In-House vs. Outsourced AIO: How to Choose & Average Costs

AIO: Do It Yourself or Hire a Pro? A Deep Dive into an Enduring Question

As AI becomes a central player in search engines, AIO (AI Optimization) has become an unavoidable and critical task for attracting customers to stores and businesses. Whether or not your company's information is accurately cited and recommended in generative AI search results, such as Google's SGE (Search Generative Experience), will significantly impact your future business.

Faced with this new challenge, many business owners and web managers are at a crossroads: "Should we handle AIO in-house, or should we outsource it to a specialized agency?" Bringing it in-house can help control costs and build internal expertise, while outsourcing offers specialized knowledge and speed. Both have their pros and cons, and a hasty decision can lead to lost opportunities and wasted costs.

In this article, as AIO, MEO, and SEO specialists, we will thoroughly compare "in-house" and "outsourcing" from a neutral perspective, without bias towards any particular stance. We will delve into specific cost estimates, the scope of services, and even the "common failure patterns" that only industry insiders know, providing you with the necessary information to make the best choice for your company.

The 3 Options for AIO: In-House, Outsourcing, and the Hybrid Model

There are broadly three ways to approach AIO. Understanding the characteristics of each is the first step toward making the optimal choice.

Option 1: Fully In-House

This is a style where an in-house team handles all AIO-related tasks—from information gathering and strategy development to implementation and performance measurement—using only the company's own resources.

• Pros:
  • No external contracting fees, allowing costs to be consolidated into personnel expenses.
  • All knowledge and data gained through the initiatives are accumulated as company assets.
  • Quick decision-making and implementation are possible due to a deep understanding of internal circumstances.
• Cons:
  • Requires learning the specialized knowledge of a new field like AIO from scratch.
  • If the person in charge is also handling other duties, resources may be insufficient, leading to half-baked measures.
  • AI technology and search algorithms are updated frequently, making it difficult to keep up with the latest information.
  • There is a risk of lacking an objective perspective, leading to self-serving strategies.

Option 2: Fully Outsourced

This is a style where all AIO tasks, from strategy development to implementation and analysis, are entrusted to an external specialized agency.

• Pros:
  • You can expect strategies based on the latest, advanced knowledge from experts.
  • Allows internal resources to be focused on core business operations.
  • An agency with a proven track record across various industries can provide accurate analysis and proposals based on objective data.
  • They can respond quickly to the latest algorithm changes.
• Cons:
  • Incurs monthly contracting fees, which tend to be higher than in-house costs.
  • If you rely entirely on the agency, it's difficult to accumulate AIO know-how within the company.
  • Choosing the wrong agency risks incurring costs without achieving results.
  • Communication costs and the effort to accurately convey your company's intentions to the agency are required.

Option 3: The Hybrid Model (Partially In-House, Partially Outsourced)

This style aims for the "best of both worlds" by handling tasks that leverage your company's strengths in-house while outsourcing only the parts that require specialized knowledge.

• Pros:
  • Easy to balance cost and expertise.
  • Enables efficient division of roles, such as creating unique content (specialized columns, customer testimonials) in-house while leaving technical settings (structured data implementation) and advanced analysis to professionals.
  • Collaborating with external experts helps in-house staff grow and facilitates the accumulation of knowledge.
• Cons:
  • Defining the scope of work between in-house and outsourced teams can be difficult, potentially blurring lines of responsibility.
  • Requires close communication and information sharing between the in-house team and the external agency.

[In-Depth Comparison] In-House vs. Outsourced AIO: 5 Key Metrics

To specifically compare "in-house" and "outsourcing," we've organized their characteristics across five key metrics. Please review them while considering your company's situation.

