10x Link Building vs Leading Digital PR Agency: Who Actually Optimizes for AI Search?
Updated: Sep 10
The Digital PR industry is changing.
For years, businesses evaluated agencies based on media placements, backlinks, keyword rankings, referral traffic, and brand exposure. Those metrics still matter. But search is no longer limited to a traditional list of blue links.
People now use AI-powered search experiences to research companies, compare products, investigate services, and find answers. Google AI Overviews and AI Mode can surface supporting links from across the web, while platforms such as ChatGPT, Gemini, Claude, Perplexity, and Microsoft Copilot can provide answers based on information available to them.
That creates a more useful question for businesses evaluating a Digital PR or link-building agency:
Is the agency simply generating coverage, or is it building the authority, relevance, and discoverability that can support visibility across modern search experiences?
This comparison looks at how 10x Link Building approaches Digital PR and AI search visibility compared with a more traditional Digital PR model.
The goal is not to claim that one type of agency is universally better. Traditional Digital PR can be highly effective for media exposure and brand awareness. The important question is whether an agency's strategy matches the visibility goals your business actually has.
Why AI Search Is Changing Digital PR
Traditional Digital PR campaigns often focus on outcomes such as:
Media coverage
Brand mentions
Editorial backlinks
Journalist relationships
Referral traffic
Brand awareness
These remain valuable.
However, modern search experiences can use information from multiple sources when constructing an answer. Google's current guidance explains that AI Overviews and AI Mode can surface relevant supporting links and may use multiple related searches to develop responses. Google also states that the foundational SEO practices used for traditional Search remain applicable to these AI features.
That means businesses should not think about AI search as a completely separate replacement for SEO.
Instead, it is better understood as another discovery environment where the quality, relevance, accessibility, and credibility of information across the web can matter.
This changes how businesses should evaluate Digital PR campaigns.
The question is no longer simply:
How many placements did we earn?
It can also be:
What did those placements help establish about our brand, expertise, products, people, and areas of relevance?
Quick Comparison: 10x Link Building vs a Traditional Digital PR Model
Evaluation area | 10x Link Building approach | Traditional Digital PR model |
Digital PR campaigns | Yes | Yes |
Editorial link acquisition | Core focus | Varies |
Media outreach | Core activity | Core activity |
Authority building | Core objective | Common objective |
Entity-focused strategy | Integrated where relevant | Varies |
AI search visibility | Considered within broader strategy | Varies |
Original research | Supported | Common |
Brand mentions | Important | Important |
AI visibility measurement | Can be incorporated | Varies |
Technical SEO considerations | Considered where relevant | Varies |
Traditional media coverage | Supported | Strong focus |
The important distinction is not whether one model does Digital PR and the other does not.
It is how broadly the campaign is planned and measured.
A business looking primarily for media exposure may be well served by a traditional PR campaign. A business that wants Digital PR to support organic search, authority development, brand recognition, and broader AI-search visibility may want a more integrated approach.
What Makes AI Search Optimization Different?
The phrase "AI search optimization" can be misleading if it suggests there is a secret technique that guarantees a brand will appear in ChatGPT, Google AI Overviews, or another AI platform.
There is not.
Google explicitly states that there are no additional technical requirements or special optimizations required for inclusion in AI Overviews or AI Mode. Google recommends the same fundamental SEO practices, including crawlability, internal linking, helpful content, page experience, textual content, and appropriate structured data.
So effective AI-search preparation is not about adding an "AI schema" or trying to manipulate an AI system.
It is about making a business easier to understand, discover, evaluate, and reference across the web.
That can involve several connected areas:
High-quality, people-first content
Strong technical SEO
Clear brand and organizational information
Relevant editorial coverage
Expert-led content
Original research
Consistent entity information
Relevant third-party references
Internal linking
Structured data where appropriate
Measurement of search and brand visibility
Digital PR can contribute to several of these areas, particularly when campaigns are built around genuinely useful information rather than coverage volume alone.
The 10x Link Building Approach
10x Link Building approaches authority building as a broader visibility activity rather than treating every backlink as an isolated metric.
Campaigns can be designed to support:
Editorial backlink acquisition
Brand authority
Relevant third-party references
Original research distribution
Expert positioning
Entity clarity
Organic search visibility
Broader brand discoverability
The underlying principle is straightforward:
A good placement should make sense for the audience, the publication, the topic, and the brand.
