I’ve been collecting insights from SaaS founders, CMOs, growth marketers, and content leads about the SEO/content/AI visibility challenges they’re trying to solve this year.

The pattern was pretty clear:

A lot of SaaS teams are no longer focusing on ranking keywords.

They’re asking things like:

• How do we get mentioned in ChatGPT, Perplexity, and AI Overviews?
• How do we turn organic traffic into demos, trials, or signups?
• How do we create product-led content that actually helps buyers decide?
• How do we prove SEO ROI when more discovery happens without a click?
• How do we compete with bigger SaaS brands that already dominate search and AI answers?
• How do we scale content with a small team without publishing generic posts?

One thing that stood out to me is that many teams still have traffic, but they’re struggling with conversion or visibility in AI-assisted research. Some are ranking on Google, but not showing up when buyers ask AI tools for recommendations. Others are getting visits, but the content doesn’t clearly connect the problem to the product.

It feels like SaaS SEO is becoming less about “publish more content” and more about building a system:

intent → content → product clarity → proof → conversion path → authority → AI visibility

The biggest shift, in my opinion, is that generic content is losing value fast. AI can summarize basic informational content easily. What seems to be working better is specific content with real examples, comparisons, product context, customer proof, use cases, and clearer answers.

Curious what others are seeing.

If you work in SaaS, what’s the biggest SEO, content, or AI visibility challenge you’re trying to solve this year?

I’ve been thinking about this because Google is now removing FAQ rich results from Search, so the old SEO reason for adding FAQs is basically gone. For a long time, a lot of sites used FAQs because they could get those expandable dropdowns in the SERP. More space, more visibility, maybe better CTR.

But if that’s the only reason someone was adding FAQs, then yeah, that tactic is probably dead. That said, I don’t think FAQs themselves are dead. I think the purpose has just changed. For SaaS and B2B sites especially, FAQs still help because they answer the questions buyers usually have before they convert. Things like:

• Is this actually for a company like ours?
• How is this different from other options?
• What happens after signup or after booking a call?
• What results should we realistically expect?
• How does pricing work?
• Do we need this now, or is it too early?

Those questions may not always fit naturally in the main page copy, but they matter a lot for conversion. They also help with SEO in a different way. Not because of the rich result anymore, but because they help cover long-tail questions, objections, comparison points, and intent that users actually search for. I also think FAQs are becoming more useful for AI visibility, but not in a “just add FAQ schema and AI will cite you” way. That feels too simplistic. The real value is that FAQs create clean, direct Q&A blocks that are easier for both users and machines to understand. Clear questions, specific answers, and better context around what the page is actually about.

So I wouldn’t delete FAQs just because Google removed the SERP feature.

I’d audit them.

If the FAQ section is generic, duplicated, or only there for schema, it probably needs to go or be rewritten. But if it answers real buyer questions and makes the page clearer, I’d keep it.

AQs are still worth doing, but lazy FAQ sections are not.

The old goal was SERP real estate. The new goal is clarity, intent coverage, buyer education, and making your content easier to understand.

Curious how others are handling this. Are you removing FAQ schema, keeping it, or just rewriting FAQs so they serve the page better?

I don’t think AI visibility is replacing SEO, at least not from what we’re seeing in one of our SaaS client's analytics at ScaleLogik.

We reviewed recently, organic search was still driving the majority of users and sign_up events.

https://preview.redd.it/1kod229jynzg1.jpg?width=1080&format=pjpg&auto=webp&s=545ede73b3a9b05056a477075236ac4fea41b62a

So from a measurable growth perspective, the click still matters. The landing page still matters. The conversion path still matters.

But the more interesting part was that chatgpt / referral was also showing up tied to sign_up events.

Not as the main driver.

Not anywhere close to replacing Google organic.

But enough to show that AI-assisted discovery is starting to appear in measurable website behavior.

My current take is that AI visibility is becoming more of an authority and consideration layer for SaaS.

It can influence how people discover a brand, understand a category, compare options, and decide who to trust.

