I noticed a lot of top-cited URLs in AI search are pages that would otherwise drive little to no SEO visibility on Google (spammy/low quality/hit by algorithm updates)
I used the @ahrefs MCP integration with Claude to look at SEO visibility metrics for the top-cited domains in the "pets" category this month (according to @tryprofound)
Indeed - lots of sites with little to no SEO visibility are still driving substantial citations in AI search (the red rows).
This data is aggregated across 8 LLMs though - it will be interesting to filter this out for each LLM. My hunch is that Copilot, ChatGPT and Perplexity tend to cite the low-SEO-visibility URLs more frequently than Gemini, AI Mode and AI Overviews.
I'll dive deeper soon - stay tuned!
🚨 Updated: The 5 Key AI Search vs Traditional Search Differences 👇
"AI search is exactly the same as traditional search"
vs
"Everything is different with AI vs traditional search".
As usual, the best approach lies in the middle.
On one end, saying "AI search is exactly the same as traditional search" ignores the significant shifts in behavior, and results presentation that AI search platforms have introduced.
On the other, claiming "Everything is different with AI search" overlooks the foundational search principles that remain.
Embracing that nuance, both what's different and what's still foundational, is key to adapting effectively.
So what actually changes with AI search? Here are 5 areas of shifts so far:
1. Search Behavior
👩🏽💻 Traditional Search: Short, keyword based, one-off queries with high navigational intent
🤖 AI Search: Long, conversational based, multi-turn queries with high task oriented intent
2. Query Handling
👩🏽💻 Traditional Search: Single query match
🤖 AI Search: Query fan-out / Multiple sub-queries matches
3. Optimization Target
👩🏽💻 Traditional Search: Page Level Relevance
🤖 AI Search: Passage / Chunk Level Relevance
4. Authority & Popularity Signals
👩🏽💻 Traditional Search: Links and engagement based popularity at domain and page level
🤖 AI Search: Mentions / Citations & Entity Based Authority at Passage & Concept Level
5. Results Presentation
👩🏽💻 Traditional Search: Ranked List of Multiple Linked Pages
🤖 AI Search: Single synthesized answer with mentions and secondary links to sources
Check them here: https://t.co/SWb3W9r7Hl
The AI Search Content Optimization Checklist [With Google Sheets to copy/paste] 👇
I’ve created an AI Search Content Optimization Checklist, going through the most important aspects to take into account to optimize your content for AI search answers along with their importance and how to take action, going through:
1. Optimize for Chunk-Level Retrieval
2. Optimize for Answer Synthesis
3. Optimize for Citation-Worthiness
4. Optimize for Topical Breadth and Depth
5. Optimize for Multi-Modal Support
6. Optimize for Content Authoritativeness Signals
7. Optimize for Personalization Resilient Content
8. Optimize for content crawlability and indexability
Check it out and access the Google Sheets here:
https://t.co/e87HMPhDce
"You need a plan for the entire marketing funnel, but you also need a plan for those who don't follow the standard funnel...there are situations where bottom of the funnel doesn't convert..."
"If you take anything away today, let it be this: You need a full customer journey...and what content delivers on that the most."
#sejwebinar #leadgenSEJ #leadgeneration
Si quieres analizar los datos estructurados de una URL de manera rápida, te recomiendo esta extensión para Chrome:
➡️ https://t.co/jrphxn5MrR
Tendrás todo a un clic, y sólo con otro más podrás descargarte el marcado que quieras para poder editarlo y subirlo después a tu web 😉
Thank you so much for an amazing 2023. We look forward to creating fun and educational content in 2024 for you! Cheers to a new year and all the exciting announcements ahead!
We remain committed to our partnership with OpenAI and have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners. We look forward to getting to know Emmett Shear and OAI's new leadership team and working with them. And we’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.
We remain committed to our partnership with OpenAI and have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners. We look forward to getting to know Emmett Shear and OAI's new leadership team and working with them. And we’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.