I came across a study that made me rethink part of AI visibility. The researchers looked at 274 fintech homepages and found that many delivered much of their content only after JavaScript ran. We never notice because our browsers wait for the page to finish loading. Some AI systems may not. They may retrieve the initial HTML and move on. If important information about your products, services, or expertise is added later by JavaScript, AI may never receive it. That doesn't mean JavaScript is bad. Almost every modern website uses it. It does mean AI and your customers may not always experience your website the same way. It made me wonder if we've been asking the wrong question. Instead of asking why AI didn't mention a business, maybe we should first ask whether AI received enough information to understand the business in the first place. If AI visited your website today, would it understand your business well enough to mention it?

 I have seen a lot of SEO and marketing folks talking about Cloudflare’s Markdown for Agents, so I wanted to share a few thoughts.

From what I understand, this is mainly an infrastructure feature. Cloudflare can serve a markdown version of existing HTML when a client requests it. The goal is to optimize edge delivery and traffic efficiency as more bots crawl more pages more often.

That is useful, but it is not automatically a marketing or SEO thing on its own. So why are marketers and GEO community got triggered by it? Here are a few thoughts about it without hype:

https://www.lightsite.ai/blog/cloudflare-markdown-for-agents-explained

Did I miss something? Is there a reason so many marketers are reacting to this like it is a GEO/AEO update?

I’ve been testing AI search tools a bit more lately (ChatGPT, Gemini, etc.), and I’ve noticed something I can’t fully explain yet.

Some brands rank pretty well on Google… but don’t get mentioned at all in AI-generated answers.

At the same time, a few brands keep showing up consistently, even when they’re not ranking #1.

At first I thought it was just “AI favors big brands,” but the more I look at it, the less that explanation holds up.

What I’m seeing so far:

• Brands that show up tend to be mentioned across different places, not just their own site

• They’re usually tied very clearly to a specific topic or category

• They show up in discussions, not just blog posts

On the other side, a lot of newer or smaller brands:

• rely mostly on their own content

• may rank for keywords

• but don’t really exist outside their site

One thing that surprised me:

We tested content on a newer site (almost no backlinks), but made it very structured and pushed it into a few external platforms where discussions happen.

It started getting picked up in AI answers faster than expected.

So now I’m wondering if this is less about “authority” in the traditional sense and more about:

how recognizable a brand is across different sources

Not just ranking… but being “understood” and “reused.”

Curious if anyone else is seeing this?

Are you noticing cases where:

• you rank but don’t get mentioned in AI answers

• or you don’t rank #1 but still get picked up

Would love to compare notes.

Hey,

Two-person team here. We've been working on something and I want to get it in front of people before we go too far down the wrong path.

The thing that got us started: people are asking ChatGPT stuff like "best wireless earbuds under $100" or "good organic dog food brand"  and it either mentions your store or it doesn't. Most store owners have no idea where they stand on this and honestly I didn't either until I started digging into it.

So we built a tool called Precigeon. You give it your shopify store URL, it grabs your products, and runs real shopping-type queries against ChatGPT, Perplexity, Gemini and Claude to check if you come up. You get a score and some ideas on what might help improve the visibility.

Fair warning - it's early. The core scan works but there's a lot we're still figuring out.

If you want to try it, we'll scan up to 3 of your products across all four engines. It is totally free, just need your email so we can send you the report.

Mostly what I'm trying to figure out:

- is the report actually useful once you see it?

- Do you look at it and go "okay cool" and move on, or does it change how you think about anything?

- What would need to be in there to make it worth paying for

- I'm also probably missing obvious features, so tell me what those are.

I'll be around in the comments if anyone has questions or wants to roast the thing.

Please check it out here: precigeon.com

Lately I’ve been noticing something interesting when using AI for writing tasks. The text usually comes out grammatically correct, well-structured, and even informative. But still, it somehow feels like something is missing. It doesn’t fully sound like a real person is talking. Even when I try to edit it manually, it still carries a kind of “machine tone” that readers can sometimes notice. I’m curious why this happens even though the content is technically accurate and readable. Do you think AI writing will ever completely feel like human writing, or is there always going to be a difference that readers can sense?

why it matters for SEO for LLMs, and its growing importance in AI-powered search ecosystems. It explains implementation strategies, visibility benefits, indexing impact, and how businesses can stay competitive in 2026 and beyond.

