Every few years something changes about how customers find the companies they buy from, and for a while almost nobody notices. The people who notice early get to hold positions that later cost a fortune to take.
We think that is happening again right now, and this time it is happening faster than it did during the rise of Google search and SEO.
Over the last twelve months the share of Americans using AI tools to find a local business went from 6% to 45%. Over those same twelve months, the share using Google for that job fell from 83% to 71%. Google is moving the same way. The page that used to hand you ten blue links and a map now writes its own AI-generated answer at the top and names a few companies inside it. Google's conversational version, AI Mode, passed a billion monthly users in May. Two thirds of US searches now end without anyone clicking through to a website at all.
Meanwhile almost nobody in the professional services world is doing anything about it. Across the largest consumer brands in the country, 16% of chief marketing officers systematically track how they appear in AI answers. In pest control specifically, very few companies are treating it as a channel yet. The ones that are show up plainly in our data, holding nearly every answer in their own city while much larger competitors are barely named. Most of the field has not started, which leaves an opportunity for pest control companies to reap the benefits of AI search if they act now.
We took the thirty questions American homeowners and facility managers ask when they need a pest control company, and we asked them in ten metro areas, repeatedly, across ChatGPT and Google. We collected 599 separate answers and recorded every company named and every source cited in each one. Then we set that against the search demand in the category, the number of pest control companies operating in each of those metros, and the current economics of every channel a pest control company buys customers through.
Why now rather than next year. The research on this is unusually clear. Positions in AI answers are sticky once won, the payoff for moving first is large, and it collapses to almost nothing once everybody has done it. We have put the studies and their numbers in Chapter 1 so you can judge that for yourself.
Ugi Djuric
Founder, ContentMonk
Three groups. How the buying behaviour has changed, how AI decides who to recommend, and what the ROI of AEO and AI optimisation looks like for a pest control company that acts on it.
68.01% of US Google searches end without a click to any website, up from 58.5% two years earlier. Applied to the 472,142 monthly US searches with pest control service intent that we measured, roughly 321,000 of them finish without anyone reaching a pest control company at all. The decision still gets made, from the answer on the page.
Over the same period the share using Google for that job fell from 83% to 71%, which puts AI tools third among the ways Americans find a local business, ahead of Yelp and TripAdvisor. Among 30 to 44 year olds it reaches 64%.
Somebody who has just found droppings asks who to call, reads a short answer and acts. Research joining a browsing panel to real ChatGPT, Claude and Gemini conversations found no advantage to appearing first, and a 2.4x advantage to being recommended rather than mentioned in passing.
94% of business buyers now use AI in their buying process, up from 89%, and 94% of buying groups rank their preferred vendors before contacting any seller. A facilities manager can form a complete view of your service model, your compliance credentials and your fit for their industry without ever speaking to you, which is why getting recommended inside AI answers and managing what AI writes about your brand should be a priority for pest control companies right now.
Ask the same question twenty times and an average of 4.1 companies appear in more than half the answers. A further 17.7 companies per question turn up once or twice and then disappear. There are 16,565 pest control firms in the United States, and the ones reliably present in an AI answer represent about 0.025% of them.
We split each engine's own repeat answers to the same question in half and compared them. ChatGPT reproduced only 33.6% of its own set of recommended companies. Google managed 44.7%. Most of what an assistant says on any single run is unstable, which is exactly why the four companies that survive the noise matter so much.
On identical questions, in the same markets, at the same time, the two engines agreed on 15.2% of the companies they named. 259 companies appeared only in ChatGPT's answers and 163 only in Google's.
ChatGPT's most-cited sources are Expertise.com, BBB and ConsumerAffairs. Google's are Google Maps and Yelp. Neither engine's top ten contains any of the other's top two.
Inside the same city, the companies AI names for commercial work overlap with the residential set by only 22%. Nothing in how these models work requires that. It happens because most companies publish one undifferentiated set of pages, so AI never learns they serve residential and commercial.
