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At RSA Conference, tales of real-world cyberattacks and warnings of … – SiliconANGLE News

The challenges of securing organizations havent changed much in the past year, and that means theres still a lot more that needs to be done especially as generative artificial intelligence and chatbots will require new tactics to fight attackers.

Thats according to two panels that presentedat last weeks RSA Conference in San Francisco. Among their other findings: Responding to incidents still could be better with more threat sharing and better public/private partnerships, analysts still have some tough sledding ahead as these new attacks appear almost like clockwork, and theres still a burning need for more training of new professionals in the field.

There are some bright spots, such as the way analysts quickly figured out the 3CX supply chain attack and shared its particulars. But ransomware and data extortion are still popular attack methods, and the bad guys are getting better at finding and fooling their target victims.

The first panel wasa perennial favorite at the conference, organized by the SANS Institute, a leading security training and education nonprofit. Moderated by Ed Skoudis, who is president of the SANS College, it featured SANS top cybersecurity instructors with many decades of collective cybersecurity experience: Heather Mahalik, a senior director at Cellebrite DI Ltd.; Katie Nickels, director of threat intelligence for Red Canary and one of the contributors to the Mitre ATT&CK framework; and Stephen Sims and Johannes Ullrich, both of SANS.

They came together to discuss their top most dangerous new attack techniquesthey have seen in the past year. Each panelist focused on their own favorite attacks, includingsearch engine optimization and paid advertising, adversarial AI, ChatGPT-powered social engineering and software supply chain attacks.

Nickels showed Gootloader, a new piece of this type of malware(below), which exploit SEO keywords and paid ads by placing their search results and ads at the top of the page. This tricks victims to click on their spoofed, and similarly appearing, websites and then download malware to their computers that open up access for the attackers.

The best ways to fight these attacks is to continually improve user awareness training methods that illustrate the attacks and train users to download software from trusted sources. If you see Gootloader in your environment, make sure you cut it off early because it could lead toward ransomware, Nickels said. This can lower the barriers for attackers and make them more effective.

Adversarial AI attacks are certainly top-of-mind these days as the explosive use of machine learning and large language models has focused interest in this topic. AI has made it easier to hone phishing attacks, improving their focus and their grammar to make them more realistic to temp their targets. Sims showed how he used the AI to seek out and find these types of exploits. Sims and Nickels both suggest that better defense-in-depth is needed that automates detection, response and mitigation actions.

ChatGPT-powered social engineering is your malicious access point, says Mahalik, who took the AI-as-bad-actor theme a step further. She had it write various impersonating phishing lures for her nine-year old son, with his prior consent. They were quite believable. For businesses, she recommends that you learn how to use it and understand how it works.

Next up are attacks specifically targeting third-party developers as part of leveraging the software supply chain. These attacks included malware that was installed on developers during the SolarWinds and LastPass breaches, along with the more recent 3CX attack. Ullrich showed how hard it is to figure out when a malicious piece of code is substituted for a legit one during the development cycle. He mentioned that often developers ignore security warnings, thinking they are false positives. A better strategy is to educate developers, review plug-ins, audit and limit credentials, and scan for dependent code throughout software supply chains.

The 3CX exploits were also the topic of another panel that described real-world incidents and threat response stories. The panel featured Lily Hay Newman, a Wired magazine senior writer and the moderator, Lesley Carhart of Dragos Inc., Nickels from Red Canary in her second appearance at the conference, and Wendi Whitmore, senior vice president of Unit42 at Palo Alto Networks Inc., who also appeared on theCUBE, SiliconANGLEs livestreaming video studio.

While the first panel spoke about the actual incidents, this panel was focused on more of the how, such asdealing with breach fatigue, disclosure announcement timing, transparency and mentoring new professionals.

Nickels pointed out that the quick action of CrowdStrike Holdings Inc. analysts on a Reddit discussion forum elevated the method of the 3CX attack, the specifics which Wikibon Chief Analyst Dave Vellante and Idiscussed recently, to a wider community of threat responders who were able to diagnose, mitigate and document what happened.