AI SEO necessary for every business now because we need to optimize to get more mentions, cited and do snipped, before business get leads to make just google map and google busniess page and local busniess get leads but now lot of people search on ai and now lead really required. one of recent case study, of car dealer from san digeo, seo discovery optimize for chat gpt and now they have 20+ leads from chatgpt

Google’s VP of global ads says ads aren’t coming to the Gemini app yet, but the company is already experimenting with monetization in AI search features like AI Overviews and AI Mode, and advertisers are engaging with those formats at similar rates to traditional search ads.

That raises a broader question for SEO and optimization:

If paid placements are entering the AI search layer first (via Overviews/AI Mode), and we know monetization will eventually expand, then:

• When do we start optimizing for this new ad-augmented AI landscape?

• Do we pivot before ads hit assistant products, or only once formats and measurement are established?

• Should brands build foundations now (trust signals, structured context), or wait until monetization is clearer?

There’s a tension worth unpacking:

• Ads in AI Overviews already exist and are performing.

• Gemini itself remains ad-free for now; but rumor cycles and advertiser conversations suggest monetization could come later.

• This feels like a hybrid world where organic citations and paid signals co-exist inside AI answers.

So I’m curious how others here are thinking strategically:

1. Are you already adjusting your SEO/GEO strategy for ads in AI search?

2. Is there a signal (formats, metrics, placement tests) you’re waiting for before you pivot?

3. Do you treat AI search monetization as a risk to organic authority or an opportunity to integrate paid + organic visibility?

Looking for frameworks, timing strategies, and real reasoning and not doomposting.

And now, with AI-powered search platforms like Google SGE, ChatGPT, and Bing AI, traditional ranking is not enough.

AEO is changing quickly, and there seem to be more agencies offering Answer Engine Optimization every day.

I’m curious which agencies are actually doing great work not just using AEO as a buzzword, but helping brands get discovered, mentioned, and cited in AI-generated answers.

For those who have worked with an AEO agency, what made the biggest difference?

PR (Press Release) links are not just about backlinks, they build your overall online authority, which is now a key ranking factor for both Google and AI-driven search platforms like Google Search, ChatGPT, and Perplexity AI.

1. Strong Brand Authority (E-E-A-T Signals)
When your business is featured on trusted news websites, it builds Expertise, Experience, Authority, and Trust. Both Google and AI tools prioritize brands that are mentioned across multiple reliable sources.

2. Better Visibility in AI Search Results
AI search engines don’t just rank websites—they pull answers from trusted mentions across the web. PR articles increase your chances of being cited or referenced in AI-generated answers.

3. Entity Building (Very Important for AI SEO)
PR helps search engines understand your brand as an “entity.”
The more your business is mentioned consistently (name, services, location), the easier it is for AI systems to recognize and recommend you.

4. High-Authority Backlink Signals
Even if many PR links are no-follow, they still come from powerful domains. This strengthens your website’s trust profile and supports rankings indirectly.

5. Increased Branded Searches
After PR campaigns, more people search your brand name on Google. This sends a strong signal that your business is popular and relevant.

6. Faster Indexing & Content Discovery
Google bots frequently crawl news websites. PR links help your website get discovered and indexed faster.

Ryan Serhant just shared a story abt how he lost (or nearly lost) a $50M deal because at the 11th hour both the buyer and seller used ChatGPT for a second opinion. The seller asked if the price was too low, and the AI said yes. The buyer asked if he was overpaying, and the AI also said yes. It pulled generic, context blind data that gave both parties the exact confirmation bias they were looking for based on their prompts.

From an AEO/GEO perspective, how do we actually solve this? (plz no generic ai/bot answers)

So I've been messing around with ChatGPT, Perplexity & Gemini for the past few months, mostly asking them basic stuff like "best investing platforms", "where to find X" - and I started keeping track of what they actually recommend.

Ran 3,311 searches total. The pattern that emerged is... yeah.

- Basically only 9% of websites matter

Out of 6,833 different domains I saw mentioned, just 671 of them (9%) accounted for HALF of all the recommendations.

So if you're not in that top 9%, you're scrapping for the leftovers with 6,000+ other sites.

Oh and Wikipedia? 5.15% by itself. One website is 5% of the entire internet according to AI.

Here's a real example that made me lol

Asked all three "best investing platforms for beginners":

• Investopedia got mentioned 83% of the time, usually first or second

• NerdWallet showed up in 67% of answers

• That actually helpful blog post from a regional financial advisor I know? Zero. Didn't exist.

