As AI Content Gets Cheaper Thanks to DeepSeek, Should the We0.ai Website Add More Pages or More Real Materials?

DeepSeek 等模型降低了 AI 内容生产成本,也让同质化页面大量增加。本文解释为什么应先沉淀真实资料,再把证据组织成服务 SEO、GEO 和获客的页面。

发布于 2026年8月6日generalGEO 评分: 010 次阅读
The image depicts a scene of automated page production. On the left, there is a continuously moving conveyor belt with many pages lined up with blue borders, each containing icons and text. On the right, an open safe is shown, neatly storing books, folders, charts, and several cartoon character figures. This image is closely related to the context, which discusses how after the cost of AI content creation drops, page quantity is no longer an advantage—real materials and credibility become key. The image vividly conveys this perspective by contrasting automated page production with the storage of authentic materials.

As DeepSeek Makes AI Content Cheaper, Should We0.ai's Website Add More Pages or More Real Assets?

SEO Information

  • SEO Title: As DeepSeek Makes AI Content Cheaper, Should a Website Add More Pages or More Real Assets?
  • SEO Description: As models like DeepSeek continuously drive down the cost of AI content production, should the We0.ai website pile on more pages or accumulate more real assets? This article provides a framework for website growth decisions oriented around SEO, GEO, and customer acquisition.
  • SEO Keywords: DeepSeek AI content, AI website, AI SEO, GEO, website pages, original data, real content, We0.ai, SaaS website, content marketing
  • SEO Slug: deepseek-ai-content-more-pages-or-real-assets
  • Tags: DeepSeek, AI content, SEO, GEO, website growth, content assets, We0.ai
  • SEO Cover Brief: Use a contrast between "stacks of homogeneous pages" and "a small amount of evidence-backed real assets" to convey that as AI content becomes cheaper, website competition shifts from production volume to trustworthy information assets.

Conclusion First: It's Not an Either/Or Choice, but the Priority Is Clear

DeepSeek makes model calls cheaper and makes "writing an article, creating a page, generating a set of FAQs" increasingly easy.

What this truly changes isn't just content cost. It changes the underlying rules of website competition: Pages themselves are depreciating in value, while the real assets behind the pages are appreciating.

So if today's question is what the We0.ai website should do, my answer is:

Add real assets first, then organize those assets into more pages with clear purposes. Don't do it the other way around.

Because pages without supporting assets are just content inventory; pages backed by real assets have the potential to become SEO, GEO, and customer acquisition assets.

What Disappears First When AI Content Gets Cheap?

Previously, a team building website content had to go through topic selection, interviews, writing, design, development, and publishing. The cost was high, so people were cautious about creating pages.

Now, models can quickly generate:

  • Product introduction pages
  • Feature pages
  • Industry solution pages
  • Comparison articles
  • FAQs
  • Blog posts
  • Multilingual versions
  • Social media distribution content

This leads to a very real outcome: "I also have 100 pages" is no longer an advantage.

When everyone can produce pages at low cost, search results and AI recommendation systems become flooded with content that shares similar structures, similar viewpoints, and similar case studies. They look complete but fail to answer a more important question:

Why are you worthy of being trusted?

What Problems Do Page Quantity and Real Assets Respectively Solve?

Asset Main Problem It Solves Value Ceiling Common Risks
More pages Cover more search intents, establish site structure Medium Homogenization, emptiness, rising maintenance costs
More real assets Provide differentiated facts, experience, and evidence High Requires interviews, organization, and continuous updates
Asset-driven pages Transform evidence into discoverable, understandable, convertible entry points Very high Requires planning for structure and conversion paths

Pages certainly have value. Without pages, assets are hard for search engines, AI systems, and users to discover.

But pages are just the packaging and distribution layer. What's truly scarce is: data from product usage, customer quotes, failure experiences, industry judgments, real-world test results, workflow details, and the context that only you possess.

In the future, the most valuable pages won't be "pages that read like articles" but "pages that clearly explain real assets."

The We0.ai Website Shouldn't Blindly Add Pages—It Should Add Three Types of Assets

1. Real Product Assets: How Exactly Do You Work?

Many AI website-building platforms repeatedly say "fast, intelligent, simple, powerful." These words aren't wrong, but almost any product can say them.

