AI Search
Updated July 2026
How Does a Security Company Get Recommended by ChatGPT? The 5-Step 2026 Playbook
The short answer
A security company gets recommended by ChatGPT by becoming the easiest company in its metro for an AI to cite: pages that answer the questions buyers actually speak, real verifiable numbers, a deep and consistent review footprint, structured data on the website, and presence on the sources AI engines pull from. The bar is lower than you think — in our July 2026 benchmark, only 93 of 1,936 residential alarm companies (4.8%) across 32 US metros were ever named by ChatGPT. In most cities you're competing for open slots, not against entrenched winners.
Key facts
- ▸July 2026 AISE benchmark: only 93 of 1,936 residential alarm companies (4.8%) across 32 US metros were ever named by ChatGPT — over 95% of your competitors have done nothing.
- ▸In Orlando, 90 companies were checked and zero were named — entire metros have completely open AI-recommendation slots.
- ▸The playbook has five steps: answer pages, citable numbers, reviews and entity consistency, structured data, and presence on AI source material.
- ▸None of the five steps require ad spend — this is publishing and consistency work, not a bidding war.
- ▸AI engines keep citing sources they've learned to trust, so early movers in each metro tend to keep their spots.
What 'recommended by ChatGPT' actually means
When a buyer asks ChatGPT 'who's the best home security company in my city?', the AI writes a short answer naming three to five companies, usually with a sentence about each. Getting recommended means being one of those names, consistently, across the different ways buyers phrase the question. It is not a ranking you buy and not a directory you submit to — the AI assembles its answer from what it can read and verify about companies in that metro. Which means the job is simple to state: make your company the easiest one in your market for a machine to understand, verify, and quote. I spent 23 years building security companies — including Protect America, where we created 800,000+ customer accounts and did over $600 million in sales — and I can tell you this is the cheapest customer-acquisition shift I've ever seen. The playbook below is the exact sequence we use.
The bar is lower than you think
In July 2026 we asked ChatGPT the questions real buyers ask — 'who's the best home security company in [city]?', 'who should I hire?' — across US metros, then checked which local companies it actually named.
This is the opposite of the Google era, where you fought a decade of entrenched SEO. In AI answers, most metros have empty or nearly empty podiums. You're not dethroning anyone. You're showing up to an empty stage.
Step 1: Publish answer pages that match spoken questions
This is the heaviest lift and the highest payoff. ChatGPT answers questions, so it needs question-shaped content to build from. Write pages — real, substantial pages, one topic each — that answer what buyers in your city actually say out loud. Plain English, direct answer in the first paragraph, specifics throughout. Start with these:
- ▸'Who's the best home security company in [city]?' — an honest local guide that earns the right to include you
- ▸'How much does a home security system cost in [city]?' — with real price ranges, not 'call for quote'
- ▸'Should I choose a local alarm company or a national brand?' — the comparison buyers are already making
- ▸'How fast can I get an alarm system installed in [city]?' — with your actual timeline
- ▸'What happens when my alarm goes off?' — the monitoring process, step by step
Two pages a week gets you a real library in two months. Nobody in your metro has written these — that's not a guess, it's what the benchmark shows.
Step 2: Give the AI real numbers it can cite
AI engines quote specifics and skip fluff. 'Trusted local security experts' gives ChatGPT nothing; 'installing in Hillsborough County since 2004, average install inside five business days, monitoring from $32/month, 4.8 stars across 240 reviews' gives it four facts it can repeat to a buyer. Audit every page on your site and replace vague claims with verifiable numbers: years in business, install counts, response and install timelines, service-area ZIP codes, pricing ranges, review counts. Only publish what's true — AI engines cross-check against your reviews and listings, and getting caught inflating is worse than being vague.
Step 3: Build review depth and entity consistency
Before naming you, an AI weighs what the rest of the internet says about you. Two jobs here. First, reviews: make the ask automatic — every completed install and every service call gets a review request the same day. Steady recent reviews with real written detail beat a big stale total. Second, consistency: your exact business name, address, and phone must match everywhere — Google Business Profile, Yelp, BBB, industry directories, your own footer. To a machine, 'ABC Security' and 'ABC Security Systems LLC' at two addresses look like two shaky companies instead of one solid one. Clean this up once, then guard it.
Step 4: Add structured data so machines can read you
Structured data is machine-readable code on your site that states plainly what your business is: name, type, address, service areas, hours, services, reviews, FAQs. AI engines and crawlers lean on it because it removes guesswork. Most dealer sites have none — which means every machine reading them is guessing. Have a developer add LocalBusiness and Service markup site-wide and FAQ markup on your answer pages. It's roughly a day of work, it's the cheapest step in this playbook, and it makes every other step easier for a machine to consume.
