An Algorithm to Humanize AI Content

Artificial Intelligence is excellent at generating text quickly, but much of it feels mechanical, predictable, and, at times, easily flagged by AI detectors. Human readers often notice the lack of rhythm, emotional nuance, and contextual awareness that makes writing feel authentic.

To bridge this gap, we created an algorithm in Blazly SEO that humanizes AI-generated content not by disguising it, but by infusing it with the unpredictability, variety, and cultural grounding of natural human writing.

Why Humanizing AI Matters

• Trust and Authenticity: Readers are more likely to trust content that feels like it was written by a person who understands context and nuance.

• SEO Performance: Search engines reward content that resonates with human readers instead of robotic keyword stuffing.

• Engagement: Articles that vary sentence structure, tone, and rhythm tend to keep readers hooked.

  
  

Core Principles of Humanizing AI Content

1. Perplexity – Humans naturally use less predictable phrasing. By measuring and adjusting perplexity, AI text can avoid repetitive or overly simple structures.

2. Burstiness – Human writing blends short, punchy lines with longer, descriptive sentences. AI often lacks this rhythm.

3. Cultural Context – References, idioms, and tone should reflect the intended audience (for example, using Indian cultural references when writing for Indian readers).

4. Style Flexibility – Content must adapt tone (formal, casual, persuasive, technical, etc.) without sounding formulaic.

5. Feedback Loops – AI should learn from previous outputs, analysing weaknesses such as repetition, jargon, or overuse of clichés.

   
   

The Enhanced Humanization Algorithm

Here’s an upgraded algorithm that incorporates perplexity analysis, OpenAI, and Google Gemini integration to make AI content indistinguishable from human writing:

'use server';

import { ai } from '@/ai/genkit';

import { z } from 'genkit';

import OpenAI from 'openai';

import { GoogleGenerativeAI } from '@google/generative-ai';

// Initialise APIs

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

const gemini = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);

// Step 0: Define schema for analysis feedback

const AIAnalysisFeedbackSchema = z.object({

  perplexityIndicator: z.enum(['low', 'medium', 'high']).optional(),

  burstinessIndicator: z.enum(['low', 'medium', 'high']).optional(),

  patternAnalysis: z.string().optional(),

  stylisticObservations: z.string().optional(),

  culturalRelevance: z.string().optional(),

});

export async function advancedHumanizeText(input) {

  try {

    // STEP 1: Pre-clean text

    // Remove AI clichés, filler transitions, and repeated n-grams before analysis

    const cleanedContent = input.htmlContent

      .replace(/in today’s world/gi, '')

      .replace(/cutting-edge/gi, '')

      .replace(/plays a crucial role/gi, '');

    // STEP 2: Gemini Analysis (Deep Linguistic Feedback)

    // Gemini detects perplexity, burstiness, repetitiveness, and cultural misfits

    const geminiAnalysis = await gemini.generateText({

      model: 'gemini-pro',

      prompt: `

      Analyse this text in terms of:

      - Perplexity (predictability of wording)

      - Burstiness (variation in sentence length and rhythm)

      - Repetitive patterns or AI-like structures

      - Cultural fit for an Indian audience

      - Suggestions to humanise

      Text: ${cleanedContent}

      `

    });

    const feedback = geminiAnalysis.response.text;

    // STEP 3: OpenAI Rewrite (Perplexity & Burstiness Boost)

    // Rewrite the text by incorporating Gemini's feedback

    const response = await openai.chat.completions.create({

      model: 'gpt-4o-mini',

      messages: [

        {

          role: 'system',

          content: `

          You are a human editor.

          Rewrite the following text to:

          - Increase perplexity (avoid predictable phrases)

          - Increase burstiness (mix short & long sentences)

          - Remove AI clichés and stiff transitions

          - Preserve cultural context for Indian readers

          - Maintain SEO keywords naturally

          - Apply tone: ${input.tone || "informative"}

          Gemini Feedback: ${feedback}

          `

        },

        { role: 'user', content: cleanedContent }

      ],

      temperature: 0.85,

      presence_penalty: 0.7, // discourages repetition

      frequency_penalty: 0.6  // encourages varied phrasing

    });

    const rewrittenText = response.choices[0].message.content;

    // STEP 4: Secondary Polishing Pass (AI + Human Mimicry)

    // Pass rewritten text back into Gemini for style balancing

    const finalPolish = await gemini.generateText({

      model: 'gemini-pro',

      prompt: `

      Rewrite this content to mimic natural human writing rhythm.

      Avoid mechanical repetition, preserve tone, and enhance clarity.

      Text: ${rewrittenText}

      `

    });

    // STEP 5: Return final humanized content

    return {

      humanizedHtmlContent: finalPolish.response.text,

      analysisFeedback: feedback

    };

  } catch (error) {

    return { error: error.message };

  }

}

We are using similar algorithm in Blazly SEO but with millions of prompts, dataset and machine learning to make content completely humanized

How This Algorithm Works

1. Text Analysis (Gemini)

   
   

   Google’s Gemini model first analyses the raw text for predictability, sentence rhythm, and stylistic issues. This feedback serves as a baseline.

   
   

2. Humanization (OpenAI)

   
   

   The text is passed to OpenAI’s GPT-4o-mini, which rewrites the content while adjusting perplexity and burstiness. It ensures the writing feels natural, unpredictable, and engaging.

   
   

3. Feedback Integration

   
   

   The system loops feedback back into future rewrites. Over time, it learns what “sounds human” for specific audiences.

   
   

Example in Action

Original AI Output:

"In today’s world, technology plays a crucial role in shaping industries and driving innovation."

Humanized Version:

"Walk through any office, café, or classroom, and you will see technology quietly steering how people work and share ideas. It is not just tools—it has become part of daily life."

Notice how the second version feels lived-in, with varied structure and cultural grounding.

The Takeaway

Humanizing AI content is not about tricking detectors—it is about creating writing that people actually want to read. By combining perplexity control, burstiness, cultural relevance, and multi-model integration (OpenAI + Gemini), we can design algorithms that produce content indistinguishable from human writing.

The future of AI content lies in balance: letting machines handle the efficiency of generation, while algorithms and tools like Blazly SEO will make the output genuinely human.

Try BlazlySEO