What's more valuable:

  • What did a real project go through from requirements to launch?
  • Which pages were AI-generated, and which steps involved human input?
  • What exactly was done for SEO/GEO configuration?
  • How is traffic, content performance, and conversion monitored after launch?
  • How does the team review and continue optimizing a month later?

This kind of content helps users understand that We0.ai isn't just a page builder or a tool that only generates demo pages. It's closer to a combination of a showcase website growth platform and manual optimization services.

2. Real Customer Assets: Who Used It, and What Did It Solve?

Case studies don't end with placing customer logos on a page.

A useful case study should at least answer:

  1. Where was the customer originally stuck?
  2. Why didn't they choose a regular template or build it themselves?
  3. What specific work did We0.ai do?
  4. What changes occurred in pages, copy, or content structure?
  5. What changes happened in traffic, inquiries, registrations, or sales processes after launch?
  6. Which results are still being monitored?

Imperfect but specific case studies are usually more convincing than polished but vague success stories.

For SaaS teams, independent developers, agencies, consultants, and creators, real case studies also help visitors quickly self-identify: Is this similar to my situation?

3. Real Domain Assets: What Do You Know That the Model Doesn't?

Models can summarize public information, but they don't automatically have access to your business context.

The We0.ai website can continuously accumulate:

  • Common failure patterns in website building
  • Differences in page structure across industries
  • Practical issues with multilingual websites
  • How AI search understands products and brands
  • What type of content is more likely to generate inquiries rather than just page views
  • Questions customers repeatedly ask before purchasing
  • Which metrics deserve attention after a page goes live

Once organized, these assets can become guides, case studies, glossary entries, comparison pages, FAQs, industry pages, and product pages.

The image shows a tech-infused network structure diagram. At the center is a glowing hexagon, connected by multiple blue lines to various icon shapes at the ends—such as chat bubbles, charts, and folders—representing data or information. These icons are linked to the central hexagon through lines, forming an information relay network. The image is related to the document's discussion of how AI search understands products and brands, potentially symbolizing the process of AI comprehending product and brand information through a network structure.

So Should More Pages Still Be Added? Yes, but Every Page Must Have a Job

I'm not suggesting the We0.ai website stop expanding pages. Quite the opposite—as real assets grow, there should be more pages.

But every page should have a clear mission rather than just padding the count:

Page Type Page Mission Real Assets That Should Be Included
Product pages Explain how the product solves problems Workflows, service boundaries, feature evidence
Use case pages Help target users self-identify Industry scenarios, user problems, actual processes
Case study pages Reduce trust costs

Customer background, process, results, limitations |
| Comparison page | Help users make choices | Applicable boundaries, pros and cons, real differences |
| Guide page | Capture long-tail search and AI citations | Methods, experience, data, step-by-step instructions |
| FAQ | Address pre-purchase questions | Sales records, customer service issues, user quotes |
| Update page | Prove ongoing product operation | Version changes, experiment results, feature descriptions |

Not every keyword deserves its own page, but every important user question should have a credible answer entry point.

The image shows a network structure centered on a question mark, surrounded by blocks with icons and text. The blocks contain different icons such as scales, charts, books, headphones, etc., representing different functions or domains. The central question mark symbolizes a question or query. The overall picture uses blue as the main color tone, with a dark blue background, and blue glowing dots and lines, creating a tech-forward feel. This image echoes the content in the document about adding credible answer entry points, visually presenting the scenario of solving user questions through a network structure.

Why are authentic materials increasingly important for SEO and GEO?

Google's public guidelines have always emphasized helpful, reliable, people-first content, rather than content created primarily for search engines. In the age of AI-powered search, this requirement won't become more lenient.

Because AI systems need to answer user questions, they need information that is understandable, verifiable, and sufficiently complete in context. It's not just looking for "the sentence that looks most like an answer" — it's also evaluating:

  • Who runs this website?
  • Has this entity actually done what it claims?
  • Do the pages support each other?
  • Is there first-hand evidence and clear boundaries?
  • Can this content be cited without easily misleading readers?

So GEO isn't about stuffing keywords a few more times, nor is it about slapping an "AI-optimized" label on an article.