Recommendations arrive with a label attached: best overall, eco-friendly, best for termites, 24/7 availability, family-owned, best for scorpions, operating since 1929. Those labels are lifted from language that already exists in public. Without a proper AEO and AI optimisation strategy in place, it is easy to end up wrongly positioned inside AI answers, which means fewer customers coming your way.
Company-owned sites make up 38% of the most-cited domains and carry 20% of the actual citations.
Of 731 distinct domains cited across the study, 82% were cited in only one metro. Exactly one domain appeared in all ten.
A star rating appears in 31% of answers and a street address in 20%. A dollar price appears in 2%, against 111,819 monthly US searches asking what pest control costs.
In one year, pest control cost per lead from Google Ads rose 31% to $148 while organic fell 4.3% to $44. Across every industry combined, cost per lead fell 4.9% over the same period. Pest control paid search is inflating against the market.
Payback runs 4.0 months on organic against 13.6 months on Google Ads. Over 36 months at the same monthly budget, SEO and AEO pass Google Ads on cumulative profit at month 7 and finish nearly seven times ahead. Chapter 7 shows the full model and every assumption in it.
For the average pest control company, organic delivers 913 leads a year worth $119,146 in gross profit. In the same dataset, organic sessions fell 27.9% year over year while organic leads rose 7.4%, because traffic is compressing into AI answers while the intent concentrates in whatever survives. Carry that forward and three years outside the answers costs $164,941 in forgone gross profit.
For twenty years the path was stable. Somebody had a problem, typed it into Google, looked at a map with three companies on it, opened a few websites and made a call.
Most of that still happens. What changed is how much of it now finishes on Google's own page, without the customer ever visiting your website or your Google listing.
68.01% of US Google searches end without a click to any website, measured across Similarweb's US clickstream panel from January to April 2026 and published by SparkToro in June. Two years earlier the figure was 58.5%. Applied to the 472,142 monthly US searches with pest control service intent that we measured, roughly 321,000 of them finish without anyone reaching a pest control company's website.
Local searches are further along than most. Whitespark found AI Overviews on 68% of local business queries, against 39% that still show a traditional local pack. Semrush, tracking 600,000 keywords across ten industries, found AI Overviews on commercial-intent queries grew 71% in six months to April 2026.
Google's conversational version, AI Mode, passed one billion monthly users in May 2026 with queries more than doubling every quarter since launch, and its fastest-growing question shapes are "where to", "where should I" and "ideas for", which is the local recommendation query in three forms.
Getting into that answer recovers most of what the answer took. Seer Interactive analysed 5.47 million queries across 53 brands and found being cited inside the AI Overview delivers about 120% more organic clicks than being left out of it, while still delivering about 38% fewer than a results page carrying no AI Overview at all.
Forty-five percent, up from six, in twelve months. AI tools now rank third among the ways Americans find a local business, ahead of Yelp and TripAdvisor. Among 30 to 44 year olds the figure reaches 64%. A second BrightLocal survey of 1,227 consumers found 23% used AI at some point during their most recent local search, and 8% started the search inside an AI tool.
Somebody pulls back a kitchen cupboard and finds droppings. Somebody watches a roach cross the floor in front of a dinner guest. Somebody's child is bitten in the night.
What follows is a disgust reaction and a strong wish to make the problem stop today. The buyer wants a name and a number so they can stop thinking about it.
That urgency shows up directly in what they type. Across the category we found 44,467 monthly searches on "near me" terms across 123 distinct phrasings, carrying the highest average cost per click of any segment at $24.42. "Pest control near me" alone runs 16,116 a month at $31.51 a click, and "rat exterminator near me" reaches $34.58.
Put an AI answer in front of that person and the whole comparison stage collapses. They ask who to call for pest removal in Houston, read four or five names with a sentence about each, and call one.
Which of those four or five gets called is now measurable. A June 2026 study by Iannelli and Ai, joining an opt-in browsing panel to real ChatGPT, Claude and Gemini conversations, found no reliable position gradient. Appearing first carried no measurable advantage over appearing fourth. What moved behaviour was whether a company was recommended rather than mentioned in passing, worth roughly 2.4 times as much. So the target is membership of the recommended set, which according to our research in this report averages four companies per market.
