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Generative AI and SEO: strategies for the post-penalization era

Written by Karim Sherief | Oct 29, 2025 5:23:48 PM

THIS ARTICLE IS PART OF OUR FEATURE ON GENERATIVE IA

Google's official position: quality first

In 2022, Google introduced its "Helpful Content" algorithm, which raised concerns about the use of AI in copywriting. After clarification and in-depth analysis, the reality is more nuanced: Google does not intrinsically penalize AI-generated content, but punishes low-quality content, whatever its origin.

The real criterion: added user value

Since April 2024, Google has been evaluating content according to enhanced E-E-A-T(Experience, Expertise, Authoritativeness, Trustworthiness) criteria. For B2B companies, this means that your AI-assisted content must demonstrate..:

  • Industry expertise: Insights specific to your industry
  • Authority: Unique perspective based on your experience
  • Reliability: Verified data and credible sources

 

Hybrid SEO strategy for AI-optimized content

1. Enrichment through proprietary expertise

 

Example - Technology company:

Raw AI content: "Artificial intelligence is transforming the manufacturing industry by optimizing production processes and reducing operational costs."

Content enriched by expertise: "Our customer data shows that manufacturers implementing our predictive AI solutions achieve an average 23% reduction in maintenance costs and 18% improvement in OEE (Overall Equipment Effectiveness).At Schneider Electric, this approach prevented 47 hours of unplanned downtime in Q3 2024."

2. Enhanced technical optimization

Generative AI facilitates large-scale technical SEO optimization:

 

SEO Prompt:
"Optimize this content for the keyword 'manufacturing digital transformation' by maintaining an expert tone. Naturally integrate semantic terms: Industry 4.0, industrial IoT, intelligent automation, predictive maintenance. Target density: 1.5% main keyword, 8-10 semantic variations. H2/H3 structure for potential featured snippets."

3. Long-form content with high added value

AI excels at creating in-depth content that performs well in SEO :

  • Detailed technical guides (3,000+ words)
  • Comparative sector analyses
  • Multi-dimensional case studies
  • Comprehensive reference resources

 

SEO-IA optimized production structure

 

STEP 1

  

Research and strategy (Human)
  • Analysis of search intentions
  • Identification of competitive content gaps
  • Definition of business objectives by content

STEP 2

  

Structured content generation (AI)
  • Creation of SEO-optimized core content
  • Generation of semantic variations
  • Structuring for rich snippets

STEP 3

  

Expert enrichment (Human)
  • Injection of proprietary data
  • Addition of unique sector insights
  • Factual validation and qualitative optimization

Advanced performance measurement

Tracke specifically for AI-assisted content:

  • Average dwell time (quality indicator)
  • Organic traffic → lead conversion rate
  • Positioning on long-tail queries
  • Acquisition of natural backlinks

 

 
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