How to fetch meta description, title, keyword, category from content using AI in .net?

Question

ICSM Computer · Answer

If you want to automatically fetch meta description, title, keywords, and category from a given piece of content using AI in
.NET, you basically need a pipeline that:
Takes your article/blog/content as input.Sends it to an AI model (e.g., OpenAI GPT, Azure OpenAI, Hugging Face, etc.)Parses the model's structured output into your .NET objects.
1. Example Prompt for AI Extraction
You can design a prompt like:
Extract the following fields from the given content:
- Title: A concise headline
- Meta description: Summary under 160 characters
- Keywords: 5–10 relevant SEO keywords
- Category: Broad topic classification
Return JSON only in this format:
{
  "title": "...",
  "metaDescription": "...",
  "keywords": ["...", "..."],
  "category": "..."
}
Content:
[YOUR CONTENT HERE]
2. .NET C# Example with OpenAI
Here’s a working example using Azure OpenAI (but you can adapt for OpenAI API directly):
using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json.Linq;
class Program
{
    static async Task Main()
    {
        string content = @"Your blog/article text here...";
        string prompt = $@"
Extract the following fields from the given content:
- Title: A concise headline
- Meta description: Summary under 160 characters
- Keywords: 5–10 relevant SEO keywords
- Category: Broad topic classification
Return JSON only in this format:
{{
  ""title"": """",
  ""metaDescription"": """",
  ""keywords"": [""...""],
  ""category"": """"
}}
Content:
{content}
";
        string endpoint = "https://YOUR_AZURE_OPENAI_ENDPOINT/openai/deployments/YOUR_MODEL/chat/completions?api-version=2024-05-01-preview";
        string apiKey = "YOUR_API_KEY";
        using (var client = new HttpClient())
        {
            client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
            var requestBody = new
            {
                messages = new[]
                {
                    new { role = "system", content = "You are an assistant that extracts SEO metadata from content." },
                    new { role = "user", content = prompt }
                },
                matokens = 300,
                temperature = 0.3
            };
            var json = Newtonsoft.Json.JsonConvert.SerializeObject(requestBody);
            var response = await client.PostAsync(endpoint, new StringContent(json, Encoding.UTF8, "application/json"));
            string result = await response.Content.ReadAsStringAsync();
            var parsed = JObject.Parse(result);
            string jsonResponse = parsed["choices"]?[0]?["message"]?["content"]?.ToString();
            Console.WriteLine("Extracted Metadata:
" + jsonResponse);
        }
    }
}
3. Why Use AI Instead of Regex?
AI understands context — it can create SEO-friendly titles and summaries, not just extract first
andlt;pandgt; tags.It can classify category (e.g., “Technology”, “Travel”, “Health”) even if the article never explicitly says it.AI can choose optimal keywords for SEO rather than just picking frequent words.
4. If You Want to Avoid Paid APIs
Use Local LLMs with Ollama or
LM Studio and call them from 
.NET.Use Hugging Face models like facebook/bart-large-cnn for summaries or
keyBERT for keyword extraction (via Python interop or ONNX in C#).
5. Possible Architecture
Content (HTML/Text)
       ↓
[Pre-processing] (strip HTML, clean text)
       ↓
[AI Call] (Prompt for title, meta, keywords, category)
       ↓
[Parse JSON Output]
       ↓
Save to DB / Show in UI
If you want, I can give you a ready-to-use .NET method that:
Takes raw HTML or textCleans itSends it to AIReturns strongly-typed SEOData model with Title, 
MetaDescription, Keywords, Category.

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How to fetch meta description, title, keyword, category from content using AI in .net?

Anubhav Kumar

Can you answer this question?

1 Answers

1. Example Prompt for AI Extraction

2. .NET C# Example with OpenAI

3. Why Use AI Instead of Regex?

4. If You Want to Avoid Paid APIs

5. Possible Architecture

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