One honest caveat. BrightLocal found only 18% of consumers felt confident contacting a business on an AI recommendation alone, and 88% verify it elsewhere first, usually on Google. Today the AI answer does the shortlisting and Google confirms it. Your name has to survive both steps.
A restaurant group's operations director, a warehouse facilities manager, a property management company, a food processing plant preparing for an AIB or SQF audit. Different person, different pressure, different clock.
Commercial pest control gets bought as compliance protection. The buyer is defending an audit score, a health inspection, a lease obligation or a brand. Contracts run for years and switching hurts.
That buyer does real research, and now does it with AI. Forrester's Buyers' Journey Survey found 94% of business buyers use AI in their buying process, up from 89% the year before, and 6sense arrived at the same number across around 4,000 buyers on purchases with a median value of $200,000 to $300,000. Forrester also found generative AI named as a meaningful information source by twice as many business buyers as vendor websites, product experts or salespeople.
All of it happens before anyone picks up a phone. 94% of buying groups had ranked their preferred vendors before contacting any seller. Buyers start 79% of engagements. The average buying cycle runs 10.1 months.
So a commercial prospect can form a complete view of your company, your service model, your compliance credentials and your fit for their industry without ever speaking to you. An AI model assembles that view out of whatever material it can find: your website, your service pages, your certifications, third-party listings, reviews, trade press, and anything a competitor has published about you.
When the material is thin or years out of date, the model still answers. It just answers using a directory listing from 2019 or a competitor's comparison page. Managing what AI says about your company therefore stops being optional, and we cover the mechanics of that on our AEO software page.
National brands perform best exactly where the buyer researches deeply and the sources are corporate, and worst where the buyer is panicking and the sources are Yelp, Google Maps and a local listicle.
Customer behaviour has changed. Company behaviour has barely started to.
Enterprise intent is loud while measurement remains close to non-existent, which is what a market looks like in its first eighteen months. Google in 2004 looked the same. The behaviour had changed, the tools existed, and hardly anyone had built for it.
Two pieces of research say the positions available now are worth holding.
Positions in AI answers are measurably sticky once won. A June 2026 study by Chu and Hou, running between 4,080 and 14,395 API calls per experiment across three models in two languages, found real incumbent brands achieved 100% recommendation rates when competing products carried identical specifications. Dominance only broke when a challenger demonstrated a genuine quality advantage.
The reward for moving first is large and then it vanishes. The same study measured the payoff from adopting stronger authority signals in published content. A first mover gained +0.802. Once every challenger had adopted the same approach, the individual payoff fell to +0.007. Companies that adopted nothing received zero recommendations.
Seer Interactive's study of 231,347 AI responses across seven platforms over 52 days explains the mechanism. Entities appearing frequently with consistent descriptions become stable in what models have learned, and that stability then governs what AI says about them afterwards. Brands carrying all three signal types, entity authority, third-party validation and community discussion, averaged 7.8 times more AI mentions.
We analysed 11,228 keyword terms across the category and removed everything that is not somebody looking for a pest control service. That takes out recruitment searches, DIY product searches, licensing board lookups, software searches, existing-customer logins, and the 41,824 monthly searches for video games that happen to be called Pest Control.
| Monthly US searches | Distinct terms |
|---|---|
| Service intent: 472,142 | 914 |
| Education and identification: 275,683 | 414 |
| Removed as non-service: 154,458 | 294 |
| Total corpus analysed: 902,283 | 1,622 |
Part of that education demand deserves more attention than it gets. "What does bed bugs look like" runs 135,000 searches a month on its own, and three variants of the question total 174,301. Every one of those people is minutes away from discovering they need a professional.
Pricing is the biggest question in the category and almost nobody answers it. 111,819 monthly searches across 120 phrasings, with ranking difficulty at or near zero on most of them. "Pest control quotes" runs 4,400 a month at a $39.37 cost per click, the highest-value high-volume term in the whole set.
