Video: Google June Core Update Done, Local Ranking Update, AI Mode Updates & AI Calling Businesses – Search Engine Roundtable

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For the original iTunes version, click here.
Google’s June 2025 core update finished on Thursday after running for 16 days. It was a volatile Google update for a while with some recoveries. Google AI Mode gets Gemini 2.5 Pro and Deep Search but you need to pay. Google AI Mode with only link cards might be a bug. Google AI Overviews now can show many videos. Google Discover officially gets AI-generated summaries. Google Search Console added 24-hour comparison views. Google said a site barely indexed by Google may mean Google isn’t convinced by the site overall. Google Core Web Vitals was updated in Search Console but something seems off. Google Search Analytics API now shows metadata for incomplete data points. Google updated its merchant return policies and loyalty programs. Google local ranking documents were updated. Google Local Service Ads reviews are now managed on Google Business Profiles. Google AI Local calling feature is being tested, it is like Ask For Me feature. Google Business Profiles appeal tool now can show rejection reasons. Google also has a new way to show the status of your requested Business Profile edits. Google Business Profiles now asks for your WhatsApp and text number. Google Ads has this apply recommendation direction in the preview of Gmail emails. Google Ads expandable summary row for feed vs asset metrics. Google Ads Smart Bidding Exploration is rolling out for some advertisers. Google Ads change history report can show ghost users and we don’t know why. That was the search news this week at the Search Engine Roundtable.
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High Severity Zero-Day Vulnerability in Google Chrome – Cyber Security Agency of Singapore

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18 July 2025
Google has released security updates to address a zero-day vulnerability in its Chrome browser. Users and administrators are advised to update to the latest versions immediately.
Background
Google has released a security update for the Chrome browser addressing multiple vulnerabilities, including a high severity zero-day vulnerability (CVE-2025-6558).
Impact
Successful exploitation of the vulnerability could allow a remote attacker to potentially execute arbitrary code within the browser's GPU process and perform a sandbox escape via a crafted HTML page.
Known Exploitation
Google is aware that an exploit for this vulnerability exists in the wild.
Affected Products
The vulnerability affects Google Chrome versions prior to 138.0.7204.157.
Note: Other Chromium-based browsers (e.g. Microsoft Edge, Brave, Opera) may also be affected and users are advised to apply the fixes when they are available.
Mitigation
Users of Chrome browsers are advised to upgrade their browser to the latest versions.
Users are also encouraged to enable automatic updates in Chrome browser to ensure that their software is updated promptly.
References
https://nvd.nist.gov/vuln/detail/CVE-2025-6558
https://chromereleases.googleblog.com/2025/07/stable-channel-update-for-desktop_15.html
https://www.bleepingcomputer.com/news/security/google-fixes-actively-exploited-sandbox-escape-zero-day-in-chrome/

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What’s new in Google Workspace: Integrations that actually make a difference for SMBs – gHacks Technology News

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What’s new in Google Workspace: Integrations that actually make a difference for SMBs  gHacks Technology News
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Google now indexes Instagram content: What this means for hotels & SEO strategy – Hospitality Net

