How to Select an Answer Engine Optimization Agency

Start with a live test, not a pitch

The fastest way to separate a real answer engine optimization agency from one repackaging old SEO decks is to ask them to run a live audit on your brand before you sign anything. A credible agency will pull a set of prompts a buyer would actually ask, run them across ChatGPT, Perplexity and Gemini, and show you exactly how your brand is or isn't showing up today. If an agency can't or won't do this upfront, that's the first red flag.

It's worth treating this selection process the same way you'd vet any specialized vendor: ask for references, ask what happens when results are slower than expected, and ask how they'd handle a category as sensitive as regulated finance if that applies to you.

None of this needs to feel adversarial. The best agency relationships start from a place of mutual specificity — both sides being precise about what's being measured and why — rather than a generic sales-and-signature process.

What to look for in their methodology

Ask them to walk through their process in specifics: which crawlers do they recommend allowing (OAI-SearchBot, ChatGPT-User, PerplexityBot, Google-Extended, Claude-SearchBot), how do they structure content for AI parsing, and how do they build the third-party citations models actually pull from. Vague language like 'we optimize for AI visibility' without naming any of this usually means there's no real methodology behind it — just SEO work relabeled.

• Do they audit before proposing a strategy?
• Can they name the crawlers and structured data they work with?
• Do they separate generative engine optimization from paid AI ads in their reporting?

Pay attention to how an agency talks about failure cases too — a team that can describe what didn't work on a past engagement, and why, is usually more credible than one that only talks about wins.

Red flags to walk away from

No legitimate agency can guarantee that ChatGPT will cite you for a specific prompt — the models are probabilistic and controlled by the platforms, not the agency. Walk away from anyone promising guaranteed placement. Same goes for invented case studies or client results that sound too clean; ask for methodology and process instead of unverifiable outcome claims, since most agencies in this space (including Suggesting.ai) won't publish specific client results for confidentiality reasons but should be transparent about how the work is done.

Don't underestimate the value of a short pilot period before a long retainer commitment. A 60-90 day initial scope with clearly defined checkpoints gives both sides room to confirm the fit before locking into a longer agreement.

It's also reasonable to ask how the agency itself uses AI tools internally — an agency that understands these models well enough to sell citation strategy should be comfortable explaining, in plain terms, how a model actually decides what to surface.

A useful tie-breaker when two agencies seem equally strong on paper: ask each for a two-minute unscripted answer to a tough client question you invent on the spot, and judge the reasoning, not the polish.

Worked example: evaluating for a trading platform

Say you run a licensed trading platform and you're comparing three agencies. Ask each one to show you, live, how ChatGPT currently answers 'best regulated trading platform for beginners' and whether you or your competitors appear. The agency that can do this in the first meeting, explain why the current citations look the way they do, and outline a specific fix — content restructuring, crawler changes, citation building — is worth a follow-up call. The one that can only talk in generalities about 'the AI revolution' is not.

If an agency's only case studies are in industries wildly different from yours — say, all DTC ecommerce when you're a regulated B2B firm — ask directly how their approach adapts, since the citation dynamics genuinely differ by category.

It's also worth asking what tools they use to run the prompt audits, and whether those tools are proprietary or standard. Neither answer is automatically better, but it should be explainable in plain language, not hand-waved as 'our secret process.'

What Suggesting.ai does differently

Suggesting.ai leads with a free audit delivered in 48 hours across your brand and named competitors, covering current AI citation status, crawler access issues, and content gaps — before any retainer discussion. That audit is the selection tool: you see the actual methodology in action on your own brand, in your own category, rather than trusting a generic pitch. When ChatGPT is suggesting a competitor instead of you, the audit shows exactly why.

Contract terms matter here too: confirm you're not locked into a long minimum term before the agency has shown any measurable movement in your citation status, especially for a discipline this new where best practices are still evolving.

How to check ongoing performance once you sign

Once engaged, insist on monthly reporting that separates paid AI ad performance (CPM, CPC, conversions) from organic citation share (mention rate across your tracked prompt set, AI-referred sessions in analytics). If reporting stays vague after month two, that's a signal to revisit the relationship — the same standard you used to select the agency should apply to keeping them.

Finally, trust your own eyes over any agency's self-reported numbers — ask them to show you the live prompt results in a shared screen during a review call, not just a static PDF report you can't independently verify.