Test fast, gain ground on GEO
“SEO is dead. Long live SEO?”
Since the arrival of ChatGPT, the industry has been questioning itself. But it’s not so much SEO that’s evolving as the search engines themselves. Google is no longer alone in the race: GPTBot, ClaudeBot, PerplexityBot—these new AI crawlers read, digest and regurgitate your content in answers, often without mentioning you.
Visibility is shifting. And while many SEO principles still apply in GEO (Generative Engine Optimisation), their intensity changes. To be extracted by LLMs, content must be intelligible outside its original context: AI engines interpret in blocks, according to sessions where memory and personalization can influence selection. Semantic depth, already crucial for SEO, becomes essential to generate useful AI responses. On the authority side, the paradigm is shifting: backlinks remain a trust signal, but direct textual citation is becoming a new currency of influence. Finally, content structure, already valued by Google, becomes a technical imperative for AIs to extract information. Structured data is not only used to mark up content for the classic index: it must now be served explicitly, readable directly in the source code, so that it can be interpreted by AI engines without depending on client rendering.
In this context, the winning reflex is rapid, targeted, measurable test & learn. Here’s a checklist of GEO optimisations that can be activated without relying on your technical stack. All are deployable in just a few clicks with EdgeSEO.
Control AI bot access: test llms.txt in real conditions
The llms.txt file proposes a new standard to regulate LLM bot access to your content.
To date, no model officially supports it. But GPTBot (OpenAI) and ClaudeBot (Anthropic) already respect robots.txt, reminding us of the slow historical adoption of the latter.
🧠 “Some AI bots already take robots.txt into account, but do not yet respect the llms.txt format (which remains an emerging proposal), clearly echoing the path followed by robots.txt before being widely adopted, better to anticipate now than suffer later.”
With EdgeSEO, you can test llms.txt on a strategic subset, analyse requests through your logs, refine exposure rules, with no dev required and no friction.
Make your pages AI-friendly: Markdown, structured data, contextual content
LLMs read differently from Google. They analyse in blocks, identify structures, prioritise clarity.
Here’s how EdgeSEO allows you to adapt your content to their logic:
- Transforming HTML into Markdown for AI bots, as Markdown is more readable, more token-efficient, and recommended by Perplexity. It’s becoming an implicit standard for LLM-friendly content.
- Injecting contextual content (generated summaries, dynamic FAQs, information boxes) without impacting UX. Via API (GPT, Claude, etc.), you enrich the page exclusively for the targeted AI bot.
- Making content injected dynamically via JavaScript by third-party services readable, such as customer reviews generated by Bazaarvoice, which can be exposed as static HTML only for AI bots.
- Adding structured tags: FAQ, HowTo, Product, Review, with the option to target only AI bots.
- Simulating semantic tags when absent: untagged lists converted to <ul>, styled titles into <h2>, Q/A blocks framed in a logic of extraction.
📊 Key points to remember (sourc : averi.ai)
- FAQ format = +40% chance of being picked up by ChatGPT or Bard
- H2/H3, tables and lists = +28% visibility
- “Last updated” tag and mention of the current year = higher freshness score
- Figures and sources = +28% probability of being extracted
By adding a “Summarize with ChatGPT/Claude” button, you encourage users to interact with your content via these AIs, which can boost its discoverability and promote its identification as a primary source. EdgeSEO makes it easy to integrate this type of button with the SEO Recommendation application.
Each optimization can be tested on a bot-by-bot basis: GPTBot, ClaudeBot, PerplexityBot, etc. With EdgeSEO, you can deploy your modifications only for a specific AI bot, without impacting the others.
GEO test & learn: compare, validate, iterate
EdgeSEO allows you to run targeted GEO experiments:
- Define a test group (10 to 20 pages),
- Apply your optimisations: markdown, enrichment, structured data,
- Keep a control group unchanged,
- Analyse signals through your logs or third-party tools (crawl frequency, appearances in Perplexity, mentions in AI summaries).
This isn’t traditional A/B split testing, but an effective comparative method to refine your GEO strategy without technical dependency.
Faceted pages & semantic interlinking: open every door to AI
The real strength of GEO is its ability to finely cover long-tail intent, often neglected or impossible to address natively via CMS. Thanks to EdgeSEO, you can dynamically generate ultra-contextual faceted pages without modifying your backend. This allows you to target highly specific queries like “2-person hiking tents under 2kg for bivouac” or “vegan floral perfumes over 50ml”—specific intents likely to be reused verbatim in AI-generated answers.
But creating these pages is not enough, they must also be integrated into a coherent semantic mesh. This is where the EdgeSEO engine comes into play. It allows you to easily deploy your link boxes to structure your thematic clusters and quickly build semantic silos that can be effectively leveraged by AI systems. A good GEO-ready interlinking structure means more crawling, better contextual understanding, more citations—and more indirectly captured traffic.
Conclusion: make your pages the best sources for AI
GEO is not a hypothetical future, it’s a fast-moving reality that’s reshaping the visibility landscape. While some wait for guidelines to emerge, others are already testing, optimising and gaining share of voice. Generative engines like ChatGPT, Claude or Perplexity no longer rely solely on indexing, but on intelligent extraction and contextualisation. What matters now is no longer just appearing, but being understood, selected and cited.
EdgeSEO stands out as the strategic lever to embrace this shift. Because it lets you serve Markdown versions to the right bots, inject AI-ready content on the fly, orchestrate your structured data, generate faceted pages independently from your CMS, and most importantly, test every hypothesis without technical friction. In a world where content is becoming a conversational stream, EdgeSEO turns your pages into reliable, structured sources for LLMs.
The window of opportunity is here. Quiet, but decisive. It’s yours to seize.