Explicit "best of" searching on Google is tiny, at 4,097 a month. People rarely type "best pest control company in Chicago" into a search box. They do ask an assistant that exact question, which is why we tested it. Comparison demand did not disappear. It moved somewhere keyword tools cannot see.
City-modified keyword volume is badly under-reported by every commercial keyword tool. Our metro terms summed to 11,964 a month, which is 2.5% of national service demand and cannot be the real geographic share. Rather than publish figures we do not believe, we modelled metro demand as each area's share of national service demand by population and cross-checked it against the observed terms.
| Metro | Modelled monthly searches | Pest control companies |
|---|---|---|
| New York | 27,766 | 890 |
| Los Angeles | 17,732 | 634 |
| Chicago | 13,024 | 216 |
| Dallas-Fort Worth | 11,703 | 393 |
| Houston | 10,913 | 296 |
| Atlanta | 8,949 | 458 |
| Washington DC | 8,926 | 198 |
| Miami | 8,823 | 692 |
| Philadelphia | 8,738 | 252 |
| Phoenix | 7,219 | 417 |
Company counts: US Bureau of Labor Statistics QCEW, NAICS 561710, private establishments, 2024 annual average, metropolitan statistical area level. Search volumes modelled by ContentMonk from national service-intent demand. Miami is the most crowded market of the ten: 692 pest control companies share around 8,800 monthly searches, which works out at 13 searches per company per month. Chicago's 216 companies get 60 each.
Nobody publishes how many pest control questions get asked inside ChatGPT or Gemini. What can be done honestly is to apply measured consumer behaviour to demand we can count. Roughly 108,600 pest control buying decisions a month in the United States now pass through an AI answer at some point, with around 37,800 beginning there. Apply Deloitte's forecast of daily AI-in-search use rising from 29% of adults in 2026 to 40% in 2027 and the AI-involved figure reaches roughly 150,000 a month next year.
Thirty questions, ten metros, 599 answers from ChatGPT and Google, collected to 15 August 2026. Every answer names several companies, averaging 6.5 brands supported by 12.8 cited sources. Ask the same question twenty times and the names move around. "Who do I call for pest removal in Washington DC" produced 51 different companies across twenty answers. "Best commercial pest control company in Chicago" produced 16.
Counting how many companies appear in more than half of the answers gives the number that matters. Around four companies own each market. Another eighteen or so show up once or twice out of twenty, which counts as noise rather than presence.
Urgent removal questions remain the least settled of the three types, with the fewest reliable names, the longest tail of one-off mentions, and a leader holding 76% rather than 89%. Those questions are the most open to a company starting now.
Inside a single city, the companies AI names for one intent barely overlap with the companies it names for another. Commercial against best-residential averages 22%. Commercial against urgent removal averages 13%. Best-residential against urgent removal averages 50%. In four of the ten metros, the commercial and residential winner sets have no companies in common at all.
Nothing about how these models work requires that outcome. A model has no rule preventing one company from being the answer to both "who is the best commercial pest control company in Houston" and "who do I call for pest removal in Houston". Plenty of these companies genuinely do both jobs.
The split happens because of how the companies present themselves. Most pest control websites carry one general services section, one about page and a contact form. A model reading that has nothing to work with, so it assigns the company to whichever intent the third-party sources happen to describe. A firm with strong Yelp reviews gets categorised as residential. A firm with a commercial-looking website gets categorised as commercial. Neither gets both, because neither published the material that would earn both.