It is an example of the power of collaboration and public sharing, she said. Something that is targeting you is probably hitting other organizations, and it helps to share tactics and techniques. Carhart and Whitmore both recommend getting more involved in professional groups that are designed for sharing breach details, such as the various Information Sharing and Analysis Centersand NSAs Cybersecurity Collaboration Center that have been constructed for this purpose.

The first24 hours after a breach are critical, especially for an analyst to get beyond being scared and to try to be somewhat skeptical. Think skepticism, curiosity and stay calm, Whitmore advised. Nickels said analyst must be careful of what they know and what they dont know, especially initially. She mentioned cases of data extortion, and recommended that an analyst should take the time to figure out if the stolen data is actually a new case or something that transpired in the past.

The panel discussed how to deal with breach fatigue and analyst burnout as well. There is a lot of high stress and can go on for weeks, so it is important to plan for handoffs among analysts, Carhart said. And as Nickels pointed out, Panic should not a necessary part of incident response, there is a difference between panicking and having a sense of urgency. She also recommended having a shorter on-call rotation among a group of analysts, such as a couple of days, and conducting after-action discussion after an incident has ended and follow up on any needed changes so analysts dont make the same mistakes.

Newman asked her panel to talk about difficult issues for incident responders, and the panel touched on the fact that many incidents happen because of simple security hygiene mistakes, and that many victims dont want to disclose to the public what happens. Know what your perimeter is, that your network is properly segmented, and you know what your overall assets are, said Carhart. They can be challenging especially if you have a large network.

The panel also covered how to train and mentor the next crop of analysts. We didnt have a great support structure when we all got into this field, noted Carhart. She runs several online resources, including career counseling office hours, to help build our pipelines. We need people from all over the world to help with this effort, she said.

TheCUBEis an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate thecontent you create as well Andy Jassy

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At RSA Conference, tales of real-world cyberattacks and warnings of ... - SiliconANGLE News

ChatGPT fails: 13 common errors and mistakes you need to know – Search Engine Land

Ive written about ways to use ChatGPT for SEO and content marketing-related tasks, like keyword research, crafting title tags and local SEO.

I use it at least once daily for a variety of tasks. The more you use the platform, the more valuable it will be to you to understand its limitations.

The founder of OpenAI (the company that built ChatGPT) has called the tool incredibly limited and a horrible product and has cautioned users about how much they rely on it:

Multiple publications have published content with errors on meaningful YMYL (Your Money or Your Life) topics like personal finance and health.

This article discusses the most common technical errors and the frequent mistakes when using ChatGPT and how to address them.

If youve been using ChatGPT for a long time (i.e., since late 2022), youve probably seen the prompt below at some point.

Obviously, a new software product in an emerging technology field thats massively popular will run into problems.

If youre making ChatGPT an integral part of your daily workflow, knowing the common issues you may encounter is helpful.

ChatGPT also has issues familiar to any website, such as 404 not found errors, 5xx internal server errors, 403 access denied errors, and Cloudflare errors like 1020 and 524 errors.

Often these can be fixed by clearing your cache, using (or turning off) a VPN, or ensuring youre typing the web address correctly.

And there are also several errors more specific to the platform:

Often, users may hit specific character limits, token limits, or limits in functionality with the ChatGPT API.

There are limits to how many characters you can enter into ChatGPT and how many characters ChatGPT responses can be.

They vary depending on your version (e.g., GPT-3.5 has an input limit of 2048, and GPT-4 is 4,096) and in the web interface versus the API.

If ChatGPT is processing a long and complex response, it will sometimes just time out.

You might see this when asking the platform to perform functions like writing code or analyzing and responding to long inputs.

Not an error per se, but frequently, if you ask ChatGPT to write code or a long text, it will just stop mid-way.

You can type continue, and it will finish within the next few prompts in these instances.

ChatGPT, at the time of writing, limits the number of messages you can use per time period, even for paid accounts.

Similarly, there is specific rate-limiting for different GPT versions, OpenAI tools, and account types.

Depending on the level of access required or session duration. ChatGPT may log you out, or you may not have access to certain features with certain account statuses.