That is more useful than pursuing links simply because a website has a particular authority metric.
The quality and relevance of the referring page matter. So does whether the placement provides genuine editorial value.
This is also why link quality should be evaluated before placement rather than only after a campaign has finished.
How a Traditional Digital PR Model Typically Operates
Traditional Digital PR remains valuable.
A typical campaign may involve:
Developing a newsworthy idea
Creating campaign assets or research
Identifying relevant journalists and publications
Conducting outreach
Earning media coverage
Tracking placements and campaign results
This model can generate meaningful exposure.
It can also produce editorial links, brand mentions, referral traffic, and opportunities to demonstrate expertise.
The limitation is not the Digital PR model itself.
The limitation appears when a campaign measures only immediate media outcomes and does not consider what the resulting coverage contributes to the brand's broader search presence.
A stronger campaign can ask additional questions:
Are the publications genuinely relevant?
Does the coverage accurately describe the company?
Does it reinforce an important area of expertise?
Does it provide a useful reference to the brand's website?
Does the campaign create original information worth citing?
Are there opportunities to build a stronger association between the brand and its core topics?
Entity SEO: Making the Brand Easier to Understand
Search engines do not rely exclusively on individual keywords.
They also need to understand people, organizations, products, services, places, and the relationships between them.
For example, a business may need search systems to understand:
Who the organization is
What products or services it provides
Which topics it is associated with
Who its experts are
Which publications reference it
How its website relates to the organization
This is where entity-focused SEO can complement Digital PR.
A Digital PR campaign can generate third-party references that provide additional context about a company or its experts.
However, those references should be accurate and relevant. Simply generating large numbers of mentions does not guarantee that a search engine or AI system will interpret a brand in a particular way.
The objective is to build a consistent, credible web presence.
Why Brand Mentions Matter
Backlinks are not the only reason businesses invest in Digital PR.
Brand mentions can also contribute to awareness and discovery, particularly when they occur in relevant publications and provide useful context.
Examples include:
Industry news
Expert interviews
Research reports
Specialist publications
Podcasts
Industry roundups
Conference coverage
Original data studies
The important distinction is between useful third-party references and manufactured mentions.
A campaign should not assume that simply increasing the number of mentions will cause an AI platform to recommend the company.
Instead, the objective should be to earn credible coverage that helps establish the brand's presence within its relevant industry.
That creates assets that can support both people and search systems.
Digital PR Through an AI Search Lens
A useful way to evaluate a Digital PR campaign is to look beyond placement volume.
Ask:
Did the campaign earn relevant coverage?
A placement on a relevant publication can be more strategically useful than a placement that exists only to increase a link count.
Did the campaign demonstrate expertise?
Expert commentary, original research, data, and useful analysis can give journalists and readers a reason to reference the brand.
Did the campaign create something worth citing?
Original research and genuinely useful resources can become references for other publishers.
Did the campaign strengthen the brand's topical association?
Consistent, accurate coverage around relevant subjects can help establish what a company is known for.
Did the campaign produce measurable business value?
Traffic, qualified leads, conversions, branded searches, referral traffic, rankings, and earned coverage can all be useful depending on the campaign objective.
AI visibility can be another measurement layer, but it should not replace established SEO and business metrics.
E-E-A-T: Useful Framework, Not a Magic Ranking Factor
E-E-A-T stands for:
Experience
Expertise
Authoritativeness
Trustworthiness
It is useful when evaluating the quality and credibility of content.
However, it is important not to describe E-E-A-T as a standalone Google ranking factor.
Google's own documentation explicitly distinguishes E-E-A-T from a single ranking factor.
For Digital PR, the practical value is in building evidence that supports expertise and trust.
That can include:
Expert contributions
First-hand experience
Accurate author information
Original research
Credible third-party references
Transparent company information
High-quality editorial coverage
10x can incorporate these principles into authority-building campaigns without claiming that a particular PR placement automatically increases rankings or AI citations.
Original Research and AI Search Visibility
Original research remains one of the strongest Digital PR formats because it gives publishers something new to discuss.
A well-designed research campaign can produce:
Original statistics
Industry insights
Data visualizations
Expert analysis
Newsworthy findings
Editorial references
Links from relevant publications
The value is not limited to the initial coverage.
If other publications reference the research, the original source can become part of a wider information ecosystem around the topic.
That can support brand visibility and authority.
