Can an Agency Actually Get Your Brand Recommended by ChatGPT?

The honest answer: yes, with a caveat

An agency can meaningfully improve the odds a brand is cited by ChatGPT — that's a real, measurable outcome achieved through content structure, crawler access, third-party corroboration and, where available, paid placement. This is worth stating plainly upfront because the category is new enough that both overpromising vendors and reflexive skeptics exist in roughly equal numbers, and a buyer evaluating this for the first time deserves a straight answer rather than either extreme. What no agency can do is guarantee it, because ChatGPT's output is controlled by OpenAI's model and retrieval systems, not by any outside vendor. Treat “guaranteed recommendation” as an immediate red flag in any pitch.

What actually moves the needle

Three things reliably improve citation odds, and none of them involve gaming or manipulating a model. First, technical access — confirming OAI-SearchBot and ChatGPT-User aren't blocked, since that's a binary gate, not a ranking factor. Second, content structured for extraction: a direct answer up front, comparison tables, specific numbers instead of marketing adjectives. Third, corroboration — the same claim appearing on your site and in independent sources (reviews, press, directories) makes it more durable in AI answers than a single self-published claim.

• Confirm crawler access — a binary yes/no, not a ranking score
• Restructure for direct, extractable answers
• Build corroborating third-party mentions
• Layer paid placement on contested prompts once organic groundwork exists

How to evaluate an agency's honesty

Ask them to run five of your actual buyer prompts live, on the call, and explain what they'd change and why. An agency that can do this in real time, citing specific structural reasons, is doing the actual work. If they instead pivot to a generic pitch about the size of the AI search opportunity without engaging with your specific prompts, that's a sign the live demo would not have held up either. One that only shows a generic case study or a slide about “the power of AI” is selling a narrative, not a service. This single test filters out most of the noise in a category where the term GEO itself is still loosely defined enough for almost any digital marketer to claim it.

The DTC/ecommerce example

A DTC skincare brand competing for “best retinol serum for sensitive skin under $50” is now competing against Reddit threads, review aggregators and other DTC brands for the same prompt — a much noisier field than a typical B2B category. This noise is precisely why an agency's claim of guaranteed placement should be treated with even more suspicion in consumer categories than in narrower B2B ones — there are simply more independent, uncontrollable sources competing for the same answer. Here, corroboration matters enormously: ingredient transparency pages, third-party lab results, and consistent product claims across the site and external reviews all feed the same answer. An agency can build and maintain that consistently; it can't force ChatGPT to pick this brand over a Reddit consensus.

A realistic goal for a DTC brand in a noisy category is influencing the mix rather than dominating a single clean answer — getting the brand's ingredient transparency and lab results cited alongside, not necessarily above, community consensus. That's still a meaningful, measurable improvement over being absent from the answer entirely.

What Suggesting.ai does — and doesn't — promise

We don't promise guaranteed recommendations, because that's not a real thing anyone can sell. We do run a free 48-hour audit showing your current citation status, build the GEO content and technical fixes that measurably improve extractability, and manage ChatGPT Ads and other LLM ad platforms as a paid backstop. What we won't do is promise a number of guaranteed citations per month, because that promise would require controlling a system we don't control — and any agency willing to make that promise anyway is a reason to ask harder questions, not a reason for confidence. The goal is making it more likely ChatGPT is suggesting you — an honest, ongoing improvement, not a one-time guarantee. The most reliable proof point remains a documented trend over time, built from your own baseline audit forward — not a generic industry statistic about AI search growth, which says nothing about your specific brand's trajectory.

Measuring real progress vs vanity claims

Track citation frequency across a fixed prompt set monthly, and compare it against your baseline from the initial audit. If an agency can't show you a before/after on real prompts, they can't show you it's working — regardless of what the invoice says.

It's also worth being skeptical of a report that only shows improving numbers month after month with no explanation of the mechanism behind the change. Real GEO progress tends to be uneven — a strong month followed by a flat one as a competitor updates their content — and an honest agency will explain those fluctuations rather than smoothing them into a suspiciously perfect upward line.

The same logic applies to how an agency talks about ChatGPT Ads results for a DTC brand — a strong click-through rate on a sponsored placement means little if it isn't paired with actual conversion data, since a labelled sponsored result competes for attention differently than an organic citation embedded inside the AI's own answer.