Chapter 1: SEO Model Transformation: From Single Backlink to Unified Entity
1.1. Context 2025: The Rise of Trust and Authority
The SEO context in 2025 marks a radical shift from accumulating the number of backlinks to building brand and Entity authority signals. Google's ranking systems, especially in YMYL (Your Money or Your Life) topics, increasingly favor content supported by strong E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) factors. Although E-E-A-T is not a single ranking factor, search algorithms combine many factors to identify and prioritize content that demonstrates high authority, especially in areas that have a major impact on users' health, finances, or safety.
The emergence of new generation AI search engines such as Google SGE (Search Generative Experience), Perplexity or Bing Copilot has deepened this trend. These platforms not only look for high-ranking websites, but also prioritize authoritative information sources for inclusion in the aggregate summary (AI Overview or Grounding). For content to be selected for these summaries, it needs to be clearly structured, highly accurate, and most importantly, must come from a recognized entity. Traditional link signals are only part of this overall picture; The core foundation is a strong Entity reinforcement.
1.2. Core Concept: Entity and Algorithmic Consensus
Entity is defined as unique concepts, things, or organizations, which can be a brand (for example, Tan Phat Digital), a product (Fujiiryoki massage chair), or a place. Google doesn't just rely on keywords; Advanced AI systems such as RankBrain and Neural Matching are used to understand conceptual representations in queries and web pages, as well as map relationships between Entities. Entity-based SEO strategies focus on optimizing content around Entities instead of just keywords, creating more contextual and meaningful content, helping Google build the Knowledge Graph.
Algorithmic Consensus is the deciding factor in Trust in the modern SEO environment. This concept describes the point at which Google and AI Search engines determine consistency among a series of high-quality sources on a topic or Entity. Algorithms will assign higher Authority to an Entity when it is repeatedly confirmed by multiple trusted sources in the same semantic context (semantic context). If a brand is endorsed by reputable press sites (media context) and industry blogs (professional context), the algorithm will consider this a much stronger Authority signal than simply receiving a large number of links from unrelated sites. This model shows that algorithmic trust does not come from the absolute number of links, but from the consistency of Entity information throughout the digital ecosystem.
1.3. Digital Attack: Shaping a Multi-Algorithmic Power Strategy
In this transforming SEO context, applying Semantic SEO and Algorithmic Consensus methods becomes urgent. Tan Phat Digital is a pioneer in providing in-depth analysis solutions in the Vietnamese market, helping businesses effectively convert from traditional SEO to Entity SEO. This report will present a detailed 6-pillar roadmap proposed by Tan Phat Digital to establish multi-algorithm power, ensuring brands not only rank well on Google but also dominate AI Search response results.
Chapter 2: Pillars 1 & 2: Building Digital Identity and Digital Platform Art
2.1. Entity Stacking: Creating a Unified Brand Mark
In the 2025 strategy, Entity Stacking should be properly understood as the process of "stacking" consistent brand identity signals across authoritative third-party platforms, to strengthen Google's understanding of the Business Entity. This is not a gray-hat tactic but a white-hat strategy to achieve semantic consistency.
2.1.1. Building and Optimizing Wikidata/Wikipedia
Wikidata serves as an important open data hub that Google regularly consults to build the Knowledge Graph. Businesses need to ensure that their Entity (if eligible for notability) has an accurate Wikidata entry, including Official Name, Website, Organization Type, Headquarters, and social network profiles (sameAs properties). A presence on Wikidata, supported by trusted third-party sources such as newspapers or business directories, is core to Google trusting and displaying that Entity accurately on the Knowledge Panel. Maintaining detailed Wikidata entries, including multilingual labels and descriptions, is especially important for Entities with global goals.
2.1.2. Unify NAP and Digital Identity
Core information about the business (NAP: Name, Address, Phone) must be absolutely unified across the entire digital ecosystem. To strengthen Entity Authority in the Vietnamese market, priority should be given to appearing on reputable and highly authoritative sources such as VnExpress, Cafebiz, or Zing News, often through a Digital PR strategy. Presence on local business directories (like Vietnam Yellow Pages) is also necessary to reinforce Local Entity and credibility.
