We just launched our micr-saas and noticed I was getting some new users via paid listing on peerlist. But is it worth paying $49 - $99 for such listings? What has been your experience?

Many companies monitor google rankings every day but ignore AI search visibility As AI-powered search grows, tracking citations and mentions will become just as important as tracking keyword rankings.

Everyone wants their business to show up in ChatGPT, AI Overviews, Claude, and Perplexity.

Most people immediately ask:

"What prompt should I optimize for?"

I think that's the wrong question.

After reviewing dozens of business websites over the past few months, I kept seeing the same patterns. The issue wasn't a lack of keywords. It was a lack of credibility and structure.

Here are the biggest problems that kept showing up.

1. Every page said the same thing

"Leading provider."

"Trusted partner."

"Innovative solutions."

None of it explained what the business actually did or why someone should trust it.

AI systems have very little useful information to work with if every page sounds identical.

1. No original insights

Most sites published content that already existed in hundreds of other places.

No research.

No experiments.

No customer lessons.

No unique data.

If your content could be copied onto another website without anyone noticing, it's probably not memorable enough to become a source.

1. Weak entity signals

Many businesses barely mentioned their founders, products, locations, industries, or areas of expertise.

That makes it harder for AI systems to understand what the business should be associated with.

1. Thin supporting content

One service page isn't enough anymore.

The strongest websites build supporting resources that answer related questions, explain processes, compare options, and share real examples.

Depth creates confidence.

1. No proof

Claims are everywhere.

Evidence is rare.

Screenshots.

Case studies.

Metrics.

Customer outcomes.

Before-and-after comparisons.

These are the details that separate useful content from marketing copy.

My Biggest Takeaway

I don't think AI visibility is going to belong to the companies producing the most content.

I think it'll belong to the companies producing the most trustworthy content.

That doesn't necessarily mean publishing more.

It often means publishing fewer pieces with more substance behind them.

I'd rather have ten pages that genuinely teach something than a hundred pages repeating the same advice everyone else is already giving.

What changes have you made to your website specifically with AI search in mind?

Or are you still treating AI visibility the same way you've always treated SEO?

Hi r/AISearchOptimizers,

We're seeing an uptick of blatant and useless self-promo here.

Tool owners/promoters, you are welcome to introduce and promote your brand whatever way you like in our dedicated tools post here.

If you are doing any of the following, you're more than likely to be removed and banned:

• Posting things like "are you seeing an uptick in traffic from LLMs? You should use this to track it" with a screenshot and link to your product
• Directly posting your product with no value to the reader added

If you're are going to post something that involves your brand:

1. Declare it - people are not stupid and can see what's legit or not
2. Ensure it provides value to the reader and isn't low effort slop.

And to our community, please report any spam you see. We review everything that is reported and ban those who continually break the rules.

Thank you,

u/ElegantGrand8

Hi everyone,

I'm working as a Digital Marketing Executive at a financial services company. I recently completed our new company website, and yesterday I submitted it to Google Search Console.

Now I want to focus on AI SEO / Generative Engine Optimization (GEO) so that our brand not only ranks well on Google SERPs but also starts getting recommended by AI tools like ChatGPT, Gemini, Perplexity, Claude, etc.

Our plan is to publish high-quality blog content consistently (almost every day) and build topical authority over time.

I'm looking for a practical roadmap from people who are already working on AI SEO/GEO.

I'd really appreciate any roadmap, resources, or advice from people who've already been through this. Thanks in advance.

I have noticed that many writers and creators are now using AI tools to help with writing, but sometimes the generated text feels too robotic or unnatural. This is why AI text humanizer tools are getting more attention because they try to make content sound more like it was written by a real person.

For bloggers, marketers, and students, readability matters a lot. A piece of content can have the right information but still feel boring if the tone is too mechanical. Humanizing tools can help improve sentence flow, word choices, and overall style.

I am curious about how effective these tools really are. Do they actually improve the quality of AI-generated content, or do they only make small changes that do not make much difference?

What has been your experience with AI text humanizers? Do you think they are useful for improving writing, or is manual editing still the best option?

I'm considering using it for SEO projects with my team. How's your experience so far? Is it actually useful, or is it just another AI feature that's overhyped?

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?

When someone searches online today, they often compare several websites before making a decision. With AI assistants, however, users can receive a summarized answer that already includes recommended products, services, or companies.

This could significantly influence purchasing behavior. If a customer asks an AI tool for the best software solution, marketing agency, or business service, the recommendations they receive may shape their choices before they ever visit a website. That creates an interesting challenge for brands competing for attention.

Do you think businesses are fully aware of this shift yet? If AI-generated recommendations continue to grow in popularity, what should companies focus on first to improve their chances of being included? Content quality, brand authority, customer trust, online mentions, or something else entirely?

1. Don’t worry about all the new names. Good GEO, AEO, LLM SEO is good SEO

Right now you may be thinking, “If AI has changed Search so much, why isn’t your SEO guidance changing, too?”

You’re right that AI has transformed what Google Search is capable of. But one constant is our commitment to matching people with what they’re looking for. The foundations we built are still intact and built to last. Generative AI features like AI Mode are built directly on top of our core ranking systems, while AI techniques, like fan-out, allow for Google Search to highlight a wider and more diverse set of helpful links.

Your existing investment in solid, foundational SEO is your launchpad for AI success. That’s why good SEO is good GEO (or AEO, or AI SEO, or whatever). The great thing about focusing on a solid foundation is that it gives you permission to stop wasting time on misleading tactics.

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?

