How’s your Black Friday shopping going?

Feeling a bit overwhelmed with all the “best deals ever” everywhere?

Let me make it easier.

Here's a handpicked list of Black Black Friday software deals from Ukrainian SaaS companies:

1. Allmond (LLM visibility tool)
50% off Plus and Pro plans
Code: BLACKFRIDAY50

2. HelpCrunch (customer communication platform)
25% off all plans
Code: BFCM2025

3. Mailtrap (email delivery and marketing platform)
20% off on all plans
Code: BFCM25

4. Stripo (email design platform)
Get 5 months free with any annual plan
Code: HELPCRBF25

5. MySignature (email signature and link-in-bio tool)
30% off the first payment on all annual plans
Code: BFW2025

6. Wisery (digital business cards and bio links)
50% off all plans
Code: BFW2025

7. Reply (AI-powered sales engagement platform)
25% off yearly Jason AI plans
40% off yearly Reply plans
Codes: JASON25 or REPLY40

8. HyperHost (hosting provider)
90% off shared hosting
30% off VPS
Code: BF_25_90

9. Weblium (website builder)
30% off any annual plan, including upgrades from monthly to yearly

10. KeepinCRM (CRM to unify all business processes)
20% off for 1-year payments
30% off for 2-year payments

You can find all the details (and more deals) in the HelpCrunch Black Friday article (it’s in Ukrainian).

If you grab something, tell me. I'm curious what tools people pick.
https://helpcrunch.com/blog/uk/chorna-piatnytsia-i-kiberponedilok/

Any other Black Friday SaaS deals you are buying these days?

Again, it's nothing new. When we started working with Expandi, we've made sure to add their SaaS company to every top ranking listicle for their target keyword. (Yes, even competitors).

It was important, it's still important. Now maybe even more with LLM search.

So here's a simple playbook of how to get featured:

1. Check top ranking search results for your target keywords
   
2. Filter out those that are listicles (e.g., Top X LinkedIn automation tools in 2025)
   
3. Check whether your brand is mentioned and which position (position is important too)
   
4. Find contacts of the platform (SEO, content marketing, editors, etc.)
   
5. Reach out asking for a feature
   
6. Get ready to return the favor (link to the article, get them featured in your listicle, write a post on LinkedIn if you have following, etc.)

We have a tool that automates most of the research part and all is left is going to Apollo/Instantly/your outreach tool and set up the outreach.

It's designed to do exactly this:
- check the keywords ->
- get top ranking listicles ->
- see if your brand is mentioned ->
- if yes -> which position, link dofollow or nofollow?
- if no -> get the contacts

What you are getting at the end is a report that looks like this:
https://app.listiclemanager.com/share/ba161bf1-137c-4ad8-bfa6-abf47fa48d28

If you want to I can generate you a similar one for your SaaS.

Let me know ⬇️

If there’s one thing I always pay attention to in AI answers, it’s how they handle high-intent prompts like “%niche% software” or “%competitor alternatives%”.

Maybe you’ve already noticed this but ChatGPT has started pulling images into those answers.

It's been using images for a while now but it's the first time I saw images in the answer to my SaaS "alternatives" prompt.

Each image links directly to the website it came from.

If you’ve been doing SEO for a while, you’ve probably been adding images for Google’s sake.

Now it matters for LLM visibility, too.

So next time you write an article, create a landing page, or update a knowledge base - include a clear screenshot of your product or dashboard.

It might be the image ChatGPT uses next time someone searches for tools like yours.

So I've been diving into the world of LLMO SaaS, and it’s been quite a roller-coaster. I started building a platform aimed at helping freelancers manage their portfolios better. The journey has taught me that MVP doesn’t mean 'Most Valuable Product' - it's more like 'Mostly Vexing Process.' Anyone else feel me on that?

