The Questions Founders Should Ask Before Hiring an AI Visibility Agency

Start With: 'Show Me My Current AI Answer'

The single most useful question a founder can ask is the simplest: run a real prompt about my category through ChatGPT and Perplexity right now, and show me the answer. Any AI visibility agency worth hiring should be able to do this live, on the spot, as the starting point for any proposal — because without a baseline, there's no way to prove later work did anything.

This matters because start with: 'show me my current ai answer' rarely happens by accident: brands that show up consistently in AI answers have usually done deliberate, ongoing work on the exact signals engines like ChatGPT and Perplexity weigh, rather than hoping general marketing activity trickles down into a citation.

There's also a sequencing question worth asking early: which of the gaps under start with: 'show me my current ai answer' would move a real deal this quarter versus which are longer-term authority plays. Conflating the two is a common reason programs stall — teams burn a budget on broad content before fixing the narrower gap that was actually costing them a specific, winnable prospect.

That's exactly the gap a free audit is built to close: rather than debating start with: 'show me my current ai answer' in the abstract, it puts a documented answer in front of the team within 48 hours, so the next conversation is about a specific fix rather than a general worry.

What to Ask About Scope and Pricing

Founders should separate two questions: what does the organic GEO work cost and cover, and what does paid ChatGPT Ads management cost and cover, if available in their market. Market pricing for GEO retainers generally ranges from roughly $2,000/month for a single market to $10,000+/month for enterprise programs with digital PR — ask where a proposal falls in that range and why.

• Is the retainer scoped after seeing my specific audit, or is it a flat package?
• What's included in the organic GEO fee versus billed separately as ad spend?
• What happens if ChatGPT Ads aren't yet available in my market?

In practice, this is also where most companies underinvest, because the effort looks unglamorous next to a redesigned homepage or a new ad campaign — but it's the layer AI engines actually read when deciding who to name in an answer.

It helps to walk through this with an actual competitor name in the room. Naming who currently wins a given prompt, and why, turns an abstract goal into a concrete content or citation gap that a writer, not just a strategist, can act on within a sprint or two.

Teams that skip this step tend to relitigate the same debate every quarter, because without a written baseline nobody can say with confidence whether last quarter's work actually changed anything, or whether the market simply shifted on its own.

How Suggesting.ai Answers These Questions Upfront

Suggesting.ai's free 48-hour audit exists specifically to answer the baseline question before a founder commits to anything. From there, any proposal is scoped to the audit's findings rather than a generic package, and organic GEO work is priced and reported separately from ChatGPT Ads management, which only applies where that market's ad platform is live.

It's worth being explicit that none of this replaces good product and service delivery. AI visibility work amplifies a credible brand; it can't manufacture credibility that doesn't otherwise exist, and any agency implying otherwise is overselling.

None of this is a one-and-done fix. AI models retrain, competitors publish new material, and a prompt that favored you last quarter can shift the moment a competitor lands a new press mention or updates their documentation — which is why ongoing monitoring, not a single project, is the realistic frame.

The upside of doing this properly is durable: once the underlying content and citation footprint exists, it keeps earning mentions across new prompt phrasings and new AI model versions without requiring a fresh campaign every time.

Worked Example: A Founder Evaluating Two Agencies

A SaaS founder gets two proposals. Agency A quotes a flat $5,000/month "AI optimization" retainer with no baseline shown and a vague "we'll improve your AI presence" promise. Agency B runs a live audit showing the founder's current AI answers, names two competitors currently winning specific prompts, and proposes GEO content targeting those exact gaps with monthly re-checked reporting. Agency B's proposal is easier to hold accountable, because it names the starting point and the target.

The practical starting point is almost always the same: look at what AI engines say today, compare it honestly to competitors, and prioritize the two or three gaps that would matter most to a buyer making a real decision this quarter.

A useful gut check for any founder or marketing lead: if you can't currently produce a screenshot of the AI answer in question, you don't yet have the visibility into whether this is even a problem worth solving, and that screenshot should be the very first artifact any engagement produces.

It's also worth flagging what this doesn't fix on its own — a weak product, an unclear offer, or claims a business can't actually back up will eventually show up as inconsistency across sources, which AI engines are increasingly good at noticing.

The Follow-Up Question Founders Skip

Ask what happens if the work doesn't move the baseline after 3-4 months. A results-oriented agency should have a clear answer — reprioritizing content, testing different prompt angles, or revisiting technical crawler access — rather than a vague reassurance that AI visibility "takes time" indefinitely.

Suggesting.ai treats this as a recurring discipline rather than a one-time project, because AI models update, competitors publish new content, and a citation earned six months ago can quietly erode if nothing reinforces it.

Suggesting.ai's approach keeps this grounded in what's provable — a documented before, a specific change, and a documented after — rather than a narrative about "AI-first strategy" that never resolves into a number a founder can actually check.

Suggesting.ai's free audit is deliberately the cheapest possible way to find out whether this is worth pursuing further, since a founder or marketing lead can see the real gap before allocating any budget to closing it.