Prompt Chatgpt EEAT Agar Cepat Keindex oleh Google

PROMPT 1 (DI PROMPT INI TIDAK ADA YANG DIRUBAH)

Pertama, Baca 2 dokumen berikut :
Dokumen 1: 
Google uses automated ranking systems that look at many factors and signals about hundreds of billions of web pages and other content in our Search index to present the most relevant, useful results, all in a fraction of a second.
We regularly improve these systems through rigorous testing and evaluation and provide notice of updates to our ranking systems when those might be useful to content creators and others.
This page is a guide to understanding some of our more notable ranking systems. It covers some systems that are part of our core ranking systems, which are the underlying technologies that produce search results in response to queries. It also covers some systems involved with specific ranking needs.
You can also visit our How Search Works site to understand how our ranking systems, combined with other processes, work together so that Google Search delivers on our mission to organize the world's information and make it universally accessible and useful.
BERT
Bidirectional Encoder Representations from Transformers (BERT) is an AI system Google uses that allows us to understand how combinations of words express different meanings and intent.
Crisis information systems
Google has developed systems to provide helpful and timely information during times of crisis, whether those involve personal crisis situations, natural disasters, or other wide-spread crisis situations:
Personal crisis: Our systems work to understand when people are seeking information about personal crisis situations to display hotlines and content from trusted organizations for certain queries related to suicide, sexual assault, poison ingestion, gender-based violence, or drug addiction. Learn more about how personal crisis information is displayed in Google Search.
SOS Alerts: During times of natural disasters or wide-spread crisis situations, our SOS Alerts system works to show updates from local, national, or international authorities. These updates may include emergency phone numbers and websites, maps, translations of useful phrases, donation opportunities, and more. Learn more about how SOS Alerts work and how they're part of Google's crisis alerts that help in times of floods, wildfires, earthquakes, hurricanes, and other disasters.
Deduplication systems
Searches on Google may find thousands or even millions of matching web pages. Some of these may be very similar to each other. In such cases, our systems show only the most relevant results to avoid unhelpful duplication. Learn more about how deduplication works and how to see omitted results if desired, when deduplication happens.
Deduplication also happens with featured snippets. If a web page listing is elevated to become a featured snippet, we don't repeat the listing later on the first page of results. This declutters the results and helps people locate relevant information more easily.
Exact match domain system
Our ranking systems consider the words in domain names as one of many factors to determine if content is relevant to a search. However, our exact match domain system works to ensure we don't give too much credit for content hosted under domains designed to exactly match particular queries. For example, someone might create a domain name containing the words "best-places-to-eat-lunch" in hopes all those words in the domain name would propel content high in the rankings. Our system adjusts for this.
Freshness systems
We have various "query deserves freshness" systems designed to show fresher content for queries where it would be expected. For example, if someone is searching about a movie that's just been released, they probably want recent reviews rather than older articles from when production began. For another example, ordinarily a search for "earthquake" might bring back material about preparation and resources. However, if an earthquake happened recently, then news articles and fresher content might appear.
Link analysis systems and PageRank
We have various systems that understand how pages link to each other as a way to determine what pages are about and which might be most helpful in response to a query. Among these is PageRank, one of our core ranking systems used when Google first launched. Those curious can learn more by reading the original PageRank research paper and patent. How PageRank works has evolved a lot since then, and it continues to be part of our core ranking systems.
Local news systems
We have systems that work to identify and surface local sources of news whenever relevant, such as through our "Top stories" and "Local news" features.
MUM
Multitask Unified Model (MUM) is an AI system capable of both understanding and generating language. It's not currently used for general ranking in Search but rather for some specific applications such as to improve searches for COVID-19 vaccine information and to improve featured snippet callouts we display.
Neural matching
Neural matching is an AI system that Google uses to understand representations of concepts in queries and pages and match them to one another.
Original content systems
We have systems to help ensure we are showing original content prominently in search results, including original reporting, ahead of those who merely cite it. This includes support of a special canonical markup creators can use to help us better understand what is the primary page if a page has been duplicated in several places.
Removal-based demotion systems
Google has policies that allow the removal of certain types of content. If we process a high volume of such removals involving a particular site, we use that as a signal to improve our results. In particular:
Legal removals: When we receive a high volume of valid copyright removal requests involving a given site, we are able to use that to demote other content from the site in our results. This way, if there is other infringing content, people are less likely to encounter it versus the original content. We apply similar demotion signals to complaints involving defamation, counterfeit goods, and court-ordered removals. In the case of child sexual abuse material (CSAM), we always remove such content when it is identified and we demote all content from sites with a high proportion of CSAM content.
Personal information removals: If we process a high volume of personal information removals involving a site with exploitative removal practices, we demote other content from the site in our results. We also look to see if the same pattern of behavior is happening with other sites and, if so, apply demotions to content on those sites. We may apply similar demotion practices for sites that receive a high volume of removals of content involving doxxing content, explicit personal imagery created or shared without consent, or explicit non-consensual fake content.
Passage ranking system
Passage ranking is an AI system we use to identify individual sections or "passages" of a web page to better understand how relevant a page is to a search.
RankBrain
RankBrain is an AI system that helps us understand how words are related to concepts. It means we can better return relevant content even if it doesn't contain all the exact words used in a search, by understanding the content is related to other words and concepts.