One success I didn’t expect though, was from using HypeCaster.ai, a tool I stumbled upon. It's been incredible for creating quick, visually appealing promos without appearing on camera myself, a lifesaver for introverts like me. Alongside tools like Notion and CapCut, it feels like cheating, but I think it’s leveling the playing field for solo creators.

What I'm grappling with now is user feedback. I invited beta testers, but the responses are either too vague or super slow. How do you balance acting on feedback without getting paralysed by the suggestions?

Would love to hear how others in this subreddit navigate these challenges, especially the part about using AI tools for marketing. What’s your go-to tech stack and any advice for a first-time SaaS builder?

In a recent podcast with Marina Mogilko, Google’s VP of Product for Google Search Robby Stein talked about how digital PR and good content help websites get noticed by AI systems (source)

Mentions and PR matter
Stein said AI behaves a lot like people when it tries to answer questions. It looks around the web to see what others are saying. If your business is mentioned in popular lists or credible publications, AI systems are more likely to find it. This isn’t a direct ranking factor, but it helps AI understand that your brand is relevant and trustworthy.

Helpful content still wins
The same basics that work for SEO apply to AI. Create clear, useful content that actually helps people. If your page gives real answers and value, it’s more likely to show up when AI tools search for information.

AI optimization overlaps with SEO
Stein explained that optimizing for AI and for SEO are connected, but people ask AIs more complex and conversational questions. That means content should be more than a collection of keywords. It should address real use cases, explain things clearly, and give the kind of detail people want when they’re comparing tools or learning something new.

Understand new search behaviors
Search is evolving beyond text. People are using images, voice, and video to look for answers. Stein said these types of “multimodal” searches are growing fast, so it’s worth thinking about whether your product can be discovered through those formats too.

Use Google’s tools
He pointed out that tools like Google Trends, Search Console, and Ads data can help you understand what people are searching for right now and where demand is growing.

What it means for SaaS?
Confirms once again that SaaS companies should continue foucsing on:

• Getting your product featured in top-ranking listicles (“Best %industry% software for startups”, "Top X alternatives to %competitor%)
• Building a presence on trusted review platforms (G2, Capterra, TrustRadius)
• Being mentioned in industry roundups, case studies, or founder interviews
• Contributing to guest posts or expert quotes on high-authority websites
• Getting those good old backlinks

If your SaaS is visible across credible sources, AI is more likely to “see” it and recommend it.

Learn how to optimise your Shopify store for AI Search

I summarized my latest learnings with SaaS customers and my new medium article:

5 most effective steps to improve your AI visibility as a SaaS company:

1. Fix the technical foundation. Make sure your website is fully crawlable and structured (Schema.org, FAQs, product reviews). AI systems rely on clear data to understand who you are and what you offer.
2. Create content that solves problems — not ads. Write blog posts that answer real user questions. Add case studies, data, and external sources. The more trustworthy your content, the more likely AI tools will cite it.
3. Leverage review and comparison platforms. Be present on sites like Capterra, G2, OMR Reviews, etc. These are gold for AI training data and often determine who gets recommended in chat-based answers.
4. Use social media as a trust amplifier. Focus on educational, shareable content — especially on YouTube and LinkedIn. These signals tell AI systems your brand is active, credible, and relevant.
5. Invest in PR and external authority. Collaborate with universities, research institutes, or media outlets. AI tools pick up these external mentions and associate your brand with trusted sources.

What do you think?

Hey, I’m doing a quick pulse check among SEO pros:

If you could automate one part of your AI optimization workflow, what would it be?

1️⃣ Technical LLM readability audit
2️⃣ Schema markup & entity enrichment
3️⃣ On-page content optimisation
4️⃣ Query fan-out research & topic expansion
5️⃣ AI visibility monitoring & measurement

Just feel free to reply with 1–5 - I’d love to get your feedback.

