Answer Engine Optimization vs Traditional SEO
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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.
Ask one final question before signing: what would you tell me if this is not working after six months? The answer reveals whether they have thought about failure, and an agency that has not thought about failure will not recognise it. Ai Search Visibility
That means an unlinked mention in a trade publication can be worth more here than a linked mention in a low quality outlet, which inverts the priority most digital public relations programmes were built on.
What can legitimately be committed to is process: the prompt set will be run on a schedule, the raw answers will be kept, specific technical fixes will be made by a date, a defined number of third party listings will be corrected. Commitments about inputs are honest. Commitments about outputs are not.
The defensible version states the mechanism, cites the available evidence with its sample sizes, presents your own segmented data however thin, and is explicit that most of the channel's value is not measurable through referrals at all.
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.
Press coverage spent two decades being valued in this industry mainly for the links it carried. That was always a reductive way to think about it, and it has now become an actively misleading one, because the mechanism that gives coverage its value here has nothing to do with links at all.
Track coverage for accuracy rather than only for volume. A monthly search for mentions of your company, read with an eye to whether the details are correct, produces a steady stream of small correction requests with a high acceptance rate. It is unglamorous work, it costs an hour, and it repairs sources that may otherwise feed answers about you for years.
Ask who specifically will do the work, and ask to meet them. Capability in this field is thinly distributed and frequently sits with one or two people inside an agency of any size. A pitch delivered by a strategist who then hands the account to a junior is common enough to be worth checking for directly, and the question is easy to ask without giving offence.
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.
One brief worth writing once and reusing is a factual sheet for anyone writing about you: canonical name, what you do in a sentence, who you serve, where you operate, when you were founded, who leads it, and three concrete figures you are happy to see quoted. Writers use what is easy to find, and supplying this removes the friction that otherwise produces a paragraph of adjectives.
If you want your own figure, the segment worth building is narrower than most people set up. Compare assistant referrals against branded organic search rather than against all organic, over at least a quarter, and exclude any campaign traffic. It will be a small sample and it will be about your audience, which makes it more useful for your decisions than a published study about somebody else's.
Rule Out the Mechanical Explanations Before concluding the gap is editorial, confirm you are readable. Check robots.txt for the relevant crawlers, check your server logs for what those agents actually receive, and load your key pages with scripts disabled to see what survives.
The acceptance rate on polite, specific correction requests is considerably higher than people expect, because no publication wants to be wrong. It costs an email and it fixes a source that may be feeding answers for years.
Assistant measurement is not there yet. There is no console reporting how often you were named, answers vary between sessions and accounts, and referral traffic is attributed inconsistently across assistants. The honest approach is a fixed prompt set run on a schedule, with the raw answers kept, and any tool metric attributed to the tool that produced it.
This claim circulates constantly and it is usually presented with more confidence than the evidence supports. It is also probably directionally true, for reasons that are structural rather than mysterious.
What the Evidence Actually Is The figure quoted most often comes from Opollo, which reported assistant referred traffic converting at 14.2 percent against 2.8 percent from conventional search. The sample was 312 business to business brands, attributed through UTM parameters, covering the third quarter of 2024 through the first quarter of 2025.
Ask one final question before signing: what would you tell me if this is not working after six months? The answer reveals whether they have thought about failure, and an agency that has not thought about failure will not recognise it. Ai Search Visibility
That means an unlinked mention in a trade publication can be worth more here than a linked mention in a low quality outlet, which inverts the priority most digital public relations programmes were built on.
What can legitimately be committed to is process: the prompt set will be run on a schedule, the raw answers will be kept, specific technical fixes will be made by a date, a defined number of third party listings will be corrected. Commitments about inputs are honest. Commitments about outputs are not.
The defensible version states the mechanism, cites the available evidence with its sample sizes, presents your own segmented data however thin, and is explicit that most of the channel's value is not measurable through referrals at all.
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.
Press coverage spent two decades being valued in this industry mainly for the links it carried. That was always a reductive way to think about it, and it has now become an actively misleading one, because the mechanism that gives coverage its value here has nothing to do with links at all.
Track coverage for accuracy rather than only for volume. A monthly search for mentions of your company, read with an eye to whether the details are correct, produces a steady stream of small correction requests with a high acceptance rate. It is unglamorous work, it costs an hour, and it repairs sources that may otherwise feed answers about you for years.
Ask who specifically will do the work, and ask to meet them. Capability in this field is thinly distributed and frequently sits with one or two people inside an agency of any size. A pitch delivered by a strategist who then hands the account to a junior is common enough to be worth checking for directly, and the question is easy to ask without giving offence.
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.
One brief worth writing once and reusing is a factual sheet for anyone writing about you: canonical name, what you do in a sentence, who you serve, where you operate, when you were founded, who leads it, and three concrete figures you are happy to see quoted. Writers use what is easy to find, and supplying this removes the friction that otherwise produces a paragraph of adjectives.
If you want your own figure, the segment worth building is narrower than most people set up. Compare assistant referrals against branded organic search rather than against all organic, over at least a quarter, and exclude any campaign traffic. It will be a small sample and it will be about your audience, which makes it more useful for your decisions than a published study about somebody else's.
Rule Out the Mechanical Explanations Before concluding the gap is editorial, confirm you are readable. Check robots.txt for the relevant crawlers, check your server logs for what those agents actually receive, and load your key pages with scripts disabled to see what survives.
The acceptance rate on polite, specific correction requests is considerably higher than people expect, because no publication wants to be wrong. It costs an email and it fixes a source that may be feeding answers for years.
Assistant measurement is not there yet. There is no console reporting how often you were named, answers vary between sessions and accounts, and referral traffic is attributed inconsistently across assistants. The honest approach is a fixed prompt set run on a schedule, with the raw answers kept, and any tool metric attributed to the tool that produced it.
This claim circulates constantly and it is usually presented with more confidence than the evidence supports. It is also probably directionally true, for reasons that are structural rather than mysterious.
What the Evidence Actually Is The figure quoted most often comes from Opollo, which reported assistant referred traffic converting at 14.2 percent against 2.8 percent from conventional search. The sample was 312 business to business brands, attributed through UTM parameters, covering the third quarter of 2024 through the first quarter of 2025.
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