Reliable information systems
Multiple systems work in various ways to show the most reliable information possible, such as to help surface more authoritative pages and demote low-quality content and to elevate quality journalism. In cases where reliable information might be lacking, our systems automatically display content advisories about rapidly-changing topics or when our systems don't have high confidence in the overall quality of the results available for the search. These provide tips on how to search in ways that might lead to more helpful results. Learn more about our approach to delivering high-quality information in Search.
Reviews system
The reviews system aims to better reward high quality reviews, content that provides insightful analysis and original research, and is written by experts or enthusiasts who know the topic well.
Site diversity system
Our site diversity system works so that we generally won't show more than two web page listings from the same site in our top results, so that no single site tends to dominate all the top results. However, we may still show more than two listings in cases where our systems determine it's especially relevant to do so for a particular search. Site diversity generally treats subdomains as part of a root domain. IE: listings from a subdomain (subdomain.example.com) and the root domain (example.com) will all be considered from the same single site. However, sometimes subdomains are treated as separate sites for diversity purposes when deemed relevant to do so.
Spam detection systems
No one wants their email inbox filled with spam, which is why spam filters are so helpful. Search faces a similar challenge, because the internet includes huge amounts of spam that, if not dealt with, would prevent us from showing the most helpful and relevant results. We employ a range of spam detection systems, including SpamBrain, to deal with content and behaviors that violate our spam policies. These systems are constantly updated to keep up with the latest ways that the spam threat evolves.
Retired systems
The following systems are noted for historical purposes. They've either been incorporated into successor systems or made part of our core ranking systems.
Helpful content system
Announced in 2022 as the "Helpful Content Update", this was a system designed to better ensure people see original, helpful content written by people, for people, in search results, rather than content made primarily to gain search engine traffic. In March 2024, it evolved and became part of our core ranking systems, as our systems use a variety of signals and systems to present helpful results to users.
Hummingbird
This was a major improvement to our overall ranking systems made in August 2013. Our ranking systems have continued to evolve since then, just as they had been evolving before.
Panda system
This was a system designed to better ensure high-quality and original content was appearing in our search results. Announced in 2011 and given the nickname of the "Panda," it evolved and became part of our core ranking systems in 2015.
Penguin system
This was a system designed to combat link spam. Announced in 2012 and given the nickname of the "Penguin Update", it was integrated into our core ranking systems in 2016.
Dokumen 2: 
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Google's automated ranking systems are designed to present helpful, reliable information that's primarily created to benefit people, not to gain search engine rankings, in the top Search results. This page is designed to help creators evaluate if they're producing such content.
Self-assess your content 
Evaluating your own content against these questions can help you gauge if the content you're making is helpful and reliable. Beyond asking yourself these questions, consider having others you trust but who are unaffiliated with your site provide an honest assessment.
Also consider an audit of the drops you may have experienced. What pages were most impacted and for what types of searches? Look closely at these to understand how they're assessed against some of the questions outlined here.
Content and quality questions
Does the content provide original information, reporting, research, or analysis?
Does the content provide a substantial, complete, or comprehensive description of the topic?
Does the content provide insightful analysis or interesting information that is beyond the obvious?
If the content draws on other sources, does it avoid simply copying or rewriting those sources, and instead provide substantial additional value and originality?
Does the main heading or page title provide a descriptive, helpful summary of the content?
Does the main heading or page title avoid exaggerating or being shocking in nature?
Is this the sort of page you'd want to bookmark, share with a friend, or recommend?
Would you expect to see this content in or referenced by a printed magazine, encyclopedia, or book?
Does the content provide substantial value when compared to other pages in search results?
Does the content have any spelling or stylistic issues?
Is the content produced well, or does it appear sloppy or hastily produced?
Is the content mass-produced by or outsourced to a large number of creators, or spread across a large network of sites, so that individual pages or sites don't get as much attention or care?
Expertise questions
Does the content present information in a way that makes you want to trust it, such as clear sourcing, evidence of the expertise involved, background about the author or the site that publishes it, such as through links to an author page or a site's About page?
If someone researched the site producing the content, would they come away with an impression that it is well-trusted or widely-recognized as an authority on its topic?
Is this content written or reviewed by an expert or enthusiast who demonstrably knows the topic well?
Does the content have any easily-verified factual errors?
Provide a great page experience 
Google's core ranking systems look to reward content that provides a good page experience. Site owners seeking to be successful with our systems should not focus on only one or two aspects of page experience. Instead, check if you're providing an overall great page experience across many aspects. For more advice, see our page, Understanding page experience in Google Search results.
Focus on people-first content
People-first content means content that's created primarily for people, and not to manipulate search engine rankings. How can you evaluate if you're creating people-first content? Answering yes to the questions below means you're probably on the right track with a people-first approach:
Do you have an existing or intended audience for your business or site that would find the content useful if they came directly to you?
Does your content clearly demonstrate first-hand expertise and a depth of knowledge (for example, expertise that comes from having actually used a product or service, or visiting a place)?
Does your site have a primary purpose or focus?
After reading your content, will someone leave feeling they've learned enough about a topic to help achieve their goal?
