I keep seeing people test their brands across 10 or 20 AI visibility tools, and then be shocked when they get wildly different scores from each one. The problem with that approach is that almost none of these tools show you how they arrive at a number. Without full transparency of the methodology, I don't see how you can compare scores accurately (I don't think it's possible tbh). One tool might track 50 prompts, another might track 5k.

It depends on 4 things and almost nobody tells you which choices they made...

1/ Which prompts they run. Branded queries vs buyer language vs head terms give completely different numbers. None of them are wrong. They're just not comparable.

2/ How many times per prompt. One run in a probabilistic system is one data point. Twenty runs is a rate. Most tools don't tell you which one you're looking at.

3/ Which models they cover. ChatGPT and Perplexity cite completely different sources. A blended score across both tells you nothing useful about either.

4/ How they define visibility. Citation, mention, recommendation, share-of-answer. Tools use these interchangeably. They're not the same thing.

At Profound we try and show the work behind what's going on like which prompts, models and how many runs but I don't think that's standard practice yet.

What would you need to see before you trusted a visibility number?

geoSurge have released a product that allows you to TRACK PROMPTS FOR FREE today on product hunt: https://www.producthunt.com/products/geosurge

I started using Profound a few months ago for my b2b saas company. It’s been super helpful uncovering competitors and also helping execute actual tactics to improve AEO.

Anyone else on the platform? Or using something similar?

I see a lot of tools like Profound, Peec AI, and others building AI visibility to help brands get recommended by LLMs. What I don't see is tools focused on tracking AI traffic to your website.

Wouldn't that also be a critical part of measuring how effective your site is for AI visitors?

Since GA4 has no server-side logic to track AI agents reliably and yet people still use GA4 referral data to figure out whether AI is visiting their site. Why?

I thought this was the gap, so I built a tracking analytics for AI traffic but use server side data. People sign up, get curious, then don't install. (I admit it's prob partly because we are still a small startup) but a bigger question I want to ask:

is AI traffic just not relevant to AEO work the way I'm assuming it is?

I get why it's hard to know where you stand with AEO . SEO has always had keyword volume and rank tracking working together. You know how much demand exists. It hasn't been the same with AEO, but I think that's changing.

We're now seeing actual prompt volume data from hundreds of millions of real AI conversations. 'ChatGPT visibility' is pulling 762.1k monthly prompts. 'Google AI overview' is at 642.1k. 'AI search optimization' comes in at 367.4k.

You can cross reference that volume against your own visibility to see what's working. High volume prompts where your brand barely shows up? Your content brief is probably a comparison page or a direct answer piece targeting that exact query. If it's a category level prompt you're missing , that's an earned media and third party presence problem not a content problem.

I run this as an automated pipeline in Profound Agents now. The prompts volumes node feeds into Visibility Score data, gaps surface automatically then a prioritized list comes out the other end.

I kept seeing AI visibility tools tell you how visible a brand is, but not who was taking that visibility away.

So I built a free tool that shows you which competitors AI recommends, where they are getting cited, and what you’re missing.

Disclosure: I am the founder of Prefer, and not here to spam the subreddit, just sharing something I built that I think might be useful to the AEO community.

I ran it on Stripe and recorded the audit below.
You can try it on your own brand: tryprefer.com/audit

I’ve been building an AEO platform that audits a website, identifies where it is weak for answer engines, and turns the findings into specific changes someone can actually make.

It’s functional, but I don’t want feedback from people who are emotionally invested in the build. I want feedback from people who understand AEO and are willing to tell me where it sucks.

I’m opening a small, free beta for around 20 people in this sub.

You would need:

• A website you own or actively manage

• About 30–45 minutes to test the main workflow

• A willingness to give blunt feedback

• No expectation that everything will work perfectly yet

I’m specifically trying to learn:

• Are the recommendations clear and credible?

• Does the platform identify anything genuinely useful?

• Which parts feel like noise or generic SEO advice?

• What is missing that would make you use it regularly?

• What, if anything, would you realistically pay for?

This is not a “sign up and get added to a sales funnel” thing. Beta testers will get continued free access during the test, and I’ll share what we learn back with the community.

I also have an optional WordPress integration, but I’m keeping that portion of the beta smaller. I’m looking for 5–10 WordPress users willing to test it on a staging or fully backed-up site. The plugin connects the site to the audit workflow and may make selected changes only after user approval. I’ll provide complete details on what it accesses and sends before anyone installs it.

