Generative engine optimization is at last a real line item in marketing budgets in 2026. Founders and CMOs are actively searching for an LLM SEO provider that can get their brand cited in ChatGPT, Perplexity, and Gemini responses.
But there’s a problem. Most of the market, including the providers, are still figuring out what actually works. On the one hand, the field is new and features distinct differences from search engine optimization despite significant overlap. On the other hand, LLMs are currently in a rapid iteration cycle, with new models and players entering the market every month.
That makes choosing an AI visibility provider genuinely difficult – because the signals that separate credible operators from repackaged SEO shops are not obvious.
This guide is built to help you evaluate before you sign. No theory. Just the specific proof points, red flags, and decision criteria that matter right now. And, of course, as ChatGPT would say, no fluff.
Continue reading: 9 GEO mistakes that are killing your AI visibility (and how to fix them)
Why GEO is not the same as SEO
When you hire an SEO agency, you check rankings, traffic curves, and domain authority lifts. The inputs and outputs are well understood.
AI visibility doesn’t work the same way. An AI visibility agency might improve your presence in ChatGPT responses without moving a single Google ranking – or vice versa. The mechanisms are different.
For example, while Google considers factors such as domain authority, domain age, and keywords, these factors are not directly assessed by LLMs. AIs do look at search engine rankings, which technically makes these factors in AI SEO through the backdoor, but a much greater role play external validation and crawlable content.
Continue reading: How ChatGPT Decides Which Businesses to Recommend
A significant number of providers marketing themselves as a ChatGPT visibility service are actually running traditional SEO with new branding.
Thankfully it’s not too difficult to spot them. If their entire strategy focuses on your website – on-site content, technical adjustments, schema markup – without any external validation work, it’s not AI visibility work.
LLMs don’t just recommend brands because their websites are well-optimized. They recommend brands that appear consistently across multiple independent sources. That requires off-site work: editorial mentions, inclusion in curated lists, reviews on relevant platforms, and presence in the data sources LLMs actually retrieve from.
On-site optimization is a supporting factor, and not an unimportant one. But it is not the main strategy.
What to ask before signing
Most ChatGPT marketing providers will show you a polished deck. As with most services, you will want to look at specific case studies, work examples, and generally the strategy that a GEO provider uses.
Depending on the information you already have, we suggest asking for these five things:
1. A documented case study with named results.
Not “we helped a SaaS company increase visibility.” You need the company name, the specific AI platforms where recommendations changed, the timeline, and what work was done. If they cite NDAs for every single case, that’s a red flag.
2. Live links to organic editorial placements.
Any credible LLM SEO agency should be able to show you third-party articles, listicles, or media reviews they secured for a client – on sites they don’t own. If all the content lives on the provider’s own blog or the client’s site, you’re looking at repackaged content marketing.
3. A clear month-1 deliverable plan.
Ask what you will see after 30 days. Credible providers can tell you: specific content published, specific outreach completed, specific PR placements landed, and early directional signals on AI visibility. Of course, one month isn’t a huge amount of time to make any guarantees – yet it’s still reasonable to expect visible progress.
4. Their position on AI-generated scaled content.
This matters more than most buyers realize. Google’s March 2024 core update specifically targeted scaled low-quality and unoriginal content – and has since doubled down on it multiple times. The update was initially projected to reduce such content by 40% in search results, and many companies using this strategy got severely penalized.
A provider that plans to flood the web with AI-generated articles to “build your footprint” is building on a foundation that Google is actively dismantling.
5. How they keep up to date with the latest changes.
What works in AI visibility this quarter may not work next quarter. Model updates, retrieval changes, and new grounding sources shift the landscape constantly. Ask your prospective AI visibility agency how they track these changes and how they’ve adapted their approach in the last six months. If they can’t give a concrete answer, they’re likely running a static playbook.
