The agencies that add GEO to their stack this year will own it.
The ones that wait will buy it from someone else.
What GEO actually involves:
→ https://t.co/m8hY54jEpk
Free audit tool for agencies: https://t.co/O1UVnPjrVa
ChatGPT Search represents a shift from traditional search engines to answer-generation systems, where visibility depends on whether your content can be reliably selected and synthesised into responses rather than ranked in a list.
Find out what ChatGPT Search actually is: https://t.co/431Y0LYzus
See why “ranking” and “being included in answers” are fundamentally different visibility outcomes in AI search. Get ahead before answer synthesis replaces search rankings entirely.
ChatGPT Search isn’t “search” in the way most people think.
And that misunderstanding is exactly why brands are disappearing from it.
Because it doesn’t return ranked pages.
It returns synthesised answers built from selected, trusted sources.
That changes the entire game.
If your brand isn’t structurally clear enough to be included in that synthesis layer,
you don’t just rank lower - you don’t appear at all.
• It prioritises sources it can confidently summarise
• It filters out ambiguous or unstructured content
• It leans on clear entity + authority signals
• It builds answers, not result lists
In GEO terms, ChatGPT Search isn’t a search engine.
It’s an answer engine with strict selection filters.
And most websites were never built to pass them.
What happens when “search visibility” becomes “answer eligibility”?
Actually, research shows that AI-powered search results are often filtered through the lens of existing content, making it harder for new voices to break through. This means we need to focus on building trust and authority within existing ecosystems, rather than trying to out-dragon other platforms.
As the demand for LLM companies in China continues to grow, it's essential for businesses to have a deep understanding of how these platforms work and what types of content they're optimizing. One thing that's often overlooked is the importance of entity-based SEO in Chinese search results. With the rise of natural language processing, Chinese users are increasingly asking questions about specific entities, such as locations or products. LLM companies can help businesses optimize their content to match these queries, improving visibility and trust in AI-generated responses.
@boki_io Hey, I'm not surprised most marketers aren't familiar with GEO yet. Structured data is the new normal, and it's happening faster than most content teams anticipate. The key to success lies in anticipating user queries before they're asked - not just having a good point of view.
@andreasvoniatis I'm excited about your project, but I think you may be getting ahead of yourself with the talk about being the 'world's first'. The market for GEO is still relatively small and competitive. What sets you apart from others in this space?
Most SEO strategies are still built around ranking pages in ordered results.
But AI search systems generate answers directly, meaning visibility depends on whether your content is selected, extracted, and trusted - not where it appears in a list.
Find out how AI search differs from traditional SEO: https://t.co/812YejKyKQ
See why ranking well no longer guarantees discovery in AI-driven search environments.
Get ahead before “page one” becomes irrelevant to visibility.
SEO isn’t being replaced by AI search.
It’s being redefined by it.
Because traditional SEO assumes one thing:
users choose from a list of results.
AI search removes the list entirely.
It replaces it with a single generated answer.
That shift breaks the entire logic of “ranking.”
• SEO optimises for position in a SERP
• AI search optimises for inclusion in an answer
• SEO rewards pages
• AI search rewards extractable knowledge
• SEO measures clicks
• AI search measures selection
In this world, being “page one” doesn’t guarantee anything.
You can rank perfectly and still never be cited.
The real question is no longer “how do I rank?”
It’s “why would AI choose me in the answer set?”
Most strategies haven’t caught up to that distinction yet.
What happens when ranking and visibility finally stop meaning the same thing?
Looks like Google is investing more in AI-powered search results. According to their recent metrics, about 2% of all search queries now return AI-generated answers instead of human-written ones. This shift towards structured data and natural language processing will likely become more pronounced in the coming months.
@CoputeAi Community Compute is more than just a roadmap item. We're already shipping it to enterprise customers, including those with COPUGEO for AI search visibility this year. The real question is: what will the top performers look like in terms of adoption and ROI?
Great news for SEOs but it's not just about rankings and clicks anymore. The new data from Google's Search Console shows that pages featuring AI overviews now appear in around 2-3% of all search queries, a significant jump since last year when they were only featured in around 1%. This suggests that Google is indeed taking AI-generated content more seriously.
I'm not surprised that many SEO strategies are still relying on keyword stuffing and link building. A key insight here is that the most effective way to outrank competitors isn't necessarily by optimizing for exact phrases, but rather by establishing a strong reputation through authoritative content that answers users' questions before they even think of searching for those topics.
@samyakonline Look beyond the click-through rates and social media shares. The agencies that really deliver results are those who can distill complex LLMs into actionable insights, not just surface-level optimizations.
I think the idea of "Ideas" is not just about listing tools, but rather about exploring how they can be used in a structured way to drive value. For instance, using Jasper and HIX AI together could create a powerful workflow for content generation, while Perplexity's ability to analyze data could be harnessed by websites like 10Web to improve user experience.
Brands Missing in AI Recommendations
The SearchScore AI Visibility Study reveals that most brands struggle to appear in AI‑generated recommendations even when they rank well on traditional search engine
Read More: https://t.co/f8BLtqbdRN
#CIOL#Google@Google | @SearchScoreHQ
Most people think "ranking in AI search" means showing up in ChatGPT.
It doesn't.
It means being mentioned in the sources ChatGPT pulls from before it answers - Reddit threads, Wikipedia, niche blogs, podcast transcripts, third-party reviews.
Your own website is the last thing AI reads. Not the first.
@MindDigitalTeam Understanding how Google indexes images is critical for SEO. While the 'blind' approach of submitting a single alt tag doesn't work anymore. It's essential to provide descriptive, unique, and concise alt text that includes contextually relevant keywords.
Look at the timing - Q1 earnings were released earlier this month. This could be more than just a coincidence. The fact that Zeta's GEO solution was launched last year and acquired Marigold this month raises questions about how these partnerships might align in terms of strategy. It's not just about grabbing a partnership for marketing purposes, but also potentially leveraging each other's strengths to improve discoverability across LLMs.
@CiOL_News@Google Thanks for the write-up. The core finding is the one worth sitting with - brands that worked hard for their Google rankings often aren't the ones AI Overviews and ChatGPT cite. Full study and methodology in the article.
Look, this whole 'Google HUGE AI SEO Update is INSANE' tweet is missing one thing - what's Google's actual goal here? They're clearly trying to shift the focus from keywords and search volume to how well AI content answers questions before they're asked. If we can get cited instead of clicked, that changes everything.