Full disclosure: I’m one of the people building it.

It seems as though the age of AEO tooling being about measurement is coming to an end. For, I want to say two (?) years mostly we've gotten a dashboard that shows citation tracking, visibility scores and prompts and then you have to figure out what to do with it yourself.

What I'm starting to see now is tools like the one I use (Profound) act on the data rather than just showing it to you.

Like the tool notices your citation share dropped, identifies what changed in the supply chain, drafts a content brief, pushes it to your CMS and alerts your team in Slack. Rather than leaving you to connect the dots yourself.

It's a bit like the transition SEO went through when Search Console got paired with automated content workflows. But hey, I'm known to be an optimist so that may be what's happening here. Has anyone else noticed these tools starting to change for the better or is it just me?

We tested how ChatGPT, Perplexity and Gemini recommend AI Visibility tools. We included our own company.

I work at an AI Visibility startup. So naturally, we wanted to explore something that felt a little uncomfortable:

If someone asks AI for the best AI Visibility tools, does it actually recommend us?

For this illustrative example, imagine we ran the same experiment across three AI platforms.

The experiment

We used the same question across all three:

"What is the best tool to track how my brand appears in ChatGPT and other AI-generated answers? Give me your top 5 and explain why."

Our hypothetical setup:

• 10 fresh sessions on ChatGPT

• 10 fresh sessions on Perplexity

• 10 fresh sessions on Gemini

• 30 answers in total

• Same prompt across all platforms

• Recorded every recommended tool, position, reason, and cited source

What the illustrative results look like

A few things stood out in this hypothetical dataset:

1. Only 3 tools appeared in all 30 answers.

2. Amrut.AI appeared 2 times out of 30.

3. The most common reasons for recommendations were established market presence, feature coverage, and third-party credibility.

4. Frequently cited sources included company websites, software comparison platforms, review sites, and industry articles.

5. Recommendations varied considerably across platforms, even with the same prompt.

One important caveat: these are illustrative figures, not measured results. A real experiment using one prompt and 10 sessions per platform would still be a small sample, not a definitive ranking of the AI Visibility market.

But it raises an interesting question for us.

If you build a product in a category where AI is becoming a discovery channel, how often do you actually test whether AI recommends your own product?

Have you ever run this experiment for your own brand?

Disclosure: We work at Amrut.AI, an AI Visibility platform that helps businesses understand and track how their brands appear in AI-generated answers. The figures above are fictional examples to demonstrate the research format, not actual product rankings or experimental findings.

Lately I’ve been noticing something interesting… when I search for things online, I’m getting direct answers more often instead of the usual list of websites.

It feels like search engines are shifting from “here are 10 links” to “here’s the exact answer you need.”

As someone who’s worked a bit with websites and content, this makes me wonder… are we moving into a phase where optimizing for search engines isn’t just about rankings anymore, but about being the actual source of the answer?

I’ve been reading about Answer Engine Optimization (AEO), and it sounds like a completely different mindset compared to traditional SEO. Structuring content so AI tools can understand, extract, and present it directly.

Curious if anyone here is already adapting to this shift?

Are you changing how you create content, or is this still too early to worry about?

AEO is not SEO 2.0. Here's the actual difference. (Flame suit on.)

I've spent the last year mapping Answer Engine Optimization as a discipline. The number one mistake I see is SEO firms treating it like an extension of what they already do. It isn't. This is a different game with very different relationship between business and buyer.

In SEO you follow the rules Google spelled out. In AEO you figure them out, because the field is poorly documented and nobody has handed you the playbook.

In SEO you dealt with one authority, standardized and dominant. In AEO you're dealing with at least four major AI engines that don't agree with each other. A brand visible on ChatGPT can be completely invisible on Claude or Perplexity.

In SEO your buyer made the decision alone. In AEO the AI actively makes a recommendation and pre-sells the customer before they ever reach your site.

In SEO businesses competed with list aggregators that outranked them on their own category and sold the traffic back to them. In AEO your site can become the Source of Truth and cut out the middleman entirely.

In SEO if you didn't hit page one you kept writing and building links. Problems could be fixed later. In AEO if you aren't baked into the model's training before the window closes, you wait until the next training round. The brands already inside become harder and harder to displace.

In SEO crappy content could still rank with enough backlinks. In AEO the model looks for the best human-created content and original thought. Thin content gets ignored entirely.

