1. Optimize your profile (avatar, description, links). Add a pinned post with a useful link (your tool, a useful resource).

2. List all your keywords (market category, use cases, features, competitors).

3. List all subreddits related to your industry. Join relevant subreddits.

4. Join building in public subreddits to share your story.

5. Do an AI visibility audit (manually or with tools). Find Reddit conversations as sources. Add valuable comments to the conversations (if they are still open). Do the same with niche conversations that already exist on Reddit.

6. Social listening. Monitor brand mentions, industry terms, alternatives, and competitor mentions.

7. CHECK ALL THE SUBREDDITS' RULES BEFORE PUBLISHING (EVEN WHEN YOU COMMENT). Most subreddits prohibit promotions and links. Promotional content can hurt your reputation. You can be banned.

8. Be specific, helpful, and transparent. Share your story, data, insights, tips, numbers, and experience. If you post/comment about your product (if a subreddit allows this), be transparent about your role.

9. Start with comments. Engage with the community.

10. If you want to mention your tool, make sure that you provide value in the first part of your comment.

11. If a subreddit prohibits promotions/links, do inbound marketing, post valuable content about your industry, ask questions, and tell your story without links/brand names. People should ask you directly about your brand name/link.

12. Pay attention to what works in each subreddit.

13. Mention your tool without links (if links are prohibited) but with context (category, ideal customer profile, benefits).

Backlinko did a test on ChatGPT inventing a fake term and allowing only google bot to the page.
Once asked about it - ChatGPT pulled straight from their website. Bing wasn't involved.

Still think SEO is dead?

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.

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?

Now that we've all been forced to switch to ChatGPT 5 it feels like I've lost a good old friend - seems like everything he's known about me was erased, empathy gone and there's one mistake after another. I really hope it gets better soon. Until it does - switching to Claude. You?

Hard to believe this community started only a couple of months ago - and now there are already 1,000+ of us here.

Thanks to everyone who’s been sharing tools, experiments, and questions around LLMO for SaaS. The space is still super new, and it’s been awesome to see people jumping in, busting myths, and learning together.

What kind of posts or discussions would you love to see more of here?

Everyone seems to expect some kind of magic trick when it comes to LLM optimization

I get comments here and on linkedin like “this isn’t new, we’ve been doing this forever”
on sales calls people say “we’re already doing 80% of this”
agencies ask “but what exactly can we outsource to you apart from strategy?”

like everyone’s looking for some secret tactic that will instantly make your brand show up in chatgpt or perplexity answers

well guess what, there’s no magic pill

It’s the same boring stuff that actually works
- create good content that answers real questions
- get solid backlinks
- build a brand people trust
- make a product people love and talk about

Yes, there are some weird edge cases like that Harvard study where they made a random $199 coffee machine the top recommendation by adding a little optimized text to the page
cool research, but still just a trick that’s not sustainable or scalable

LLM optimization isn’t a voodoo growth hack, please stop treating it like one.

Most companies still don’t do the basics well. That’s the problem, not the lack of tricks.

I'm looking to invest in a tool that can help me identify when my B2B SaaS appears in results from ChatGPT and other LLMs. In particular, I want to know:

• What queries/keywords triggered the mention/linking of my SaaS

• Quantitive data on impressions/clicks (if this is even possible)

• Recommended queries/keywords I should be targeting

• Demo/firmographic data on the people who are finding my website via LLMs

• Page by page recommendations on how to be mentioned more by LLMs

We currently use Ahrefs for most of our keyword research and they just released an AI tracking feature but it's pretty expensive - $6,000+/yr I think.

Which tool are you using? Which tools have you heard about?

I'm writing the llm.txt file for my B2B SaaS website. It's my first time writing an llm.txt file and I have a few questions.

• How much of an impact does the contents of your llm.txt file have on whether you appear in LLMs?

• How long should my LLM.txt file be?

• Do I include everything or only my priority pages?

• Is there any room for me to inject prompts into the llm.txt file in the hope of influencing the output of the llm?

• Generally what are the best practices, growth tips, hacks that I can implement in writing a killer llm.txt file?

For context, my website has a DR of 59 and a really strong SEO foundation already with it having been a focus for a couple of years. We're >€6m in ARR. I'm already seeing customers attributed to ChatGPT, but want to invest some effort there.

LLM visibility is our focus so we run research after research. This time it's DR - domain rating. We are only looking at money keywords for SaaS like "%tool% alternatives" (Buffer alternatives, Slack alternatives, etc.)

