Getting cited in generative engines doesn’t follow the same playbook as SEO. In fact, some tactics that work in traditional search won’t help your visibility in ChatGPT, Gemini, and Perplexity.
Here’s what to avoid:
Assuming SEO rankings equal AI visibility
Ranking well in Google doesn’t mean you’ll be featured in generative answers. AI engines use different inputs and are trained to identify patterns, not positions.
Using screenshots, diagrams, or product images as key answers
Visual elements rarely appear in AI chat results. Some platforms may pick up video, but images like charts and screenshots are rarely referenced. If the value you provide isn’t in the text, it probably won’t be seen.
Duplicating answers across your page and website
Repeating the same answer on a page (body of text and FAQ) or multiple pages can confuse large language models. It makes it harder for generative engines to detect relevance and intent.
Publishing high volumes of unedited AI content
AI engines don’t reward quantity. Unedited or templated content is more likely to be ignored or flagged as low value. Generative search relies on clarity and context. If your copy lacks both, it won’t make the cut.
Spamming LLMs with repeated brand mentions
Stuffing the same brand phrase into every content doesn’t improve your visibility. In fact, it can have the opposite effect. Generative engines look for natural signals across credible sources. Your tactics to increase Brand Authority should feel natural, not forced.
Relying on keywords instead of authority
If you only focus on keywords without building brand credibility, you won’t get much value from generative search platforms. As Chima Mmeje said in her spicy hot take, you need an integrated digital strategy that prioritizes brand and SEO, rather than silos.