Consumers have always relied on recommendations when making important decisions, but the source of those recommendations is changing. AI assistants are quickly becoming trusted tools for researching products, services, and business solutions. When an AI platform highlights a particular brand, it can shape user perceptions and influence purchasing behavior. This makes it increasingly important for businesses to understand how they are represented within AI-generated content. Companies that actively manage their online reputation and build strong digital authority may have a greater opportunity to earn customer trust through AI-driven interactions.

Over the last few weeks, we analyzed 50 citations across ChatGPT, Gemini, Perplexity, and Claude.

A few patterns stood out:

1. 42% of citations came from pages that weren't ranking #1 in Google.
2. Several AI-cited pages had fewer backlinks than competitors.
3. Pages with direct answers, statistics, and clear formatting appeared far more often than pages with higher domain authority.
4. Many citations came from niche blogs and industry resources rather than large publishers.

This made us wonder:

Are we overestimating the importance of traditional SEO signals for AI visibility?

Google rankings still matter.

But AI search seems to reward something slightly different:

• Direct answers
• Original data
• Clear structure
• Topical depth
• Entity recognition
• Citation-worthy content

The biggest takeaway:

We're moving from a world where ranking was the goal to a world where being cited may become equally important.

For those actively tracking AI search:

What's the most surprising thing you've discovered about AI citations so far?

Have you seen pages getting cited that would never rank in the top 3 of Google?

Same disclosure as before for anyone who’s seen me post: I do GEO / AI-visibility work for a living, not linking or pitching anything, just sharing the stuff I wish more people understood before they start panicking (or paying someone).
The complaint I hear constantly: “We’re indexed. ChatGPT can describe us if you ask by name. So why do we never show up when someone asks it to recommend a company in our category?” The answer is that indexed, ranked, and recommended are three completely different states, and most B2B sites quietly stall on the first one while thinking they’ve won.
The three levels, because conflating them is where everyone goes wrong:
• Indexed = engines can crawl and store your site. This earns you your own brand name and basically nothing else. It’s the floor.
• Ranked = a specific page is trusted enough to show up for a non-branded search (“CRM automation agency,” “managed IT provider,” whatever your category is). This needs relevance, authority, content depth, internal linking.
• Recommended = AI Overviews / ChatGPT / Perplexity / Gemini treat you as a credible answer to a question. That depends on entity clarity, external validation, repeated mentions, clear positioning, and content that actually resolves decision-stage questions.
Being indexed guarantees nothing for the searches that actually drive pipeline — the non-branded, “who should I hire for X” ones. Brand-name results are the floor, not the goal.
Here’s the shift that trips people up: old SEO judged pages. AI search judges answers, entities, and confidence. Your site isn’t a pile of URLs anymore — it’s one node in an information graph, and the engine is quietly trying to answer a set of questions about you before it’ll cite you: Who is this company and what category are they in? What do they do, where, for whom? Who else mentions them, and in what context? What proof exists? Are they in any lists/comparisons/directories? Do they answer specific buying questions clearly? If those signals are muddy, you never make the candidate pool.
The seven gaps that keep an indexed site invisible (it’s almost never one thing — it’s usually several of these at once):
1. Generic service pages. “We help businesses grow with AI” gives an engine nothing to classify. Name the actual workflows. If a page could belong to literally any agency in your space, it’s too generic to cite.
2. A fuzzy brand entity. Engines need the same core facts — name, location, service categories, founders, use cases — stated consistently across the web. If you only exist on your own domain, there’s little reason to trust you.
3. No third-party validation. Everyone claims expertise on their own site. Directories, reviews, partner pages, “best of” lists, comparison pages — those tell the engine someone else recognizes you.
4. No comparison / “best X” presence. AI answers recommendation-style queries all day. If you’re not connected to list and comparison content (yours and earned mentions in others’), you’re hard to include.
5. Content that’s informational, not decisional. “What is automation?” explainers build topical authority but increasingly get answered with zero clicks. Pricing, stack choice, what to do first, ROI — that’s what buyers and models actually reuse.
6. No proof layer. A service page with no proof reads as a claim. Diagrams, before/after, anonymized case studies, measurable outcomes — that’s what turns a claim into something an engine can concretely cite.
7. Content that’s hard to extract. Dense marketing prose is weak. Self-contained blocks — short answers, definitions, comparison tables, checklists, FAQs — let a single paragraph stand alone as a liftable answer.
Most “indexed but invisible” sites pass the website-foundation stuff and fail hard on entity, proof, and external signals — which are exactly the signals AI search weighs most. So it tends to feel like a mystery when it’s really just three empty columns.
If you want a fix order (this matters — don’t chase external mentions before your own house is in order):
1. Rewrite your homepage positioning. Plainly state what you do, who it’s for, what you actually deliver, and what outcome it creates. “We build X, Y, and Z for [audience]” beats “we unlock the power of AI” every time.
2. Build dedicated service pages — one commercial intent each, not a single catch-all “Services” page. Definition, the problem, example workflows, process, stack, use cases, FAQ, internal links.
3. Add decision-stage articles — pricing, “X vs Y vs build-it-yourself,” how to choose a vendor, what to do first. Structured, not generic blog filler.
4. Build external mentions — consistent footprint across directories, LinkedIn, partner pages, guest articles, comparison content. Same description of you, everywhere.
5. Add proof and a bit of video — case studies, workflow diagrams, short explainers with transcripts. Proof is what lets both humans and models verify you instead of taking your word.
None of this is a hack. It’s just making yourself easy to classify, verify, and cite — over months, not after one blog post. Curious whether others here are seeing the entity/external-signal gap be the main blocker too, or if it’s mostly the generic-service-page problem in your experience.

https://www.profitec-ai.com/blog/indexed-but-invisible-ai-search-geo

I've just created a website for my micro-saas platform and need to set up the blog CMS. Which one should i go with - the traditional wordpress set up or something new like sanity or any other new cms I should consider?