How to Evaluate a Generative Engine Optimization Services Provider

Start with what they measure

The single fastest way to separate a real GEO provider from one repackaging old SEO deliverables is to ask what they report on monthly. A credible answer references specific, tracked prompts and whether the brand appeared, was cited, or was recommended across ChatGPT, Perplexity, Gemini, and Copilot. A vague answer like "we'll improve your visibility" with no defined measurement is a warning sign — visibility has to be measured against something concrete, or it's not being measured at all.

Ask, too, whether the provider tracks the same prompts consistently over time or samples different queries each month. Consistent tracking is what turns a report into a real trend line rather than a series of disconnected snapshots.

It also helps to ask how the provider defines a 'citation' versus a 'recommendation' versus simple 'appearance,' since these are meaningfully different outcomes. A brand mentioned in passing is not the same as a brand actively recommended as the best option, and a report that blends the two together without distinction is harder to trust.

Check the technical foundation first

Before any content strategy matters, a site has to be reachable by the crawlers models actually use — OAI-SearchBot, ChatGPT-User, PerplexityBot, Google-Extended, and Claude-SearchBot. A provider should audit robots.txt and CDN-level bot rules in the first week of engagement, not the third month. If a proposal jumps straight to content production without mentioning this, ask why.

• Robots.txt and CDN rules checked against named AI crawlers
• Confirmation the site isn't accidentally blocking citation bots while allowing training bots (or vice versa)
• A documented before/after crawl access report

This distinction between citation bots and training bots trips up a surprising number of sites. Blocking GPTBot for training-data reasons is a separate decision from blocking OAI-SearchBot, which is what actually powers live ChatGPT answers — a provider should be able to explain that difference clearly, not treat all AI-related bots as one setting to flip.

Ask what they won't promise

Any provider guaranteeing a brand will be the top ChatGPT recommendation on a given query is overselling. Model outputs vary by session, by user context, and by the model's own updates — no agency controls that fully. The honest pitch is that GEO work improves the odds and frequency of citation over time, backed by a documented baseline and tracked movement, not a guarantee of a specific outcome.

Be equally wary of a provider that promises a specific timeline down to the week for citation results. Third-party publications and platforms operate on their own schedules for reviewing and publishing outreach pitches, so a realistic provider will give a range and explain the variables, rather than a fixed date that sounds precise but isn't actually within their control.

A provider that acknowledges these limits upfront is usually more trustworthy long-term than one whose pitch has no uncertainty in it at all — GEO is still a young enough discipline that anyone claiming complete predictability is glossing over how model behavior actually works.

Request a sample or baseline audit

A provider worth hiring should be comfortable running a real audit against your brand before you commit to a long retainer — showing current crawler access, current citation presence, and a handful of real prompts run against the major models today. If a provider resists doing this or wants payment before showing any baseline data, that's a reason to keep evaluating other options.

A useful baseline audit also flags what's already working, not just what's broken. Knowing which prompts a brand already appears in — even occasionally — tells a provider where to reinforce an existing advantage rather than starting every prompt category from zero.

Finally, ask what happens after the trial period or first audit if the fit isn't right. A provider confident in its own work should have no issue with a short initial engagement before a longer commitment, rather than requiring a full annual contract upfront on the strength of a pitch deck alone.

The forex broker evaluation scenario

Say a broker is comparing three GEO providers. The strongest pitch will come from whichever one can already show, in the first conversation, how the broker currently appears (or doesn't) when ChatGPT is asked "best broker licensed in Bahrain" or similar regulatory-comparison prompts. That kind of scenario — three providers, one broker — is common in practice, and that's a baseline built from a real audit, not a template deck — and it's exactly what a free audit is meant to demonstrate before any commitment.

It's also useful for the broker to run the same evaluation prompts across all three providers being considered, using the exact same query wording each time, so the baseline comparison between competing pitches is apples-to-apples rather than each provider selectively showing its strongest example.

What Suggesting.ai offers as the evaluation step

Suggesting.ai's free audit, delivered in 48 hours, is designed to be that baseline: current crawler access, current citation and mention presence, and a first read on how a brand shows up across major models today. It's meant to be the thing a brand uses to evaluate not just Suggesting.ai, but any provider being considered — because suggesting a brand to AI starts with knowing where it stands right now, before comparing that baseline against whatever any other provider claims to offer.