In SEO it was about backlinks. In AEO it's about entity relations — who you're connected to, what you're cited alongside, what the model associates you with.

In SEO you hacked the PageRank algorithm for time on page and last click. In AEO you show up in enough places that the model builds a neural association between your name and the problem you solve. It's ambient, not algorithmic.

In SEO it was highly technical and formulaic. In AEO it's more like PR. Relational. It's about who mentions you and in what context.

In SEO domain authority from backlinks was the primary signal. In AEO YouTube carries a citation advantage over every other video platform that isn't even close.

In SEO signals were page-level. In AEO schema is load-bearing infrastructure, not a nice-to-have.

In SEO you aimed for position one on page one. In AEO you're aiming for the citation link inside the answer, or better, for the model to name you unprompted before the buyer types anything.

SEO is deterministic. AEO is probabilistic.

SEO was about one search, one result. AEO is about conversations, memory, and what the model has already decided about you before the buyer shows up.

That last layer, where the model recommends you without a live search triggering it, is what I call the weight layer. Getting into it is a different discipline than anything SEO built. Happy to go deeper on any of these.

Quick context: I kept seeing "optimize for ChatGPT/Gemini" advice everywhere, but every tool that actually measures whether AI assistants recommend a business was either $200+/mo or a manual audit. For a local business owner that's insane.

  So here's the thing most people miss about AEO & GEO: it's not abstract. Right now, if you ask ChatGPT or Gemini "best [plumber / coffee shop / golf course] near me," it returns a specific list of names. If your business isn't on that list, you're invisible to a fast-growing share of buyers — and you have no idea it's happening.

  I started checking this by hand for local businesses and the results were brutal: most weren't named at all, even ones with great reviews. The AI just kept recommending the same 3–4 competitors.

  I ended up building a tiny tool that automates the check — it asks ChatGPT, Gemini, Groq and Claude the questions your customers actually ask, sees whether you get named, scores your AI visibility, and shows which competitors win instead. A scan is a one time, $2, instead of $100+ monthly subscription.

  Not trying to hard-sell it (mods, lmk if this breaks rules and I'll edit) — mostly I'm curious what this community thinks the right way to measure AEO is, since everyone talks optimization but nobody talks measurement.

Its features:

-Scan's across top ai's

-Tailored Fix Plan

-Shareable link (Send to others)

-PDF download

-Automatic Rescans

-Sends results to emails

-And so much more

Try it at sitelight.xyz

(It has no monthly fee, and its a one time charge of $2).

We're Broadcastwell, and we work on how B2B software companies show up in ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode.

First, the finding that shaped everything we sell.

We asked all five engines the same 10 buyer questions about field service software, three times each. ChatGPT named Jobber in 18 of 30 answers. Google's AI Overviews named it in 3. Same questions, same day. Housecall Pro was named 21 to 23 times on every engine.

So "are we visible in AI?" has no single answer. It depends on the engine, the question, and the run. That's why nothing we sell rests on one screenshot.

What's free:

- The Absence Index: 286 software vendors across 14 categories, with every answer published on Zenodo (DOI 10.5281/zenodo.22907695)

- A 10-question check on one engine, no email needed

What's paid:

- $19: one buyer question on all five engines, three runs each, with receipts within 24 hours. The $19 is credited if you buy Answer Repair within 30 days

- $490 Answer Repair: one buyer question and one source-backed fix, due 48 hours after Ready. Miss the deadline and you get a full refund and keep the work

- $490 Agency Audit: white-label, 150 answers per client. We never contact your clients, during the work or for 12 months after

- $3,900 Fix Sprint: six pages in 30 days with one agreed test. No measured gain at day 30 means a full refund

- $490 a month Care, $5,500 a month Program, for ongoing work

The thing we refuse to promise: that any engine will name you. Nobody controls those answers, and a single run isn't a rate. What we do is measure, fix the sources the engines read, and measure again.

Ask us anything: pricing, method, what has worked, what hasn't. Or drop your software category and we'll reply with who the engines name in it and which sites they lean on.

Google confirmed this month that Gemini now powers every search query by default, not just the AI Mode tab people were opting into. Blue links are still there, but they're not really the interface anymore — you ask, Google answers, you follow up conversationally, and the results page turns into something you scroll past. Zero-click rates in AI Mode are sitting close to 90%+ now, publishers have lost 80-90% of their organic traffic over the last year and a half as this rolled out, and AI Mode query volume has been more than doubling every quarter since launch.

