How to assess the quality of SEO content? E-E-A-T, Evidence, and Verification Standards
The phrase "content is king" has been overused, but there is no single, universally accepted definition of what constitutes "good" content. This article outlines the criteria we use when evaluating whether a project is "producible" or "unproducible."
Listing vague advantages ("We are the most professional, affordable, and fastest delivery service")
Any statistical figures without a source (any number that cannot be attributed to a source should either be deleted or replaced with "according to our observations")
Making disparaging remarks about competitors without providing evidence (e.g., claiming a platform is "slow" without presenting any actual data).
Number-led filler headlines that force material suitable for 1 paragraph into a list
Content generated solely by AI, without human editing or fact-checking.
Content types we recognize
Detailed process explanation (how we actually do it, including tools and steps)
Honest Limitation Statement (Who We Do Not Serve)
Verifiable data (including source links)
A clear and direct perspective (one that is willing to say "We do not recommend doing this")
Specific suggestions that guide readers on what to do next.
The E-E-A-T Pillars: Breaking down "Expertise" into actionable steps
Google uses the E-E-A-T framework to assess the trustworthiness of content, which breaks down into four key areas: Experience: (Have you actually done this, used this?); Expertise: (Does the content demonstrate in-depth knowledge?); Authoritativeness: (Are you a recognized authority in this field?); Trustworthiness: (Is the information accurate and the source transparent?) While many people simply use these as buzzwords, we advocate for a more concrete approach: Experience: Focus on providing firsthand examples and real-world processes, rather than just theoretical knowledge.; Expertise: Ensure that experts review and annotate the content.; Authoritativeness: Build external recognition through authentic content and public relations, without relying on paid links.; Trustworthiness: Provide clear sourcing, limit speculation, and make contact information and company details readily available. These four elements are important signals for both Google's traditional ranking algorithm and its AI-powered summarization, and should be integrated from the very beginning of content creation.
Will content generated by AI be penalized by Google?
It's not about "using AI" that triggers penalties – Google's official stance is that it targets "mass-produced, user-unhelpful content created solely for ranking manipulation," regardless of the tool used. In other words, using AI to generate drafts or organize content is perfectly fine, as long as there's human oversight. The key is whether the content includes firsthand experience and insights, whether it's fact-checked, and whether it's free of filler. Our approach is to use AI as an assistant, not an author – all external content undergoes human editing and fact-checking, which is why we're transparent about our review standards. The truly dangerous practice is "generating hundreds of articles with a single click and publishing them without anyone reading them," which is precisely the type of thin content that algorithms target.
Methods for assessing the quality of content before publication
We don't rely on a single word count or keyword density to determine publication; instead, we thoroughly evaluate the search intent, originality, verifiability, responsibility, and next steps for each piece. Any piece with significant gaps should be revisited with the original data and interview transcripts, rather than relying on longer introductions to obscure the issues.
Falcon Content Publishing Checklist
Targeting
Eligibility criteria
Without examples
Search intent
The title, introduction, and main paragraph all address the same decision-making question.
Title: Discussing Costs, Content Only Highlights the Benefits
First-hand value
Includes practical processes, case studies, visuals, observations, or clearly defined methods.
Simply reiterate the common definitions found in the search results.
Evidence
The data, platform rules, and results can be traced back to their original source.
Citing statistics without a date or treating goals as achievements
Responsibility
Clearly identify the author, update date, and any limitations or boundaries.
Anonymous team, no specific date, absolute commitment
Action
Readers know how to conduct their own research, compare information, or access relevant services/case studies.
The final call to action is simply a generic sales pitch.
What criteria should I use to determine whether or not to update something after it has been published?
First, save the metrics for page queries, impressions, clicks, and conversions. If you start receiving queries that don't align with your goals, adjust the title and content boundaries. If you're getting impressions but have a low CTR, check if the promises made in the search results are clear. If users are visiting your site but not taking the next step, add case studies, comparisons, or calls to action. Only update the date when official rules, product capabilities, pricing, or practical experience actually change; don't rewrite it monthly for the sake of freshness.
Must content exceed 2000 Chinese characters, and what keyword density percentage should it target?
There's no such thing as a magic number. The ideal length of content should be determined by the user's search intent – some questions can be answered concisely, while forcing a content to be excessively long can dilute the key points. Keyword density is also an outdated concept; deliberately stuffing keywords will only make the content harder to read. We focus on whether the content effectively answers the user's question, rather than simply aiming for a specific word count or keyword density.
Will content generated by AI be penalized by Google?
Google's official stance is to prioritize quality over the method of creation: regardless of whether the content is written by a human or AI, a large volume of content lacking originality will be penalized by the quality system. Our approach is that AI can assist in organizing drafts, but firsthand experience, data, and professional judgment must come from humans. All content must be manually reviewed before publication.
How often should the content be updated?
There is no fixed frequency. Updates are made only when official rules, prices, product specifications, or practical experience change, and the modification date is clearly indicated. While changing the date to appear "fresh" without altering the content may seem advantageous in the short term, it ultimately damages the trust that readers and search engines have in the website.
