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What To Ask Before Hiring An AI SEO Company

De Wiki CEPEM

Establish What They Will Not Promise Nobody controls what a model says. There is no submission process, no ranking factor to buy, and no relationship with a provider that reserves you a place in an answer. Any guarantee of a specific position or mention is describing something the agency cannot deliver.

This matters more than any subtlety about model training. It means recommendations are built largely from pages that exist right now, which is why a page published this month can influence an answer this month, and why a brand absent from the retrievable web is absent from the answer regardless of how well known it is offline.

Ask What They Cannot Measure A competent practitioner will volunteer limitations before you ask. Assistant answers vary between sessions. Referral attribution is inconsistent. Some assistants cannot be measured reliably at all. Sample sizes in the published research are small.

Assume the pitch is good. Everyone's pitch is good, and the vocabulary in this field is easy enough that a competent salesperson can hold a convincing conversation without anyone behind them who can do the work.

Entity Coherence Before a model can recommend you it has to be confident that the scattered mentions of your name refer to one company. That confidence comes from consistency across the details that identify you.

One final question is worth reserving for the end of the meeting. Ask what they think you should stop doing. An agency with a real diagnosis always has an answer, and an agency that only wants to add work to your existing spend usually does not. generative engine optimization

Absence is not disqualifying on its own, since their category is crowded and they may serve a niche. But they should have an interesting answer, and the answer should not be defensive. A practitioner who has run this test on themselves will have thought about it and will tell you what they found.

Ask How They Price It Retainers dominate this field and mostly make sense, because the work is continuous and the third party portion is slow. What matters is what the retainer covers and whether the scope is written down in units you can count.

Ask What Happens in Month One A proposal that opens with content production has skipped the diagnosis. There is no way to know what to write before you know which questions matter, which assistants answer them badly and which sources they draw on.

One caveat worth writing on the report: any figure produced by a third party visibility tool is a sample from that tool's own prompt set and infrastructure, not a census. Attribute it to the tool by name whenever you quote it, and never present it as a count of what happened. generative engine optimization

Check your robots file, then check your server logs for the relevant agents and see what status codes they receive. A site that returns a challenge to every non-browser request is invisible to this entire channel, and nobody involved will have thought of it as a marketing decision.

What We Genuinely Do Not Know Several things are worth admitting rather than papering over. We do not know how the systems weight their signals against each other. We do not know how much residual influence training data has once retrieval is involved. We cannot reliably distinguish a change in your visibility from a change in the model's behaviour.

Check How They Handle Numbers Statistics circulate in this field faster than anyone checks them. A widely repeated claim about referral traffic growth turned out to rest on a sample of nineteen analytics properties. A frequently cited conversion comparison came from a vendor that sells the service.

One final practical check costs nothing. Ask for a client reference in a category structurally similar to yours rather than a famous name, and when you speak to them ask what the agency got wrong rather than what went well. References are chosen to be positive, so the useful information is in how candidly they describe the difficult parts.

Nobody outside the labs has the full picture, and anyone claiming otherwise is guessing with confidence. What we do have is a large volume of observable behaviour, published research and the citations that several assistants display openly, and those three together support some reasonably firm conclusions.

Ask to See a Prompt Set The first question is the most revealing. Ask them to show you the prompt set from a current or recent client, with the client's name removed. A team doing real work has this and will show it, because the prompts are craft rather than secret sauce.

Every search marketing agency now offers this service. Some of them have built genuine capability, and some have added a page to their site and a line to their proposal template. From the outside the two look identical, because the vocabulary is easy and the results are hard to verify.

Be wary of pricing tied to a proprietary visibility score, since the vendor controls both the number and the prompt set that produces it. Be equally wary of performance pricing tied to mentions, which sounds aligned and creates pressure to game the measurement rather than improve the business.