2.1.3. Distinguishing between Legal Entity Stacking and Risky Google Stacks
A clear distinction needs to be made between legal Entity Stacking and the old "Google Stacks" tactic. Google Stacks often involves creating bulk links from Google products (Docs, Sheets, Sites) to leverage Google's internal domain authority. Although some consider this a "gray-hat" technique that takes advantage of Google's conflicts of interest, leading SEO experts warn that the abuse can be seen as gimmicking and lacks long-term sustainability. Google can easily devalue or ignore these links that have no editorial value, leading to an unbalanced link profile and potential penalty. Tan Phat Digital's 2025 strategy focuses on true Entity Authority through externally validated semantic consistency, avoiding risks from passive linking tricks.
2.2. Onpage: The Foundation for Entity Power
A strong Entity cannot be built on a website with a weak technical foundation. A solid on-page is a prerequisite to maximize the value of every backlink obtained.
2.2.1. Optimize Schema Markup
Use Structured Data according to Schema.org standards, especially JSON-LD, to mark the main Entity (Organization, Product, Person). Schema markup not only helps Google understand the administrative details of an organization, but also increases the likelihood of content being cited in the AI Overview. More importantly, it is important to use the sameAs attribute in Schema to connect the official website with externally verified Entity profiles (Wikidata, Social Profiles), creating a clear semantic link for the algorithm.
2.2.2. Setting up Topic Cluster Structure and Internal Link
The content map needs to be clearly organized according to the Topic Cluster model. Content should be logically hierarchical, with main Hub pages (e.g. "Full body massage chair") closely linked to more detailed Sub-topics (e.g. "AI body scan technology"). The tight Internal Link system between these clusters helps Google identify the thematic relationships and semantic depth of the Entity. An organized, in-depth content structure will increase the value of backlinks many times over, because Google not only sees "links," but also sees a highly specialized and logical information architecture.
Chapter 3: Pillar 3: Algorithmic Consensus Analysis and Reconstruction
3.1. Analyzing Consensus: Understanding Algorithmic Beliefs
In the new SEO model, the goal is not to have the most backlinks, but to have a link signal profile similar to the one the algorithm has confirmed to be trustworthy. This process is called Competitor Consensus Analysis. By dissecting the highest ranking pages (Top 20), analysts can understand what kind of Authority the algorithm is accepting. Consensus occurs when the leading pages for a query show significant similarity in backlink patterns, anchor text, and related Entity context. The strategy is to re-model this signal so that the brand "fits into the algorithmic flow" rather than trying to stray outside and be seen as an anomalous signal.
3.2. 3-Step Process of In-depth Consensus Analysis (Tan Phat Digital Method)
Tan Phat Digital applies the following 3-step process to analyze and reproduce the Consensus model:
Step (1) Collect Consensus Sample (Data Collection)
Analysis focusing on the Top 20 SERP for target keywords (for example: "high-end full-body massage chair"). Technical tools such as Ahrefs, Majestic, or internal tools are used to extract backlink data. Majestic is especially useful with metrics like Trust Flow and Citation Flow, which help evaluate the quality and influence of link sources, not just Domain Rating.
Collected data includes:
All Backlinks of each page (classified as Domain Source).
Anchor Text of each backlink.
Relevant Entity information (brand name, product, technology) often appears near the anchor text.
The result is a detailed map of "who is linking to whom" and "what they are talking about when they link."
Step (2) Anchor, Entity and Context Analysis (Contextual Analysis)
This phase aims to identify commonalities between high-ranking pages:
Determine the trusted Anchor Text pattern Reliable: Analyze repeated Anchor Texts. If the algorithm prioritizes Anchor Texts that are Entity (competitor brand name, proprietary technology name) or specialized (e.g. "technology massage therapy"), this shows that Google is prioritizing the E-E-A-T signal over simple keyword density.
statistical reports). This analysis allows a clear understanding of the algorithm's belief structure: what type of content, what anchors, and what Entities the algorithm believes are "legitimate" in that niche.