Step 5: Be present where AI engines pull from
ChatGPT doesn't only read your website — it triangulates from sources across the web. You want your company appearing, consistently described, on the surfaces AI engines treat as evidence:
- ▸Google Business Profile — complete, categorized correctly, posting actively
- ▸Major review platforms — Google, Yelp, BBB, with fresh activity
- ▸Local press and community mentions — sponsorships, chamber membership, local news
- ▸Industry directories and associations your buyers' AI might cross-reference
- ▸Consistent citations anywhere your city gets written about — neighborhood guides, 'best of' lists, local blogs
Every consistent mention is another vote a machine can count. Scattered, mismatched mentions are votes against you.
The playbook at a glance
| Step | What you do | Cost | When it starts working |
|---|---|---|---|
| 1. Answer pages | Write 5–10 pages answering spoken buyer questions per city | Time, or a writer | Weeks in thin metros; compounds for years |
| 2. Citable numbers | Replace vague claims with verifiable specifics site-wide | A rewrite | Immediately makes every page quotable |
| 3. Reviews & consistency | Automate review asks; make name/address/phone identical everywhere | Near zero | Cleanup in weeks; review weight in ~90 days |
| 4. Structured data | LocalBusiness, Service, FAQ markup on the site | ~1 day of dev | Next time engines crawl your site |
| 5. Source presence | Google Business Profile, directories, local mentions | Mostly time | Builds steadily, month over month |
What not to waste money on
A wave of vendors is selling AI-visibility snake oil to dealers right now, so let me save you some checks. You cannot pay OpenAI to be recommended — anyone selling 'guaranteed ChatGPT placement' is lying. Mass-generated AI spam pages don't work; engines are getting better at ignoring thin content, and a hundred junk pages lose to five real ones. Don't buy fake reviews — inconsistency between your reviews and reality is exactly what cross-checking machines catch. And don't rebuild your website before fixing your content; the AI reads words, not design. Every dollar here should go toward being more true, more specific, and more verifiable — not toward tricks.
Where to start: know your baseline
Run the check before you run the playbook. Ask ChatGPT the buyer questions for your city and see whether you're named today, who is, and what the AI says about them. That tells you which step matters most in your metro — and gives you the before-picture you'll want in 90 days.
Want to see whether ChatGPT recommends your company today? The free AISE audit checks in 60 seconds.
Run my free AI-visibility audit →Frequently asked questions
How long does it take to get recommended by ChatGPT?
In thin metros — and the benchmark shows most are thin — we've seen companies start appearing within weeks of publishing answer pages and fixing structured data. Dense markets like Miami take a few months. No honest person can promise a date, but the work compounds: once AI engines learn to trust your pages, they keep citing them, unlike ads that stop the day you stop paying.
Can I just use AI to write all my answer pages?
Use it as a drafting tool, not a factory. Pages win by containing things only you know — your real timelines, your pricing, your service area, your process, your local knowledge. AI-generated generic content has none of that, and engines are increasingly good at ignoring it. Five specific, truthful pages beat a hundred thin ones every time.
Does getting recommended by ChatGPT also help my Google rankings?
Yes, substantially. Every step in this playbook — question-shaped content, specific facts, review velocity, consistent listings, structured data — is also what Google's systems reward, including the AI answers Google now shows above regular results. It's one body of work that pays on both surfaces. Nothing here cannibalizes your existing SEO; it strengthens it.
My market has a company that's always named. Can I displace them?
You usually don't need to displace anyone — AI answers name three to five companies, and in most metros the benchmark found only two to eight names total across every question we asked. You're filling empty slots. Match the incumbent's citability, exceed their review velocity and specificity, and you appear alongside them first, then ahead of them.
Should I hire an agency or do this playbook myself?
A disciplined owner can absolutely do this in-house: the steps are publishing, consistency, and markup, not secret technology. The honest constraint is time — two answer pages a week plus review operations is a real commitment. If you outsource, judge vendors on whether they produce specific, truthful, citable content about your company, and run the free audit first so you can measure them.
What does it cost to get recommended by ChatGPT?
The playbook itself costs mostly time: writing answer pages, cleaning listings, automating review requests, and about a day of developer work for structured data. There's no media budget because there's nothing to bid on. That's exactly why it favors independents — for once the constraint isn't spend, it's willingness to do work 95% of dealers skip.
Written from experience by
Thad Paschall — Founder, AI Security Edge
For the first ten years, Thad Paschall built his security company the traditional way — a fleet of trucks, technicians installing hard-wired and then wireless systems, serving both residential and commercial customers. In the 2000s he pioneered one of the industry's first DIY home-security business models, the work most of the industry remembers him for — going on to create more than 800,000 customer accounts and over $600 million in revenue across 23 years at Protect America — top-15 on the SDM 100 for over a decade. He has run the trucks, pulled the wire, and reinvented the business model. That's why AI Security Edge is built by someone who knows the security business from the field up — not a generic marketing agency.