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Atlas Browser: The Fastest Way for Dealers to Study Their Competition
I asked Atlas to audit a dealership’s entire inventory — and what it came back with shocked me.
Bryan Pascual
November 02, 2025
What we tested (and why it works)
I opened a dealer’s inventory page and asked Atlas to:
count vehicles by body style
calculate average prices by body style and overall
check for dealer fees
Atlas delivered a clean summary in about five minutes. That’s repeatable, and it saves managers and salespeople from spreadsheet headaches.
Important caveats before you try this
Filter big sites. On Carvana, CarGurus, and other massive catalogs, apply filters (zip, radius, make, body style, price) so Atlas is only parsing a manageable result set. Otherwise results can be slow or inconsistent.
Complicated pages can trip Atlas. Aggressive pop-ups, infinite scroll, or redirect gates may block extraction. Close pop-ups, click “show all,” or use the site’s filters to stabilize the page before you ask.
macOS only right now. Atlas is currently available on macOS; Windows and mobile are planned but not out yet.
Agent Mode requires a paid plan. Agent Mode is in preview for Plus, Pro, and Business accounts; you don’t need it for the basic workflow below, but it helps with repetitive steps.
Security tip: Keep Agent Mode to public pages only and require confirmations. AI browsers can be vulnerable to prompt-injection and spoofed overlays; avoid using Agent Mode on any logged-in DMS/CRM pages.
How I scraped data only with Atlas
I opened a competitor’s inventory page and gave Atlas one simple command:
“There are 110 vehicles on this website.
Break down how many SUVs, trucks, sedans, and coupes they have,
the average price of each,
the overall average price,
and check if they charge dealer fees.”
Atlas scanned the page and processed everything in under 5 minutes.
No spreadsheet.
No scraping tools.
Just… done.
📊 What Atlas Delivered
Here’s the summary it returned:
40 SUVs — ~$17K avg price
34 Sedans — ~$16.8K avg price
24 Trucks — ~$24.4K avg price
4 Coupes — ~$17.5K avg price
Overall average price: ~$18,654 across the lot
Dealer fees: None visible
It literally:
✅ Counted units
✅ Estimated averages by body type
✅ Identified pricing strategy
✅ Flagged (or didn’t flag) dealer fees
This is market intelligence automated.
Step-by-step: 5-minute competitor scan (no Agent Mode needed)
Goal: get a quick summary from a single dealer’s inventory page.
Open the inventory page you want to analyze in Atlas.
Apply filters to narrow the page to something sensible if the site is huge:
radius, body style, price band, make, mileage
Open the ChatGPT sidebar in Atlas.
Paste this prompt (edit as needed):
There are [approx. count] vehicles on this inventory page.
Create a summary with:
- count of SUVs, trucks/pickups, sedans, and coupes
- average price for each body style
- overall average price
- note if any dealer fees are disclosed on-page (doc fee, prep fee, e-filing, etc.)
Return a short table plus a 2-sentence summary.
Review the output. If results look off, refine the page:
close pop-ups
click “view all”
reduce the number of items shown
re-run the prompt
Copy the table into your notes or a spreadsheet.
Pro move: If the page uses infinite scroll, scroll to load a chunk at a time, then ask Atlas to analyze “what is currently loaded on the page.”
Optional: speed it up with Agent Mode (paid tiers only)
If you have Plus/Pro/Business and want Atlas to click filters or paginate for you, enable Agent Mode, then instruct:
“On this page, filter to [radius/make/body], scroll to load all results, then extract the counts and averages by body style plus any fee disclosures. Confirm each step.”
Approve each step as Atlas works. Keep this to public pages.
Use-case ideas dealers can do today
1) Month-to-month competitor tracker
Make a simple Google Sheet with columns: Date • Dealer • SUVs count • SUVs avg price • Trucks count • Trucks avg price • Sedans count • Sedans avg price • Coupes count • Coupes avg price • Overall avg • Fees noted.
Run the Atlas prompt on the 1st of each month for your top 5 competitors.
You’ll spot price moves, mix changes, and fee policy shifts at a glance.
Pro move: In the Atlas browser ask it to analyze trends and give you a brief summary if you are using a cloud based spreadsheet like Google Sheets.
Bottom line
Atlas turns a messy inventory page into usable market intel in minutes — if you filter big sites and stabilize the page first. Start with the sidebar-only workflow; add Agent Mode later if you’re on a paid plan and want help clicking through public pages.
Have you tried Atlas on your market yet? If you run this on two competitors and send me your tables, I may feature your findings next issue — anonymized if you want.
– Bryan
Want more?
Here’s a full list of 50 proven chatGPT prompts that dealers and salespeople can use daily.