Identify if text is organic or a paid ad
using AI
Below is a free classifier to identify if text is organic or a paid ad. Just input your text, and our AI will predict if the text is organic or a paid ad - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-text-is-organic-or-a-paid-ad", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-text-is-organic-or-a-paid-ad/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-text-is-organic-or-a-paid-ad/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the text is organic or a paid ad.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Organic Content and Paid Advertisement.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text is organic or a paid ad).
Whether you're just curious or building if text is organic or a paid ad detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if text is organic or a paid ad at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Digital Marketing Analysis: Marketers can leverage the text classification function to differentiate between organic content and paid ads across various digital platforms. This analysis enables them to assess the performance of their ad campaigns in relation to organic reach, helping refine strategies for better ROI.
- Content Curation: Content managers can use the identifier to filter organic articles from paid sponsored content in their news feeds or aggregators. This helps in providing unbiased content to users and maintaining the integrity of the platform's content offering.
- SEO Optimization: SEO specialists can utilize the classification function to evaluate which sections of their site attract organic vs. paid traffic. By understanding the distinction, they can optimize content and invest resources in high-performing areas to improve visibility on search engines.
- Ad Budget Allocation: Businesses can analyze the text classification results to guide their advertising budgets effectively between paid and organic campaigns. This insight allows for informed decision-making on where to allocate funds for maximum impact.
- Competitor Analysis: Companies can examine competitor ads and organic content through this classification tool to understand their marketing strategies better. Assessing the ratio of organic content to paid ads enables businesses to identify gaps and opportunities in their own approach.
- Accountability in Marketing Reports: Marketing teams can incorporate the classification function in their reporting processes to clearly distinguish between organic reach and paid advertising spend. This transparency aids in performance assessments and can justify marketing expenses to stakeholders.
- Social Media Monitoring: Social media analysts can implement this identifier to categorize posts across various channels, helping them gauge the effectiveness of organic versus paid engagement strategies. This information is vital for refining social media tactics and enhancing audience interaction.