Most of these issues can be resolved by:

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ChatGPT makes many mistakes, including:

Other users have detailed instances of the platform lying to get a CAPTCHA solved and issues with simple math problems related to age and distance.

Some of this has improved with GPT-4, but not all. Here is a prompt and output using the latest version of ChatGPT:

While its fun to do gotcha prompts and catch ChatGPT saying incorrect or goofy things, its more beneficial to be aware of areas where ChatGPT can be wrong the categories of wrongness, if you will.

Understanding these will make you both a better prompt engineer and output editor. Let's walk through the most common categories of mistakes I know.

The hallucination issue is a significant problem for ChatGPT and other generative AI solutions.

ChatGPT will answer all kinds of questions that it doesn't know the answer to in a compelling way. That doesn't make the answer right.

The example screenshot above shows that it doesn't use any qualifying language or hedge at all. You get a decisive answer without equivocating.

ChatGPT is terrible at estimating and understanding character counts in any precise way.

If youre doing work related to SEO and content, this is a major limiting factor. You might be looking to write title tags, meta descriptions, or content where meeting a word count is necessary:

This is actually pretty close. I've had instances where the tool was much farther off.

I searched for logic puzzles and grabbed the first list of easy logic puzzles I found.

ChatGPT got the first three puzzles correct, then the fourth one wrong:

There are several real-life examples now of people using ChatGPT to build websites, apps and browser extensions or troubleshoot coding issues.

That said, ChatGPT can also generate code that doesn't work. I've encountered the following issues when using ChatGPT to help code:

Again, its imperative you always check the code youre deploying carefully and test the output of anything ChatGPT helps with.

Some users have also reported that GPT- 4 or even legacy mode (rather than the new default, Turbo) leads to better results for coding tasks.

The training data for ChatGPT may be updated at some point and various plugins and tools have started to integrate web crawling and real-time data.

Still, the web version of ChatGPT currently can't crawl the web and isnt aware of information from before late 2021.

This is important, particularly when coupled with the confident but wrong issue.

There is a limit to how many characters within a chat ChatGPT will remember so it will frequently make mistakes due to losing the context of your early prompts or its early answers.

As with coding, if you ask ChatGPT to perform functions like creating a table or formatting text in a certain way, it will sometimes make mistakes or ignore specific instructions.

So how can you get the most out of ChatGPT while dealing with the platforms issues and limitations?

Focusing on these key areas can help you avoid much of the potential downside of using ChatGPT in your day-to-day tasks:

Staying up to date with specific product limitations like (i.e., character limits for prompts and responses, the date of training data for GPT, etc.) will help you craft prompts that generate good responses and QA outputs better.

OpenAI does a good job of updating this information with new releases. Some items here are things they've explicitly said they are addressing.

This should be fairly obvious, but you must carefully edit any text and QA code before publishing or deploying it.

Due to how convincingly confident ChatGPT can be, I'd strongly recommend having a domain expert review content and code before its deployed.

Its relatively easy to be fooled by some of the content and assertions put out by ChatGPT, especially if a topic isnt your area of expertise.

But if you have deep experience on a topic, it's easier to catch misleading or inaccurate statements.

OpenAI has rolled out plugins and made a ChatGPT-specific API available.

You can address some of the platforms limitations by using different tools that others create or by creating some yourself.

Now that you know the potential pitfalls of ChatGPT, you can go on and establish guardrails for using the tool leveraging its benefits while avoiding many of the negatives.

Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.

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ChatGPT fails: 13 common errors and mistakes you need to know - Search Engine Land

The Benefits of Working with a B2B SEO Agency Instead of In-House – Times Square Chronicles

Money laundering is among the greatest threats to modern financial systems and society. From drug trafficking to illegal arms bartering, this criminal activity takes shape in many ways often with devastating consequences for unsuspecting victims.

To prevent money laundering from occurring, governments have increasingly mandated anti-money laundering (AML) training. But what does AML training entail? How do organizations go about implementing anti-money laundry protocols? In this blog post, well dive into the fundamentals of AML training so you can protect your business and keep customers safe from nefarious schemes.