However, businesses should avoid claiming that AI systems automatically "value" or cite original research.
AI platforms use different systems, models, retrieval methods, and sources. Their outputs can change over time.
The more defensible objective is to create authoritative information that other people and publications have a reason to reference.
Knowledge Graphs and Entity Understanding
Knowledge graphs are real systems used to represent relationships between entities and information.
Google's Knowledge Graph, for example, represents entities such as people, places, organizations, and other things.
But "knowledge graph optimization" should not be presented as a standardized tactic that guarantees inclusion in an AI answer.
A more accurate approach is to think about entity clarity.
Businesses can make their identity easier to understand by maintaining:
Consistent organization information
Clear About and Contact pages
Accurate business details
Consistent names and descriptions
Author and expert information
Appropriate structured data
Clear relationships between products, services, people, and organizations
Relevant third-party references
Structured data can support machine-readable understanding, but it should accurately represent the visible content. Google specifically states that there is no special schema required for AI Overviews or AI Mode.
AI Citation Monitoring
AI visibility is worth monitoring, but measurement needs to be defined carefully.
Possible measurements include:
Whether a brand appears in answers to relevant prompts
Whether the brand's website is cited
Which competitors are mentioned
Which sources are cited
How often the brand appears across a defined prompt set
Whether visibility changes over time
Whether AI visibility correlates with branded or referral activity
A good measurement process should document:
The platforms being monitored
The prompts being tested
The date and frequency of testing
What qualifies as a citation
What qualifies as a brand mention
Which competitors are included
How changes are recorded
This matters because AI-generated answers are not static search rankings.
The same prompt can produce different results at different times or across different platforms.
For that reason, AI visibility should be treated as an evolving measurement area rather than a guaranteed outcome.
Which Approach Is Better for SEO?
There is no universal winner.
If the primary objective is media exposure, brand awareness, journalist relationships, or campaign publicity, a traditional Digital PR agency may be an excellent fit.
If the objective includes:
Editorial link acquisition
Organic search growth
Authority building
Entity clarity
Original research
Brand visibility
AI-search readiness
Long-term discoverability
then it makes sense to evaluate whether the agency's Digital PR strategy addresses those areas explicitly.
The strongest approach may not be "Digital PR versus AI search optimization."
It may be Digital PR supported by a broader SEO and authority strategy.
That distinction is important.
Google's current guidance does not recommend abandoning traditional SEO for a separate AI-search system. It recommends applying foundational SEO practices to AI features as well.
Questions to Ask Before Hiring an AI Search Optimization Agency
Before hiring an agency, ask these questions.
1. How do you define AI search optimization?
Look for a specific explanation rather than vague promises about "ranking in ChatGPT."
2. What role does Digital PR play in your strategy?
The agency should be able to explain how media coverage, editorial links, original research, and brand mentions fit into the wider strategy.
3. How do you measure AI visibility?
Ask what platforms, prompts, metrics, and reporting methodology are used.
4. Do you provide technical SEO recommendations?
AI-search visibility does not eliminate the need for crawlability, indexing, internal links, useful content, and other SEO fundamentals.
5. How do you approach entity SEO?
The agency should be able to explain how it helps search engines understand the organization, people, products, services, and topics associated with a brand.
6. What evidence supports your strategy?
Ask whether claims are based on documented search guidance, controlled testing, client data that can be shared, or simply agency opinion.
7. What do you not guarantee?
Be cautious of agencies promising guaranteed ChatGPT citations, guaranteed AI Overview inclusion, guaranteed rankings, or guaranteed recommendations.
No legitimate strategy can guarantee how an independent search or AI system will respond to every query.
What AI Search Optimization Does Not Mean
AI search optimization does not mean:
Adding a special "AI schema"
Guaranteeing ChatGPT recommendations
Guaranteeing Google AI Overview inclusion
Manipulating AI-generated answers
Replacing traditional SEO
Buying mentions to manufacture authority
Publishing large volumes of low-quality AI content
Treating every brand mention as a ranking signal
Google's current documentation explicitly states that there are no special technical requirements or special schema needed for AI Overviews or AI Mode.
The more sustainable approach is to build a website and brand that deserve to be found, understood, referenced, and trusted.