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It used to be that when someone searched for your business on Google, your Instagram pages wouldn’t appear. That’s finally changing, as Instagram has decided to allow Google to display public posts, reels, and videos in external search results.
This change opens a new path for organic reach and discoverability. With Instagram content now visible outside the app and directly in search results, it optimizes visibility for search-first intent. This latest move strengthens the connection between SEO and social media, creating new opportunities for businesses to reach their audiences.
The ability to showcase real travel experiences through Instagram content enables hotels to connect more effectively with potential guests. When users can access this level of experiential content on search engines, hotels will experience numerous benefits:
As AI-generated content becomes more widespread, the demand for genuine and authentic content grows. AI-powered search engines now prioritize original and user-generated content (UGC).
While travelers are often drawn to picture-perfect photos and videos when planning trips and booking hotels, they also seek real, unfiltered insights into a hotel. Travelers want to see authentic experiences to get a true sense of a potential hotel stay. This change makes Instagram’s decision to allow Google to index posts, reels, and videos a significant turning point.
Instagram’s audience is growing rapidly. With Instagram posts now being indexed, this creates an opportunity for hotels to significantly grow their reach. For example, if someone searches for “Best Rooftop Chicago,” a captivating reel could easily catch their attention. That’s why engaging visual content is more important than ever for search rankings.
Using keywords in Instagram captions and hashtags helps users find relevant content. This means that when users make common searches like hotels near popular attractions or the best things to do in a specific neighborhood, properties have more chances to appear and rank higher. Tagging the hotel’s location and sharing authentic, local experiences increases engagement and helps people connect more directly with the hotel’s presence in the area.
Honest reviews of visitors’ experiences boost user trust. It also strengthens your brand by increasing opportunities to build your property’s search visibility through posts, reels, and stories. Potential guests may feel more confident and at ease booking a stay when they can find engaging content about your hotel.
Since Google search engine indexing is more important than ever, brands must create social media content with search engine optimization (SEO) in mind. Here are some key elements that can influence how and whether Google indexes an Instagram post in search results:
Instagram’s decision to make its content searchable by Google will significantly impact the hospitality industry, where potential guests search for travel content online. Currently, visibility is essential; you need to appear where your audience is already looking. This feature creates a new opportunity for organic reach and discovery and offers hotels an excellent chance to combine social media and SEO through authentic storytelling.
Hotels can boost their visibility on social media and search results by optimizing their Instagram content with the right hashtags, keywords, alt tags, and engagement techniques. Businesses that move quickly to align their social media strategies with search behavior will lead in visibility, trust, and bookings as social media and SEO become more interconnected.
Cendyn is a global hospitality cloud-based technology company that enables hotels to drive revenue, maximize profitability, and create deeper connections with guests through its integrated solutions. Serving hoteliers for nearly 30 years, Cendyn drives commercial success for hotels through its Find, Book, Grow promise: find the right guests, drive them to book direct, and grow loyalty and revenue across the spectrum of digital guest interactions.
Cendyn has over 35,000 customers worldwide in more than 150 countries generating more than $20 billion in annual hotel revenue. The company supports its growing customer base from locations across the globe, including the United States, France, the United Kingdom, Singapore, Bangkok, and India. To find out more, visit cendyn.com
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Hospitality Net membership explained

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What healthcare CEOs need to know about SEO in 2025 (and how to dominate AI-powered search) – DOTmed

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What healthcare CEOs need to know about SEO in 2025 (and how to dominate AI-powered search)  DOTmed
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37 AI content generators to explore in 2025 – TechTarget