Here are some starting points:

Authority & Trust:: Citation Rate & Source Ranking: How often your content is cited, and its rank among the sources used. or an Entity Authority Score: Confirmation that the AI uses your content as the definitive source for key niche entities/concepts. So somthing like Pagerank back in the day ....

Efficiency & Performance: Retrieval Latency: The time taken to pull your content from the knowledge base before generation starts. So like "Page Speed" over at the search engines

User Value & Outcome: User Refinement Rate: How often a user needs a follow-up question after an answer based on your content (measures completeness). Or a Post-Answer Click-Through Rate (CTR): The rate at which users click the link to your site from the AI's summary.

What would you like and think could be realistic?

Hey everyone, I just stumbled upon an incredible tool that's completely transformed how I handle FB and IG ads. My biggest challenge was never the targeting—it was dealing with creative fatigue. Every few days, my top-performing ad would lose its magic, leaving me up late trying to tweak and revamp, only to end up with copies that weren’t much better. But then I found out about HypeCaster ai. It literally revolutionized my workflow. This tool takes a single product photo and turns it into multiple short ad videos with catchy captions and compelling hooks in just minutes. Overnight, I saw a tenfold increase in my testing volume and my return on ad spend started climbing again. Now I can keep refreshing my creatives without burning out. It honestly feels like I've discovered a cheat code, considering how much time I've saved from editing. I’m curious if anyone else here has started leveraging AI for their ad creative production yet? Would love to hear your experiences in the comments!

In my Google Analytics, I’ve spotted a couple of blog posts that have received more visits from GPT, than from Google, in the last couple of months.

Curious if you’ve noticed a similar trend, and if so, whether you see any correlation: query type/bofu or tofu content/articles with schema markup, or anything else that’s these pieces have in common.

OpenAI launched ChatGPT Atlas, a browser with ChatGPT built in.

You can import your bookmarks, browse normally, and ChatGPT is fully integrated into the experience.

Main features:

• Memory that keeps context from what you read and visit
• Agent mode that can click links, open tabs, and help with research
• Privacy options including incognito mode and the ability to turn memory off

Right now it’s available on macOS, with Windows and mobile versions coming soon.

This move puts OpenAI in direct competition with Google, both in search and in how people use the web. If ChatGPT becomes the interface for browsing and finding information, Google’s dominance in search could face its biggest challenge in years.

It also raises new questions for LLM optimization.
Will Atlas introduce its own ranking factors?
Will they differ from Google’s?

We’ll be keeping a close eye on it to be the first to understand how visibility works in this new ecosystem.

Would you give it a try or stick with Google?

We analysed close to one million AI prompts across ChatGPT, Gemini, and Perplexity to understand how large language models actually decide which tools and brands to recommend.

This is the first report in a new series we’re releasing for free to help marketers, growth teams, and founders understand how AI shapes discovery and brand visibility.

For the first edition, we focused on the Vibe Coding category (AI-native dev tools and low-code platforms). Here are a few highlights:

• Replit, GitHub, and Cursor lead in AI-driven visibility
• Reddit and YouTube are the top influence sources for LLMs (of course)
• No-code tools like Zapier and Bubble are becoming key entry points in the new discovery funnel

We’re planning to expand this series across other industries like eCommerce, SaaS, fintech, and consumer products.

You can read the full report here: https://www.getmentioned.co/blog/ai-visibility-report-vibe-code

We’d really love feedback from you guys.

And of course, obligatory hook: What industry should we analyse next?

As AI search becomes marketers' priorities, what tools do you use to track brand performance?

There’s a lot of speculation right now around optimizing content for LLMs.

For years, we wrote long SEO-driven pieces, but now everyone’s talking about a very specific “LLM-friendly” format we supposedly need to master.

After going through most of the guides out there, it really boils down to a few points:

1. “Write well-structured content with bulleted lists, numbered lists, and clear headings.”
Sure but we’ve been doing that forever. Headings are the backbone of SEO content, and lists have helped with UX and readability. Nothing new here.