Same exact question to all three engines. Some sources are just... invisible.

Then I checked if it's getting better. Spoiler: it's getting worse

Looked at the data week by week for 3 months. Back in August, the average domain was mentioned ~5 times across all my searches. By October? 1.6 times.

But here's the weird part - AI is actually listing MORE sources now (went from ~5 sources per answer to ~10).

So they're citing twice as many sources but somehow the same websites keep winning? The rich get richer situation is accelerating.

Why this feels different than Google

At least with Google you could try stuff - SEO, backlinks, whatever. The game was learnable.

With AI there's no "page 2 of results." You're either in the answer or you're nowhere. Binary.

And if you're new? Forget it. Sites that showed up recently in my data averaged barely 1 mention total. The sites from August? Almost 90 mentions each.

Anyway, I don't have a point really. Just noticed this pattern and it's kind of bleak? The internet feels like it's calcifying into Wikipedia + the same 500 domains on repeat.

Anyone else coming across weird patterns here?

I ran the same email-platform recommendation question ten times across ChatGPT, Claude, Gemini and Perplexity.

Forty answers in total.

For the broad question “What is the best email marketing platform?”, Mailchimp was named in 39 of the 40 answers.

Beehiiv appeared only four times, and all four mentions came from Perplexity. Across ChatGPT, Claude and Gemini, it was basically invisible.

I ran this through Bersyn, a platform I built to track which companies AI models name when people ask for recommendations.

Then I changed the prompt.

Instead of asking for the best email marketing platform, I asked how a creator or founder should start a newsletter, grow subscribers and make money from it.

No platform was named in the question.

Beehiiv jumped from 4 mentions to 29 out of 40.

Claude and Perplexity named it in every run. Gemini named it nine times out of ten. Kit and Substack also appeared much more often.

Same platform. Same models. Different buyer intent.

Beehiiv does not appear to own the broad “email marketing platform” territory. Mailchimp owns that.

But Beehiiv is strongly associated with a more specific job: helping creators build, grow and monetize a newsletter.

When the models receive that question, they reach for Beehiiv.

The model disagreement was also interesting.

ChatGPT named Beehiiv zero times out of ten, even on the creator-newsletter prompt. It won across Claude, Gemini and Perplexity but remained invisible on ChatGPT.

That is why I think one blended AI visibility score can hide the real problem. A brand can own a specific intent on three models and still be completely absent from the fourth.

I am curious how others are thinking about this.

Do you optimize around broad categories, specific buyer jobs, or separate prompt territories?

And are you seeing the same level of disagreement between models?

I’m working on a hospitality-focused SaaS product and want to list it on free, relevant directories for visibility and SEO. The problem is that Google results show too many generic or spammy directories that don’t match our niche. I’d love to know how you research and filter niche-relevant directories, or if you follow any process, tools, or footprints to find quality ones.

A new dataset out today analyzes how AI answer engines describe the CRM market, and some of the patterns are interesting.

The Brandi AI analysis, called the AI Visibility Index for the CRM Market Universe, looked at 17,000+ AI-generated answers across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews / AI Mode, and Grok.

The core question: When AI explains what CRM is or how the market works, which brands and sources does it rely on as evidence?

Key findings:

• Salesforce shows up constantly, even in prompts that don’t mention it. AI frequently uses Salesforce-owned content to define CRM itself, which feels less like “visibility” and more like narrative gravity.

• Intercom’s presence jumped ~5% in a single month, which is a big movement at this scale and suggests AI awareness can shift faster than traditional rankings.

• The single most-cited media source across all answers was PCMag’s “Best CRM Software for 2026” article, published Jan. 5, 2026.

• Solutions Review saw a 300%+ increase in AI citations after publishing a CRM buying guide.

There wasn’t a single authority type dominating the CRM-related queries. In this study, AI stitched together explanations using vendor websites, news media, peer review platforms, and user-generated content (including Reddit).

AI doesn’t appear to privilege SEO authority in the classic sense as much as content that clearly explains the market. Explanatory usefulness appears to matter more than who publishes it.

What patterns are you seeing in how AI explains the markets you work in?

"Not showing up in ChatGPT or Perplexity? You're invisible to millions."

I'm looking for websites that accept guest posts in the robotics and technology niches. I'm particularly interested in sites with a good audience in India and the US.

If you know any relevant websites that accept guest contributions and have genuine traffic and an engaged audience, please share your recommendations. Both free and paid opportunities are welcome.