Anti-Money Laundering training is essential in preventing financial crime. It refers to laws, regulations, and procedures to detect and prevent money laundering activities in financial institutions. AML training is designed to educate employees of financial institutions about the risks of money laundering and how to identify and report suspicious activities.

This training helps these employees to understand their role in preventing financial crime and how to comply with regulatory requirements. It also explains the importance of customer due diligence, transaction monitoring, and reporting suspicious behavior to regulatory bodies. Therefore, AML training provides financial institutions with the tools to combat money laundering and prevent financial crime.

An effective AML program is critical for any business in the financial sector. A robust AML program works to detect and deter money laundering activities by implementing various measures and policies that address multiple risk factors.

Some essential elements of an AML program include customer due diligence, enhanced due diligence for high-risk customers, ongoing monitoring, record-keeping, and reporting suspicious activities to regulatory bodies. A good AML program helps financial institutions fulfill their legal and regulatory obligations but also helps protect against reputational risks that may arise from association with money laundering activities.

As a result, businesses need an effective AML program to protect themselves, their customers, and the broader financial system.

In todays fast-paced world, financial institutions are critical players in ensuring the smooth operation of the global economy. However, these institutions are vulnerable to criminal activities such as money laundering, which can undermine the stability of financial markets. Anti-money laundering training can be a valuable tool for financial institutions to identify and prevent these illicit activities.

By providing employees with the knowledge and skills to recognize suspicious transactions, anti-money laundering training can help financial institutions protect themselves and their customers from financial crime. Additionally, such activity can help these institutions comply with regulatory requirements, ultimately leading to greater trust from their stakeholders and customers.

Financial institutions must have robust AML compliance programs as financial crimes continue to rise. To be effective, these programs must meet several requirements.

Firstly, institutions must have a clear internal governance structure that includes the leadership team, compliance officers, and other relevant departments. Secondly, a risk assessment process must be in place to identify and mitigate potential money laundering risks. Thirdly, institutions must implement policies and procedures that align with regulatory standards.

Fourth and last, staff should be trained on these policies, procedures, and compliance risks. An effective AML compliance program requires a comprehensive approach with clear governance structures, robust risk assessments, regulatory-aligned policies and procedures, and employee training.

An effective Anti-Money Laundering Program is crucial for all financial institutions to maintain compliance and prevent criminal activities. Companies can implement several key strategies to ensure the success of an AML program. This includes conducting thorough customer due diligence, implementing robust monitoring systems, training employees on AML best practices, and regularly reviewing and updating the program to stay ahead of evolving threats.

By staying vigilant and adhering to these strategies, financial institutions can protect themselves from legal and financial consequences and contribute to global efforts to combat money laundering and terrorist financing.

As AML regulations become more complex, organizations must find innovative ways to train employees and monitor compliance. Technology offers promising solutions. Leveraging virtual and augmented reality, e-learning modules, and data analytics can create a more engaging, interactive, and practical training experience.

Automated compliance monitoring systems can also help detect suspicious activity and flag potential money laundering cases. These tools not only improve AML measures but also save time, reduce costs, and provide valuable insights into the effectiveness of the entire AML program.

Technology can keep companies and their stakeholders safe as financial crimes become more sophisticated.

In summary, Anti-Money Laundering Training is essential for any financial institution. It helps to protect against different types of financial crime, including money laundering and terrorist financing. Ultimately, implementing an effective Anti-Money Laundering program is essential not only from a legal standpoint but also from an ethical perspective.

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The Benefits of Working with a B2B SEO Agency Instead of In-House - Times Square Chronicles

Arts Missoula Yearly Award Ceremony + Hazmat Certified Firefighters – Patch

May 1, 2023 1:11 pm MDT | Updated May 1, 2023 2:26 pm MDT

Hey, hello! I'm back with your fresh edition of the Missoula Patch newsletter. Let's get this day started off right with a quick dive into everything you need to know about what's happening in town these days.