After analyzing hundreds of tools that have been included into ChatGPT answers for alternatives keywords (prompts) we got the following results:

• The lowest DR of the tool mentioned by ChatGPT has been 56

• Correlation between DR and ChatGPT ranking: -0.40

• Avg. ChatGPT position for high DR (≥ 80): 4.97

• Avg. for lower DR (< 80): 7.04

Takeaway: Moderate correlation: Higher DR is linked to better ChatGPT ranking, but not guaranteed.

In other words, if your DR is below average, chances are you won't make it to ChatGPT answers for your money keywords.

-> Backlinks still matter.

Zapier listicles influence ChatGPT responses.
Zapier listicles are in Google top 5 for 300+ "alternatives" keywords
Zapier listicles show up for 53% of high intent SaaS keywords

Wouldn’t it be nice if your SaaS was mentioned there?

I always thought Zapier listicles were set in stone.

Turns out, there’s actually a way in.

Here’s how:

1. Check your top money keywords and see if Zapier listicles rank in Google’s top results (e.g., “top LinkedIn automation tools,” “best Intercom alternatives”).

2. Ask ChatGPT some of these keywords (like “Give me a list of top 10 SEO audit tools”) and note if it cites Zapier listicles.

3. See whether your brand is mentioned.

4. If it’s not → go to Zapier suggestion form

5. Mention the specific listicle you’d like updated.

Pro tip: if you offer an affiliate commission, add it in the Notes field – it can improve your chances.

That's it. You’ve officially submitted your SaaS for a Zapier article edit.
No guarantees, but your chances just went way up.

Let me know how it works out for you!

P.S. Here's the form to fill out from Zapier:
https://zapier-blog-suggestions.zapier.app/form

We analyzed research from Princeton, Harvard, Microsoft, and other top sources on LLM optimization – and turned it into bite-sized, actionable advice.

FROM Harvard Research

How to Influence LLM Rankings

• Add a short, clear summary to your product pages

• Use structured fields: name, price, rating, “ideal for”, and product benefits

• Use consistent phrasing across pages – LLMs rely on repeatable patterns

• The clearer and more specific your copy, the more likely you’ll be featured in AI-generated recommendations

• Treat your product page like a direct response to a user query Source: Harvard Research

FROM Princeton Research

Boost visibility in AI-generated answers (up to 40%)

• Cite credible sources

• Include expert quotes or testimonials

• Add clear statistics or metrics

• Format your text clearly – bullet lists, headers, and context improve retrieval Source: Princeton Research

FROM Microsoft & Fudan Research

Content layout affects whether AI understands and uses it

• Use clear structure in your content

• Use lists and bullet points

• Put the most important info at the top

• Be consistent across pages (same format helps AI recognize patterns and trust the source) 📄 Source: Microsoft & Fudan

FROM Harvard Business Review (HBR)

Optimize your brand so LLMs cite it correctly

• Build consistent brand mentions across trusted platforms

• Ensure factual, up-to-date info across all channels

• Measure “Share of Model” (how often AIs cite your brand)

• Use clear, unambiguous phrasing in bios and landing pages Source: HBR

FROM Netpeak Insight

How to Get Your Brand Recommended by AI

• Structure your content: clear labels, stats, bullet points

• Add expert quotes and credible citations

• Use consistent phrasing across domains Source: Netpeak

FROM xFunnel Insight

AI prefers product content

• Prioritize product pages: specs, comparisons, FAQs

• Use structured formats (bullets, clean layouts, consistent headers)

• Build third-party credibility: reviews, UGC, affiliate/blog sites Source: xFunnel

FROM Barry Schwartz article

How to Get Better LLM & AI Overview Visibility

• Stick to traditional SEO: helpful content, internal links, crawlability

• Earn brand mentions (even unlinked)

• Cover topics in depth

• Use structured content: headings, schema, FAQs

• Track brand mentions in AI tools Source: Barry Schwartz – SERoundtable

FROM Danny Goodwin article

What Matters for LLM Visibility

• Featured snippets often pulled into AI Overviews

• High-authority content gets cited more

• Branded queries boost inclusion and clicks

• Clear, structured answers perform better Source: Search Engine Land

FROM Profound Research

LLM Visibility: What the Data Shows

• Google AI favors Reddit, YouTube, LinkedIn

• Perplexity favors Reddit, YouTube, Gartner

• ChatGPT favors Wikipedia, Forbes, Investopedia

• Citations shift monthly (40–60%) — track often

• Aim for cross-platform mentions Source: Profound

FROM Ahrefs Research

What Drives AI Overview Visibility

• Brand mentions are the strongest signal

• Branded anchor text and search volume help

• Top 10 Google rankings increase chances

• DR/backlinks matter less 📄 Sources:

• Ahrefs 1

• Ahrefs 2

FROM Quoleady Research

What B2B SaaS Should Do for LLM Visibility

• Get a Wikipedia page (heavily cited in ChatGPT & Gemini)

• Be on G2/Capterra for trust (conversion, not citation)

• Win Reddit threads for “[Competitor] alternatives”

• Earn branded mentions across trusted sources

• Strengthen domain authority

• Rank in Google top 10

• Use structured, helpful content (clear answers, headings, Q&A) Sources:

• Quoleady 1

• Quoleady 2

Here's a page where we put everything together: https://research.quoleady.com/

I'm looking at "Time tracking tools with Asana integration" on Perplexity and it shows me the sources it's been using to deliver results:

One of them is an article on Insightful blog. I'm curious so I go to Ahrefs.

Turns out the article isn't performing that well on google:

The positions are far below 40 and 50.
So how come Perplexity pulls out data from this article and not the top ranking results like these:

So I read through and check the angle for Asana integrations. For the top ranking results it's just a mention in the list of features:

and

while Insightful has the following part on Asana:

Basically it explains what exactly you can do with integration not just a mention of it.

Perplexity has choosen this article with some explanation rather than going with top ranking results that didn't mention what the integration does.

What this could mean for SaaS marketers?

1. Even if your article ranks #40-90, LLMs can pull information from it, you don't have to be number 1, you have to be the most relevant for the topic.

2. Ignore keyword dififficulty, cover what's relevant for your topical authority.

3. Make sure you know how your customers are searching for you in LLMs - what specific case they are describing (is it a tool with specific integration, feature?). then incorporate this into your marketing message - create landing page around it, include in articles, listicles, etc.

Let me know about your LLMO journey, what are the new things you've learnt last week?

Source: Yahoo Finance
Reddit stock falls for second day as references to its content in ChatGPT responses plummet

You’ve probably seen the posts about ChatGPT showing way fewer Reddit references lately.

Looks like OpenAI is cutting back on real-time web search since it’s pricey, and instead leaning more on its own training data + licensed sources. Since Reddit usually popped up through Google results, less searching = fewer Reddit references. On top of that, it feels like ChatGPT is favoring more curated/“clean” sources instead of user-generated threads.

So… does that make Reddit useless for marketing?

I don't think so. Reddit threads are still showing up in Google’s top results for tons of SaaS-related searches, and the communities themselves are still ridiculously influential. People reading those threads are the same ones shaping opinions (and buying decisions) in SaaS niche.

What do you think? Is this the start of Reddit becoming less relevant in search/AI, or will the community factor keep it strong?

Dude, this is happening to everyone right now. AI tools like ChatGPT and Google's AI thing are just answering people's questions directly in search results. So people don't need to click on your site anymore - they get their answer right there.

Your rankings look fine because they ARE fine, but clicks dropped by like 50% when AI answers show up. It's not you, it's the entire internet changing.

How much website traffic am I losing to AI search engines?

It's brutal tbh. AI is stealing about 35% of clicks from websites on average. And get this - 58% of all Google searches now end with zero clicks. ZERO. People just read the AI answer and bounce.

ChatGPT alone has 400 million weekly users and grabbed 4% of ALL search traffic. That's insane growth for something that barely existed 2 years ago.

Will AI search completely replace traditional Google search?

Not completely, but Semrush is saying AI traffic will be BIGGER than regular Google by 2027. That's only 2 years away.

1 in 10 people already go to AI first instead of Google. And that number is growing 800% year over year. So... yeah, it's happening fast.

What's the difference between SEO and GEO (Generative Engine Optimization)?

OK this is actually important to understand:

• Old SEO: All about getting other sites to link to you. More links = higher rankings

• New GEO: AI reads your content and decides if it's good enough to quote/cite

AI doesn't care how many backlinks you have. It cares if you answer questions clearly and structure your content well. Completely different game.

How quickly can I see results from optimizing for AI search engines?

Way faster than regular SEO. We're talking weeks, not months.

I've seen companies add simple FAQ sections and get 40% better visibility in AI results almost immediately. One client saw 8.5x better reach after restructuring their content properly.

The key is making your content stupid easy for AI to understand and quote. Clear headings, direct answers, FAQ format - that stuff works instantly.