Which makes this the largest and cheapest opportunity in the report. A company already serving both markets is currently collecting recommendations for one of them. The fix is publishing material that makes the second capability legible. The company already does the work, so nothing about the business has to change.
| Brand | Visibility across 30 questions | Avg position |
|---|---|---|
| Orkin | 52% | #4.3 |
| Terminix | 41% | #5.0 |
| Arrow Exterminators | 15% | #4.4 |
| ABC Home & Commercial Services | 14% | #3.2 |
| Expertise.com | 10% | #3.1 |
| Western Exterminator | 9% | #2.4 |
| Evans Pest Control | 9% | #2.5 |
| American Pest | 8% | #3.0 |
| Green Pest Solutions | 8% | #2.6 |
| Native Pest Management | 8% | #2.3 |
| Insectek Pest Solutions | 8% | #3.8 |
| MMPC Pest Solutions | 8% | #2.7 |
| Sprague Pest Solutions | 7% | #2.5 |
| Urban Desert Pest Control | 7% | #2.0 |
| Rose Pest Solutions | 7% | #1.6 |
This table reflects geographic coverage more than preference. Orkin can appear in all thirty questions while a Miami operator can only ever appear in the three Miami ones, giving it a mathematical ceiling of 10%. Normalising inside the metro turns the table over. Urban Desert Pest Control sits at 7% nationally and 100% in Phoenix. HomeShield holds 100% in Los Angeles, Green Pest Solutions 100% in Philadelphia, Smithereen 100% in Chicago commercial, MMPC 95% in New York and Native Pest Management 94% in Miami. Orkin ranges between 7% and 80% depending on the city.
Twenty residential questions, twenty local or regional companies at the top. Every national-brand win in the study is a commercial account.
Phoenix shows how far a local operator can go. Across all three Phoenix questions, Orkin averages 7% visibility and Terminix 5%, while Urban Desert Pest Control holds 100% and 89%, and Insectek Pest Solutions holds 88%, 80% and 68%. Phoenix has 417 pest control companies and four of them own the answers.
Most conversations about AI visibility treat "AI" as a single destination. Our data says otherwise, and the reason is architectural. We ran the same thirty questions through both engines, five times each, and compared the companies named.
Neither engine is stable on its own. Split ChatGPT's repeat answers to the same question in half and only a third of the companies appear in both halves. This matches published work: a May 2026 study measuring same-prompt reruns found recommendation-set similarity of 0.50 to 0.61, falling to 0.288 when the question was reworded cosmetically. Any single conversation with an assistant is a sample, not a verdict.
Cross-engine agreement runs at roughly half the internal baseline. Across the whole study, 259 companies appeared only in ChatGPT's answers, 163 only in Google's, and 93 in both. Published cross-industry work by BrightEdge puts brand overlap between engines in the 36 to 55% range, so local recommendations appear to diverge more than the blended average across industries. Treat the direction as solid and the exact figure as specific to this category.
Google grounds in its own search index. Google's developer documentation describes AI Overviews and AI Mode as retrieval-augmented generation relying on its core Search ranking systems to retrieve pages from the Search index. On top of that it layers the Knowledge Graph, Google Maps and Business Profile data. Google's guidance names Business Profile explicitly as a way to be visible in AI responses. Google also runs query fan-out, issuing multiple related searches across subtopics concurrently.
ChatGPT does not own an index. OpenAI's help documentation, current to August 2026, states that ChatGPT search sometimes partners with other search providers, and names Bing and Shopify. For local specifically, its documented partners are OpenTable, Resy and Yelp. Eligibility works differently too: appearing in ChatGPT search depends on OAI-SearchBot, a separate crawler from GPTBot, which handles model training only. Blocking one has no effect on the other, and this is the single most commonly confused fact in the field.
What this means in practice. Winning ChatGPT in this category means appearing on a list of roughly eight sites. Winning Google means Google Business Profile, Maps and Yelp first, then a much wider spread. The ChatGPT list is short, cheap and fast to work through.
Each engine reproduces only a third to a half of its own answers between runs, the two engines agree with each other on 15.2% of the companies they name, and they read almost completely different source lists to get there. So a single check tells you almost nothing.
ContentMonk tracks your prompts across ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews, records every brand named and every source cited, shows you your visibility and your competitors' side by side, and flags the moment you lose a position. It is the same system that produced the data in this report.
AI reads sources and summarises them. We recorded all 2,254 cited URLs across the 599 answers.
