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ADVICE & STRATEGIES

The GEO era: how to position your business on ChatGPT, Gemini and Perplexity

By Fadi M.7 min read
L’Ère du GEO : Comment Positionner Votre Entreprise sur ChatGPT, Gemini et Perplexity

1. Enable access for AI crawlers

Débloquez l'Accès aux Crawlers d'IA

Before discussing content strategy, you need to ensure AI can technically scan your website.

Configure your robots.txt strategically

Traditional indexing robots (such as Googlebot) are no longer the only visitors to your website. You must explicitly allow access to the new web crawlers. Make sure your robots.txt allows AI-specific bots such as GPTBot, ClaudeBot and OAI-SearchBot.

Adjust your web application firewalls (WAF)

Many security systems, such as Cloudflare, have started blocking AI bots by default to save bandwidth. Check your web application firewall settings to ensure these data extraction robots are not classified as threats and rejected at the entry point.

Implement the “llms.txt” standard

This is the new technical standard for 2026. Place a Markdown-formatted text file at the root of your domain (e.g. yourwebsite.com/llms.txt). This document should summarise your company’s essential facts, pricing and history, giving language models a fast, frictionless way to ingest your raw data.

2. Structure your data (become an “entity”)

Structurez vos Données (Devenez une "Entité")

Artificial intelligence relies on knowledge graphs. It needs to understand that you are a real, verified and indisputable entity.

Deploy advanced Schema.org markup

Go well beyond basic SEO tags. Deploy specific structured data schemas (LocalBusiness, Hotel, FAQPage) in JSON-LD format. Define your exact GPS coordinates, your management’s names and the precise list of services to make the algorithm’s work easier.

Ensure consistent NAP data

Your Name, Address and Phone number (NAP) must be strictly identical across the web. Whether on your website, Google Business Profile or local professional directories in Morocco, a single discrepancy immediately reduces AI’s confidence in your brand’s reliability.

Connect to open databases

AI draws its fundamental facts from public databases. Make sure your business has up-to-date profiles on platforms such as Wikidata or major industry directories. The more you are cited in structured databases, the stronger your “entity” status.

3. Adopt “answer-first” writing

Adoptez la Rédaction "Answer-First"

AI algorithms ignore sales jargon. They look for information density and factual clarity.

Apply the first-sentence rule

Your content architecture needs to change. Under each H2 or H3 heading, the very first sentence should be a direct factual answer. Instead of writing “Discover the magic of our relaxation area”, start with: “Our hammam is open every day from 9 am to 8 pm, with treatments by appointment.”

Prioritise tables and lists

The way AI “reads” text (tokenisation) makes large text blocks inefficient. Algorithms excel at extracting structured data. Instead of burying technical specifications, prices or timelines in long paragraphs, systematically convert them into simple HTML tables or bullet lists. A pricing grid or exact hotel room features presented in a table are far more likely to be extracted and cited by Gemini or ChatGPT than a lengthy literary description.

Increase your “information gain”

AI does not cite sites that simply repeat what is already known. It seeks proprietary data, what Google calls “information gain”. Remove empty phrases such as “We offer the best return on investment”. Replace them with quantified case studies: “By automating our processes, we reduced our automotive partners’ customer acquisition cost (CPA) by 32% in 6 months.” AI uses these specific facts, unique metrics and granular expertise to justify its recommendations to the end user.

4. Build external consensus (master the RAG effect)

In the generative era, what you say about yourself matters less than what the entire web says about you. RAG architecture verifies facts in real time by cross-referencing multiple external sources.

Reverse-engineer current AI citations

The fastest way to earn an AI’s trust is to place your brand on sites it already regards as sources of truth. Ask questions related to your market on Perplexity or ChatGPT and carefully analyse the sites cited in their footnotes. These niche blogs, specialist media and authoritative directories form AI’s knowledge base. Your public relations, guest article and outreach campaigns should exclusively target these specific domains to enter the algorithm’s trust network.

Encourage conversational signals and online sentiment

Modern AI does not merely read institutional articles; it analyses enormous volumes of data from community platforms to capture genuine human sentiment. Platforms such as Reddit, Quora and specialist travel or business forums are constantly examined. Obtaining natural, organic and positive mentions within these discussions provides a powerful authenticity signal. When several independent sources (expert blogs and forum discussions) agree on the quality of your work, the model treats that opinion as established consensus.

Generate highly specific, semantically rich client reviews

AI sentiment analysis goes well beyond a rating out of five stars. A generic review saying “Excellent service” provides no substance for the algorithm. You need processes (automated through follow-up tools) to encourage customers to leave highly detailed reviews describing the initial problem and technical solution provided. A review saying: “They migrated our custom website to WordPress without any loss of SEO traffic, while optimising our landing pages”, gives AI exactly the conceptual keywords it needs to understand your true added value and recommend you for similar queries.

Also read: Meta Andromeda: what this update means for your advertising campaigns

Conclusion

Optimising for generative engines is not a simple SEO trick; it is a fundamental paradigm shift. It means moving away from repetitive manual tasks to build automated systems and impeccable data architectures. By structuring information rigorously and creating scalable agency processes, we enable businesses to stop chasing algorithms and instead become the default algorithmic answer themselves.

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