Questions to Ask Before Hiring an AI Search Optimization Agency

Question one: which AI engines do you actually track?

"AI search" is not one platform — ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot all retrieve and cite content differently. An AI search optimization agency should name the specific engines it tracks for your account and explain, at least at a high level, how each one's citation behavior differs. An agency that only talks about "AI search" in the abstract likely hasn't built engine-specific measurement, and may be relying on a single tool's dashboard rather than genuinely testing across platforms.

This matters because a strategy that works for ChatGPT's retrieval pattern won't automatically transfer to Perplexity or Google's AI Overviews, each of which weighs freshness, source authority, and structured data somewhat differently. This is a pattern worth watching closely, since the gap between brands that adapt early and those that wait tends to compound rather than stay fixed. That distinction sounds subtle in the abstract, but it shows up clearly the moment two competing brands are compared side by side in the same AI answer.

Question two: how do you define and measure success?

Push past "we improve AI visibility" and ask for the actual metrics: citation frequency by prompt, referral traffic from AI sources, and downstream conversion where trackable. If the agency's answer stops at mention counts with no line to business outcomes, that's a gap worth flagging before signing. A precise answer here usually signals a team that has actually built reporting infrastructure, rather than one improvising a dashboard for the sales call. Teams that treat this as a one-time project rather than an ongoing discipline usually see early gains fade within a couple of quarters. Getting this right early avoids a costly redo later, once a brand has already built months of content on the wrong foundation.

• What specific metrics appear in a monthly report?
• How is AI-referred traffic distinguished from other organic traffic?
• Do reports connect citations to leads, demos, or revenue?
• How often is the audit re-run to track progress?

Question three: is paid work separated from organic work?

If ChatGPT Ads or similar paid placement is part of the engagement, insist that its performance be reported separately from organic generative engine optimization results. Blending the two into one number makes it impossible to know which lever is actually producing results, and makes it harder to reallocate budget intelligently at renewal time. It also makes it harder to hold the agency accountable if one service underperforms while the other quietly carries the blended average.

A transparent AI search optimization agency will welcome this separation because it makes their organic work's value easier to prove, not harder. The underlying mechanics differ by platform, but the core principle — write for direct extraction, not persuasion alone — holds across all of them. The difference tends to compound: a small early edge in citation share often grows rather than shrinks as more buyers repeat the same research pattern.

Question four: how do you handle our industry's specific constraints?

Regulated industries — finance, healthcare, legal — have real constraints on what can be publicly claimed. Ask the agency directly how they've handled compliance review processes before, and whether they have any relevant experience in your sector. An agency unfamiliar with these constraints can produce content that's technically citable but non-compliant, which creates real risk. Even outside regulated sectors, industry-specific terminology and buyer language vary enough that a generalist approach often underperforms one built around actual domain familiarity.

For a forex broker specifically, ask how they'd handle licensing disclosures, spread and leverage claims, and risk warnings within citable content — these are the facts that both regulators and AI models care about getting exactly right. None of this replaces good judgment about your own market; it simply gives that judgment a new channel to act through. A brief follow-up question is usually enough to reveal whether the agency has genuinely done this work before or is answering from a script.

Question five: can I see a sample audit before signing?

Any agency worth hiring should be comfortable showing — or better, running — a sample audit against your actual brand and a handful of real buyer prompts before you commit to a retainer. This is the single best way to evaluate methodology without financial risk. Suggesting.ai builds this into the process by default: a free, 48-hour brand and AI presence audit comes before any commercial discussion. Seeing the actual prompts and answers, rather than a summarized score, is what separates a credible audit from a marketing exercise.

When ChatGPT is suggesting a vendor in your category, you deserve to see the actual evidence of where you stand before paying anyone to fix it. Smaller teams in particular benefit from this kind of prioritization, since it prevents scarce content resources from being spread too thin.

Putting the answers together

None of these five questions require the agency to reveal proprietary methodology — they simply require specificity where marketing language usually offers vagueness. An agency that answers all five clearly, with named engines, defined metrics, separated reporting, sector-specific awareness, and a real audit sample, has demonstrated more in one conversation than most sales decks show in an hour. Treat hesitation or vagueness on any single question as a reason to keep evaluating other options rather than assuming it will resolve itself once a contract is signed. It's worth revisiting this work on a regular cadence, since competitor content and model behavior both continue to shift over time.