Company websites are well represented among the domains AI trusts, and the second and third most-cited sources in the entire category are terminix.com and orkin.com. They carry a fifth of the citation volume. The other seventy percent of what AI reads about your market sits on somebody else's website. This is the mechanism behind the ceiling described in Chapter 7: own content and listings take a company to roughly 15 to 20% AI visibility quickly, and getting past that requires the third-party work.
Across the thirty questions, 731 distinct domains were cited. 598 of them, 82%, were cited in only one metro. Exactly one domain, Expertise.com, was cited in all ten. The complete list of domains cited in six or more metros runs to seven entries: Expertise.com, 2niceguys.com, BBB, Angi, Forbes, USA Today and Facebook. National coverage reaches seven or eight metros at best. The sources that actually decide the answer in your city are local, and they are different in every city.
| Channel | Cost per lead 2024 | Cost per lead 2025 |
|---|---|---|
| Organic search | $46 | $44 (−4.3%) |
| Local Services Ads | $86 | $96 (+11.6%) |
| Blended paid | $95 | $111 (+16.8%) |
| Google Ads | $113 | $148 (+31.0%) |
Source: Coalmarch (WorkWave) 2026 Pest and Lawn Marketing Benchmark Report, $11M of tracked marketing spend across companies from $500K to $20M in revenue. Across every industry combined, cost per lead fell 4.9% over the same period.
| Channel | Cost per customer | Payback |
|---|---|---|
| Organic and AI search | $98 | 4.0 months |
| Local Services Ads | $219 | 9.0 months |
| Blended paid | $247 | 10.2 months |
| Google Ads | $329 | 13.6 months |
| Door-to-door | $518 | 21.4 months |
| Lead aggregators | $665 | 27.5 months |
The model uses an annual contract value of $500, taken from Angi's cost guide built on more than 10,000 customer surveys. Gross margin of 58% and marketing spend at 6.6% of revenue both come from the NPMA and PCO Bookkeepers 2025 Cost Study of 246 firms across 47 states. Average tenure of five years sits at the conservative end of the published range. Lead-to-sale of 45% comes from Invoca's 2026 analysis of 70 million calls. Together those produce $290 of gross profit per customer per year and $1,450 of lifetime gross profit.
Angi's own Q2 2026 earnings call states that contractors now win roughly one lead in six. At $50 a shared lead, one win in six and a 45% close, a customer costs about $665, close to seven times what organic costs.
Traditional SEO in a competitive industry takes quarters to show up. Two things make this category behave differently. Ranking difficulty here is close to zero on the terms that matter, so pages built properly against those terms rank in weeks. And AEO delivers results faster still, because AI reads live: AI Overviews and AI Mode retrieve current pages at the moment of the question, so correcting a Google Business Profile, completing review platform listings and publishing the pages AI needs changes what the model reads on its next pass.
The 15 to 20% figure is a real ceiling. Chapter 5 explains why: company-owned sites carry only 20% of citation volume, so own content alone runs out of room.
Running $5,000 a month through each channel, SEO and AEO pass Google Ads on cumulative profit at month 7, pass Local Services Ads at month 12, and reach cumulative breakeven at month 15 while both paid channels are still underwater. At month 36 the three sit at $449,725, $188,005 and $64,688 respectively. From there the gap widens every month, because organic output keeps compounding while paid output stays flat for as long as you keep paying. You can see how we price the work on our pricing page.
Google began migrating Local Services Ads into Google Ads as Performance Max pay-per-lead campaigns in August 2026, starting with US home services including pest control. Manual cost-per-lead bidding is being phased out in favour of an automated blended target. Google's migration documentation says nothing about whether the lead credit and dispute process survives.
For the average pest control company in the Coalmarch benchmark, organic delivers 913 leads a year, worth $119,146 in gross profit. In the same dataset, organic sessions fell 27.9% year over year while organic leads rose 7.4%. Traffic is compressing into AI answers while intent concentrates in whatever survives. Companies inside the answers held their leads. Carry that forward and three years outside them costs $164,941 in forgone gross profit.
