How to optimize answers to Genai

Chatgpt takes the world of storms. In November 2024 2024 100 million weekly users, although it was only one of the popular generative platforms AI.

No business should ignore these channels because consumers are increasingly turning to Genai to recommend products and brands.

Nevertheless, it is difficult to appear in AI answers and the tactics differ between platforms.

In August 2024, SEER Interactive Marketing Agency, compared the front “Answers of the engines”.

“Answer engines: AI vs. SEO” by SEER INTACTAGE. Click the image to enlarge.

Here’s my version.

Structure Organic search Chatgpt, Gemini, Copilot Massy, ​​AI Google Reports Claude, Deepseek, Llama
Knowledge of knowledge Search index, knowledge chart Training data + search data + memory Search Index Training data
Exit Quotes, ads, search features Answers + quotes Answers + quotes Answers (several links)
Optimization tactics Happy, backlinks, branding Happy, backlinks, branding Google & Bing indices + highest rating Branding

Genai applies to the tactics of optimizing basic search. Sites should be indexed and visible in Google and Bing to appear in front platform responses – Chatgpt, Gemini, AI Google Overview, Microsoft Copilot and Confusion.

However, some tactics of Ai-optimizaiton are, in my experience, more important than others.

Fast, light, simple

AI search engines that have access to the web will lead to business and its purposes, but they do not have to connect to it. General platforms AI often convert content without referring to the source. Anthropic’s Claude, Meta’s Llama and now Deepseek rarely include links.

The permission of these AI on -site search engines is therefore questionable. My customer advice is this: Google has monetized our content for years, but we all benefited from visibility. I usually propose to optimize AI platforms rather than block them.

The best sites optimized A-optimized are fast, lightweight and usable with deactivated javascript. AI search engines are immature, less less. Most of them cannot portray JavaScript and interrupt browsing sites with slow load.

No fluff

For years, Google’s machine learning has favored snippets from pages with clear, brief, Buton answers – although the page itself was not organically on top.

Recent box studies from the point. One comes from the Matt Diggity search optimizer, which shared an example of x the benefits of Google evaluation and brightness.

The story of Matt Diggitityides @MATTDIGITYSEOSEOQUICK about how I broke the Google code using NLP ... tests for two identical articles. One written normally, one written in a friendly NLP format. Difference? • Position 1 VS position #12 on Google. • Here's what the Google Algorithm loves: • Clear Subject-Verb-Object Structure • Zero Fluff Words • Direct commands • Simple Language • Example: "HTML is a basic language for creating a website." What hates: • complex valuation structures • x ambiguous phrases • x Fancy marketing Speak • x abstract concepts • Example: "The revolutionary HTML seizes the stunning experiences of the website."

Matt diggity search optimizer published on x results from his text “Processing of natural language”. Click the image to enlarge.

Matt’s findings apply to all Writing, including generative platforms AI.

In short shorts, the optimization of AI copes with the organic search tactics. Optimization for one is likely to help the other.

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