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Sean Peek

About me: Sean Peek is a writer and entrepreneur with a degree in English Literature from Weber State University. Over the years, he has worked as a copywriter, editor, SEO specialist, and marketing director for various digital media companies. He currently co-owns and operates content creation agency Lightning Media Partners.

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Arts Missoula Yearly Award Ceremony + Hazmat Certified Firefighters - Patch

Top 10 Best Digital Marketing SEO Automation Companies In … – Inventiva

SEO automation refers to the use of software and tools to automate search engines optimization tasks, such as keyword research, site audits, backlink analysis, content optimization, and rank tracking.

These tools allow businesses to save time and improve the accuracy of their SEO efforts by reducing manual work and human error.

SEO automation tools typically use data analytics, machine learning, and artificial intelligence to analyze large amounts of data and provide insights and recommendations for optimizing website performance in search engines.

By automating SEO tasks, businesses can more efficiently and effectively improve their websites search engine ranking and increase organic traffic to their website. This can result in higher visibility, more leads, and ultimately more revenue for the business.

However, it is important to note that while SEO automation can be helpful, it should not be relied on entirely. It is still important for businesses to have a solid understanding of SEO principles and to regularly monitor and adjust their strategies to ensure they are staying up to date with the latest trends and best practices.

Additionally, it is important to use SEO automation tools ethically and responsibly, as some tactics that may improve search engine ranking in the short term may lead to penalties or other negative consequences in the long term.

Overall, SEO automation can be a useful tool for businesses looking to improve their websites search engine ranking and increase organic traffic, but it should be used in conjunction with a solid understanding of SEO principles and a commitment to ethical and responsible practices.

SEMrush:

SEMrush is a popular SaaS-based online visibility management and content marketing platform that offers a range of SEO automation tools. The platform provides solutions for keyword research, site audit, backlink analysis, and rank tracking. SEMrush is known for its powerful data analytics capabilities and its ability to automate SEO tasks.

The platforms easy-to-use interface and its ability to generate comprehensive reports make it a favorite among digital marketers. SEMrushs features include an on-page SEO checker, content analyzer, and organic traffic insights. The platform also offers integrations with other popular digital marketing tools such as Google Analytics and Google Search Console.

Ahrefs:

Ahrefs is a SaaS-based SEO toolset that provides a range of automation features for search engine optimization. The platform offers solutions for keyword research, competitor analysis, site audit, and backlink analysis. Ahrefs is known for its large database of web pages and its ability to automate SEO tasks.

Its Site Explorer feature provides in-depth data on a websites organic search traffic, backlinks, and keyword rankings. Ahrefs also offers features such as content explorer, rank tracker, and keyword explorer. It is a comprehensive toolset and powerful data analytics capabilities make it a popular choice among digital marketers.

Moz:

Moz is a popular SaaS-based search engine optimization platform that provides a range of SEO automation tools. The platform offers solutions for keyword research, site audit, on-page optimization, and rank tracking.

Moz is known for its powerful data analytics capabilities and its ability to automate SEO tasks. Its features include Moz Pro Campaigns, which provide in-depth analysis of a websites search engine optimization performance, and Moz Local, which helps businesses optimize their local search presence. Moz also offers a browser extension, MozBar, which provides instant access to important SEO metrics.

Moz is a SaaS-based search engine optimization platform that provides a range of SEO automation tools. The platform offers solutions for keyword research, site audit, on-page optimization, and rank tracking. Moz is known for its powerful data analytics capabilities and ability to automate SEO tasks.

One of Mozs key features is its Keyword Explorer, which helps businesses identify high-potential keywords and track keyword performance over time. The platform also offers a Site Crawl tool that identifies technical SEO issues on a website and provides suggestions for improvement.

Mozs Page Optimization tool offers recommendations for optimizing individual web pages based on factors such as keyword usage, title tags, and meta descriptions. The platforms Rank Tracker tool provides daily updates on keyword rankings and allows businesses to track their progress over time.

Another notable feature of Moz is its Link Explorer, which provides insights into a websites backlink profile and helps businesses identify opportunities for link building. Moz also offers a Local SEO tool that helps businesses improve their visibility in local search results.

