Guide · Updated August 2026

Buyer Intent Keywordsthe phrases that signal someone's ready to buy

Buying intent comes in a surprisingly small number of sentence shapes, and people type them in public before they type anybody's brand name. This is the swipe file: five families of phrases, what each signals, how they get reworded per platform, and which of them will lie to you.

Updated 18 min readBy the ParseStream team
Five families of buyer intent phrases under the heading “BUYER INTENT LANGUAGE”, sorted by how close the writer is to buying. Four rows descend as a ladder, each narrower than the one above so the right edge steps inward beside an arrow marked “INTENT RISES”: “Problem-aware”, holding “doing this by hand”, “is there a way to” and “sick of copying”, tagged pain point; “Solution-seeking”, holding “any tool for”, “recommend a tool for” and “what do you use for”, tagged buy intent in violet; “Evaluation”, holding “is [X] worth it”, “[A] vs [B]” and “alternative to [X]”, tagged product question in violet; and “Switching”, holding “moving away from [X]”, “canceling our” and “not renewing”, tagged competitor complaint. Below a hairline, set apart and greyed out, a fifth full-width row reads “Post-purchase” with “finally switched to”, “we ended up going with” and “six months in with”, tagged testimonial and captioned “watch, don't pitch”. A raised violet strip along the bottom reads “Leads view — approved mentions, tagged whenever your AI Filter runs”, beside pills for the only two tags it collects: product question and buy intent.
The short answer

What are buyer intent keywords?

Buyer intent keywords are the recurring phrases people use in public when they are close to a purchase decision — “any tool for”, “recommend a tool for”, “how do you handle”, “is it worth it”, “X vs Y”, “alternative to X”, “moving away from”, “canceling our”. They carry intent independently of your brand: the person writing one usually does not know your product exists, and is asking strangers to make the shortlist for them.

They sort into five families by how close the writer is to buying: problem-aware complaint, solution-seeking, evaluation, switching, and post-purchase. Track two or three phrases from the families that match where your buyers are, use exact-phrase matching on anything built from small words, and rewrite each phrase per platform — the sentence that works on Reddit is not the one that works on LinkedIn.

83%

of B2B decision-makers complete their research via peer communities and self-directed search before ever engaging a sales team.

Source: SurveyMonkey with Reddit
2 in 3

buyers now prefer engaging with vendor salespeople only in the later stages of their buying journey, up 17 percentage points in a year.

Source: G2 (2025 Buyer Behavior Report)
73%

of decision-makers name peer insights their most trusted source, ahead of vendor websites (55%), search engines (54%) and review sites (46%).

Source: SurveyMonkey with Reddit
01

Why do a handful of phrases carry so much intent?

Because buying is the same sequence of conversations every time, and people narrate it in public in the same words. Somebody complains about the manual process, asks what others use, asks whether the two options on their shortlist are worth the money, then announces they are leaving the thing they had. Four moments, four recognisable sentence shapes, none of which requires the writer to have heard of you.

That is what separates an intent phrase from every other kind of keyword. A brand keyword catches people who already found you; an intent phrase catches the decision itself, while the shortlist is still being written by strangers in a comment thread.

The decision happens before anyone talks to you

SurveyMonkey's study with Reddit, among 1,202 US business decision-makers, found 83% complete their research via peer communities and self-directed search before ever engaging with a sales team. G2's 2025 Buyer Behavior Report, surveying 1,169 B2B decision-makers, puts the same shift in terms of sequence: nearly two out of three buyers now prefer engaging with vendor salespeople only in the later stages of their buying journey, up 17 percentage points in a year.

So the interesting part of the funnel has moved somewhere you cannot see unless you watch the language — and the researcher is not asking a vendor. 73% of those decision-makers trust peer insights above vendor websites, search engines and review sites. Each phrase is an invitation to a peer conversation, which is why answering one badly is so conspicuous.

This is the deep cut of the keyword-list guide, not a repeat

A complete monitoring list has five kinds of entry — problem phrases, ask-phrases, competitor names, category terms, and your brand with its misspellings. Our guide to social listening keywords covers that, plus scoping and list size; start there if you have not built one. This page takes the two of those five that carry buying intent and opens them up: sorted by funnel stage rather than by kind, with the phrases written out, the per-platform rewrites, and the false positives each family generates. The other direction — the sentences people write before they believe a product exists, like “is there a tool that” or “am I the only one who” — is research rather than pipeline, and our guide to finding pain points on Reddit takes those.