Step (3) Replicating Consensus
The final step is to build the content and link system according to the same established model Definition:
Upload content with similar topics, using the same Entity group and context
Place backlinks from websites located in the "Consensus Cluster" (Cluster Domain), not necessarily based on simple DR index.
Use Anchor Text that is similar or semantically close to the Anchors that top competitors are using.
This helps The business entity "penetrates the trust network" that the algorithm has recognized, allowing Google to identify the brand as belonging to the same group of trusted entities.
Algorithmic Consensus Analysis Framework
Data Collected: Backlink Profile of Top 20 (Domain type, DR, TF/CF)
Main Support Tools: Ahrefs, Majestic, Serpstat
Analysis Objective: Identify the "cluster of trust" - the type of domain that Google is trusting in this niche.
Renewal Strategic Action: Hunt for links from the types of domains in this cluster (Example: Health Blog, Tech News, Review Platforms).
Data Collection: Common Anchor Text and Semantics
Main Support Tools: Ahrefs, Serpstat, Internal API
- & Related Schema
Main Supporting Tools: Wikidata, Google Knowledge Graph, Schema Markup Tools
Analysis Objective: Identify sub-Entities (products, founders, technology) that often appear with target keywords.
Regenerative Strategic Action: Apply this Entity group to content content, optimize Schema, and create internal semantic links.
Data Collected: Types of linked content (Linkable Assets)
Main Supporting Tools: Analyze the Content Gap of the Top 20
Analytic Objectives: Identify the types of assets cited by the press/industry (Market Research fields, Infographics, Tools).
Regenerative Strategic Action: Build Linkable Assets according to a proven model, as a high-quality PR link bait channel.
Chapter 4: Pillar 4: Building a Continuously Operating Link Building System (The Link Flywheel)
Link Building 2025 must be a continuously operating flywheel, where each link creation effort strengthens and nurtures the Authority of the Brand Entity.
4.1. Digital PR & Linkable Assets: Creating "Citable" Content
Digital PR is a key tactic for building Entity Authority and Brand Awareness. It focuses on creating Linkable Assets – resources with unique, high data value, which newsrooms or bloggers will automatically cite. Examples include proprietary market research reports (e.g. on health technology spending in Vietnam), calculators, or statistical data infographics.
The rise of Digital PR is a direct response to Google's Prioritization of Authority. Links obtained from Digital PR campaigns are not just simple links but Public Record confirming the Entity's Authority. The 2024 Google algorithm leak confirmed Authority as a core ranking factor. Therefore, Digital PR becomes the most effective method to build high-quality backlinks from authoritative sites, strengthening Trust and Visibility.
Detailed Comparison: Digital PR vs. Traditional Link Building
Choosing the right strategy requires an understanding of the fundamental differences between Digital PR and traditional Link Building:
1. Core Goal:
Traditional Link Building: The main goal is to Collect backlinks to improve keyword rankings and increase Domain Authority (DR/DA).
Digital PR: The main goal is to Build Authority, Trust, and brand recognition through media coverage (news/newspapers). will).
2. Tactics Used:
Traditional Link Building: Use scalable tactics such as mass Guest posting, directory listings, and link insertions.
Digital PR: Focus on creative campaigns, issuing press releases, reporting exclusive data, and reaching out to journalists to earn coverage.
3. Quality and Durability of Links:
Traditional Link Building: Link quality is variable, usually mid-tier, and may lose value after algorithm updates.
Digital PR: Link quality is often very high, coming from reputable news/magazine sites (prestigious sites), consolidating absolute Authority and has a longer lasting value (longevity).
4. Secondary Results and Secondary Benefits:
Traditional Link Building: Limited, mainly improving SEO metrics.
Digital PR: Generates powerful secondary results such as Increased brand awareness, Reputation management, and high quality referral traffic.
