I’ve been testing out a few different saas tools lately, but most of them just give me a generic checklist that I could have found on any blog. I’m looking for ai seo services that go deeper, specifically ones that can analyze site architecture and identify semantic gaps without me having to manually cross-reference every competitor. I need something that provides actionable strategic insights. Has anyone found a tool or service that actually lives up to the AI hype and saves time on the strategy side?

Most of us interact with AI in a one-on-one way. We ask a question, and we get an answer. But what if instead, you could watch multiple AI systems compete to give the best answer or solution?

Would seeing that competition make you trust AI more, or less?

On one hand, it adds transparency you can compare responses and see different approaches. On the other hand, it might expose weaknesses, biases, or unexpected behaviors.

Do you think live AI competitions could change how people perceive and trust artificial intelligence?

Hello guys! I’m currently auditing our toolkit to see what’s actually moving the needle for AI visibility this year. Right now we’re mostly relying on Ahrefs for keyword gaps and Screaming Frog for our site structure audits, but those feel like they’re strictly for traditional Google rankings.

I’ve been testing out HeyEmmett lately to handle the AEO/GEO side of things. It’s been helpful for automating the technical citation hooks and schema that the LLM crawlers actually look for, which is a lifesaver since I don't want to mess with the code manually every time. I’m also looking into Perplexity Pages and AnswerThePublic to see if they help with the research side of AI answers.

Is anyone else using a similar combo, or have you found a better way to bridge the gap between traditional SEO and AI citations? I'm trying to figure out which of these are essential and which are just overkill for a small team.

If AI tools are becoming a primary source of information, then being included in their responses is no longer optional it’s essential. But improving visibility here doesn’t seem as straightforward as traditional marketing strategies.

It likely involves a combination of factors: clear messaging, consistent presence across platforms, and strong associations between your brand and specific topics. The way information is structured might also play a major role.

This shift suggests that businesses need a more strategic approach one that focuses not just on human audiences, but also on how AI systems interpret and prioritize information.

The real question is: are brands ready to adapt to this new reality, or will they continue relying on outdated strategies while others move ahead?

When AI tools recommend certain brands, there must be a level of trust involved in that selection. But what exactly builds that trust? Is it the frequency of mentions, the quality of content, or the consistency of information across the web? It seems like AI is forming its own version of credibility, one that may not be immediately visible to businesses. This raises the question: how can brands align themselves with what AI considers trustworthy?

I’ve noticed that some companies appear naturally in AI conversations, almost like the system instantly understands what they represent. Other brands, even large ones, rarely show up. Maybe AI tools respond better to brands that stay focused on one area instead of trying to cover everything. Clear positioning and direct communication might make it easier for AI to connect brands with user questions. What do you think makes a brand more recognizable to AI systems?

We started noticing our keywords triggering AI Overviews and Chatgpt results more than traditional SERPs. Clearly we need a way to track this properly but the tool landscape is overwhelming. What are you guys actually using?

A few months ago I noticed something weird.

Whenever I need quick information now, my brain immediately says:
“Ask AI.”

Not:
“Search Google.”

The change happened so quietly that I didn’t even realize it at first.

Feels like we’re watching a major internet behavior shift happen in real time.

Not ranking.

Mentioned.

That’s the part I think people are missing.

Users don’t always click websites anymore.
They just trust the recommendation list AI gives them.

Which means visibility is becoming more about inclusion than rankings.

Traditional SEO metrics feel incomplete now. Are you tracking AI citations, prompt visibility, AI Overview appearances, or something else?

We tried running audits across a few hundred URLs and quickly ran into issues.

Results fluctuate a lot between runs, and it’s hard to tell what actually changed vs what’s just noise.

Tried a few things like limiting runs, scripting batches, focusing on key pages, but nothing feels very reliable so far.

Curious how others deal with this in real setups?

Do you just ignore small changes, average results, or track something else entirely?

Sometimes a brand appears.

Next day it disappears.

Then it comes back for another query.

There are no clear rankings like Google search, which makes the whole thing feel chaotic.

I think we’re still very early in figuring out how AI recommendations actually work.

9.

Tested this recently.

The pages using:

• simple explanations
• direct answers
• conversational tone

seemed to appear more often in AI summaries than overly optimized SEO-style content.

Feels like AI prefers clarity over “smart sounding” writing.

