Be the venue the AI names.
A parent asks ChatGPT, Gemini, Perplexity or Google for the best birthday party spot in town and gets two or three names back. AI search work is making sure yours is one of them, on the questions your guests actually ask. It runs on accurate listings, recent reviews and pages that say real things.
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Whether an assistant names you when someone asks for the best in your city. Measured in ranges, never as one score.
- Sold in
- Foundation, then Full Calendar
- Runs with
- Local SEO, as one job
- Reported as
- A range, with the runs printed
- You own
- The prompt list and Search Console
Nothing exotic. The public record about your venue, made right.
Assistants read the same public record a person would, and they favour the sources they trust most. So the work is mostly getting that record complete, consistent and specific, then checking what the assistants say back.
A consistent record
Same name, address, hours and attributes on your site, your Google profile and every listing. When the sources disagree, you're a risky thing to recommend, so you get left out.
Pages that answer
Ages, group sizes, price, duration, what's included, parking, allergies. Plain sentences with real numbers on the page, not buried in a PDF or a photo of a flyer.
A site machines can read
Text in the HTML, not locked inside a booking widget. LocalBusiness markup for your address, hours and booking link. Boring work, and it's most often the actual blocker.
Recent, specific reviews
Reviews are the strongest outside signal about a venue. Recency matters, and reviews that mention parties are what get you named on party questions. This shares the review work in local SEO.
Mentions by others
Tourism sites, the local paper, community listings, school and league pages. A third party naming you carries more weight than anything you say about yourself, so I pursue them one at a time.
Measured, every month
A list of real prompts, run several times on several assistants, with your nearest competitors checked on the same questions. Reported as a range, with the number of runs beside it.
Not included: llms.txt files, FAQ schema sold as an AI tactic, or an "AI visibility score". The next section says why.
What an assistant gets wrong, and what's being sold that doesn't work.
This is the noisiest corner of marketing right now, so half of this section is me telling you what not to buy. The sources are printed so you can check me.
I can't guarantee a mention in an AI answer. Nobody can. There's no submission form, no paid placement and no back channel.
The assistant has your old hours.
It says you close at nine on Saturdays, or quotes a party price from two years ago. I find the source it's reading, fix it there, and fix every other listing that disagrees.
Someone quoted you for llms.txt.
Ahrefs tracked 137,210 domains and 97% got zero requests for the file in a month. Google says it doesn't use it. If you were quoted for adding one, you were quoted for nothing.
Sources: Ahrefs, June 2026. Google Search Central, May 2026.
FAQ schema is still being sold as the fix.
Google stopped showing FAQ rich results on May 7, 2026 and ended API support in August 2026. Answering real questions on the page still matters. The markup no longer buys you anything.
Source: Google Search Central, May 2026.
An "AI visibility score" can't be a measurement.
Ask the same question three times and only 2.2% of the cited sources repeat. A single number that can't be reproduced is a dashboard built to justify a retainer. That's why I report a range, and why the prompts are yours to run on your own phone.
Sources: Growth Memo, June 2026. arXiv 2603.08924.
Not a separate package. It's local SEO work, done properly.
Most of what moves AI answers is the same work that moves the map pack, so I don't sell it as its own line item. The audit and fixes happen in the Foundation build, then it runs every month inside the Full Calendar retainer.
FoundationOne time
A 4 to 6 week build. Site, booking funnel, Google profile, tracking and email authentication, done once and done right.
The AI search audit, and the fixes that come out of it, are done here.
One location$9,500
Two locations$14,500
Three locations$19,500
Half to start, half on launch. Skip it if your site already works.
Full CalendarMonthly
All four jobs, every month, starting the month after launch. Priced by your venue's annual revenue.
AI search runs here every month, inside Get found, alongside local SEO and reviews.
$1.5M to $2.5M revenueMinimum ad spend $1,000 a month$1,750
$2.5M to $5M revenueMinimum ad spend $2,000 a month$2,950
$5M+ or multi-siteMinimum ad spend $3,500 a month$4,500
Per month. Ad spend is paid straight to Google and Meta. Six-month first term, then month to month.
If someone is quoting you a standalone AI visibility package, ask them exactly which tasks are in it. Most of the honest answers are listings, reviews and pages.
What venue owners ask about AI search.
How long until an assistant names us?
Slow and lumpy. These systems re-read the web on their own schedule, so a fix made in March can show up in April or in June. A prompt can start naming you, then drop out for a week for no reason either of us can see.
That's why I report the trend across a quarter, not month-to-month excitement.
Which assistants do you check?
The ones your guests actually use: ChatGPT, Gemini, Perplexity and Google's AI Overviews. The prompt list is written with you, printed in the report, and you can run any of it yourself to check my range against what you see.
Is this different from local SEO?
Mostly no, which is the point. Accurate listings, recent reviews and specific pages win in both. The extra work here is measuring the answers and chasing the sources an assistant gets wrong. That's why I run them as one job.
Can you guarantee we'll show up?
No. I can't guarantee a mention in AI answers or a ranking anywhere else, and anyone who does is guessing. What I can promise is that the work is the kind that was worth doing before AI search existed, and will be if it changes shape again next year.
What won't this do?
It won't replace local search or ads. Today it's a small share of how people find a venue, and it's growing, which is why it's worth doing now. It also can't make a poorly reviewed venue the recommended one. These systems lean on reviews, so the fastest AI work is often getting your Saturday staff to ask for them.