The full version of this framework, with worked examples for pest control specifically, lives on our SEO and AEO for pest control companies page.
Write down what somebody says to ChatGPT or Gemini rather than what they type into Google.
| What they type into Google | What they ask an assistant |
|---|---|
| pest control houston | Who's the best pest control company in Houston? |
| commercial pest control near me | I run three restaurants in Dallas, who should handle pest control? |
| bed bug exterminator cost | How much should I expect to pay to get rid of bed bugs? |
| termite inspection near me | Do I need a termite inspection before I sell my house? |
| exterminator nyc | I've got mice in a Brooklyn apartment, who do I call? |
Work through every service you offer, every pest you treat, every property type you serve and every town you cover, and write the question form of each. Do residential, commercial and urgent separately, because Chapter 3 showed they are currently being won by different companies inside the same city. Ask each question several times in each engine, because Chapter 4 showed the engines reproduce only a third to a half of their own answers between runs.
Our SEO software and AEO software handle both halves of this, tracking rankings and AI answers against the same question set.
Most of these are bottom-of-funnel commercial pages rather than blog posts, and we have written up how to build them separately. If writing them is the bottleneck, our content writing software produces them from your own knowledge base.
Own content and listings carry a company to roughly 15 to 20% AI visibility and then stall, because company-owned sites hold only 20% of citation volume. Chapter 4 showed the two engines read different lists, so this splits into two jobs.
For Google, start with what you own. This part delivers results within weeks. Google Business Profile is the largest single citation source in this study and the only asset Google's own documentation names as a way to appear in AI responses, so complete every field, every service, every service area and every attribute, and keep hours accurate. Then Yelp checked on mobile, which gets cited more than twice as often as desktop, plus ConsumerAffairs, Thumbtack and Angi profiles. Keep your name, address and phone number identical everywhere, because Chapter 6 showed AI reads them out loud.
For ChatGPT, the list is short enough to finish in a month. Expertise.com and the BBB are its two most-cited sources, neither of which appears anywhere in Google's top ten. Then ConsumerAffairs and Birdeye, plus the independent listicles ranking for "best pest control in {city}". Make sure OAI-SearchBot is not blocked in your robots file: it is a separate crawler from GPTBot, and blocking the wrong one removes you from ChatGPT search while leaving training access open.
Then earn the rest, for both. Local magazine and newspaper "best of" awards, where Philadelphia Magazine's Best of Philly exterminator award is cited in 4% of Philadelphia answers and nearly every metro has an equivalent. NPMA membership and QualityPro accreditation, held by fewer than 3% of US pest control companies, which makes it a genuine scarcity signal and a verifiable one. Trade press including PCT Magazine, Pest Management Professional and the PCT Top 100 if you qualify. And your own data published annually: the national brands publish yearly city rankings built from their own service data, which get syndicated across national and local news and then cited back to them, and a regional operator can do the same thing for one metro at a fraction of the cost.
Internal linking between these pages matters more than most people expect, and our free internal linking tool will map yours.
When a page slips, improving it works better than replacing it. One thing to plan around: Seer Interactive found one in five factually correct AI responses still used outdated language about a brand three weeks after the facts changed. Corrections take a few weeks to propagate.
You have the picture now. Four companies own the answers in your market, ChatGPT and Google pick different ones, and the companies holding those positions got there by publishing material their competitors did not bother to publish.
The fastest way to find out where you stand is to have somebody run your market properly. Not one question asked once, but the full set, several times each, across both engines, the way this report was built.
ContentMonk tracks your prompts across ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overviews, records every brand named and every source cited, shows your visibility against your competitors, and flags the moment you lose a position. It then turns the gaps into briefs and articles and publishes them to your site.
If you would rather hand the whole programme over, our agency team runs it end to end for pest control companies and other local service businesses.