02

The five families of buyer intent language

Copy what applies, replace the bracketed parts with your own category and competitor names, delete the rest. These are starting points, not a ranked list — nobody has measured which phrase converts best in your category, and the only ranking worth having is the one a week of your own mentions produces. The families run in order of how close the writer is to a decision, which is also roughly the order in which volume falls and urgency rises.

What each family is telling you, and the intent tag ParseStream gives it when an AI Filter or Lead Detection is running.
FamilyWhat it signalsIntent tagWindow
Problem-awareA job done by hand, described by someone who does not know the category exists.Pain pointDays
Solution-seekingAn explicit request for a shortlist, addressed to peers rather than vendors.Buy intentHours
EvaluationA named shortlist and one question standing in front of a purchase.Product question, sometimes buy intentSame day
SwitchingAn active budget leaving a competitor, replacement not yet chosen.Competitor complaintSame day
Post-purchaseThe vocabulary your market really uses, plus public praise and regret.TestimonialNo deadline
What each family is telling you, and the intent tag ParseStream gives it when an AI Filter or Lead Detection is running. The Leads view is a fixed qualification: approved mentions tagged buy intent or product question. Solution-seeking and evaluation phrases land there automatically; pain-point, competitor-complaint and testimonial mentions do not, and are reached with the intent filter instead.

1. Problem-aware: complaining, with no vocabulary yet

The person has the problem and does not know your category has a name, so the only thing to watch for is their description of the work itself. Longest window, lowest urgency, least contested — every competitor you have is watching for their own name instead. What works here is not a recommendation but a description of how other people solve the same thing.

  • “doing this by hand” · “still doing this manually” · “doing it manually every week”
  • “is there a way to” · “there has to be a better way”
  • “sick of copying” · “copy and paste into a spreadsheet” · “our spreadsheet for [job]”
  • “wasting hours on” · “takes me all morning to” · “whose whole job is [job]”
  • Write these in your customers' words. If the phrase appears on your homepage, it is the wrong phrase.

2. Solution-seeking: asking strangers to build the shortlist

The highest-converting family and the shortest window. Somebody has decided software exists for this and is asking peers which one, so the thread has a deadline: the answers that arrive before it settles are the ones that get read, and the ones the next person with the same question finds later.

  • “any tool for” · “looking for something that”
  • “recommend a tool for” · “recommendations for” · “any recommendations” · “suggestions for a”
  • “what do you use for” · “what are people using for” · “what's everyone using” · “how are you tracking”
  • “best [category] for [buyer type]” — high volume, and the noisiest entry here. Scope it.

3. Evaluation: the shortlist already exists

Two or three named options and one question standing in front of a purchase. These convert fastest of anything here and punish a wrong answer hardest, because everyone in the thread knows the products well enough to check you. The etiquette is fixed: answer what was asked, name the case where the other option wins, and disclose that you build one of them.

  • “is [product] worth it” · “worth the money” · “worth paying for” · “is [product] any good”
  • “[product A] vs [product B]” · “[product] or [product]” · “anyone compared”
  • “alternative to [product]” · “alternatives to [product]” · “something like [product] but”
  • “anyone actually using [product]” · “does [product] do [job]” · “can [product] handle”
  • “thinking about buying” · “about to sign up for” · “on the fence about”

4. Switching: the budget already exists

Somebody is leaving a product in your category. The category question is settled, the money is already being spent, and the only open decision is where it goes next — the most commercially valuable family here, and the one with the most rules attached.

The rule: do not pile on. In a thread about somebody else's product you are the one participant with an obvious stake in the answer, and everybody reading knows it. Answer only if the person asks what else exists, and write it as if the competitor were reading.