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There are many types of AI content generators with a variety of uses for consumers and businesses.
ChatGPT, a powerful AI chatbot, inspired a flurry of attention with its November 2022 release. The technology behind it at its release — the GPT-3 language model — had existed for some time. But ChatGPT made the technology publicly available to nontechnical users and drew attention to all the ways AI can be used to generate content. Now, more than two years after its release, many AI content generators have been created for different use cases.
This has prompted questions about how the technology will change the nature of work. Some schools are banning the technology for fears of plagiarism and cheating. Others are leaning into the technology. Lawyers are debating whether it infringes on copyright and other laws pertaining to the authenticity of digital media. President Joe Biden also passed an executive order in October 2023 that addressed the technology’s opportunities and risks in the workforce, education, consumer privacy and a range of other areas. Generative AI has the potential to change the way content is created.
AI-generated content — or generative AI — refers to the algorithms that can automatically create new content in any digital medium. Algorithms are trained on a large amount of data. Outputs are then returned based on that data and a comparatively little bit of user input. But the key is that content is new and generated automatically.
The most common example of a generative AI tool is ChatGPT. ChatGPT performs natural language processing and multimodal processing. It is based on the GPT series of AI models, the latest of which is GPT-4o. GPT-4o is trained on a large amount of human data from the internet — audio, text and images — and teaches the language model how to respond when interacting with users.
This article is part of
Other generative AI programs work in a similar way. They are trained to develop a body of knowledge and use that knowledge to create novel outputs.
Many commercial generative AI offerings are currently based on OpenAI’s generative AI tools, such as ChatGPT and Codex.
AI-generated content is not just limited to mimicking human writers. AI-generated content also exists in other media, such as the following:
Despite the many types of content generative AI can create, the algorithms used to create it are often large language models such as GPT-4 and Gemini. Many content generators also use multimodal models, which enable them to take inputs and produce outputs in different mediums — including text, images, video and audio. Over time, more models are being infused with multimodal capabilities, expanding their capabilities beyond just written word. GPT-4 and Gemini are both multimodal. GPT-4’s predecessors — GPT-3 and prior — were not multimodal.
These different media can be used in tandem to generate various content. They can be used in many different fields, including the following:
There are AI content generator tools in every medium — some paid and some free. Many are based on similar technology and add features to address specific user needs. Below are some of the top content generators organized by content type.
While automatically generating content has its benefits, it’s also fraught with risk and uncertainty. Read up on some of the pros and cons of AI-generated content.
Ben Lutkevich is a technical features writer for WhatIs.com, where he writes technology explainers and definitions.

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What is GPT-3? Everything You Need to Know – TechTarget