Will someone reading your content leave feeling like they've had a satisfying experience?
Avoid creating search engine-first content
We recommend that you focus on creating people-first content to be successful with Google Search, rather than search engine-first content made primarily to gain search engine rankings. Answering yes to some or all of the questions below is a warning sign that you should reevaluate how you're creating content:
Is the content primarily made to attract visits from search engines?
Are you producing lots of content on many different topics in hopes that some of it might perform well in search results?
Are you using extensive automation to produce content on many topics?
Are you mainly summarizing what others have to say without adding much value?
Are you writing about things simply because they seem trending and not because you'd write about them otherwise for your existing audience?
Does your content leave readers feeling like they need to search again to get better information from other sources?
Are you writing to a particular word count because you've heard or read that Google has a preferred word count? (No, we don't.)
Did you decide to enter some niche topic area without any real expertise, but instead mainly because you thought you'd get search traffic?
Does your content promise to answer a question that actually has no answer, such as suggesting there's a release date for a product, movie, or TV show when one isn't confirmed?
Are you changing the date of pages to make them seem fresh when the content has not substantially changed?
Are you adding a lot of new content or removing a lot of older content primarily because you believe it will help your search rankings overall by somehow making your site seem "fresh?" (No, it won't)
What about SEO? Isn't that search engine-first?
There are some things you could do that are specifically meant to help search engines better discover and understand your content. Collectively, this is called "search engine optimization" or SEO, for short. Google's own SEO guide covers best practices to consider. SEO can be a helpful activity when it is applied to people-first content, rather than search engine-first content.
Get to know E-E-A-T and the quality rater guidelines
Google's automated systems are designed to use many different factors to rank great content. After identifying relevant content, our systems aim to prioritize those that seem most helpful. To do this, they identify a mix of factors that can help determine which content demonstrates aspects of experience, expertise, authoritativeness, and trustworthiness, or what we call E-E-A-T.
Of these aspects, trust is most important. The others contribute to trust, but content doesn't necessarily have to demonstrate all of them. For example, some content might be helpful based on the experience it demonstrates, while other content might be helpful because of the expertise it shares.
While E-E-A-T itself isn't a specific ranking factor, using a mix of factors that can identify content with good E-E-A-T is useful. For example, our systems give even more weight to content that aligns with strong E-E-A-T for topics that could significantly impact the health, financial stability, or safety of people, or the welfare or well-being of society. We call these "Your Money or Your Life" topics, or YMYL for short.
Search quality raters are people who give us insights on if our algorithms seem to be providing good results, a way to help confirm our changes are working well. In particular, raters are trained to understand if content has strong E-E-A-T. The criteria they use to do this is outlined in our search quality rater guidelines.
Search raters have no control over how pages rank. Rater data is not used directly in our ranking algorithms. Rather, we use them as a restaurant might get feedback cards from diners. The feedback helps us know if our systems seem to be working.
Reading the guidelines may help you self-assess how your content is doing from an E-E-A-T perspective, improvements to consider, and help align it conceptually with the different signals that our automated systems use to rank content.
Ask "Who, How, and Why" about your content
Consider evaluating your content in terms of "Who, How, and Why" as a way to stay on course with what our systems seek to reward.
Who (created the content)
Something that helps people intuitively understand the E-E-A-T of content is when it's clear who created it. That's the "Who" to consider. When creating content, here are some who-related questions to ask yourself:
Is it self-evident to your visitors who authored your content?
Do pages carry a byline, where one might be expected?
Do bylines lead to further information about the author or authors involved, giving background about them and the areas they write about?
If you're clearly indicating who created the content, you're likely aligned with the concepts of E-E-A-T and on a path to success. We strongly encourage adding accurate authorship information, such as bylines to content where readers might expect it.
How (the content was created)
It's helpful to readers to know how a piece of content was produced: this is the "How" to consider including in your content.
For example, with product reviews, it can build trust with readers when they understand the number of products that were tested, what the test results were, and how the tests were conducted, all accompanied by evidence of the work involved, such as photographs. It's advice we share more about in our Write high quality product reviews help page.
Many types of content may have a "How" component to them. That can include automated, AI-generated, and AI-assisted content. Sharing details about the processes involved can help readers and visitors better understand any unique and useful role automation may have served.
If automation is used to substantially generate content, here are some questions to ask yourself:
Is the use of automation, including AI-generation, self-evident to visitors through disclosures or in other ways?
Are you providing background about how automation or AI-generation was used to create content?
Are you explaining why automation or AI was seen as useful to produce content?
Overall, AI or automation disclosures are useful for content where someone might think "How was this created?" Consider adding these when it would be reasonably expected. For more, see our blog post and FAQ: How Google Search views AI-generated content.
Why (was the content created)
"Why" is perhaps the most important question to answer about your content. Why is it being created in the first place?
The "why" should be that you're creating content primarily to help people, content that is useful to visitors if they come to your site directly. If you're doing this, you're aligning with E-E-A-T generally and what our core ranking systems seek to reward.
If the "why" is that you're primarily making content to attract search engine visits, that's not aligned with what our systems seek to reward. If you use automation, including AI-generation, to produce content for the primary purpose of manipulating search rankings, that's a violation of our spam policies.)