But the actual measurable action still usually happens on the website.

That is why I think the SEO vs GEO debate is too simplistic.

The better questions are:

Are AI tools describing the brand correctly?

Are we showing up for the right high-intent prompts?

Are competitors being recommended more often than us?

Which sources are AI tools relying on?

Are those sources owned pages, review sites, Reddit threads, comparison pages, or third-party articles?

Are AI referrals showing up in GA4?

And when users land on the site, are they actually converting?

I also think AI visibility tools need more nuance.

Being mentioned is not the same as being recommended.

Being cited is not the same as being positioned favorably.

And showing up once in an AI answer is not the same as having strong AI visibility.

For now, we’re treating AI visibility data as directional market intelligence, not a replacement for SEO reporting.

Organic search still has to prove conversion value.

AI visibility supports trust, authority, and consideration around that system.

Curious if others are seeing ChatGPT, Perplexity, Gemini, or other AI referrals tied to actual signups, demos, or trials yet, or if it’s still mostly noise in your accounts.

One thing I keep seeing in SaaS SEO reporting:

Organic can drive the majority of users and signups, but that still does not answer the most important question.

Are those users actually moving closer to revenue?

A recent GA4 snapshot I reviewed showed organic search driving around 70% of total users and more than 70% of key events. Good sign, yes. But I would still not call that a win without looking at what happens after signup.

For SaaS, the better SEO question is not just:

“Did organic traffic grow?”

It should be:

“Which organic pages are driving signups, activation, demos, or qualified pipeline?”

This is where a lot of SEO work falls short. Teams report traffic, rankings, and conversions, but they do not always connect the landing page to the next meaningful product or revenue action.

For me, SaaS SEO has to be built as a system:

Intent → content → product → conversion → authority → AI visibility

Traffic matters. Rankings still matter. But the real value comes when organic search helps the business grow, not just when the dashboard looks better.

https://preview.redd.it/qol59u4esmzg1.png?width=2048&format=png&auto=webp&s=5801b840a915e77404cc4e55d8ec0559b766159b

For context, this screenshot is from one of our SaaS clients at ScaleLogik. When we started, the site had limited traction, low organic visibility, and very few conversion signals.

It was also a harder category to grow because the product sits in the data scraping space, where trust, intent matching, technical SEO, and positioning matter a lot. You cannot just publish generic content and expect it to work.

The growth came from treating SEO as a system, not just a content calendar.

Hey builders 👋

Wanted to share something we didn’t expect and get your thoughts.

We recently launched our SaaS SEO / AI visibility agency site.

No link building.
No outreach.
No real promotion yet.

But within a few days, we started seeing:

• traffic coming in from the US
• and more interestingly, our content getting picked up when we test queries in AI tools (ChatGPT, Gemini)

What we actually did

Instead of focusing on traditional SEO first, we focused on:

• very clear positioning (who we’re for and what we solve)
• structured, answer-ready content
• publishing pages that directly answer specific problems
• reinforcing the same message across a few platforms (not just our site)

No volume play. No “publish 20 blogs.”

Just a few pieces, but very intentional.

What we think is happening

It doesn’t feel like AI systems are ranking pages the same way Google does.

It feels more like they:

• scan multiple sources
• identify patterns
• then select which brands to include in answers

So instead of just trying to “rank higher,” it becomes: are you clearly associated with a specific problem?

What surprised us

We’ve worked on SEO for years, and this feels different.

You can:

• rank and still not get mentioned
• not rank #1 but still show up in AI answers

Which suggests there’s a visibility layer beyond rankings.

It’s not really about being a “big brand”

It’s more about:

• consistency of your message
• clarity of your positioning
• and whether that signal exists beyond your own site

Where I’m still unsure

This is still early for us, so not claiming this is exactly how it works.

But the pattern is strong enough that we’re now treating this as something you can intentionally build, not just wait for.

Curious if anyone else is seeing similar patterns?

Especially:

• newer sites getting picked up faster than expected
• or strong sites not appearing in AI answers

Would love to compare notes

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.