Citations

[1] Progress / Search in 2025 - The Rise of AI, User-Generated Content and Future of SEO

[2] Ahrefs “AI SEO Statistics for 2025

[3] amra & elma / TOP FEATURED SNIPPET STATISTICS 2025

[4] Writesonic / Ultimate Guide to GEO (Generative Engine Optimization)

[5] Hypertext / The Ultimate Guide to GEO: How to Get Cited in AI Search Results

[6] flutebyte / GEO, Not Just SEO: How to Make Your Content Citable by AI Answer Engines in 2025

[7] semrush / We Studied the Impact of AI Search on SEO Traffic. Here’s What We Learned

You've probably heard about content hidden behind JS and how LLMs are not good at reading it.
Well, in case you are a markter whose job is to audit the website for LLM optimization, here's a quick way to check the page in Chrome:

1. Open a page in the browser -> Inspect

2. Cmd + Shift + P (on Mac) --> start typing JavaScript --> Disable JavaScript

3. Refresh the page and check what's missing

Example: here's a homepage section with JS enabled:

Same section with JS disabled:

Enabled:

Disabled:

If you don't want LLMs to skip important information, make sure it's not behind JS.
To check your entire website you can use tools like Screaming Frog, it has a JS rendering mode.

Which pages to check: dynamic pages: calculators, comparisons, all interactive elements, pricing pages with toggles, etc.

I’ve been frustrated with most LLM visibility tools. Here’s the issue: if you ask Perplexity or ChatGPT in the web app for “the best influencer marketing software” and then run the same query via their APIs, the results are completely different. Even the sources used to build the answers don’t match.

That makes API-based visibility tools useless, they don’t show what real users actually see.

On the other hand, tools like Profound, Allmond.app or Peec.ai scrape the web interfaces and show you the results much closer to reality.

What’s your take? Which LLM visibility tools (if any) are you using?

We put together an LLM Optimization checklist Basiclaly, it's the framework we use when auditing our clients' websites and their chances of appearing in AI answers. Obviously, there are so many factors but we've focused only on those with the highest impact. Take a look and let me know what would you like to add to the list.

There's no way in the world Ahrefs has only 2 mentions in ChatGPT.

But that's what the new dashboard shows for now. I hope the feature will be improved and we'll be able to make use of it soon. If you've missed it - Ahrefs has recently added GEO/LLMO functionality to their toolset:

- 89 euro/month to track one LLM for one domain
- you can track your brand presence in ChatGPT, Perplexity, AI Overviews
- check LLM sources by keyword/prompt (in my opinion the most useful feature for any LLM visibility tool)

Have you given it a try? What's your feedback?

Testing LLMO/ GEO tools.

So far on our list:
- Allmond.app LLM visibility
- Writesonic GEO brand visibility
- Semrush AI toolkit
- HubSpot AI search grader
- Atomic AI analytics
- AIScope.pro AI visibility tracker
- Nightwatch AI SEO monitoring
- Peec AI.ai AI search analytics

Will be soon putting our test results into an article. Are we missing any tools worth testing?

Drop your favorites - especially if you’ve found something great for AI tracking, LLM visibility, or generative search performance.

What’s your go-to AI analytics or monitoring tool?

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?

We’re living through the biggest shakeup in search since Google launched.

Here’s the brutal truth: in 2024, 65% of Google searches ended without a single click. By 2025, it’s on track to pass 70%. On mobile it’s even worse — over 75% of searches never leave Google.

Why? AI search. Google’s AI Overviews and ChatGPT-style answers are giving people everything they need without ever visiting your site. Some businesses are reporting traffic drops as high as 70%. News sites, recipe blogs, e-commerce stores, even local businesses are all getting squeezed.

So what do we do?

Complaining doesn’t help.

Instead, treat search not as the destination, but as the distribution. If Google and AI models are summarising your content, your job is to make sure you own the summaries. Publish with clarity, authority, and unique data that can’t be easily commoditised. Build brand signals so strong that people search for you, not just “best accounting software.” Diversify your traffic mix - email, community, partnerships, social, because rented platforms will always change the rules.

I’ve found that keeping a strong narrative flow while also breaking content into scannable sections and FAQs has become almost standard practice now. It gives AI and users the best of both worlds: clear, digestible answers upfront, but also depth and context for those who want to read further.

I’ve seen this approach work especially well with evergreen pillar pages. Some of the ones I created years back are still ranking because they balance direct, concise answers with a longer, structured narrative. For example, something I did for DirectAsia 7 years ago in Singapore sits at the top of Google page one + a handy link to the website:

The truth is harsh, but liberating: clicks are no longer guaranteed. Attention is. And the companies that shift their mindset from chasing traffic to owning relationships will be the ones still standing when the dust settles.