10x Link Building vs Traditional Digital PR: Final Comparison
Category | 10x Link Building approach | Traditional Digital PR approach |
Editorial links | Core focus | Often included |
Media coverage | Supported | Core focus |
Original research | Supported | Common |
Brand mentions | Strategic consideration | Common |
Entity strategy | Considered | Varies |
Technical SEO | Considered where relevant | Varies |
AI visibility | Can be incorporated | Varies |
AI citation monitoring | Can be incorporated | Varies |
Authority building | Core objective | Common objective |
Business outcomes | Considered alongside SEO metrics | Often campaign-dependent |
The important point is that the right agency should be judged by what it actually does, not by whether it uses labels such as AI SEO, AI search optimization, or Digital PR.
Final Verdict
The future of Digital PR is not about abandoning backlinks or traditional media coverage.
It is about understanding how those activities fit into a broader search and brand-visibility strategy.
A strong Digital PR campaign can earn relevant editorial links, generate credible brand mentions, distribute original research, support expertise, and increase exposure to audiences that matter.
An AI-search-aware strategy adds another layer by asking whether the brand is clear, credible, relevant, and discoverable across the wider information ecosystem.
That does not guarantee inclusion in ChatGPT, Google AI Overviews, Gemini, Perplexity, or any other AI-powered experience.
It does create a more complete framework for thinking about modern visibility.
For businesses comparing an AI search optimization agency with a Digital PR agency, the most useful question is therefore not:
"Who promises the most AI visibility?"
It is:
"Who can demonstrate a credible strategy for building the authority, relevance, technical foundation, and third-party evidence that support long-term discoverability?"
That is where the difference between an agency label and an actual strategy becomes important.
If your goal is to combine Digital PR, editorial link acquisition, authority building, and broader search visibility, explore the services available from 10x Link Building.
Frequently Asked Questions
What is an AI search optimization agency?
An AI search optimization agency helps businesses improve their visibility and discoverability across AI-powered search experiences while applying established SEO, content, technical, brand, and authority-building principles.
The exact services vary by agency. Businesses should ask how the agency defines AI search optimization and how it measures results.
How is AI search optimization different from Digital PR?
Digital PR generally focuses on earning media coverage, brand exposure, editorial links, and third-party attention.
AI-search-aware SEO can incorporate those activities while also considering technical SEO, entity clarity, content quality, structured data, and measurement of visibility in AI-powered search experiences.
The two disciplines can overlap rather than operate as separate strategies.
Does Digital PR improve AI search visibility?
It can contribute to broader visibility, particularly when campaigns earn relevant editorial coverage and create useful information that other sources reference.
However, Digital PR does not guarantee AI citations or recommendations.
Different AI systems use different models and retrieval methods, so outcomes cannot be reduced to a single PR metric.
Does link building improve AI search visibility?
High-quality editorial links can support a site's broader search visibility and authority, but there is no universal formula showing that acquiring a certain number of links will produce AI citations.
Links should therefore be evaluated for relevance, editorial quality, context, and business value rather than treated as guaranteed AI-ranking inputs.
What is entity SEO?
Entity SEO is the practice of helping search engines understand people, organizations, products, services, and the relationships between them.
For a company, this can involve consistent organization information, clear website content, structured data where appropriate, expert information, and credible third-party references.
Does Google require special SEO for AI Overviews?
No. Google's current documentation says the same foundational SEO practices apply to AI Overviews and AI Mode and that there are no additional technical requirements or special optimizations required for inclusion.
How should businesses measure AI search visibility?
Businesses can create a consistent set of relevant prompts and track whether their brand, website, products, experts, or competitors appear in AI-generated answers and citations.
The methodology should remain consistent so changes can be compared over time.
AI visibility should complement, rather than replace, metrics such as organic traffic, rankings, conversions, branded searches, referral traffic, and earned media.
Is AI search optimization only useful for large companies?
No.
Businesses of different sizes can benefit from clear brand information, useful content, technical SEO, relevant authority signals, and credible third-party references.
The appropriate strategy depends on the company's market, competition, resources, and business objectives.
What should I look for when comparing AI search optimization agencies?
Look for a clearly defined methodology, transparent measurement, sound technical SEO practices, strong content standards, relevant Digital PR capabilities, realistic claims, and evidence for important recommendations.
Be cautious of agencies promising guaranteed AI citations, guaranteed recommendations, or guaranteed inclusion in a particular AI platform.
Where can I learn more about 10x Link Building?
Visit 10x Link Building to learn more about its approach to link building, Digital PR, authority building, and search visibility.