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GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning (ML) model trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.
GPT-3’s deep learning neural network is a model with more than 17 billion ML parameters. To put things into perspective, the largest trained language model before GPT-3 was Microsoft’s Turing Natural Language Generation (NLG) model, which had 17 billion parameters. As of early 2021, GPT-3 is the largest neural network ever produced. As a result, GPT-3 is better than any prior model for producing text that seems like a human could have written it.
GPT-3 and similar language processing models are commonly referred to as large language models (LLMs). Industry experts criticized GPT-3’s developer OpenAI and former CEO Sam Altman for switching from an open source to a closed source approach in 2019. Other LLM developers include Google DeepMind, Meta AI, Microsoft, Nvidia and X.
GPT-3 processes input text to perform a variety of natural language tasks. It uses both NLG and natural language processing to understand and generate natural human language text. Generating content understandable to humans has historically been a challenge for machines that don’t know the complexities and nuances of language. GPT-3 has been employed to create articles, poetry, stories, news reports and dialogue, using a small amount of input text to produce large amounts of copy.
This article is part of
GPT-3 can create anything with a text structure — not just human language text. A key GPT-3 capability is understanding and generating coherent and contextually relevant responses to a wide range of prompts. It’s highly versatile in tasks such as writing essays and stories, answering questions, summarizing text, composing poetry and generating programming code.
GPT-3’s large size lets it capture complex patterns in text data and generate fluent and contextually appropriate output. This makes it valuable for automating content creation and enhancing natural language understanding tasks. GPT-3’s ability to understand and generate humanlike text opens up applications in customer service, content creation, language translation and education.
One notable GPT-3 use case is OpenAI’s ChatGPT language model. ChatGPT is a variant of the GPT-3 model, optimized for human dialogue, that can ask follow-up questions, admit mistakes it has made and challenge incorrect premises. ChatGPT was made free to the public during its research preview to collect user feedback. It was designed in part to reduce the possibility of harmful or deceitful responses.
Another common example is OpenAI’s Dall-E, an AI image-generating neural network built on a 12 billion-parameter version of GPT-3. Dall-E was trained on a data set of text-image pairs and can generate images from user-submitted text prompts.
Using only a few snippets of example code text, GPT-3 can also create workable code that can be run without error, as programming code is a form of text. Using a bit of suggested text, one developer has combined the user interface prototyping tool Figma with GPT-3 to create websites by describing them in a sentence or two. GPT-3 has even been used to clone websites by providing a URL as suggested text. Developers are using GPT-3 in several ways, including generating code snippets, regular expressions, plots and charts from text descriptions, Excel functions and other development applications.
GPT-3 is starting to be used in healthcare. One 2022 study explored GPT-3’s ability to aid in the diagnoses of neurodegenerative diseases such as dementia. It detects common symptoms, such as language impairment in patient speech, as part of the diagnosis process.
AI tools based on GPT-3 are also being used for the following applications:
GPT-3 is a language prediction model. This means that it has a neural network ML model that can take input text and transform it into what it predicts the most useful result will be. These systems are trained using a vast body of internet text to spot patterns in a process called generative pre-training. GPT-3 was trained on several data sets, each with different weights, including Common Crawl, WebText2 and Wikipedia.
GPT-3 is first trained through a supervised testing phase and then a reinforcement phase. When training ChatGPT, a team of trainers asks the language model a question with a correct output in mind. If the model answers incorrectly, the trainers tweak the model to teach it the right answer. The model can also give several answers that trainers rank from best to worst.
GPT-3 has more than 175 billion ML parameters and is significantly larger than its predecessors, including previous LLMs such as Bidirectional Encoder Representations from Transformers (BERT). Parameters are the parts of an LLM that define its skill on a problem, such as generating text. LLM performance generally scales as more data and parameters are added to the model.
When a user provides text input, the system analyzes the language and uses a text predictor based on its training to create the most likely output. The model can be fine-tuned, but even without much additional tuning or training, the model generates high-quality output text that feels similar to what humans would produce.
When a user provides text input, the system analyzes the language and uses a text predictor based on its training to create the most likely output. The model can be fine-tuned, but even without much additional tuning or training, the model generates high-quality output text that feels similar to what humans would produce.
GPT-3 advantages include the following:
While GPT-3 is remarkably large and powerful, it has several limitations and risks associated with its use.
OpenAI, the original developer of GPT-3, has several GPT-3 models. The algorithms of each GPT-3 AI model were developed using different training data and are designed for specific tasks. The most important include the following:
GPT-3 is used by a range of industries such as the following:
Formed in 2015 as a nonprofit, OpenAI developed GPT-3 as one of its research projects. It aimed to tackle the large goals of promoting and developing “friendly AI” in a way that benefits humanity as a whole.
The first version of GPT was released in 2018 and contained 117 million parameters. The second version of the model, GPT-2, was released in 2019 with around 1.5 billion parameters. GPT-3 jumped over GPT-2 by a huge margin with more than 175 billion parameters — more than 100 times its predecessor and 10 times more than comparable programs.
Earlier pre-trained models, such as BERT, demonstrated the viability of the text generator method and showed the power that neural networks have to generate long strings of text that previously seemed unachievable.
OpenAI released access to GPT-3 incrementally to see how it would be used and to avoid potential problems. The model was released during a beta period that required users apply to use the model, initially at no cost. However, the beta period ended in October 2020, and the company released a pricing model based on a tiered credit-based system that ranges from a free access level for 100,000 credits or three months of access to hundreds of dollars per month for larger-scale access. In 2020, Microsoft invested $1 billion in OpenAI to become the exclusive licensee of the GPT-3 model. This means that Microsoft has sole access to GPT-3’s underlying model.
ChatGPT launched in November 2022 and was free for public use during its research phase. This brought GPT-3 more mainstream attention than it previously had, giving many nontechnical users an opportunity to try the technology. GPT-4 was released in March of 2023 and is estimated to have 1.76 trillion parameters. OpenAI hasn’t publicly stated the exact number of parameters in GPT-4, however.
There are many open source efforts in play to provide a free and non-licensed model as a counterweight to Microsoft’s exclusive licensee status for GPT-3. New language models are published frequently on Hugging Face’s platform.
It’s unclear exactly how GPT-3 will develop in the future, but it’s likely it will continue to find real-world uses and be embedded in various generative AI applications. Many applications already use GPT-3, including Apple’s Siri virtual assistant. Where possible, GPT-4 is being integrated where GPT-3 has been in use.
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ContentKeon Leads the Pack in SEO-Driven Content Writing Services in Delhi – FinancialContent