Comparison Metric	In-House	Outsourced
① Cost	Mainly personnel expenses, learning costs, and paid tool fees. It may seem cheaper at first glance, but the opportunity cost until results are achieved must also be considered.	Mainly a fixed monthly fee. The market rate ranges widely from 50,000 to over 300,000 yen per month, varying with the scope of work. An initial setup fee may also apply.
② Expertise & Quality	Completely dependent on the knowledge and skills of the person in charge. Often treated as an extension of MEO/SEO, but AIO-specific knowledge (structured data, E-E-A-T, etc.) is essential.	High-quality measures can be expected from a team of specialists. However, skill levels vary among agencies, so checking their track record is crucial.
③ Speed & Resources	If the person in charge has other duties, priorities may shift, causing delays. Even with a dedicated person, research and learning take time, and implementation speed tends to be slower.	A dedicated team works on it, so implementation is fast. However, the company's own review and approval processes can sometimes become a bottleneck.
④ Knowledge Accumulation	All experiences, both successes and failures, become company assets. However, there is a risk of losing this knowledge if the employee in charge is transferred or resigns.	Knowledge can be gained through reports and regular meetings, but practical know-how is difficult to accumulate. Some agencies may offer educational support.
⑤ Adapting to the Latest Information	Independent information gathering is essential. It requires constantly monitoring official announcements from Google, OpenAI, and specialized blogs from overseas, which is a significant burden.	Agencies constantly track the latest industry trends and algorithm changes, so a swift response can be expected.

AIO Cost Estimates and Scope of Work Examples

The cost is likely your biggest concern when considering outsourcing. AIO pricing varies greatly depending on the number of locations, the size of the website, and the depth of the strategy. Here are some general price ranges and the services included:

• Lite Plan (50,000 - 100,000 yen/month)
  • Target: Small businesses, companies taking their first step into AIO.
  • Main Services: Current situation analysis and issue identification, Google Business Profile (GBP) optimization, basic structured data implementation (store info, logo, etc.), monthly reporting.
• Standard Plan (100,000 - 200,000 yen/month)
  • Target: Multi-location businesses, industries with high competition.
  • Main Services: Everything in the Lite Plan, plus planning and support for creating AI-friendly FAQ content, review and testimonial acquisition consulting, more detailed structured data implementation (events, products, services, etc.), competitor analysis.
• Premium Plan (200,000+ yen/month)
  • Target: E-commerce sites, large-scale websites, companies aiming for industry leadership.
  • Main Services: Everything in the Standard Plan, plus website E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) enhancement consulting, site structure improvement proposals, technical SEO/AIO support, regular strategic planning meetings.

In addition to these fees, an initial setup fee of around 50,000 to 100,000 yen may be required. It is crucial to confirm the scope and details of the services in writing before signing a contract.

Decision Criteria for Success: Which Is Right for Your Company?

Based on the comparisons so far, here are the criteria to help you decide which style is better suited for your company. We will also introduce common failure patterns from an expert's perspective. Use this as a reference to avoid making the same mistakes.

Characteristics of Companies Suited for In-House AIO

• You have a dedicated person (or a clear plan and commitment to train one) for web marketing or content creation.
• You prioritize accumulating specialized knowledge in-house from a long-term perspective over short-term results.
• You have a limited budget for outsourcing.
• Your products or services are highly specialized, making it difficult for an outsider to create content.
• Your company culture tolerates trial and error and values learning.

Characteristics of Companies Suited for Outsourcing

• You want to achieve results as quickly as possible and not miss business opportunities.
• You do not have anyone in-house with expertise in AIO or SEO.
• The person in charge is too busy with other core tasks to dedicate time to AIO.
• You want a strategy based on objective data, free from internal assumptions and biases.
• You are in a highly competitive industry or area where advanced expertise is required.

[An Industry Insider's Take] Common AIO Failure Patterns

Having seen many companies, we've identified common pitfalls for both in-house and outsourced approaches.

In-House Failure Patterns

1. Assigning a manager haphazardly and dumping the work on them
   This happens when someone is put in charge simply because they "seem tech-savvy," without being given specific goals, a budget, or authority. The person struggles alone, unsure of where to start, and ultimately, time passes with no progress.
2. Forging ahead with outdated SEO/MEO knowledge
   While AIO shares many similarities with traditional SEO/MEO, understanding AI's logic is essential. Information accuracy, comprehensiveness, and conveying meaning through "structured data" are particularly important. Sticking to old techniques like keyword stuffing will make it harder to be valued by AI.
3. Employee burnout and resignation
   One person handles a vast amount of information gathering, planning, implementation, and analysis, and feels pressure when results don't follow. This vicious cycle leads to burnout and, in the worst cases, resignation. Since the know-how is tied to that individual, the company's AIO assets instantly drop to zero.