Overall, Moz is known for its powerful data analytics capabilities and ability to automate many SEO tasks. The platforms user-friendly interface and comprehensive feature set make it a popular choice for businesses looking to improve their search engine visibility.

Screaming Frog:

Screaming Frog is a desktop-based web crawler that provides solutions for on-page optimization, site audit, and technical SEO analysis. The platform is known for its ability to automate SEO tasks and its ease of use.

Its features include crawl analysis, which provides a detailed report on a websites technical SEO performance, and search console integration, which allows users to import search console data directly into Screaming Frog.

Yoast SEO:

Yoast SEO is a popular WordPress plugin that provides solutions for on-page optimization, content analysis, and technical SEO analysis. The platform is known for its user-friendly interface and its ability to automate SEO tasks.

Its features include content analysis, which provides a detailed report on the quality of a websites content, and page analysis, which provides recommendations for optimizing individual pages.

BrightEdge:

BrightEdge is a popular SaaS-based SEO and content marketing platform that offers a range of automation features for search engine optimization. The platform provides solutions for keyword research, site audit, content optimization, and rank tracking.

BrightEdge is known for its data analytics capabilities and its ability to automate SEO tasks. Its features include content IQ, which provides real-time insights into the performance of a websites content, and local search, which helps businesses optimize their local search presence.

BrightEdge is a SaaS-based SEO and content marketing platform that offers a range of automation features for search engine optimization. The platform provides solutions for keyword research, site audit, content optimization, and rank tracking. BrightEdge is known for its data analytics capabilities and ability to automate SEO tasks.

BrightEdge offers a variety of features to help businesses improve their SEO efforts, including advanced keyword research and analysis tools, content optimization recommendations, site audit and error detection, and rank tracking. The platform provides businesses with real-time insights into their SEO performance, allowing them to make data-driven decisions and adjust their strategy accordingly.

One of the key features of BrightEdge is its ContentIQ tool, which provides insights into how content is performing on a website and recommendations for improving its performance. The platform also offers a range of reporting and analytics features, allowing businesses to track their progress and measure the effectiveness of their SEO efforts over time.

BrightEdge has been used by a number of high-profile companies, including Microsoft, Hilton, and Adobe. The platform is known for its scalability and ability to handle large volumes of data, making it an ideal solution for enterprise-level businesses.

Overall, BrightEdge is a comprehensive SEO automation platform that provides businesses with the tools they need to improve their search engine rankings and drive traffic to their website. Its powerful data analytics capabilities and automation features make it an ideal solution for businesses looking to improve their SEO efforts and stay ahead of the competition.

Majestic:

Majestic is a SaaS-based SEO toolset that offers a range of automation features for backlink analysis. The platform provides solutions for backlink research, competitor analysis, and link building. Majestic is known for its large database of web pages and its ability to automate SEO tasks.

Its features include site explorer, which provides a detailed report on a websites backlinks, and link context, which provides information on the quality and relevance of a websites backlinks.

Majestic is a SaaS-based SEO toolset that offers a range of automation features for backlink analysis. The platform provides solutions for backlink research, competitor analysis, and link building. Majestic is known for its large database of web pages and ability to automate SEO tasks.

Majestics primary focus is on backlink analysis, providing users with information on the quality and quantity of backlinks to a website, as well as the backlinks of competitors. The platform offers several tools to help users analyze and track their backlinks, including a backlink checker, link intelligence API, and backlink history tool.

In addition to backlink analysis, Majestic also provides solutions for competitor analysis, keyword research, and link building. The platforms competitor analysis tool allows users to analyze the backlink profiles of their competitors and identify potential link building opportunities. Majestics keyword research tool provides users with keyword suggestions and helps them identify profitable keywords for their website.

Majestics user-friendly interface and powerful data analytics capabilities make it a popular choice among SEO professionals. The platform offers a range of automation features, including scheduled reports, email alerts, and custom workflows, to help users save time and automate their SEO tasks.