Start a Free TrialSee the AgencyAEO stands for answer engine optimisation, the work of getting your company named and described accurately when someone asks an AI assistant for a pest control recommendation. It builds on the same foundations as SEO and adds third-party sources and structured content that models can extract.
Faster than traditional SEO in most industries, because ranking difficulty across this category's money terms sits close to zero and because AI reads current pages rather than waiting for rankings to mature. Profile and listing corrections show results within thirty days. Companies doing the work properly reach 15 to 20% AI visibility within two to three months. Passing that level takes third-party citations and generally runs three to nine months.
Largely yes. In this study the two engines agreed on 15.2% of the companies they recommended, because they retrieve from different sources. Google grounds in its own search index plus Maps and Business Profile. ChatGPT relies on third-party search providers and a short list of directories and review platforms. Most of the underlying work overlaps, and the listing priorities are different.
Residential AI answers are built mostly from Google Maps, review platforms and local listicles, where a well-reviewed local operator with a strong profile competes on equal terms. National brands perform much better on commercial questions, which draw more on company websites and credentials. In our study, national brands topped zero of twenty residential questions and five of ten commercial ones.
Because nothing on your site tells it otherwise. Inside the same city, the companies AI names for commercial work overlap with the residential set by only 22%, and in four of our ten metros the overlap was zero. Publishing a genuine section for the capability you are missing usually fixes it, and it is one of the fastest wins available.
Ask the questions your customers would ask, in each engine, several times, and record which companies get named and which sources get cited. Asking once is not enough, since each engine reproduces only a third to a half of its own answers between runs. Our free AI visibility audit does it for you.
Substantially. Review platforms are among the most cited sources in this study, with Yelp mobile at 21% and ConsumerAffairs at 24%, and a star rating appears in 31% of answers. BrightLocal found 92% of consumers prioritise star rating and 47% will not use a business with fewer than 20 reviews.
Yes. Most of step 4 is profile and listing work any organised person can handle, and steps 1 and 3 are within reach of anyone who writes clearly about their own business. The hard part manually is tracking dozens of questions across several engines every week, several times each, and knowing which change to make first.
What we tested. Thirty questions across ten US metropolitan areas: New York, Los Angeles, Chicago, Dallas-Fort Worth, Houston, Washington DC, Miami, Philadelphia, Atlanta and Phoenix. Three question types per metro, covering best commercial pest control company, best pest control company, and who to call for pest removal.
What we collected. 599 separate AI answers, roughly twenty per question, split evenly between ChatGPT and Google. 647 distinct brands recorded. 2,254 cited URLs recorded. Data current to 15 August 2026.
Which engines. ChatGPT and Google. We are stating this as a limitation rather than burying it. Perplexity, Gemini, Claude and Copilot join in Q4 2026.
How visibility is calculated. The share of answers to a given question in which a brand is named. A brand at 85% was named in seventeen of twenty answers. Average position is the mean rank of the brand within the list of companies named in each answer.
How engine agreement is calculated. For within-engine stability, each engine's repeat answers to a question were split into two halves and the sets of companies named in each half compared. For cross-engine agreement, all of one engine's answers to a question were compared against all of the other's. Both are reported as the share of the combined set appearing in both.
Search demand. ContentMonk keyword data, US, August 2026, covering 11,228 terms reduced to 1,622 with meaningful volume. Metro-level demand is modelled from national service-intent volume by population share and labelled as a model throughout.
Company counts. US Bureau of Labor Statistics Quarterly Census of Employment and Wages, NAICS 561710 Exterminating and Pest Control Services, private establishments, 2024 annual average, at metropolitan statistical area level, with a consistent geographic definition across all ten metros. These counts exclude non-employer sole proprietors, so the true number of competing operators runs higher.
Third-party research is cited inline throughout with its publisher, date and sample size where disclosed. All AI visibility and citation data is ContentMonk's own, collected August 2026. Companies named in this report have no affiliation with ContentMonk and are not customers.
We will run your market across ChatGPT and Google, show you every question where a competitor is named instead of you, tell you which sources decided it, and give you a plan with a timeline for the results.