What an Agency Actually Does to Get Your Brand Recommended by ChatGPT

What 'a ChatGPT agency' actually means in 2026

There's no single job title for this yet, which is why buyers search for it every which way — GEO agency, AI visibility agency, LLM SEO agency. Functionally they all describe the same work: getting a brand's name, facts and comparisons surfaced inside AI-generated answers, across ChatGPT, Perplexity, Gemini and Google AI Overviews, rather than only in a list of ten blue links.

A competent agency in this space does three things a traditional SEO shop typically doesn't: it tests actual prompts against live models, it structures content specifically for extraction (direct answers, comparison tables, named entities), and it manages paid placement inside the AI platforms themselves as those ad products open up.

How to evaluate one before signing anything

Ask three questions in the first call. First, can they show you, live, how your brand currently answers (or fails to answer) five real prompts your buyers use? Second, do they separate organic GEO work from paid ChatGPT Ads management, or bundle it vaguely as "AI marketing"? Third, what's their reporting cadence — monthly citation tracking against named competitors is the standard; a single before/after screenshot is not.

Be wary of anyone promising guaranteed placement. No agency controls what a language model outputs; the honest pitch is improving the odds through structure, distribution and, where applicable, paid channels — never a guarantee.

It's also worth asking directly whether the agency has worked in a regulated or comparison-heavy category before. The techniques that work for a consumer app trying to get mentioned in a best-apps roundup are meaningfully different from what a licensed broker or a healthcare company needs, where factual accuracy and compliance review add steps a generalist agency may not be equipped to handle.

The SaaS example

A mid-market SaaS company selling to ops teams competes for prompts like "what's the best tool for automating vendor onboarding." Buyers increasingly skip the ten-tab comparison research and just ask ChatGPT to shortlist three options. If the SaaS brand isn't structured to be one of those three, it's excluded from the buying process before a human ever visits the pricing page.

An agency working this account would build category-defining comparison pages, ensure integration and pricing facts are current and citable, and test the exact shortlist prompt weekly to see who's winning it and why.

This matters more in SaaS than in many other categories because switching costs and buying committees make the shortlist stage disproportionately important — once a tool is excluded from the AI's initial three-option answer, it rarely gets reconsidered later in the buying process. Winning the shortlist prompt is often worth more than winning ten lower-intent awareness prompts combined.

What Suggesting.ai does for SaaS and other B2B brands

Suggesting.ai runs three services as one coordinated program rather than separate line items: a free 48-hour audit of current AI presence and citation gaps; GEO content and technical work (crawler access, structured data, comparison pages) to earn organic citation; and management of ChatGPT Ads plus other LLM ad platforms as they launch. For finance and fintech clients specifically we also handle the regulated-industry nuance — license claims, jurisdiction-specific facts — that generic content teams get wrong.

The goal across all of it is the same: when ChatGPT is suggesting a tool in your category, you want to be the suggestion, not the runner-up nobody cites.

For finance and fintech clients on our own roster, this same discipline applies to license claims and jurisdictional facts, where a small inaccuracy can create real regulatory exposure rather than just a marketing embarrassment — a level of care generalist content teams outside the sector often underweight.

Pricing and what to expect to pay

Market retainers for GEO work currently range from around $2,000/month for a single-market, single-product engagement up to $10,000+/month for enterprise programs that include digital PR and multi-market coverage. Suggesting.ai scopes pricing after the free audit, once we know your current citation baseline and competitive set — we don't quote blind.

A blind quote is also a warning sign in its own right: without a baseline audit, neither you nor the agency actually knows how much work is required to move the needle, which means the price is a guess dressed up as a proposal.

Measurement you should demand

Insist on a monthly report that names the prompts tested, who was cited, and the trend over time — plus, if ads are running, platform-reported impressions and clicks. Anything vaguer than that is a marketing agency using "AI" as a buzzword rather than a specialist running a measurable program.

Ask, too, whether the agency has a documented process for regulated-industry review — for a finance or fintech SaaS product, a comparison claim that overstates a certification or misstates a fee structure isn't just a marketing risk, it can create compliance exposure. A specialist agency will have a sign-off step for exactly this reason.

It also helps to ask how the agency handles a losing month. A program that only ever reports wins is either cherry-picking its prompt set or not testing rigorously enough — a healthy monthly report includes citations lost to competitors alongside citations gained, with a stated plan to close the gap. That transparency is a better predictor of long-term results than any single month's headline number.