Get placed in the pages buyers read, and earn referral traffic from the click that follows.
The comparison and roundup pages buyers open at decision time are the same pages AI engines cite. Getspotted scans 6 sources to find them for your keyword, hands you the editor's contact, and lets you place inside, so one placement sits where a budget-holding buyer is already comparing options.
Your buyers are comparing you on pages you have no presence in
When a buyer asks ChatGPT or Google what the best project management tool is, they land on comparison and roundup pages with a shortlist already forming. If your brand is not on that page, you are not in the comparison. The decision happens in a document you never touch, and you only find out when the deal goes to a competitor who was named there.
Place where buying intent already lives, by keyword
Comparison and roundup pages get read by people who already have a shortlist and a budget. You scan the exact phrase your buyers type at decision time, and place inside the pages that surface for it, so the keyword is your targeting and the cited page is your inventory. No guessing which pages matter.
Getspotted scans the exact decision-stage keyword and returns the comparison pages cited for it, not the top-of-funnel blog posts that bring browsers.
Reach the AI answer and the human reader from one page
When ChatGPT, Perplexity or Google AI Overview answers what the best tool is, it cites pages. Those same pages get read directly by buyers. One placement inside a cited page sits in front of both: the model that recommends you and the person reading the page it quoted.
The same page surfaces in the AI answer and gets organic reads from buyers, which is why a single placement reaches both readers at once instead of one channel at a time.
Be seen by someone already comparing you, not a cold audience
A mention inside best CRM for startups is read by someone actively comparing CRMs right now. The intent is on the page before they ever see your name, so the reader is mid-comparison by definition. That is a fundamentally different reader than an impression served to someone who never asked.
The page targets a decision-stage keyword, so by definition the person reading it is mid-purchase, which is what makes the context warm rather than the placement itself.
Keep being read for the placement's full duration
A placement inside a comparison page keeps being read, and keeps being cited, for as long as it runs. The research and outreach are front-loaded once. The exposure is not. One round of work keeps sitting in the page instead of a campaign you rebuild every month.
Placements are negotiated for a chosen duration, so one round of outreach keeps working across that window, and you choose the page, the position in it, and how long it stays.
Other tools track rankings.
We find the sources AI trusts.
Find the page, place inside, prove the citation
Find
Enter the keyword your buyers type at decision time. Getspotted fires 30 parallel queries across 6 sources and returns the comparison pages cited by AI and Google, flagging the Hot Spots cited across multiple engines.
1 scan = 10 creditsAct
Open any cited page and get the editor's name, email and LinkedIn. Negotiate a paid placement, a brand mention or a link, at a chosen position and duration. You run the outreach, we hand you the contact.
1 contact = 2 creditsProve
Re-scan the same keyword after the placement goes live. The page now cites you. You moved from unmentioned to cited in the exact source feeding both the AI answer and the buyer shortlist.
Re-scan shows before vs afterFrom unmentioned to cited, in the source that feeds the answer
Before: scan the keyword and your brand is not in the cited comparison page. After the placement: re-scan the same keyword and you appear in it. The re-scan proves the placement landed in the exact page AI and buyers read. It does not isolate causes or invent a conversion number, it shows you went from unmentioned to cited.
You can't see AI traffic in GA4, so we don't make you guess
AI-referred clicks are genuinely hard to attribute. Referrer headers often drop, so a click from a ChatGPT or Perplexity answer can land in GA4 with no source. We will not sell you a tag that pretends to fix that. Instead we re-scan the page after your placement and show you moved from unmentioned to cited in the exact source feeding both the AI answer and the buyer shortlist. The placement inside a cited page is what we prove. Referral traffic is the reasonable consequence of sitting in a page buyers actively read, not a number we will fabricate for you.
Simple, credit-based pricing.
Pick a plan, get credits, scan at your pace. Cached results always free.
Free
For hobbyists and testing.
Typical monthly usage
Or up to
1 scan = 10 cr · 1 contact = 2 cr
- 12 credits / month
- All 6 sources (SERP + 5 LLMs)
- Hot Spots detection
- Frequency scoring
Starter
For solo creators and indie hackers.
Typical monthly usage
Or up to
1 scan = 10 cr · 1 contact = 2 cr
- 150 credits / month
- All 6 sources (SERP + 5 LLMs)
- Contact enrichment
- Hot Spots detection
- Frequency scoring
- CSV export
- $0.15 per extra credit
Pro
For growth teams and agencies.
Typical monthly usage
Or up to
1 scan = 10 cr · 1 contact = 2 cr
- 500 credits / month
- All 6 sources (SERP + 5 LLMs)
- Contact enrichment
- Hot Spots detection
- Frequency scoring
- CSV export
- Bulk research (up to 100 prompts)
- Priority support
- $0.11 per extra credit
Enterprise
For large organizations.
- Custom volume
- All 6 sources (SERP + 5 LLMs)
- Everything in Pro
- Dedicated account manager
- Custom integrations
- SLA guarantee
- Volume pricing
Prices in USD. All plans include free cached results.
1 scan = 10 credits · 1 contact = 2 credits · Free plan = 12 credits/mo
How is this different from buying ads for the same keywords?
An ad is a paid impression served to an audience that may or may not be in-market, and it disappears the second you stop paying. A placement here is a mention inside a comparison page that buyers and AI engines already read for that keyword, so the reader is mid-comparison and the placement keeps sitting in the page for the duration you negotiated. You target by the intent already on the page, not by a rented audience.
Why comparison pages specifically, and not just any backlink?
Comparison and roundup pages like best project management tool are read by people mid-purchase, and they are exactly the pages AI engines cite when a buyer asks what to choose. A mention there reaches decision-stage intent twice: once through the human reader, once through the AI answer that quotes the page. A generic backlink rarely sits where the buyer is actually comparing.
Can I reach buyers through pages that don't rank on Google?
Yes, and that is often the best lead economics. AI engines and Google rank pages differently, so we regularly see pages buried at Google position 21 and beyond get cited by ChatGPT or Perplexity, while a Google number one never appears in a single AI answer. Those low-competition pages are cheaper to get placed in and still feed the buyer's decision. We scan 6 sources instead of reading off Google rank precisely to surface them.
Is a paid placement in a comparison page allowed, or will Google penalize it?
It is an editorial placement negotiated with the page's editor, a brand mention or a link, the same model as digital PR and earned link building. It sits in a real comparison page that humans and AI both read, in context, not in a link network. You decide the page, the position and the duration.
Will one placement keep sending traffic, or do I pay every month?
A placement runs for the duration you negotiate, and it keeps being read and cited the whole time. The research and outreach are front-loaded once, the exposure is not. That is the difference from an ad you refresh every month: one round of work keeps sitting in the page buyers open to choose.
Find the pages your buyers already read, then get placed inside them
Scan one decision-stage keyword and see the comparison pages AI and Google cite for it, the ones your buyers open to choose. Get the editor's contact, place inside, and re-scan to prove you went from unmentioned to cited.
Scan a keyword freeSee pricing