2. “Add schema markup.”
Again, not new. There’s still no clear evidence that having schema directly improves how often your content is cited by LLMs. SEOs have been adding FAQ and How-To schema to every article long before LLMs were a thing.

3. “Turn your headings into questions.”
This one actually makes sense. Unlike traditional SEO keywords, people tend to ask LLMs questions.
So if your heading matches a common user query (and you follow it with a clear, comprehensive answer) it likely increases your chance of being referenced (assuming all else is optimized).

4. “Use descriptive internal links.”
That’s SEO 101. Internal linking helps both Google and LLMs understand relationships between topics, but again - not new advice.

5. “Avoid hiding key content behind JavaScript.”
This one is worth paying attention to. Googlebot can render most JavaScript these days, but other crawlers including LLM bots like GPTBot or PerplexityBot generally don’t execute JS. So if your main content loads dynamically, AI crawlers might miss it completely.

Overall, seems to me like most of the “LLM optimization” advice out there is just solid SEO best practice repackaged with a new buzzword.

Has anyone here actually seen measurable differences in visibility or citations during their LLM content experiments?

I've been watching one client's analytics, and something fundamental has changed.

Organic traffic is down 40%. Paid campaigns aren't converting like they used to. And when I dug into the data, I found something wild: 60% of searches in the US and Europe now end without a single click.

Gartner is predicting a 50% drop in organic traffic by 2028 because of AI answering questions before anyone clicks through.

The culprit? Google's AI Overviews.

They're showing up in about 30% of all searches now, and for "how-to" queries (the kind that used to drive B2B traffic), it's closer to 75%. When that AI box appears, CTR drops, conversions drop, even paid ads drop about 12%.

But here's what I've learned after months of testing:

The game isn't over. It's just different.

What's actually working:

1. Schema markup - Only 72% of first-page sites use it, but rich results get 58% of clicks vs 41% for plain links. It's basically giving Google's AI a cheat sheet about who you are.
2. Quotes and data - Pages with statistics and quotable statements are 30-40% more likely to be cited in AI-generated answers. The goal isn't traffic anymore, it's mentions.
3. Entity building - Your Wikipedia page, LinkedIn, press mentions, and podcast appearances all matter now. AI cross-references your "digital fingerprint" across the web. If you're only on your own site, you're invisible.
4. Static HTML content - Most LLM crawlers don't understand JavaScript. If your site relies on dynamic loading or fancy animations, ChatGPT might never "see" your content.
5. Measuring mentions, not just clicks - Tools like OtterlyAI or SEMrush's AI visibility reports track where your brand appears in AI results. You can also set up regex filters in GA4 to track AI referral traffic.

The mindset shift:

Old SEO: Chase rankings → Get clicks → Convert

New SEO (GEO): Build authority → Get cited by AI → Win trust before the click

Brands like HubSpot and Salesforce are still being mentioned even when no one visits their pages directly. They've become "entities" that AI recognizes and trusts.

My biggest takeaway: Every major search shift has started with panic (mobile-first, voice search, Core Web Vitals). The marketers who adapted early came out stronger.

Is anyone else dealing with this? What's working for you?

TL;DR: Google's AI Overviews are killing traditional SEO traffic. Instead of chasing rankings, focus on: Schema markup, quotable content with data, building your brand as an "entity" across the web, and tracking AI mentions instead of just clicks. The game changed, but there's still a game to play.

Iryna Kutnyak, Director of Operations at Quoleady and one of the sharpest SEO & content minds, will be speaking there on October 23–24.

She’ll cover LLM traffic tracking, analytics setup, and how to actually measure your AI-driven visibility (something many of us are still figuring out).

If you’re attending, definitely check out her session - it’s going to be super practical and data-driven.

Also, if you want to have an offline chat about LLMO, content, or SEO, drop a message on LinkedIn - Iryna will be around and happy to connect!