The foundation of GEO is giving your website a set of knowledge assets with clear structure, explicit sources, and continuous updates.

What can the We0.ai official website do next?

I would recommend moving forward in the following order.

Step 1: Do a "material inventory," not a keyword inventory first

Find what already exists: customer interviews, sales chats, delivery documents, product demos, user feedback, data screenshots, internal SOPs, and failure records.

Many official websites lack content not because the team has nothing, but because content is scattered across different people's computers, chat histories, and meetings.

Step 2: Reorganize materials around user questions

Users don't read your website according to your department structure. They ask:

  • Are you right for me?
  • What's the difference between you and ordinary AI website builders?
  • Can you help me grow continuously?
  • Who handles optimization after launch?
  • Can I see real case studies?

The page structure should revolve around these questions, not around "how many features we have."

Step 3: Use AI to expand expression, use humans to anchor facts

AI is great for page drafts, content rewriting, multilingual versions, headline testing, internal link suggestions, and FAQ organization.

But authenticity, case details, data interpretation, and product boundaries should not be left to the model's free rein.

AI amplifies the materials; humans ensure the materials are true.

Step 4: Watch growth after launch — don't stop once it's published

A website truly starts working after it goes live.

You need to keep monitoring: Which pages get visited? Which search terms bring users? Where do users drop off? What content is understood by AI or search results? Which pages generate inquiries?

This is also where We0.ai should emphasize more: from Build → Showcase → Grow → Leads, turning the website from a one-time deliverable into a long-term customer acquisition asset.

Final assessment: Add pages, but only add "pages with evidence"

DeepSeek is making AI-generated content increasingly cheap. This doesn't devalue website content — it makes low-quality content lose value faster.

The future competition is not:

Who can generate more pages?

It's:

Who can turn more real experience into pages that users can find, AI can read, and the business can convert?

So the We0.ai website should add more pages, and it should also add more authentic materials. But the order must be:

Authentic materials → Clear structure → Purposeful pages → SEO/GEO visibility → Leads and customers.

The image depicts a futuristic tech scene. On the left is a large pile of stacked documents, and on the right is a glowing screen displaying images of mountains, the moon, and more. Around the screen are glowing dots and human figure patterns, symbolizing information dissemination. This image is related to the content in the document about how after DeepSeek makes AI content increasingly cheap, the We0.ai website should add more pages and authentic materials — illustrating the importance of adding evidence-backed pages and real materials in the context of AI technology development, in order to address future competition.

Frequently Asked Questions

Will DeepSeek make SEO content worthless?

No. It will lower the cost of "generic expression" and increase the volume of homogenized content. What truly holds value is raw materials, professional experience, case evidence, and clear solution structures.

Does having more pages on a website mean better SEO?

Not necessarily. Pages must satisfy real search intent and provide independent value. Large amounts of duplicate or thin content can increase maintenance costs and even weaken the overall credibility of the site.

What counts as authentic materials?

It includes direct customer quotes, product data, real testing processes, case details, internal methodologies, failure experiences, industry observations, screenshots, and verifiable process information. Not all of it needs to be made public, but it should serve as the factual foundation for content production.

What's the difference between We0.ai and ordinary AI website builders?

Ordinary tools typically focus on "getting the page built." We0.ai focuses more on post-launch operations for showcase websites — SEO, GEO, content, data monitoring, continuous optimization, and lead generation paths.

What if a small team doesn't have many case studies?

You can start with real project processes, user questions, product demos, public experiments, and founder experiences. Don't fabricate customer results. A small amount of authentic content is worth more to accumulate than a large amount of fabricated authority.

Ready to get started?

If you just want to quickly generate a page, plenty of tools already exist in the market.

But if what you want is a website that can continuously showcase your product, accumulate content, gain search and AI referral traffic, and ultimately convert customers, We0.ai is better suited for starting with materials, structure, and growth goals together.

First, find your authentic materials, then turn them into a website that actually works.

Start using We0.ai

Summary

AI will continue to lower content production costs. Pages will become easier to generate, copy will become easier to rewrite, and the number of websites will keep growing.

But trust cannot be mass-produced.

In an era where content is getting cheaper, authentic materials are the most valuable assets a website can have — and the ones most worth accumulating over the long term.