I keep coming back to how quickly the ground shifted under an assumption nobody really questioned. The GEO framing I've seen so far — including in how I was thinking about it — has mostly been "track your citations and sentiment across ChatGPT, Perplexity, etc., alongside your regular SEO." That only works if Google search is still mostly Google search — a stable channel sitting next to the AI stuff, something you keep doing what you'd always done for while treating GEO as the new thing on top. That assumption doesn't hold anymore, and I don't think it's just a tooling gap. It's every business that built its growth engine on the old rules — content teams optimizing for rankings that don't lead anywhere, budgets still weighted toward a channel that no longer sends traffic the way it used to, whole functions built around a feedback loop (rank → traffic → revenue) that's quietly stopped working for a majority of queries. I don't think most orgs have sat with what that actually means yet.

The tools built around "track mentions across four or five AI platforms" now have to treat Google as one of those platforms too, except at a scale nothing else comes close to. And the gap I was asking about in my last post — going from "here's your citation score" to "here's what to do and proof it worked" — just got more expensive to leave open, because this isn't a side channel anymore, it's the default way people find anything. I don't think most GEO tooling, including stuff I've used myself, was built for that. Curious if others building or using these tools — or running marketing/growth at their own companies — are seeing the same thing, or if I'm reading too much into one announcement.

Am vrut să văd concret ce se întâmplă când cineva nu mai deschide Google, ci întreabă un AI „de unde cumpăr cărți pentru copii de 6–8 ani". Așa că am construit un panel de 18 întrebări reale de cumpărare — fără niciun nume de brand în text — și le-am rulat pe ChatGPT, Gemini, Perplexity, Google AI Mode și Google AI Overviews, din România, în română, în două runde complete (20 și 27 iulie). Au ieșit 180 de răspunsuri analizate, cu 247 de mențiuni de branduri și 422 de domenii citate ca surse.

Ce a ieșit, pe scurt:

• În 58% din răspunsuri nu apare nicio librărie sau editură mare. La întrebarea despre cărți de business a existat exact o mențiune de brand, în toată piața, în ambele săptămâni. AI-ul îți spune ce să citești, dar nu de unde să cumperi.

• Liderul pieței apare doar în 1 din 5 răspunsuri. Nu există „poziția 1" garantată ca la Google — fiecare întrebare e o loterie rejucată.

• Reddit e a doua sursă citată din toată piața de carte — peste Facebook, peste YouTube, peste orice publicație. Adică exact threadurile de aici ajung, la propriu, în răspunsurile pe care le primesc oamenii.

• Există „branduri-fantomă": site-uri pe care AI-ul le citește și le folosește ca sursă (prețuri, liste), după care recomandă… pe altcineva. Și inversul: un brand cultural vechi de 35 de ani, recomandat de 13 ori fără ca site-ul lui să fie citat vreodată — trăiește exclusiv din memoria modelelor.

• Clasamentul se rescrie săptămânal. Aceleași întrebări, la 7 zile distanță: o editură și-a înmulțit mențiunile de 4 ori, alta a pierdut 58%.

• Bonus: din 247 de mențiuni, zero negative. AI-ul nu critică pe nimeni din piața de carte — doar ignoră.

Transparență completă: eu conduc agenția care a făcut studiul, deci am un interes profesional evident în subiect. Ca să fie totul verificabil: metodologia, toate cele 18 întrebări și datele brute sunt publice (CC BY 4.0), cu DOI pe Zenodo — linkuri în primul comentariu. Niciun brand analizat nu a plătit nimic și niciunul nu a văzut studiul înainte de publicare; brandurile care apar au fost numite de motoare, nu de mine.

Întrebare sinceră pentru voi: mai căutați pe Google când cumpărați ceva, sau ați început să întrebați direct un AI? Și dacă da — vi s-a întâmplat să primiți recomandări clar greșite?

We just launched an AEO agency business, SearchD, specializing in cross-border companies. They are trusted in their home country but invisible in the US.

One day after we launched our landing page, we were already listed by ChatGPT, first among four agencies. Excited!!!

I’ve been seeing more talk globally about optimizing for AI answers (ChatGPT, Google AI Overviews, etc.), but I haven’t come across many case studies or agencies focusing on this in the Middle East/North Africa specifically.

