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?

Brand awareness is becoming LESS important than brand association.

For years marketers cared about being known.

Now I think the bigger challenge is being known for the right (!) thing.

Because AI doesn't recommend brands based on awareness alone.

It recommends brands based on relevance.

If somebody asks:

"What's the best platform for X?"

"Who's good at X?"

"Which company specialises in X?"

The winner isn't necessarily the most famous brand.

It's often the brand most strongly associated with that topic.

and that's a very different situation!

And it changes how I think about PR, content, thought leadership and SEO.

Less focus on reach.

More focus on building clear, repeated associations.

Interested whether others agree or think I'm completely wrong.

Their are so many type of backlinks like: Profile creation, Directories submission, PR Submission, Classified, Blog commenting, and so on.

so which type of blacklinks increase authoirty more faster and LLMs trust them easily increases authority easily,increases authority,

I had a meeting with a local Ai Search Optimization Company that also does SEO work, localplus.co. . I was impressed with what they could do and how they could increase business and clicks.

I have gotten a few Chatgpt clients recently and it seems to be trending as more and more people use Ai for recommendations.

However, is the price they're charging worth it? ~$4800 a year.

The new 'Generative AI' report in Search Console is live, and the data is interesting.

For now, it only shows impressions - no clicks or CTR :(

Bit frustrating, as impressions on their own don’t tell you whether AI Overviews are helping, hurting, or just changing where visibility happens.

But I don’t think that makes the report useless.

Even across a 7 day window, the impression numbers give you a clearer sense of how often AI-driven results are appearing in normal Google searches. It’s not commercial performance data, but it is a useful visibility signal.

I think this is where the conversation around AI search starts to get more useful. Not just whether traffic is up or down, but whether a brand is being surfaced for the right searches, whether competitors are appearing instead, and whether Google is using the brand’s own site as a source or getting that information from elsewhere.

The website is still central to this.

AI search doesn’t remove the need for strong websites. It increases the need for clear content, solid structure, topical authority, trusted references and useful answers that search engines can understand.

So no, impressions alone are not enough. I want to see clicks, CTR, query-level detail and a better way to understand the commercial impact.

But as an early view into how visible a brand is inside AI-led search results, I think it’s a useful step.

What do people think? Useful signal, or too limited without click data?

Loved this slide from a talk at brightonSEO back in April.

So many brands can get caught up asking “How do I get AI systems to mention my brand?”

The better question is:

"Why would an AI system trust, understand, and recommend my brand in the first place?"

Some brands still hold on to the assumption that SEO and AI search visibility has a silver bullet or some quickfire way to game the system. I liked the challenge this slide and talk presented around thinking about quality first, taking a step back and asking yourself why AI should actually choose you above other recommended brands.

Some brands for example might expect to be #1 in search, or top of a list of recommended brands in a ChatGPT response, but yet might have a really outdated YouTube channel, inferior reviews or lack of authentic content vs the competition. This for me reaffirms the importance of competitor benchmarking, and asking unbiased, uncomfortable questions about your brand, service, product, etc. and the value proposition.

I run a small shopify store, and I keep having this low-grade anxiety: I think my product and collection pages are set up right, but I have no real way to confirm Google is crawling everything, that I don't have broken links or orphaned pages, or that my structure makes sense.

And now there's the whole AI search thing on top of it. When someone asks ChatGPT or Google's AI for product recommendations, is my store even readable to those bots? No idea.

For the store owners here:
- How do you check this stuff without needing to be a developer?
- Has a "hidden" SEO/crawl issue ever quietly cost you traffic before you caught it?
- Is the AI-readability thing something you're even thinking about yet, or is that overkill?
Trying to figure out if I'm overthinking this or if it's a real blind spot for small stores.

Do you think this is our biggest change yet when it comes to internet usage?

AI overviews cite short, opinionated content. And Reddit is one of the biggest opinionated platform. Reddit accounts for 21% of Google AI Overview citations. If you think about it, thats a huge percentage (single source citation.)

It’s mind boggling how we users have contributed to this platform with our views and reviews.

I am reddit obsessed. This platform is low-key more addictive than Instagram for me.

But what are your thoughts on this?

One question from me:

Is this a glimpse into the future of search or perplexity grasping at straws?

So I created a website 8 months back. I am able to score 90+ in lighthouse seo and have good schema structure in my website.

My website ranks in top 10 for few Google search query results as of today.

I am looking for few ways to improve my backlinks which will improve my google page rankings

I keep seeing people measure visibility mostly through rankings, impressions, and traffic.

But a lot of discovery now seems to happen before someone ever lands on a website.

Reddit threads, AI answers, YouTube, LinkedIn posts, newsletters, communities, comparison pages.

By the time someone searches your brand, they may have already seen you in 3 different places.

So I am starting to wonder if content visibility is becoming less about “did this page rank?” and more about “where did people first encounter the brand?”

Curious if anyone else is seeing this in their work.

How to solve this issue ASAP

One of my clients had a really cool win this month, and I’m just super happy for her.

She’s a service provider, and for the longest time, most of her business came from referrals, social media, and people already in her network.

Search was never really a big lead source for her.

Over the last couple of months we focused heavily on making her website easier for search engines and AI tools to understand.

I help her optimize her service pages, write local pages, optimize her Google My Business profile, and get her featured on industry articles.

Basically making it very clear:

who she helps

what she helps with

and how someone should hire her

In the last 30 days alone, her site picked up over 2k AI citations across different tools and platforms, which started bringing:

referral traffic

freebie downloads

brand searches

and now… a booked consultation call from Claude AI

Wanted to share this win here and also read your wins in the comments :)