Traditional rank tracking feels incomplete lately. I care more about whether ChatGPT/Perplexity mention the brand than being #3 for a keyword.

In my challenge of measuring the leads coming from LLMs, I configured G4 to street measuring the source session. All good from there, but most of the data, the number 1 source is “not set”.
Reading about this, there are people saying is a “google bug” and it can be fixed with “cookies”.

Anyone knows about this?
Thanks !

I used to search:
“best project management tools”
“best editing software”
“best hosting”

Now I just ask AI directly.

No ads.
No scrolling.
No 5,000-word SEO article.

Honestly feels more efficient… but also kind of scary for websites depending on search traffic.

People are no longer “searching.”

They’re asking.

That changes everything:

• how businesses get discovered
• how users make decisions
• how traffic works
• how trust works

Feels like we’re watching the beginning of a completely different internet experience.

Nobody really knows:

• what works consistently
• how visibility is calculated
• why some brands appear repeatedly

Feels like the entire industry is testing and learning in real time.

Honestly exciting to watch.

My team and I have tested a bunch of GEO tools during the last few months, we had different clients with different needs and were looking for a tool that adds the most value, affordable and reliable.

Here are our findings and I am not going to tell you which one we have chosen so you can make up your own mind based purely on the pros and cons.

Important context: we hoped to find a tool that tracks mentions accurately, then we realized that this is impossible. There is no such thing as accurate mention tracking in AI search. LLMs are not deterministic duh

We then changed our criteria and started looking more at robustness, usefulness ability to connect with other apps and ease of use. Mention tracking is good for benchmarking over time and on scale, but not for making decisions based only on what the dashboard shows.

This also means every dashboard will give you different results. Do not be fooled by it and use this data with caution. In general I think the key is to combine a few data sources, really analyze them, and then make a decision based on experience.

1 - Peec AI

We tested it first. Their name was all over and it was kind of an obvious choice. Also what appealed to us was the tracking method. They scrape search data to identify how people search and then use it to test queries.

Peec AI is a solid tool. It is really intuitive and easy to use. Probably one of the easiest to get into.

Pros:

• very clean UX
• easy to onboard and start getting data quickly
• decent competitor view
• sentiment is there and easy to understand on a high level
• good if what you want is a straightforward visibility dashboard

Cons:

• it is mostly a monitoring tool and the claim that scraped search data is somehow more accurate than other methods is annoying, it is simply incorrect
• you get signals but not much help on what to actually do next
• no real owning of the outcome
• no meaningful traffic / conversion connection
• like with all these tools, the mention data itself should be taken carefully

Bottom line: good clean tool, probably one of the best if you want simple monitoring and do not want something too heavy.

2 - LightSite AI

This one has a slightly different experience, not a dashboard but an agent you can chat with

This one felt like it is trying to own the outcome and not just show another dashboard.

It combines a few things that we think need to be combined if you actually want to make decisions:

• LLM mention tracking based on a mix of scraping and API style collection
• bot traffic analytics
• Sentiment analysis with NLP
• human visitor analytics from LLMs
• page level analytics
• technical data layer for the website - mostly useful for analytics
• an agent that sees all this data, analyzes it and helps do something with it
• connects to GSC and Analytics data and some other apps

It did not feel like “here is your chart, good luck”. It felt more like “here is what is happening, here is what matters, here is what I can do for you next”.

You can connect more real business data into it, including traffic and search data, and then the system can actually identify opportunities, create content ideas, spot listicles, suggest outreach and in some cases even prepare the outreach.

That is a different category of product in my opinion.

Pros:

• pretty holistic view
• combines technical side and content side
• tracks both bots and humans, which is important
• closer to actual outcomes and not only visibility
• agentic experience is strong - it writes good content, find listicle oportunites and creates outreach campaigns and executes them (this was was very cool)
• feels like a system that analyzes your data rather than just storing it in charts
• best fit we saw for people who actually want help making decisions and moving

Cons:

• this is not a lightweight plug and play dashboard
• it requires website integration
• if you do not have a website or someone who can integrate it properly, this is probably not for you
• may be too much for people who want a visibility tracker

Bottom line: if all you want is a dashboard, this is probably overkill. If you want something that actually tries to improve the outcome and something more holistic and you have budget then

3 - Otterly

Otterly felt a bit more operational than Peec. Not in the sense that it does the work for you, but in the sense that it gives more substance around what might be wrong.