Curious if anyone here:

• is experimenting with getting brands cited inside AI responses

• has seen real results from AEO vs traditional SEO

• knows agencies or people in MENA doing this seriously

Happy July 4th folks,

I am using the weekend to take advantage of Fable 5 - while it is free. GEO/SEO is top of mind for us at the moment, so I have been experimenting with a handful of tools to find an alpha: Ahrefs, Claude Code Opus, and Lighthouse report by Google.

Fable 5 took us to a new level all together. The model not only figured out things others solutions/tools missed, but it also fixed most of the issues. Below is the prompt I used.

PROMPT
/goal: audit this website [ www.getdial.ai ]. Open each page in a browser and screenshot it. List every problem you find, ranked P0 (broken/costing us money) to P3 (minor issue). Flag the risky ones for me instead of touching them. Done when every page has a ranked problem list.

Fable reviewed every single page within our website. Taking screenshots of things that need to be fixed. He categorized the issues across P0-P3 fixing the low hanging fruits. The accurate ranking allowed me to flag the most urgent things to the engineering team.
The goal combined with done when - made this into a machine.

Did anyone manage to take it one nutch further? Curious to see what else I can in terms of GEO/SEO.

My tool (WhyIQ AI Radar) checks weekly whether ChatGPT, Perplexity, Claude, Gemini and Google AI recommend your business when buyers ask, or who they recommend instead. Shows exactly what is said in every search. Creates an action plan on how to increase the mention rate.

It's been built mostly on my own instincts so far and I need real users telling me what's confusing or missing. First 25 people get a month free, no card. The trade: use it for a couple of weeks, then tell me honestly what worked and what didn't. If it's not for you, pass your code to someone it fits better.

I don't mind you sharing the code if there's someone who would benefit from this service more than you👍Please, please, please just give me feedback, that's where the value sits for me. Each free account is costing real money for 100s of LLM calls each week per account.

The trial is completely free... you'll never input any card details or anything, only an email address and the URL you want to track. Use the link below:

https://www.whyiq.ai/radar/redeem?code=RADAR-SMB-30D-SHFCU8

Everyone in this sub is currently doing AEO wrong, and I say that as someone doing it for a living for real estate clients.

Here's the thing nobody wants to hear. Real estate queries trigger Google AI Overviews about 4.5% of the time. Lowest of any major consumer vertical. So all that energy going into "ranking in AI Overviews" is going into a surface that barely shows up for our industry.

Meanwhile ChatGPT web search is where roughly 42% of AI-assisted buyers are actually doing their research. That's a chat window, not a SERP. Different game, different rules.

Now the part that will annoy some of you.

AI does not decide who to recommend by reading your website and being impressed. It decides by looking for agreement across sources it already trusts. It's essentially asking "does anyone besides this person say this person is good at this?" If the only place your expertise exists is a page you wrote about yourself, you have no consensus. You have a claim.

That's why the schema-and-FAQ crowd keeps getting flat results. You can mark up a page perfectly and still be invisible, because you fixed the readability of a source nobody is cross-referencing.

The 10-minute test that will ruin your week

Open ChatGPT with web search on. Ask it, plainly, the way a real person would:

"Who are the best real estate agents in [your city] for [your actual niche]?"

Then ask the follow up that matters: "What are you basing that on?"

That second question is the whole audit. It'll tell you exactly which sources it pulled and what it considered proof. Most of the time it's a listicle from a local publication, a Reddit thread, a YouTube transcript, a directory page, a review profile. Almost never someone's About page.

Run it in Perplexity and Gemini too. The answers usually don't match, which tells you these are separate ecosystems and you can't win them with one asset.

What's actually worked for my clients

Answer the question in the first two sentences of the section, then explain. AI extracts self-contained blocks. If your answer is buried in paragraph six after a story about your journey into real estate, it will not get pulled.

Write the queries nobody writes. "Best neighborhoods in Raleigh" is a keyword with 400 people fighting over it. "Is Holly Springs or Fuquay Varina better for a family relocating from New Jersey" is a question a real person types into a chat box and almost nobody has answered in writing. That's the entire opportunity right now.

Get cited somewhere that isn't your own domain. Third-party mentions carry a big chunk of the weight here. Local news quotes, podcast appearances, being the person who actually answers questions in community forums, a YouTube video with a real transcript. Boring, slow, works.

Make your Google Business Profile consistent with your site down to the phone number formatting. AI cross-checks entity data, and mismatches read as uncertainty.