4.2. Exploiting Lost Links (BLB)
Broken Link Building is an effective white-hat tactic that creates a win-win situation. When a reputable website has a broken link (404 error), you can contact the owner of that page and request to replace it with equivalent, high-quality content from your website.
BLB process:
Search for broken links: Use SEO tools (Ahrefs, Semrush) to scan your competitors' resource pages or backlink profiles to identify the link 404.
Content Regeneration: Create high-quality content that matches the intent of the lost resource (e.g. a detailed tutorial, an old statistic).
Outreach: Contact the site owner, explain that they have a broken link (help them improve UX) and suggest their replacement content you.
BLB is a solid method for gaining high authority links, strengthening trust and rankings.
4.3. Niche Edits (Insert Links Correctly)
Niche Edits, also known as link inserts, are a "sniping" technique to insert links into articles that are ranking high and have traffic, instead of creating new Guest Posts. The rise of AI Search makes contextual links extremely valuable, as they help algorithms understand the relationships between entities and the usefulness of content.
Niche Edits technique: Instead of just inserting a link, the in-depth Niche Edits technique requires adjusting the content around the link to ensure the link appears natural, has context, and provides value to the reader. When implementing Niche Edits, it is necessary to focus on inserting Entity-rich links and adjusting surrounding content so that the brand's Entity is naturally confirmed with expertise. These contextual links excel at conveying Authority to AI search engines, which favor content with strong editorial support and natural link patterns.
Chapter 5: Pillar 5: Optimization for AI Search Engines (RAG & Parasite SEO)
Success in SEO 2025 is measured by brands dominating not only traditional SERPs but also the response results of AI engines.
5.1. RAG (Retrieval-Augmented Generation) and Future SEO
RAG (Retrieval-Augmented Generation) is an AI framework that combines the power of traditional information retrieval systems (like search) with the generative capabilities of large language models (LLM). The goal of SEO for RAG is not to rank, but to optimize so that the Entity's content is Retrieval (Retrieval) and Cited (Grounding) by AI Search, ensuring AI's responses are accurate, up-to-date and have a database.
RAG Optimization Tactics:
Clear and Responsive Structure: Content should be well-structured, use clear subheadings, and focus on providing direct answers to user queries (answer-oriented writing).
Schema Optimization: Using structured data helps AI understand the context of content.
Semantic Depth: Use Entities and related technical terms to enhance discoverability and contextual linkage.
Transparent Authority: Content should include author biography and clear citations, links to reputable sources to prove authenticity.
5.2. Parasite SEO (Parasite SEO) New Generation
Parasite SEO is the strategy of publishing content on powerful third-party domains (Medium, LinkedIn Pulse, Newswire) to take advantage of their existing Authority and traffic.
Grounding Channel Role for RAG: In the context of 2025, Parasite SEO transforms into High Speed Grounding Channel. These platforms have extremely high Domain Authority (DR) and are trusted by AI tools (RAG) and collect data quickly. By posting in-depth research articles or Entity-rich press releases on these domains (e.g., LinkedIn Pulse), businesses are providing RAG with a high-quality, fast, and authoritative source of Grounding. When users ask AI tools about that topic, AI has the ability to quote directly from the parasitic article, helping Entity dominate not only Google but also AI Search's answer results. This tactic helps strengthen Entities and optimize RAG citations by ensuring content on these platforms is consistent with the original Entity.
Chapter 6: Pillar 6: Authority Maintenance and Reputation Management (ORM & Maintenance)
No SEO strategy is permanent. Reputation maintenance and management is vital for Entity Authority to be sustainable.
6.1. Online Reputation Management (ORM) In-Depth
Online Reputation Management (ORM) is the ultimate Link Building. ORM is the process of controlling the reputation of an Entity (individual or business) through ranking pages on brand SERPs. Google uses reputation signals (reviews, real user articles, press interviews) to evaluate E-E-A-T. Positive user experiences and good engagement reinforce algorithmic confidence in Entity's reliability. If an Entity has a strong backlink profile but a weak ORM (many negative reviews), the algorithm may still assign a low Trust score.