The GEO audit was probably the strongest part for us.

Pros:

• very solid audit
• good coverage across engines
• helpful for identifying technical and content gaps
• pricing felt reasonable for what you get
• setup was fairly easy

Cons:

• the UI is not bad but it feels more fragmented
• a lot of tables and views that are a bit disconnected
• still mostly observational
• no real owning of execution
• no real attribution to visits / pipeline / outcomes
• some things felt stronger in the docs than in the actual product

Bottom line: if your team already knows how to execute and you just want a pretty decent audit plus visibility tracking, this one is worth looking at.

4 - Profound

Profound felt more enterprise to us. More polished in some ways, but also more opinionated and less flexible.

It looked good. It felt premium. But for some of our clients it also felt like a lot of money for something that is still mostly around visibility and reporting.

Pros:

• polished product
• good sentiment analysis
• strong enterprise feel
• better than most at making the product feel serious and mature
• for large brands I can see the appeal

Cons:

• expensive
• has agents but they are mostly for creating dashboards, but the product direction is good
• less relevant in our opinion for smaller companies or scrappier teams
• not really built for people who want to move fast and do a lot themselves
• some of the more interesting attribution pieces seem more useful for bigger setups
• again, not really owning the outcome

Bottom line: if you are a bigger company and want a more premium enterprise style platform, it makes sense. For a lot of normal companies it felt too expensive for what it actually helps you do.

5 - Scrunch

Scrunch was interesting. Strong coverage, pretty configurable, and it felt like a serious visibility platform.

We liked that it covered a lot and that it gave more flexibility around prompts and setup.

Pros:

• broad platform coverage
• good configurability
• decent UI
• useful if you care a lot about monitoring across many engines and prompts
• more agency friendly than some others

Cons:

• still very much a monitoring first product
• not enough actionable guidance for us
• competitor analysis was fine but did not always explain why somebody else is winning
• you still need your own people and your own workflow to turn the data into action

Bottom line: strong monitoring tool, especially if breadth matters to you. But again, you need to bring your own brain, your own process and your own execution.

My overall take after testing all of this:

I think the market still confuses tracking with truth.

These tools are useful, but mention tracking alone is not enough and in some cases can be misleading if you take it literally. This is benchmarking data at best, still valuable but must be taken with a grain of salt.

The best tools in this category are not the ones with the prettiest charts. They are the ones that either:

1. help you understand what to do next
2. help you actually do it

That is how I would use if I were choosing today.

A few years ago SEO felt way more predictable.

You publish content.
Build backlinks.
Wait.
Rank.
Get clicks.

Now it feels like the whole thing changed quietly overnight.

I’ve been testing different types of searches recently and something interesting keeps happening:

Sometimes Google answers the query directly.
Sometimes Reddit threads rank higher than actual company websites.
Sometimes AI summaries remove the need to even click a page.

And honestly… I don’t think most businesses are ready for that shift yet.

What’s even more interesting is this:

The brands that keep showing up are not always the ones with the “best SEO” in the traditional sense.

They’re usually the brands that:

• get mentioned naturally across different platforms
• have real discussions around them
• appear in communities people trust
• publish content people actually reference
• build topical authority beyond just blog posts

Feels like search engines are slowly moving from:
“Who optimized best?”
to:
“Who seems genuinely trusted across the internet?”

Even backlinks feel different now.

I’m not saying links are dead at all. They still matter.
But a random DR90 placement doesn’t feel as powerful as it used to if nobody actually talks about the brand anywhere else.

I’ve also noticed that:

• Reddit discussions influence search results heavily
• niche forums are appearing more often
• branded searches seem more important
• AI tools pull information from multiple sources, not just top-ranking pages
• user signals and engagement probably matter more than most people admit

The weird part is that a lot of SEO advice online still sounds like it’s from 2019.

“Just publish more blogs.”
“Just build more links.”
“Just target keywords.”

But users are changing too.

People now:

• ask AI tools instead of searching
• compare answers across platforms
• trust discussions more than polished landing pages
• want faster and more direct information

So I genuinely think modern SEO is becoming a mix of:

• branding
• authority
• community presence
• technical SEO
• UX
• distribution
• trust signals
• content quality

Not just rankings.

Curious how others here see it.

Do you think SEO is evolving into something much bigger than just Google rankings now?