For instance, self-promotional listicles published on in-house blogs used to be a standard SEO strategy in recent years. As of 2026, Google started to penalize companies for using this strategy. And as Lily Ray shows, Claude has also picked up on this
Claude is getting smarter, it provided this caveat on its own. pic.twitter.com/yQNTcsvTBQ
— Lily Ray 😏 (@lilyraynyc) March 9, 2026
Red Flags That Should Stop the Conversation
| Red Flag | Why It’s Risky | How to Verify Before Signing |
|---|---|---|
| Guarantees on ChatGPT or Perplexity recommendations | No provider controls LLM outputs. Models change training data, retrieval methods, and ranking signals without notice. | Ask them to explain exactly how they would guarantee a recommendation. If the explanation is vague or circular, it’s a fabricated promise. |
| All content is produced and published in-house | LLMs build recommendation confidence through distributed third-party validation – not from content a brand publishes about itself. | Request links to placements on domains they don’t own or operate. Check if those placements are organic editorial or paid/sponsored. |
| Vague PR claims with no execution detail | “We do digital PR” means nothing without specifics. Many providers outsource to low-quality link farms or mass-distribute press releases to wire services with no editorial pickup. | Ask for three specific publications where they placed client content in the last 90 days. Verify the articles exist and aren’t on content-mill domains. |
| Heavy reliance on AI-generated scaled content | Google’s March 2024 update directly penalized this approach. Building a visibility strategy on mass-produced content exposes your brand to algorithmic risk. | Ask what percentage of deliverables are AI-generated vs. human-written. Ask how they ensure originality and editorial quality. |
| No adaptation to recent model or algorithm changes | AI search is evolving monthly. A provider running the same playbook from 2023 is already behind. | Ask what they changed in their approach after the last major model update. If they can’t name one, they’re not keeping up. |
The Month-1 Test
The strongest signal of provider quality comes early. After 30 days with a credible LLM SEO provider, you should be able to see specific evidence of work done – not just a strategy document or an audit report.
Continue reading: 5 Steps to Build External Validation for AI Recommendations
Concrete month-1 outputs include: live content published on external sites, outreach to editorial contacts with documented responses, initial PR placements secured or in pipeline with named publications, and early directional data on whether your brand appears in AI-generated responses for relevant queries.
If month one produces only internal documents, meetings, and promises about month two – you have your answer.
How much should I value GEO vs. SEO?
If you’re already investing into search engine marketing, then you may be wondering how you should budget SEO spend vs AI spend. After all AI referral traffic is only 1–2% of total web traffic, so why invest?
However, that framing is misleading.
The reality: The commonly cited 1–2% range for AI referral share is a directional observation across broad web analytics – not a fixed number, and not evenly distributed across industries or intent types.
But more importantly, it measures clicks, not influence.
When a founder asks ChatGPT “what’s the best project management tool for remote teams” and gets three names, the influence on the buying decision is significant – whether or not the user clicks through from that interface. The recommendation shapes consideration sets before a Google search ever happens.
As practitioners in the space have noted, the conversion characteristics of AI-referred traffic also differ from organic search traffic. Users arriving from AI recommendations often show higher intent signals because they’ve already received a contextual endorsement.
ChatGPT traffic is converting 31% better than organic Google traffic. And almost nobody is paying attention to it yet. According to a Visibility Labs analysis of 94 seven- and eight-figure ecommerce brands throughout 2025, ChatGPT referral traffic converted at 1.81% compared to 1.39% for non-branded organic search. That’s a 31% higher conversion rate.
— Matt Diggity (@mattdiggityseo) March 3, 2026
Finally, it’s absolutely essential to note that we are still at the very beginning of AI adoption – a technology that improves and expands exponentially. At PolyGrowth, we believe these 1-2% numbers are set to increase significantly over the next 12 months – and likely even overtake traditional search engines in the coming years.
More questions to ask your AI SEO provider
If you’re still evaluating a generative engine optimization provider and want to be sure that you’re good hands, here are a few more questions to ask:
- “Show me a brand you made visible in ChatGPT or Perplexity responses. What did you do, and how long did it take?”
- “What third-party publications have you placed client content in during the last 90 days? Can I see the links?”
- “What will I have – live, published, and verifiable – after 30 days of working together?”
- “How do you approach external validation versus on-site optimization? What’s the split in effort?”
- “What changed in your approach after the last major Google or OpenAI update?”
- “Do you use AI-generated content at scale? If so, how do you manage quality and originality risk?”
- “What happens if your approach stops working after a model update? What’s the adaptation process?”
These are not trick questions. A competent provider will welcome them. Evasion or defensiveness in response to any of these is itself a data point.
Choosing with clarity
The market for AI visibility services will mature. Pricing will standardize, case studies will accumulate, and the gap between credible providers and opportunistic ones will become easier to spot.
Right now, that gap is wide and hard to see from the outside. The advantage goes to buyers who ask precise questions, demand verifiable proof, and treat the first 30 days as the real evaluation – not the sales call.
Knowing how to evaluate an AI visibility provider is, for the moment, a genuine competitive advantage. Use it before you sign anything.
