Artificial intelligence
Customer & Marketing
How can I optimize my content for ChatGPT / Perplexity?
Publiée le January 7, 2026
Publiée le January 7, 2026
Generative engines like ChatGPT, Perplexity or Claude don’t analyze pages in the same way as Google. They extract, interpret and recompose information to answer a question. To optimize your content, you need to understand how these AIs select and synthesize sources.
The TrustRadius report identifies the characteristics of several engines:
| AI engine | Forces | Content priority | Ideal usage |
|---|---|---|---|
| ChatGPT | Efficient synthesis of web data | Favors third-party content (reviews, comparisons) and sometimes deprioritizes vendor arguments | Search for software or services requiring objective opinions |
| Perplexity | Cites sources automatically | Gives high weight to content freshness and authority | Up-to-date, verifiable answers |
| Claude | Nuanced summaries | Highlights differentiations and trade-offs to facilitate interpretation | Executive or comparative decisions |
| Google SGE | Combines SEO and generative responses | Favors structured content, supported by reviews | Maximize visibility with structured, well-documented pages |
These engines use query fan-out to break down the initial question into sub-queries. According to Semrush, the technique slices up the question, collects information, then merges the results to provide a detailed answer. This feature forces content creators to cover every angle of a topic and structure their pages so that they can answer various sub-questions (definitions, benefits, comparisons, examples).
AIs prefer content that answers the question immediately. Each article should begin with a one- or two-sentence summary, followed by three key points. This approach is comparable to Answer Engine Optimization (AEO), a discipline closely related to GEO. Headings and paragraphs should reflect common questions asked by Internet users. FAQ sections, structured in FAQPage tags, reinforce this visibility.
To enable the templates to extract your content, they must be split into independent “chunks”:
Informative H1/H2/H3 titles. Each sub-section must be quoted separately by the AI.
Short paragraphs and lists. Concise sentences make for easy extraction.
Tables and diagrams. Tabular data is easier to recover, but tables must contain succinct words or numbers to avoid overloading.
FAQ sections. Formulate questions in your audience’s language to align content with user intent.
Structured data (schema.org). Use Article, FAQPage, HowTo, Product or LocalBusiness types to help AIs understand content structure.
The rise of generative engines is confirmed by the figures. ChatGPT now attracts 4.5 billion visits per month and is used regularly by 43% of professionals, according to an Oomph survey. At the same time, queries from AI engines (across all media) have increased by 527% in just a few months. Perplexity, although more recent, already totals over 500 million monthly queries. These figures show that optimization for AI platforms is no longer a luxury, but a necessity.
Not all AIs ingest information in the same way, so content must be adapted:
| Platform | Usage statistics | Preferred sources | Key tactics |
|---|---|---|---|
| ChatGPT | 300 M weekly users, 4.5 Bn monthly visits | Wikipedia (47.9%) and comprehensive studies | Create encyclopedic pages, write comprehensive guides and obtain mentions on reference sites |
| Perplexity | 500 M monthly requests | Reddit (46.7%) and recent sources | Post on community forums and blogs, update content frequently, give real-life examples |
| Google SGE | 13.14% of Google queries in 2025 | High-authority SEO content, structured pages | Strengthen E-E-A-T, optimize SEO and schema, highlight reviews |
| Claude | Increasing use (confidential statistics) | Nuanced, contextual documents | Write in-depth analyses, provide context, cite multiple sources |
This segmentation makes it possible to adjust tone, structure and distribution according to the targeted engine.
GEO optimization is organized into four stages:
Researching and targeting intentions. Use tools (AnswerthePublic, Google Trends, Semrush) to identify frequent questions and variations in queries related to your topic. Plan a set of prompts to test in AI engines, and spot content gaps.
Modular content production. Write in-depth articles using the RAG structure: introduction, summary, hierarchical sections, lists, tables and FAQs. Incorporate data, quotes and examples to increase the density of information.
Distribution and commitment. Publish your content on your site and on external platforms (LinkedIn, Medium, Reddit). Encourage users to leave reviews and share your articles. Harmonize your messages on your local listings and social networks.
Measurement and improvement. Use GA4, Profound, BrandRadar and customer surveys to measure AI-referred traffic, your Answer Share of Voice and Q→Q velocity. Benchmark your performance against competitors and update your content accordingly.
By following this methodology, you’ll develop a strong presence on generative engines and increase your chances of being cited.
AIs evaluate Experience, Expertise, Authoritativeness and Trust. Envisionit explains that GEO requires explicit evidence of expertise: author biographies, source citations, references to verified data. Content must be signed, dated and regularly updated. Customer reviews, case studies and testimonials reinforce the dimension of trust.
User reviews are particularly valued by engines. TrustRadius reports that generative engines look for “first-hand accounts” and that verified reviews help AIs build reliable narratives. Integrate review excerpts into your articles and create pages that pick up on recurring review themes.
For local searches (e.g. “shoe store near me”), the AI draws on directories and platforms rather than your site’s store locator. TNG Shopper points out that AI relies on Google Business Profile, Yelp or Apple Maps, and that inconsistent information (hours, NAP) can render a business invisible. It is therefore necessary to synchronize all local data, add rich descriptions and integrate reviews.
Freshness is essential: update your content at least every three months. Measure your GEO performance: track citations and mentions via tools like BrandRadar or Profound, identify queries where you’re cited, and monitor AI-referred traffic. Walker Sands says that tracking traffic referred by chatbots (ChatGPT, Perplexity, Gemini) and the share of voice in AI responses is fundamental.
By applying these principles – immediate response, clear structure, proof of authority, UGC exploitation and local data consistency – you’ll maximize your chances of being quoted by ChatGPT or Perplexity.