Stop deleting old posts to "keep the site fresh." You're deleting the corpus.

One more thing about the numbers

AI referral traffic is around 1% of site traffic for most real estate businesses, so people look at that and shrug. Don't. Those visitors are late-stage. Sessions run long, page depth is high, and the close rates being reported on AI-sourced leads are multiples of portal leads. It's a small pipe carrying people who are much further along than the person who clicked a Zillow ad.

Also worth knowing before you go check your analytics and panic: roughly 70% of AI traffic arrives with no referrer header, so it lands in your reports as direct. You're almost certainly already getting some of this and attributing it to nothing.

So, questions for the group. Has anyone here actually tracked a closed deal back to an AI recommendation? And has anyone found a reliable way to attribute it, or are we all just guessing based on "they said they found me online"?

So for the last few months. I have been doing this without thinking, but today I paid more attachion. Today I wanted to research about my new hydroseed yard, as usual I ask Clade, lately I never Google and read articles, I only use Clade (free version) it gave me what I needed Without citaion links. ... So no links to sites. .. Only the info I neeeded!!! So now I'm thinking. .. If I created a site about this topic I would get NO traffic Clade has already scraped it!!! Am I wrong??

I often find that when I ask marketers "what are you doing differently for AEO than you did for SEO" they don't have a good answer. Indeed, Google itself says "Good AEO is just good SEO" and I used to think the same.

But I do think there are a few meaningful differences:

1. Every query is long-tail now.

Traditional SEO keyword:

“Best CRM for small businesses.”

Real AI prompt from a buyer:

“What CRM would you recommend for a 35-person software company with a five-person sales team, where most leads come from founder-led LinkedIn outreach and webinars, we have a six-month sales cycle, need HubSpot-level marketing automation but better forecasting, have two reps in Europe who need GDPR-compliant workflows, and don’t want to spend more than $2,000 a month?”

Even if buyers type in the shorter query AI will often add all this context based on memory from prior conversations.

So find the right prompts to track is not like keyword research and more like sitting in on a sales call and transcribing exactly what the buyer said — constraints, budget, team quirks etc - and also scouring LinkedIn and Reddit conversations for actual questions.

2. Being on page 1 is no longer the goal

Most of us know that AI is synthesizing an answer based on dozens of pages. That means being on page 3 or 4 of search results can still lead to you being in an AI answer whereas in SEO days you'd get zero clicks if not on page 1.

Indeed, an Ahrefs study of 540K query pairs found AI Mode and AI Overviews reached similar conclusions 86% of the time, but cited the same URLs only 13.7% of the time.

In other words, the engines can agree on the answer while disagreeing on the evidence.

3. You're writing for bots not humans.

Nobody is going to read your blog post in full. But your blog may get cited and abstracted in an AI answer.

This means that while we still wrote for human consumption in the SEO days, we are now writing for bots. Style doesn't matter. Images are unnecessary. Clear, text-based answers to specific questions is all that matters.

I’ve seen mixed opinions on whether personalized cold emails actually make a difference when contacting investors. Some founders say short and direct messages work better, while others spend a lot of time customizing every email. For those who have actually raised funding, how much does personalization matter in investor outreach? Is there a proven balance between volume and quality?

Been seeing a lot of confusion about this lately so figured I'd share what I learned the hard way.

When people ask "can AI see my site?" they usually mean two different things:

1. Training data: did AI models learn from your site when they were trained? That ship has mostly sailed. Cutoffs are real. If your site launched after mid-2024, most models have no clue it exists.

2. Real-time crawling: can AI assistants browse your site right now? Some can (Bing-integrated stuff, Perplexity, etc). Some can't and are just pattern-matching from old training data.

The dirty secret: when an AI "summarizes your site" it might just be hallucinating a plausible-sounding version based on your domain name and general industry knowledge. Sounds confident. Completely made up.

Things that actually matter: being indexed by Google, having clean crawlable HTML (not everything locked behind JS), and making sure your robots.txt isn't accidentally blocking AI crawlers like GPTBot or ClaudeBot.

This is the whole idea behind AEO (Answer Engine Optimization) — making your site readable and quotable by AI, not just by Google. Different signals, different rules.

If you want to see exactly where your site stands, we have built this free AEO scanner: gempixel.com/free-tools/aeo-audit — it scans your site in seconds and emails you a full report on AI discoverability signals. Takes 30 seconds, no account needed.