Brand SERP Control and Knowledge Panel Tactics:
Page 1 Control: Ensure the highest ranking results for brand queries are positive profiles (official website, verified Social Profiles
Knowledge Panel Validation: Knowledge Panel is formed from external signals such as news, Wikipedia, and Wikidata. A successful ORM strategy is to continuously create positive external signals (through PR and Social Profiles) to shape the Entity's Narrative in the eyes of Google. Increasing links from high authority domains (news sites) also helps influence Knowledge Panel metadata.
6.2. Periodic Link Profile Audits
Regular link profile audits are necessary to protect Entity Authority. This includes using tools to check and disavow links that are bad, irrelevant, or generated from spam tactics that risk damaging Entity Authority. Additionally, analyzing your competitors' link speeds (using Ahrefs, Majestic) helps maintain the "consensus" identified in Chapter 3. This ensures that Entity does not fall behind in the race for Authority signals and can quickly adapt to new link building trends in the niche.
Chapter 7: Conclusion and Roadmap for Action
7.1. Summary: Link Building Is the Unification of the Ecosystem
Link Building Strategy 2025 is no longer a game about the number of backlinks, but the art of creating unity and strengthening the Trust of the Entity. The winner is the one who makes both humans and AI believe that the brand is a true expert in the field. Entity Power is built when every signal from the Entity platform (Wikidata), Onpage (Schema), Backlink (Consensus Analysis), Digital PR, to Reputation Management (ORM) tells a unified story about Expertise and Trust.
A winning strategic value chain requires coordination between: A solid Entity platform (Chapter 2), Algorithmic Consensus Analysis (Chapter 3), Continuous Link Authority creation system (Chapter 4), Optimizing AI Citations (Chapter 5), and Reputation Maintenance (Chapter 6).
7.2. Tan Phat Digital: Strategic Partner on the Entity SEO Path
Transitioning from the traditional backlink game to a Multi-Algorithm Authority strategy requires in-depth semantic analysis and understanding of the workings of AI algorithms. Tan Phat Digital provides exclusive Algorithmic Consensus Analysis services, helping Vietnamese businesses accurately determine the signal model that needs to be reproduced to dominate the Top Google and AI Search positions.
7.3. Frequently Asked Questions (FAQ)
1. What is the clear difference between Entity SEO and Backlink SEO? Entity SEO focuses on building a brand's identity, credibility, and semantic relationship (who you are and what you specialize in), with the goal of being understood and trusted by Google/AI. In contrast, traditional Backlink SEO focuses on acquiring links to improve Domain Authority and rankings. In the 2025 environment, backlinks are a tool to strengthen Entity signals, not the ultimate goal.
2. How to start building an Entity when I'm a small business in Vietnam and don't have a big article yet? The actual roadmap should start with optimizing Onpage Schema (Organization, Product). Then, register and unify NAP on reputable directories in Vietnam (such as Vietnam Yellow Pages) and important Social Profiles. Next, focus on creating Linkable Assets (e.g. a little niche market research) to attract quality links from specialized blogs, instead of waiting for major press publications.
3. Does AI Search (SGE/Perplexity) still care about Backlinks? Yes, but indirectly. AI cares about Authority and Trust. Backlinks from high Authority sources (like Digital PR) are the strongest signal for Authority. Quality links help Entity's content be confirmed as "reliable" for AI to cite (RAG Grounding). Therefore, backlinks are still an indispensable part, but their quality and context are important.
4. Is Parasite SEO Risky? Parasite SEO on authority platforms like LinkedIn or Medium is typically lower risk than traditional Black Hat tactics, as it leverages the Domain Authority of Google-approved platforms. The main risk lies in spamming poor quality content. Strategy 2025 requires content to be of high value, serving the purposes of Entity Grounding and Semantic Consistency.
To transition from a backlink quantity game to a Multi-Algorithmic Power strategy, businesses need a partner with in-depth semantic analysis capabilities. Contact Tan Phat Digital today to receive an exclusive Algorithmic Consensus Analysis Report for your industry and lead the SEO race 2025.
Share