Majestic offers three pricing plans: Lite, Pro, and API. The Lite plan is the most affordable option and includes basic backlink analysis features, while the Pro plan offers more advanced features such as competitor analysis and keyword research. The API plan is designed for businesses with large-scale SEO needs and provides access to Majestics API for bulk backlink analysis.

DeepCrawl

is a cloud-based web crawler that provides solutions for site audit and technical SEO analysis. The platform allows businesses to identify and fix technical SEO issues that may be impacting their websites search engine rankings. With DeepCrawl, businesses can crawl their website and receive detailed reports on issues such as broken links, duplicate content, and page load speed.

The platforms automated features enable businesses to schedule regular crawls and receive alerts when new issues are detected. DeepCrawl also provides a range of integrations with popular SEO tools such as Google Analytics and Google Search Console, allowing businesses to combine their data and gain a more comprehensive view of their websites performance.

In addition to its technical SEO features, DeepCrawl also provides solutions for content optimization, allowing businesses to analyze their websites content and ensure it is optimized for search engines. The platform provides recommendations for improving content quality, keyword usage, and metadata, helping businesses to improve their websites search engine rankings and drive more traffic to their site.

Overall, DeepCrawl is a powerful tool for businesses looking to automate their SEO tasks and improve their websites search engine rankings. The platforms user-friendly interface and detailed reports make it easy for businesses to identify and fix technical SEO issues, while its content optimization features help to ensure that website content is fully optimized for search engines.

SISTRIX:

SISTRIX is a cloud-based SEO platform that provides solutions for search engine optimization. The platform offers automation features for keyword research, site audit, backlink analysis, and rank tracking. SISTRIX is known for its data analytics capabilities and ability to automate SEO tasks. The platform also offers a range of additional features such as competitor analysis and content optimization recommendations.

One of the key features of the SISTRIX Toolbox is its keyword research tool, which allows users to discover new keywords, analyze keyword rankings, and monitor changes in keyword rankings over time.

The site audit feature allows users to identify technical SEO issues and provides recommendations for improving website performance. The backlink analysis tool enables users to monitor backlinks to their sites and analyze the quality and authority of those links.

SISTRIX also offers a range of other tools that can be used for digital marketing, including a social media monitoring tool that allows users to track mentions of their brand on social media platforms, and an ad campaign analysis tool that provides insights into the performance of online advertising campaigns.

The SISTRIX Toolbox is known for its user-friendly interface and its ability to provide actionable insights for improving website performance and search engine rankings. The company also offers a range of training resources and support services to help users get the most out of their SEO and digital marketing efforts.

Overall, SISTRIX is a powerful and comprehensive SEO and digital marketing toolset that is popular among businesses and digital marketers in Europe and beyond. Its advanced features and user-friendly interface make it a valuable asset for optimizing websites and improving online visibility.

Serpstat

is a SaaS-based SEO toolset that offers a range of automation features for search engine optimization. The platform provides solutions for keyword research, site audit, backlink analysis, and rank tracking. It was founded in 2013 and is headquartered in Odesa, Ukraine.

Serpstats keyword research tool allows users to find the best keywords for their websites and track their rankings on search engines. The site audit tool helps users to identify technical SEO issues on their website, such as broken links or duplicate content. The backlink analysis tool allows users to analyze their backlink profile and those of their competitors, and to identify opportunities for link building.

In addition to these core features, Serpstat offers a range of other tools to help businesses with their SEO efforts. These include a content marketing tool that helps users to identify content topics that will be of interest to their target audience, as well as a PPC research tool that allows businesses to analyze their competitors ad campaigns and identify opportunities to improve their own campaigns.

One of the unique features of Serpstat is its ability to generate SEO reports that can be customized to meet the specific needs of the user. These reports can be automatically generated on a regular basis, making it easy for businesses to stay on top of their SEO efforts.

Serpstat is known for its affordability and ease of use, making it a popular choice for small and medium-sized businesses. The platform also offers a range of educational resources, including webinars and blog posts, to help businesses improve their SEO skills and get the most out of the platform.

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Top 10 Best Digital Marketing SEO Automation Companies In ... - Inventiva