I find these tools work best when working on one section at a time. Always check the writing: AI, at times, might give false or inaccurate data in its answers. AI writing can also have all the problems of human-written work—it can be repetitive, too long, too stiff, you name it. So, like human writers, your AI needs proofreaders and editors. Make it a point to always go over what your tool gives you, and revise and augment as needed. best ways to put your AI-generated article apart from the millions of similarly generated content out there is to add your interpretations of data, tips or strategies you have on the topic—basically any valuable insight that only you can make.
Make use of templates and presets:
AI writing tools, like any other generative AI, have limited memory, which means they can only process so much instructions or content that you feed them before they “forget” some of the earlier ones. To bypass this and make the generation process much quicker, explore what settings you can change in your AI tool (most will have options for writing personas and prompts.) Key Takeaway Google has always favored people-first content, and this recent helpful content update is just the latest in many of their attempts to make sure the right content gets to their users. The Helpful Content Update will continue to release tweaks to their signals over the coming months, so it’s prime time for us SEO specialists to take a second look at our content and writing strategies.
Luckily, this update could be a win for you—
just keep these tips in mind, and you’re on the right track to getting the most value from your content efforts. Share on:January 25, 2023, the day that Yandex—Russia’s search engine—was hacked. Its complete source code was leaked online. And, it may not be the first time we’ve seen hacking happen in this industry, but it is one of the most intriguing, groundbreaking events in years. But Yandex isn’t Google, so why should we care? Here’s why we do: these two search engines are very similar in how they process technical elements of a website, and this leak just showed us the 1,922 ranking factors Yandex uses in its algorithm.
Simply put, this information is something that
we can use to our advantage to get more traffic from Google. Yandex vs Google As I said, a lot of these ranking factors are possibly quite similar to the signals that Google uses for search. Yandex’s algorithm shows a RankBrain analog: MatrixNext. It also seems that they are using PageRank (almost the same way as Google does), and a lot of their text algorithms are the same. Interestingly, there are also a lot of ex-Googlers working in Yandex. So, reviewing these 1,922 ranking factors, which come from the “Kernel” archive (and are only just one of the many sets of factors in the Yandex codebase) is a must.
Understanding how they play into search
rankings and traffic will provide some cambodia phone number library very useful insights into how search engines like Google work. No doubt, this new trove of information will greatly influence the SEO industry in the months to come. That said, Yandex isn’t Google. The chances of Google having the exact same list of ranking factors is low — and Google may not even give that signal the same amount of weight that Yandex does. Still, it’s information that potentially will be useful for driving traffic, so make sure to take a look at them here (before it’s scrubbed from the internet forever). An early analysis of ranking factors Many of their ranking factors are as expected.
These include: Many link-related factors
(e.g., age, relevancy, etc.). Content relevance, age, and freshness. Host reliability End-user behavior signals. Clicks. Some sites also get preference (such as Wikipedia). FI_VISITS_FROM_WIKI even shows that sites that are referenced by Wikipedia get plus points. These are all things that we already know. But something interesting: there were several factors that I and other SEOs found unusual, such as PageRank being the 17th highest weighted factor in Yandex, and the 19th highest weighted factor being query-document relevance (in other words, how close they match thematically). There’s also “spam karma” for dubious sites, based on Whois information. So sites used for spam and link farming and such are likely to take a hit.
Other interesting factors are the average
domain ranking across one of the numerous advantages queries, percent of organic traffic, and the number of unique visitors. You can also use this Yandex Search Ranking Factor Explorer, created by Rob Ousbey, to search through the various ranking factors. The possible negative ranking factors: Here’s my thoughts on Yandex’s factors that I found interesting: FI_ADV — this factor means having tons of adverts scattered around your page and buying PPC can negatively affect rankings. FI_DATER_AGE — this one evaluates content age, and whether your article is more than 10 years old, or if there’s no determinable date. Date metadata is important, so if it’s missing from your content, it can lower your rankings.
FI_COMM_LINKS_SEO_HOSTS — this can
be a negative factor if you have hk phone number too much commercial anchor text, particularly if the proportion of such links goes above 50%. Pay attention to anchor text distribution. I’ve written a guide on how to effectively use anchor texts if you need some help on this. FI_RANK_ARTROZ — outdated, poorly written text will bring your rankings down. Go through your site and give your content a refresh. FI_WORD_COUNT also shows that the number of words matter, so avoid having low-content pages. FI_URL_HAS_NO_DIGITS, FI_NUM_SLASHES, FI_FULL_URL_FRACTION — urls shouldn’t have digits, too many slashes (too much hierarchy),your main pages (such as your homepage or landing pages) to any other important content you want to rank.
