ChatGPT Ads vs. Google Ads for HVAC: Different Intent, Different Job

The wrong question is whether ChatGPT Ads will replace Google Ads.

They will not—certainly not today.

The useful question is whether ChatGPT can reach valuable homeowner decisions that do not look exactly like a conventional search query.

For HVAC, the answer is yes. Whether those moments produce customers at an acceptable cost is what the test has to determine.

Bottom line

Google is still the mature demand-capture machine. ChatGPT is a newer conversational decision surface. HVAC companies should not move proven Google budget blindly. They should test ChatGPT incrementally, with different campaign structure, different creative, and booked-job measurement.

Someone types:

furnace repair Aurora CO

or:

AC replacement near me

Google uses keywords, match types, bids, ad quality, landing-page experience, and the context of the search to determine which ads are eligible and where they appear.

Google’s own documentation describes keywords as the words or phrases advertisers use to connect ads with customer searches. Exact, phrase, and broad match determine how closely a query can relate to a keyword. Google’s keyword-matching guide is explicit about this structure.

That system is powerful because the customer has already translated the problem into a service.

They know enough to search for an HVAC company.

ChatGPT can begin before the service is named

Now consider this conversation:

“My furnace is 18 years old. We repaired it twice last winter, and it stopped again. Is another repair reasonable, or should we replace it?”

The customer has not necessarily decided what to buy.

They are still working through:

  • equipment age
  • repair history
  • replacement timing
  • cost
  • efficiency
  • next steps

That is the difference.

OpenAI’s ad system considers conversational context and intent, along with the ad, landing page, and advertiser-supplied context hints. Those hints are not exact-match keywords and do not guarantee placement beside a particular prompt. OpenAI’s basics guide says so directly.

Google captures a search.

ChatGPT may be present while the customer is still forming one.

The same homeowner can use both

The channels are not mutually exclusive.

A realistic journey could look like this:

  1. Homeowner asks ChatGPT why the furnace keeps failing.
  2. ChatGPT explains repair-versus-replacement considerations.
  3. The homeowner sees a relevant sponsored HVAC placement.
  4. The homeowner visits the company.
  5. Later, they search the company on Google.
  6. They read reviews.
  7. They call or submit an estimate request.

That means last-click reporting can understate one channel and over-credit another.

It also means the correct strategy is not “Google or ChatGPT.”

It is understanding the role each channel plays.

Where Google is likely stronger

Google is extraordinarily good at explicit, bottom-funnel intent.

Examples:

  • emergency AC repair near me
  • furnace repair open now
  • boiler company Wellesley
  • HVAC financing Denver
  • heat pump installer Boston

The searcher has named the service and often wants action.

For urgent, high-volume categories with established search demand, Google remains the benchmark.

Where ChatGPT may be unusually useful

ChatGPT becomes more interesting when the decision requires explanation.

Examples:

  • Should I repair or replace a 16-year-old AC?
  • Is a heat pump right for my house?
  • Why does my furnace keep short cycling?
  • What should I ask an HVAC company before replacing a system?
  • Is a variable-speed system worth the extra cost?
  • How do I compare two HVAC estimates?

Those are not necessarily top-of-funnel questions.

Some are highly commercial. The customer simply expresses the intent through a problem rather than a keyword.

The creative has to behave differently

A search ad can be terse because the keyword does much of the work.

The customer searched “furnace replacement.” The ad can say “Furnace Replacement—Free Estimate.”

ChatGPT creative has to feel useful in the context of a conversation.

OpenAI recommends clear, specific, benefit-focused copy and says advertisers should build multiple distinct variations rather than repeat one generic message. Read the current creative guidance.

For an aging-furnace context, a better ad might be:

Repair or replace your furnace? Get an estimate from a licensed local HVAC company that can inspect the system and walk you through both options.

That continues the customer’s thought process.

It does not shout over it.

Early advertisers are seeing mixed results

The platform is too new for internet anecdotes to be treated as benchmarks, but they are useful for understanding the range of outcomes.

One early B2B advertiser on Reddit reported lower CPCs than Google but a longer conversion window. The same commenter said generic copy was ignored and that conversational use cases performed better than bottom-funnel keyword mimicry. Read the discussion.

A different advertiser in r/PPC reported the opposite:

“CPC was about 2.5x to Google with same products… I got no conversions out of it.”

Another commenter said they spent roughly $2,000 with no response. Read the thread.

These reports are unverified and come from different categories, geographies, setups, and levels of execution.

The only honest conclusion is that the early market is uneven.

That is normal.

How we would test ChatGPT without weakening Google

Do not pull a large amount of money out of a proven Google campaign on day one.

Create an incremental test.

For an HVAC company, we would generally begin with:

  • one profitable service line
  • one defined service area
  • one dedicated landing page
  • several distinct ads
  • conversion tracking before launch
  • a clear maximum acceptable acquisition cost

Then compare the channels on business outcomes:

MetricGoogle AdsChatGPT Ads
Spend
Qualified homeowner inquiries
Booked appointments
Completed estimates
Sold jobs
Revenue
All-in cost per sold job

CPC belongs in the report.

It should not be the conclusion.

What would make ChatGPT worth continuing?

A pilot does not need to beat Google immediately to deserve another month.

It may justify continued investment if it shows:

  • legitimate local delivery
  • relevant homeowner inquiries
  • job types the company wants
  • acceptable cost per qualified lead
  • a path to sold work
  • incremental demand rather than obvious cannibalization

But novelty is not enough.

If clicks are expensive, inquiries are poor, and no jobs are appearing, stop or change the test.

The goal is not to be early at any cost.

The goal is to get early access to a new source of profitable customers.

Sources

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