Outsourcing Failure Patterns

1. Choosing an agency based on 'low price' alone
   Jumping at a cheap offer like "AIO for 10,000 yen/month" only to find they just mass-produce low-quality, AI-generated blog posts. This not only fails to get a positive evaluation from AI but even risks being flagged as spam. There's always a reason for a low price.
2. Over-delegating to the agency
   This occurs when a company leaves everything to the agency after signing the contract and fails to share the latest company information (new services, campaigns, unique selling points). The agency can only rely on publicly available information, resulting in generic strategies. Consequently, the company's true appeal is never conveyed, and results don't follow.
3. Vague contracts leading to 'he said, she said' problems
   Signing a vague contract for "AIO services, full package" can lead to trouble later. Tragedies happen because the scope of work was not specified, leading to issues like, "Structured data implementation is an extra charge," or "Content creation only includes proposals, not the actual writing."

For example, even a core AIO technology like structured data requires specialized knowledge for proper implementation. Below is an example of basic JSON-LD structured data for store information.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "TrendPackage Cafe Nagoya Sakae",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "3-1-1 Sakae, Naka-ku",
    "addressLocality": "Nagoya-shi",
    "addressRegion": "Aichi-ken",
    "postalCode": "460-0008",
    "addressCountry": "JP"
  },
  "telephone": "+81-52-123-4567",
  "servesCuisine": "Cafe",
  "openingHours": "Mo-Su 10:00-20:00",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "35.1687",
    "longitude": "136.9073"
  }
}
</script>

Whether to handle such technical implementations flawlessly in-house or entrust them to experts for accuracy is another key decision point.

Our View: The "Collaborative Hybrid" Model is the Ideal for AIO

Having neutrally compared in-house and outsourcing, we at TrendPackage / LillyHoldings would like to state our view.

We believe the ideal form of AIO is a "collaborative hybrid model." A fully in-house approach often faces the barriers of specialized knowledge and resource shortages, while full outsourcing tends to have issues with high costs and a lack of internal knowledge accumulation. Both can hinder sustainable growth.

The "collaborative hybrid" model is not just outsourcing for task execution. It's a relationship where we deeply engage with your business and work towards the same goals as a business partner.

• The Client (In-House): Provides the "core" of the content—the passion for products and services, specialized knowledge, and raw customer feedback that only you can articulate.
• Us (Outsourced): We take that "core" and optimize it into a format that AI can best understand and evaluate (structured data, logical text composition, E-E-A-T reinforcement, etc.), and we handle the technical implementation and data analysis.

This model allows us to maximize your company's "strengths" while amplifying them with our "expertise." Furthermore, by sharing our knowledge with you through regular meetings and reports, we expect that know-how will be steadily accumulated within your company.

We see our clients not as passive "customers" of AIO but as "active participants." Our ideal is to provide support with an educational aspect, aiming for a state where our clients can eventually manage AIO independently. We believe this is the most reliable and cost-effective method for navigating the rapidly changing AI era.

Conclusion: How to Determine the Best AIO Approach for Your Company

There is no single correct answer to the "in-house vs. outsourcing" question in AIO. The optimal solution always changes depending on your company's growth stage, available resources (personnel, budget, time), and goals.

We hope the comparison points and decision criteria presented in this article will help you find the "right answer" for your company.

The first step is to accurately assess your current situation.

• What is your monthly budget for AIO?
• Is there a person who can take the lead? How many hours per week can they dedicate?
• What state do you want to be in after six months? A year? (Set specific goals)

Answering these questions will help outline whether your company should lean towards an "in-house," "outsourced," or "hybrid" approach. If you are considering outsourcing or a hybrid model, the key to success will be talking to multiple agencies to find a reliable partner who empathizes with your philosophy and business.

For a more systematic approach to AIO, please see the TrendPackage AIO package for a detailed explanation.