PROMPT 2 (WARNA MERAH YANG DIUBAH)

Lalu baca artikel saya:
    

PROMPT 3 (WARNA MERAH YANG DIUBAH)

Kemudian, sebagai SEO expert, bandingkan artikel saya dengan tiga artikel yang ranking diatas saya sebagai berikut untuk keyword: "masukkan keyword Anda"
      

Artikel 1:
       


Artikel 2:
      


Artikel 3:
      

PROMPT 4.1 (DI PROMPT INI TIDAK ADA YANG DIRUBAH - UNTUK ARTIKEL INDONESIA)

Berdasarkan panduan yang sudah dianalisa secara ketat di 2 dokumen awal, analisa artikel dari competitor saya dan bandingkan mereka dari sisi detail dan kedalaman konten, demonstrasi E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness), dan bagaimana mereka membuat content yang sesuai dengan search intent.

Saya ingin artikel saya dibandingkan dengan artikel competitor hanya dari konteks panduan Helpful Content Guidelines.

Buatkan secara tepat list action to-do yang secara spesifik dapat meningkatkan ranking artikel saya, sesuai dengan artikel yang sudah dianalisis dimana mereka ranking lebih baik dari artikel saya.

PROMPT 4.2 (DI PROMPT INI TIDAK ADA YANG DIRUBAH - UNTUK ARTIKEL BAHASA INGGRIS)

Based on the guidelines that have been closely analyzed in the first 2 documents, analyze these articles from my competitors and compare them in terms of detail and depth of content, demonstration of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness), and how they create content that matches better search intent than my article .

I want my articles to be compared to competitors’ articles only in the context of the Helpful, Reliable, People-First Content Guidelines.

Make an actionable list that I can do to specifically increase the ranking of my article, according to my competitor articles that have been analyzed where they rank better than my article.

PROMPT 5.1 (DI PROMPT INI TIDAK ADA YANG DIRUBAH - BAHASA INDONESIA)

Buatkan contoh untuk poin nomor 2 untuk artikel saya.

PROMPT 5.2 (DI PROMPT INI TIDAK ADA YANG DIRUBAH - BAHASA INGGRIS)

For point number 2, give me example how to fix according to 2 documents that you analyze above.

PROMPT 6.1 (WARNA MERAH YANG DIUBAH - BAHASA INDONESIA)

Lalu buatkan artikelnya 1000 kata dengan judul rekomendasi dari kamu diatas. tidak usah dikasih sub judul kesimpulan, ya
      
      
Jangan lupa, ada tambahan kata kata "konveksi murah surabaya" itu ngelink ke website canvasgarment.com, tetap buatkan dengan sub judul atau sub topik ya

PROMPT 6.2 (WARNA MERAH YANG DIUBAH - BAHASA INGGRIS)

Then make the article 1000 words with the title of the recommendation from you above. no need to give a sub-title conclusion, yes
      

Don't forget, there are additional words "cheap Surabaya convection" that link to the canvasgarment.com website, still make it with a sub title or sub topic yes

Buatkan meta slug, meta deskripsi dan labelnya, untul label buatkan dengan 80 karakter.