What to Ask Before Hiring an AI SEO Company
Sam Titus
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A reasonable definition: after two quarters, no increase in mentions on buying intent prompts, no improvement in the accuracy of how you are described, and no new citations from the sources your category's answers are built on. If all three are flat, the work is not landing.
Watch the quality of enquiries as well as the count. A common early signal is that conversations start further along, with the prospect already aware of your price band, your typical timeline and what you do not do, because a machine told them before they arrived. That shows up in sales cycle length and in fewer wasted calls long before it shows up in any dashboard.
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.
Run each one across the assistants your customers use, and write down the answers verbatim. Do this from a signed out session so your own history does not colour the result. What you want at the end is a simple table: which prompts named you, which named competitors, and which sources got cited.
Keep the raw text of every answer, not just a tally. Six months in, the archive is the most useful thing you own, because it lets you see exactly when a competitor entered the shortlist, which source appeared alongside them, and whether your own description shifted from something a marketer wrote to something a customer would recognise. A score with no working behind it cannot tell you any of that. ai visibility agency
Getting onto that list is not luck and it is not a trick. It is a sequence of fairly unglamorous steps that make it easy for a model to find you, understand you and feel safe naming you. This is what that sequence looks like in practice. ai visibility agency
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.
The third question matters most. A good answer names a cause, attaches a number and admits an alternative explanation. A weak answer describes activity in the language of effort without connecting it to anything observable.
Those pages are your priority. Being listed accurately on the five pages assistants already quote is worth more than publishing twenty new articles nobody retrieves. Check each one for whether you appear, whether the details are correct, and whether the platform allows corrections.
This frequently produces the first result of the engagement, because access failures are total and fixing them can change answers within days. It should also be short. A fifty page technical audit at this stage is usually padding drawn from a generic template.
Give the Machine a Stable Identity to Attach To Models build a picture of your company from scattered mentions. That picture holds together only if the details are consistent. Your legal name, trading name, founding year, location, leadership and product names should read the same on your website, your structured data, your social profiles and every directory that lists you.
Month Two: Corrections and the First Rewrites The work should now be concentrated on the recurring sources from the baseline. Expect a list of listings claimed, details corrected and errors submitted, with names and dates attached.
You cannot control those pages, but you can influence them. Claim and complete your listings. Correct factual errors where the platform allows it. Respond to reviews. Give journalists and analysts accurate material to work from. Where a comparison article about your category exists and gets your details wrong, a polite correction is often accepted.
Ask specifically who checks factual accuracy before publication and what happens when the writer does not know the answer. A process that has no step for asking you is a process that will eventually publish something untrue about your business.
Publish the Pages Assistants Reach For Certain formats get quoted far more than others because they answer a question directly and can be lifted without distortion. Comparison pages, alternatives pages, definitional explainers, specification tables and honest pricing pages all fall into this group.
One reframing helps when presenting this internally. Report the channel as influence rather than acquisition. Acquisition framing invites a comparison against paid media on cost per lead, which this channel will lose on the reported numbers even where it is working, because most of its effect never appears as a referral. Influence framing invites the right question, which is whether more of your market arrives already knowing who you are.
Make Sure the Crawlers Can Actually Read You A surprising number of brands are invisible for the dullest possible reason. Their robots.txt blocks the crawlers that feed AI systems, or their content only appears after JavaScript executes, or their key pages sit behind a form.
Watch the quality of enquiries as well as the count. A common early signal is that conversations start further along, with the prospect already aware of your price band, your typical timeline and what you do not do, because a machine told them before they arrived. That shows up in sales cycle length and in fewer wasted calls long before it shows up in any dashboard.
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.
Run each one across the assistants your customers use, and write down the answers verbatim. Do this from a signed out session so your own history does not colour the result. What you want at the end is a simple table: which prompts named you, which named competitors, and which sources got cited.
Keep the raw text of every answer, not just a tally. Six months in, the archive is the most useful thing you own, because it lets you see exactly when a competitor entered the shortlist, which source appeared alongside them, and whether your own description shifted from something a marketer wrote to something a customer would recognise. A score with no working behind it cannot tell you any of that. ai visibility agency
Getting onto that list is not luck and it is not a trick. It is a sequence of fairly unglamorous steps that make it easy for a model to find you, understand you and feel safe naming you. This is what that sequence looks like in practice. ai visibility agency
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.
The third question matters most. A good answer names a cause, attaches a number and admits an alternative explanation. A weak answer describes activity in the language of effort without connecting it to anything observable.
Those pages are your priority. Being listed accurately on the five pages assistants already quote is worth more than publishing twenty new articles nobody retrieves. Check each one for whether you appear, whether the details are correct, and whether the platform allows corrections.
This frequently produces the first result of the engagement, because access failures are total and fixing them can change answers within days. It should also be short. A fifty page technical audit at this stage is usually padding drawn from a generic template.
Give the Machine a Stable Identity to Attach To Models build a picture of your company from scattered mentions. That picture holds together only if the details are consistent. Your legal name, trading name, founding year, location, leadership and product names should read the same on your website, your structured data, your social profiles and every directory that lists you.
Month Two: Corrections and the First Rewrites The work should now be concentrated on the recurring sources from the baseline. Expect a list of listings claimed, details corrected and errors submitted, with names and dates attached.
You cannot control those pages, but you can influence them. Claim and complete your listings. Correct factual errors where the platform allows it. Respond to reviews. Give journalists and analysts accurate material to work from. Where a comparison article about your category exists and gets your details wrong, a polite correction is often accepted.
Ask specifically who checks factual accuracy before publication and what happens when the writer does not know the answer. A process that has no step for asking you is a process that will eventually publish something untrue about your business.
Publish the Pages Assistants Reach For Certain formats get quoted far more than others because they answer a question directly and can be lifted without distortion. Comparison pages, alternatives pages, definitional explainers, specification tables and honest pricing pages all fall into this group.
One reframing helps when presenting this internally. Report the channel as influence rather than acquisition. Acquisition framing invites a comparison against paid media on cost per lead, which this channel will lose on the reported numbers even where it is working, because most of its effect never appears as a referral. Influence framing invites the right question, which is whether more of your market arrives already knowing who you are.
Make Sure the Crawlers Can Actually Read You A surprising number of brands are invisible for the dullest possible reason. Their robots.txt blocks the crawlers that feed AI systems, or their content only appears after JavaScript executes, or their key pages sit behind a form.
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