  • “moving away from [product]” · “migrating off” · “switching from [product]” · “moved off [product]”
  • “canceling our [product]” · “not renewing” · “cancelled our subscription to”
  • “fed up with [product]” · “anyone else having trouble with” · “[product] has gotten worse”
  • “[product] price increase” · “[product] new pricing” · “can't justify [product] anymore”
  • “looking for a replacement for” · “what did you move to” · “life after [product]”

5. Post-purchase: watch it, do not sell into it

The family everyone skips, and the only one where the correct action is usually to read and say nothing. It carries proof you can point at, early warning that a customer is unhappy in public, and the wording real users choose for your category — which is where next quarter's keywords come from.

  • “finally switched to” · “we ended up going with” · “we moved to [product] and”
  • “six months in with” · “a year of using” · “still using [product] after”
  • “wish [product] did” · “the only thing missing from [product]” — feature demand, phrased as praise.
  • Your own product name and its misspellings — the one brand entry this page keeps, because complaints arrive spelled wrong.
  • Reply to thank, to fix, or to answer a follow-up. Never to pitch.
03

How do the same phrases change per platform?

A phrase is a piece of writing, and people write differently in five different rooms. The intent is identical; the sentence is not, and a swipe file copied unedited onto all five platforms will go quiet on three of them.

Two mechanical facts shape the rewrites as much as register does. Matching is case-insensitive everywhere, so capitalisation never matters — and comments and answers are matched on their own text, not on the title of the post they sit under, so a phrase has to appear in the reply itself to catch a reply.

How the same buying question gets written on each platform, and what a keyword can reach there.
PlatformHow intent gets phrasedWhat to change
RedditFull sentences with the context volunteered: “we're a 4-person agency still doing this in a spreadsheet — any tool for this that isn't enterprise?”The home platform for this page: posts and comments both covered, and per-keyword subreddit scoping is the one thing that makes a broad phrase survivable.
X (Twitter)Compressed and abbreviated: “recs for”, “anyone know a good”, “what are people using for”. The polite “can anyone recommend a tool for” barely appears.Shorten everything, drop the courtesy words. Keep X's own search syntax out of a keyword — a leading minus or “from:” is interpreted by X, not by us.
Hacker NewsNobody asks for the “best” anything. Intent arrives as an engineering question — “how do you handle”, “what are people running for” — or as “we ended up building our own”.Trade shopping vocabulary for operational. A link submission has no body text, so its title is all a keyword can match there.
QuoraLiterally interrogative, because the unit of content is a question: “What is the best [category] for [buyer]?”, “Is [product] worth it?”The evaluation family lands hardest here. Under Broad Match a Quora question skips the local text check, so a keyword surfaces related questions too; Phrase Match restores it.
LinkedInAnnouncement register, first person plural: “we're evaluating [category] this quarter”, “open to recommendations”, “after two years we've moved off [product]”.Posts only, so anything you would only find in a comment is wasted. Favour switching and post-purchase phrasing — that is what people announce.
How the same buying question gets written on each platform, and what a keyword can reach there. Allowances differ by plan and platform. As of August 2026: Lite ($29/month) covers Reddit and Hacker News at 20 keywords each; Pro ($79/month) 60 and 60 plus 10 each on Quora, LinkedIn and X; Growth ($199/month) 150/150/25/25/25.

Track the fragment, not the sentence

Read the middle column above as one buyer writing in five rooms in the same week. What survives every rewrite is short — “any tool for”, “recs for”, “how do you handle”, “best social listening”, “open to recommendations” — and those fragments are what belongs in the keyword field. The full sentence never repeats exactly.

04

Which of these phrases will lie to you?

Every family on this page has a way of producing mentions that look like intent and are not. Most of it is predictable, and about half of it is mechanical rather than linguistic — which means it has a mechanical fix.

The trap that catches everybody: small words buy you nothing

ParseStream's default is Broad Match, which requires every word in your keyword to appear somewhere in the text, in any order and any distance apart. So “alternative to” asks for “alternative” and for “to” — and “to” is in essentially every post ever written. That keyword therefore behaves almost exactly like the bare word “alternative”, which is the noisiest possible version of what you meant.

The same goes for “is there a way to”, “how do you handle”, “what do you use for” and most of the solution-seeking family, all built from the commonest words in the language. Phrase Match makes them what you thought you were typing: one literal string, in order, re-checked locally rather than quoted upstream in any platform's search. Use it wherever meaning lives in the word order — “alternative to”, “moving away from”, “worth it”, “[A] vs [B]” — and leave Broad Match for concepts that can be said several ways.