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As search visibility is the key to business survival in the current digital era, Delhi’s ContentKeon is a Delhi market leader in offering high-impact content writing services in Delhi with a sharp focus on SEO content writing for global clients in multiple sectors.
Being one of the top Delhi-based content writing agencies, ContentKeon has established itself as a provider of content that speaks and converts. Through the combination of technical SEO strategy and creative content writing, the agency provides precision-crafted content writing for SEO that boosts search rankings and brand visibility.
Industry observers have pointed out that the Avatar of ContentKeon is no coincidence. As organic visibility and quality traffic demand grows, companies seek professionals who know the algorithm and the audience. It is where ContentKeon’s SEO content writing services in India come in — providing customised solutions for brands wanting to conquer digital search.
“We write with intent. Each headline, keyword, and paragraph is written with discoverability in mind to engage human readers,” a ContentKeon senior strategist explained. “SEO is not a technical checklist — it’s intentional storytelling.”
In-Depth SEO Content Writing Services
ContentKeon provides full-range content writing services, including:-

Each article is supported with in-depth keyword research, competitive research, and a solid understanding of Google’s continuously changing ranking factors — i.e., clients receive content that performs.
Driving Results across Sectors
From fintech and EdTech startups to healthcare websites and global e-commerce players, ContentKeon has provided measurable SEO results through its content models. The company blends market insight with storytelling and has stuck to its guns in ensuring brands rank on the front pages without compromising quality or readability.
Setting New Standards in SEO Content Writing
ContentKeon is setting innovative standards in India’s SEO content writing profession to meet the growing need for performance-driven content. It has been the go-to partner for businesses looking to expand organic growth because of its client-centric strategy, local language proficiency, and stringent editorial quality checks.
Media Contact
Company Name: ContentKeon
Contact Person: Rakesh Kumar
Email: Send Email
Phone: +918377017054
Address:Room No.1, Third Floor, Plot No.5, Street No. 2, 2, Westend Marg, behind Saket Metro Gate, Saiyad ul Ajaib
City: New Delhi
State: Delhi
Country: India
Website: https://www.contentkeon.com

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SEO Alert! Google Releases June 2025 Core Update: It Will Last Three Weeks – Revista Merca2.0

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GOOGLE CORE UPDATE 2025
Google has officially launched its June 2025 core update, a central update that, as in previous occasions, is expected to cause volatility in search results over the coming weeks. This adjustment to Google’s algorithms represents the second core update of the year, and its full rollout will take up to three weeks, according to the company itself.
The update began this Monday, June 30, 2025, at 7:34 a.m. (Pacific Time), according to the Google Search Status Dashboard. Google explained that this core update “may take up to three weeks to complete,” as has happened with similar processes in the past.
The company also stated it will update its ranking release history once the rollout is completed.
In recent days, the SEO community has reported extremely high volatility in rankings, with abrupt movements not officially confirmed by Google.
Just on June 28, multiple SEO monitoring tools and specialized forums recorded a significant spike in ranking instability, similar to what is usually observed during major updates. However, Google had not confirmed any intervention… until today.
Core updates are major updates to Google’s search algorithms designed to improve the search engine’s ability to display useful, high-quality, and relevant content.
Unlike more specific adjustments, such as spam or product review updates, core updates are not focused on a particular type of content or industry. They can affect websites from:
In Google’s own words: “There’s nothing new or special that creators need to do for this update as long as they’ve been producing helpful, satisfying content designed for people.”
Google recommends staying calm and avoiding hasty decisions over the next three weeks. However, experts advise to keep a very close eye on the following indicators:
Google insists that, in the event of a drop in rankings, it does not always mean there is something wrong with your pages. However, if your traffic is negatively affected, consider:
The latest major adjustments to Google’s algorithm have been:
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