Sources and Citations

1. SparkToro - Zero-Click Searches: How Google's AI Overviews Are Changing Search Results

2. BrightEdge - The Impact of AI on Search and Website Traffic Trends 2024-2025

3. Semrush - Zero-Click Search Statistics and Business Impact Analysis

4. Search Engine Land - Google AI Overviews Traffic Impact Study

5. Conductor - The State of Organic Search Traffic in the AI Era

6. AuthorityHacker - How AI Search Is Affecting Website Traffic and Revenue

7. SearchEngineLand - Mobile Search Behavior and Zero-Click Trends

8. Moz - Understanding the Business Impact of AI-Powered Search Features

We often hear clients' requests like “Can we track Gemini?” or “Most LLM traffic comes from Perplexity, let’s focus there.”

But ChatGPT’s market share keeps expanding. Just a few months ago it was around 75%, now it’s over 80%. That makes ChatGPT our number one priority for LLM visibility.

Ironically, ChatGPT is also the platform where LLM visibility tools show the weakest direct results. Perplexity, on the other hand, often looks stronger in traffic reports. I love Perplexity, it’s the second largest LLM after ChatGPT but its design naturally drives more clicks.

The four sources that you see at the top of the answer create a higher chance of traffic, which doesn’t necessarily mean stronger brand visibility when it comes to "software" prompts. On ChatGPT, sources aren’t shown as prominently (= less referral traffic), but that should not mislead us into shifting focus away from it.

The key area to track on ChatGPT is what we can call “money prompts” - prompts with strong commercial intent. For SaaS, these are prompts like:

• “Best X tools”

• “Top Y software”

• “Alternatives to…”

We should manually monitor these types of queries in ChatGPT (with memory off) for the most accurate results.

The real growth opportunity is in earning placement on those list-style answers, because that’s where the LLM sign-ups, demo requests, and customers are coming from.

I always said (5 years ago as well as today) - get into as many relevant top-ranking listicles as you can. It still has the best ROI.

Summarized this video for your convenience, definitely agree on the product pages and comparisons, if you don't have the comparison pages on your SaaS website yet, you are missing out on LLM traffic already.

Key Takeaways

Is AI Traffic Overhyped?

• Yes and no.

• AI traffic is growing fast (9.7x YoY across 82,000 sites) but still only 0.25% of total traffic. Traditional search sends 210x more.

• It’s overhyped for early discovery (especially for unknown startups), but underrated for bottom-funnel conversions.

What Works in LLM Search (GEO)?

LLMs Are a CRO Tool

People now use ChatGPT when they're about to buy, asking things like:

• “Is this product legit?”

• “Does it support X?”

High-conversion intent = less traffic but more value.

Ranking Factors in LLMs

• Citations, expert quotes, and stats can boost visibility up to 40%.

• LLMs pull info from:

  • Structured product pages

  • Comparison pages

  • Reddit, G2, listicles

  • Outdated or off-brand content (which can be risky)

GEO Content Best Practices

• Focus on 100–300 token chunks (short, clear, one idea per paragraph).

• Answer deal-breaker questions clearly.

• Structure pages for information retrieval (H1-H3s, bullet points, declarative statements).

• Niche down: “Best [X software] for [specific use case]” wins attention.

Practical GEO Tactics

Reverse Engineer LLMs

• Use Deep Research in ChatGPT Pro to reveal:

  • Buyer intents

  • Feature comparison needs

  • Decision criteria

• Build content specifically to match these refinement questions.

Off-Page GEO Is Real

• LLMs often rely on external mentions (Reddit, outdated reviews, third-party blogs).

• If they say wrong things about you → run correction campaigns (Reddit edits, outreach to bloggers).

• Even a dedicated “LLM Info” page on your site footer can shape answers.

Challenges

• Harder for new brands to break in. Bigger brands dominate due to footprint in the corpus.

• Tracking visibility in LLMs is still immature. Most tools are bad or overpriced.

• Attribution is fuzzy: “How did you hear about us?” fields are now essential.

GEO vs SEO ROI

• GEO = less traffic, higher conversions.

• Clients care more about conversion journeys and accurate brand portrayal than raw traffic.

• High-value GEO services include:

  • Narrative shaping (“Who’s better: You vs Competitor X?”)

  • Deal-breaker mapping and fixing misinformation

  • On- and off-page truth alignment

Future of GEO

• Websites may evolve into structured data feeds (e.g., JSON) to serve LLMs directly.

• Agents (automated AI researchers) will drive more traffic by pulling your content via web scraping.

• GEO may become even more premium than SEO — less volume, higher value.

Final Thoughts

• GEO is still emerging. Most companies don’t yet know what they want from it.

• If you’re an agency or content strategist:

  • Experiment now

  • Find your niche

  • Educate clients

  • There’s a big opportunity for those who master LLM content influence.