.

Because the historical content is separated into its own section, Google knows not to serve those pages when people are looking for recent news stories.

“You see that with news websites often that they have the recent events, but they also have sections for maybe older events that took place… they kind of have an isolated archive section. And those are very different intents.

Like if you want something really now that is happening, or if you want some kind of informational research, evergreen-type content. And there too we kind of have to look at it on a per page basis and not say, oh, this is a research website because there’s some research content here.”

The same idea applies to an ecommerce website.

You could have one section dedicated to selling products, and another section dedicated to information about those products.

Then Google can serve the right pages when people are looking to buy one of the products, versus looking for something like assembly information.

A modicum of informational content on a product page should be fine.

But including a whole brochure’s worth of information could make it confusing for Google to recognize it as a product page.

Hear Mueller’s response in the video below:

Featured Image: Andrii Yalanskyi/Shutterstock

Searchenginejournal

Google Warns About Misuse of Its Indexing API

Published

3 weeks ago

September 12, 2024

Max

Google Warns About Misuse of Its Indexing API

Google has updated its Indexing API documentation with a clear warning about spam detection and the possible consequences of misuse.

Warning Against API Misuse The new message in the guide says:

“All submissions through the Indexing API are checked for spam. Any misuse, like using multiple accounts or going over the usage limits, could lead to access being taken away.”

This warning is aimed at people trying to abuse the system by exceeding the API’s limits or breaking Google’s rules.

What Is the Indexing API? The Indexing API allows websites to tell Google when job posting or livestream video pages are added or removed. It helps websites with fast-changing content get their pages crawled and indexed quickly.

But it seems some users have been trying to abuse this by using multiple accounts to get more access.

Impact of the Update Google is now closely watching how people use the Indexing API. If someone breaks the rules, they might lose access to the tool, which could make it harder for them to keep their search results updated for time-sensitive content.

How To Stay Compliant To use the Indexing API properly, follow these rules:

Don’t go over the usage limits, and if you need more, ask Google instead of using multiple accounts.
Use the API only for job postings or livestream videos, and make sure your data is correct.
Follow all of Google’s API guidelines and spam policies.
Use sitemaps along with the API, not as a replacement.

Remember, the Indexing API isn’t a shortcut to faster indexing. Follow the rules to keep your access.

GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

Published

3 months ago

June 30, 2024

Entireweb News Bot

This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

Link Cards: Google is testing link cards at the top of AI-generated overviews.
Health Overviews: There are more AI-generated health overviews showing up in search results.
Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

Credit Card Widget: Google is testing a new widget for credit card information in search results.
Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

AI

Exploring the Evolution of Language Translation: A Comparative Analysis of AI Chatbots and Google Translate

Published

7 months ago

February 26, 2024

Max

A Comparative Analysis of AI Chatbots and Google Translate

According to an article on PCMag, while Google Translate makes translating sentences into over 100 languages easy, regular users acknowledge that there’s still room for improvement.

In theory, large language models (LLMs) such as ChatGPT are expected to bring about a new era in language translation. These models consume vast amounts of text-based training data and real-time feedback from users worldwide, enabling them to quickly learn to generate coherent, human-like sentences in a wide range of languages.

However, despite the anticipation that ChatGPT would revolutionize translation, previous experiences have shown that such expectations are often inaccurate, posing challenges for translation accuracy. To put these claims to the test, PCMag conducted a blind test, asking fluent speakers of eight non-English languages to evaluate the translation results from various AI services.

The test compared ChatGPT (both the free and paid versions) to Google Translate, as well as to other competing chatbots such as Microsoft Copilot and Google Gemini. The evaluation involved comparing the translation quality for two test paragraphs across different languages, including Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic.

In the first test conducted in June 2023, participants consistently favored AI chatbots over Google Translate. ChatGPT, Google Bard (now Gemini), and Microsoft Bing outperformed Google Translate, with ChatGPT receiving the highest praise. ChatGPT demonstrated superior performance in converting colloquialisms, while Google Translate often provided literal translations that lacked cultural nuance.

For instance, ChatGPT accurately translated colloquial expressions like “blow off steam,” whereas Google Translate produced more literal translations that failed to resonate across cultures. Participants appreciated ChatGPT’s ability to maintain consistent levels of formality and its consideration of gender options in translations.

The success of AI chatbots like ChatGPT can be attributed to reinforcement learning with human feedback (RLHF), which allows these models to learn from human preferences and produce culturally appropriate translations, particularly for non-native speakers. However, it’s essential to note that while AI chatbots outperformed Google Translate, they still had limitations and occasional inaccuracies.

In a subsequent test, PCMag evaluated different versions of ChatGPT, including the free and paid versions, as well as language-specific AI agents from OpenAI’s GPTStore. The paid version of ChatGPT, known as ChatGPT Plus, consistently delivered the best translations across various languages. However, Google Translate also showed improvement, performing surprisingly well compared to previous tests.

Overall, while ChatGPT Plus emerged as the preferred choice for translation, Google Translate demonstrated notable improvement, challenging the notion that AI chatbots are always superior to traditional translation tools.

Source: https://www.pcmag.com/articles/google-translate-vs-chatgpt-which-is-the-best-language-translator