How to generate a cosmetic ingredient website with a budget under $100?

Safety first: We don't recommend generating any website, especially one about cosmetic ingredients.

This is an ironic Q&A about how modern search engines and AI tools are vulnerable to unfair tactics that can be used to gain traffic for commercial purposes, harm competitors, or generate revenue in various other ways.

As a base, we can use a CosIng database dump, a CSV file that contains 30k entries of cosmetic ingredients. Each entry has three useful fields: name, description, and function. Other fields can be used to enrich content.

Other requirements include:

  • a domain name ~$10
  • a hosting; shared hosting is accessible starting from ~$3 per month
  • a CMS - for free, any average shared hosting offers installation of fresh WordPress or something similar
  • A ready-to-use theme (design) available for free or for approximately $5 - $60.

First-month spending can be as low as $13 - $18.

How to generate a website within minutes?

We got a domain, hosting, and a website engine. Now we need a tool that allows us to import CSV and generate tens of thousands of pages.

Several plugins allow us to import SCV; all we need to do is map the CSV table column names to the content fields. In our case:

  • ingredient name goes to title
  • description to post or page body
  • function to category, tag, or any other taxonomy

After importing, Voilà! We have a brand new cosmetic ingredients website with 30k pages. We need to create navigational menus and other links to complete our website, which is currently functional. Our janky website yet appears valuable to search engines.

How to automate (programmatic) fluff generation and trick search engines?

  1. Generate tons of catchy meta descriptions. It is an easy task; you need a template, where the ingredient name (post title) will be replaced. For example: "Read what {{inserted name}} is doing in your skincare or cosmetic product...bla bla".
  2. Add general text to groups of ingredients based on their names. The program is straightforward: a condition (starts with, ends with, contains) and an injected text template.
    • For example, if it has an alkyl group, e.g., name starts with Acetyl, Palmitoyl, Myristoyl, or other programmatically add something like "{{Alkyl group name}} means that the ingredient contains, as a fatty acid component...bla bla"
    • Another example, if the name contains "peptide", get the amino acid count by Ancient Greek prefixes (e.g, Di: 2; Tri: 2; Tetra: 4, and so on) and output something like "Peptides are linking products of amino acids. Tripeptide-n has {{number of amino acids}} residues...bla bla"
  3. Generate general texts based on the function. Easy: for example, anti-aging: "{{Ingredient name }} designed to target and stimulate collagen production and improve skin elasticity...bla bla"
  4. Add general text about the combination of ingredients: Works well with {{popular ingredient name 1}} for hydration and {{popular ingredient name 2}} for enhanced anti-aging effects.
  5. Mimic skincare product descriptions: Best used in the {{random day|night}} as part of a {{random-result}}-time skincare routine.

Voilà! We have an advanced, fluffy cosmetic ingredients website.

How to automate fluff generation with AI and trick search engines and other AIs?

It is easier to do than programmatic fluff generation. Why bother with conditional text templates when you can outsource the entire generation to AI for a penny?

All you need is an API access to any major AI, such as the OpenAI API, and a simple Python script for automation. You don't need to know the Python programming language or have special skills; any major AI will generate the automation script.

Script action

  1. The script retrieves a CosIng entry, such as Hexapeptide-40, which has a function of "Skin conditioning" and a description of "Hexapeptide-40 is the synthetic peptide consisting of histidine."
  2. Generates a prompt from a template like "Generate an article minimum 800 words using {{name}}, {{description}}, {{function}} with sections: What is {{Ingredient name}}?; Benefits; Who Can Use Adverse Effects; Comedogenic Rating; Summary"
  3. Wait for AI text generation, clean up the standard AI traces, and put the generated text into a CSV under the column "Content"
  4. Do the same in a circle for the following 30,000 entries.

After the generation of fluffy content like "Hexapeptide-40 is a lab-made string of six amino acids built entirely from histidine. Because it is created synthetically...Hexapeptide-40 acts as a skin-conditioning agent, meaning it helps soften...bla bla (800 words of fluff)" import that into website.

Here are budget calculations for 30k articles with an average of 800 words:

  • Cheap AI costs about ~$24
  • Mid-tier - $120-200
  • High-tier - $250-400
  • Premium - $500-900

Voilà! Thirty thousand pages of semantic garbage, and maximum SEO surface area, ready to trick not only Google and Bing, but also the next generation of AIs that will unknowingly recycle this fluff back into the loop.

Conclusion

With a minimal budget of as low as $37 and minimal technical effort, it is possible to create a massive, fluffy cosmetic ingredients website that can fool all search engines, AIs, and consumers. For less than the cost of a dinner out, anyone can flood the internet with 30,000 pages of garbage. Fluffy websites are already appearing in the top search results and overviews, creating AI loops and misleading customers seeking reliable information.

Every recycled fluff article doesn't just mislead a single reader; it feeds back into search engines and AI training sets. This creates a self-reinforcing loop where misinformation is rewarded, while real, high-quality, and trustworthy content is buried.

It's time to quarantine the fluff.

Search engines must de-index those websites, AI companies must block them, and users must learn to recognize and report them accordingly.