The temptation to programmatically generate hundreds of pages for search is a trap. While technically possible, this content will be generic and lack the real examples, data, and trade-offs that signal authority. AI Answer Engines won't cite this content because it adds nothing new to the conversation.

LLMs can actually benefit sites with deep, authoritative content, even if it's not ranked #1 on Google. AI models prioritize surfacing the best answer, regardless of traditional rank, potentially increasing traffic for subject matter experts.

Don't abandon SEO for GEO. LLMs rely on the same crawling and indexing systems as traditional search engines. To be cited by AI, you must first have strong SEO fundamentals like fast load times and structured data. GEO then builds on this by focusing on answering specific user questions.

LinkedIn is penalizing low-quality AI content while simultaneously offering AI tools. This signals that the platform wants users to leverage AI as a collaborator to enhance authentic, human-generated ideas, not as a replacement for original thought.

Google's search team frames the problem of low-quality, AI-generated content as a continuation of its decades-long battle against spam. The focus remains on their core competency: ranking algorithms that surface quality and demote spam, whether human- or machine-generated.

Blaming AI for flooding the internet with uniform, generic content is a misdiagnosis. The technology acts as a multiplier. An unintelligent user with a primitive prompt will only produce primitive output faster. The root cause of poor content remains the human operator, not the algorithm.

Google's Robbie Stein explains that because AI models, including Google's own, use web searches to gather real-time information, creating trusted, authoritative content remains the most effective strategy for being featured in AI-generated answers.

The initial AI threat to affiliate sites wasn't chatbots, but tools like Jasper AI. Competitors used them to flood Google with low-quality, AI-generated articles. This prompted broad Google algorithm updates that penalized many review sites, including legitimate ones.

SEO expert Gitano DiNardi warns against using AI to simply pump out generic articles like "what is a tech stack?". This creates a "race to the bottom." The strategic use of AI is to enhance subject matter expertise and create highly specific, bottom-of-funnel content that actually gets found in search.