Phrases that mean something else somewhere else

The other half is ordinary ambiguity, and it is worth predicting rather than discovering. Each of these fires constantly in conversations with nothing to do with software:

  • “alternative to” — alternative medicine, alternative energy, alternative rock. The biggest single source of junk here.
  • “worth it” — films, degrees, gym memberships, a flight with a layover.
  • “switching from” / “moving away from” — jobs, cities, programming languages, phone carriers.
  • “canceling” — streaming services, flights, plans for the weekend.
  • “recommendations for” — restaurants, books, contractors. The verb is not the signal; the noun beside it is.
  • Matching is a case-insensitive substring test that neither respects word boundaries nor stems anything, so a short keyword also fires inside longer words.

Three fixes, in the order worth trying them

Work down this list rather than deleting the keyword — the phrase that catches vendors is usually the same one that catches buyers.

  • Add the noun. “Alternative to” is a shape; “alternative to [your category]” is a question about your market. Most of the ambiguity above disappears here.
  • Scope it. A per-keyword subreddit list narrows results after a site-wide Reddit search, so a broad phrase pinned to three or four communities becomes readable. Reddit-only, and it can only narrow.
  • Describe the exception in plain English. An AI Filter on that keyword — “only keep threads where the writer is weighing two products they name” — is checked against every mention that matched, and lets you loosen the keyword underneath it.
  • Expect other vendors. “Alternative to [big product]” is exactly what your competitors write in their own marketing posts, which is what the promotional tag is for.
05

What do you track first when you can't track everything?

Nobody has room for all five families across five platforms, and the attempt is how a queue becomes unreadable. Slots are counted per platform, so the budget is smaller than the headline number suggests — and the scarcer resource is your attention anyway. Four decisions, in the order they matter.

  1. Step 1Pick the family that matches where your buyers are

    If your category is established, start with solution-seeking and evaluation — the shortlist is being written and you can get into it. If it barely has a name, those threads do not exist yet and problem-aware language is nearly the whole opportunity. If you sell against entrenched incumbents, switching language outranks both: the budget is approved and only the destination is open.

  2. Step 2Drop anything you cannot answer this week

    A keyword is a promise to read what it catches. A phrase producing threads you have no useful answer to is worse than no keyword, because it teaches you to skim the queue — and skimming is what kills the channel, not volume.

  3. Step 3Do your experimenting where mistakes are cheap

    Reddit, Hacker News and Quora meter at the AI-check stage, once a mention has already matched a keyword. LinkedIn and X meter at retrieval — 1 credit per LinkedIn post, 0.5 per X item — before anything filters them. So tune your phrasing on Reddit and Hacker News, and promote an entry onto the paid-at-retrieval platforms once you know it works.

  4. Step 4Cap the list, then let the week rewrite it

    Two or three phrases per family you chose — roughly a dozen entries — then leave it for a week and read what came back in one sitting. A new keyword runs immediately, pulling a week of Reddit posts and Hacker News history with it, so a phrase reports back almost straight away; after that each is re-checked about hourly.

    Then do the step that compounds: promote the wording you found in the good threads, and retire the weakest entry for every one you add.

06

Where does ParseStream fit?

Everything above works with no tool at all — the phrases are the deliverable, and you can paste them into any search box on any of these platforms this afternoon. What does not work by hand is doing that every day, on five platforms, for a dozen phrases, forever. That is the job ParseStream takes: the list becomes keywords, each match is qualified before you see it, and what arrives is a queue of lead opportunities tagged with what the person wants.

Loading the swipe file

Keywords are added one at a time, and each carries its own settings rather than inheriting a global config: which of the five platforms it runs on, Broad or Phrase Match, posts or comments or both, an optional subreddit list on Reddit, and an optional AI Filter.

That is what makes a list like this practical: “alternative to [rival]” can run on Phrase Match across Reddit and Quora with a filter attached while “doing this by hand” runs Broad Match on Reddit alone, scoped to three subreddits.

The AI Filter is the condition your phrase could not express

Half the false positives on this page are judgements about a sentence rather than facts about its words, and no keyword can hold a judgement. An AI Filter can: a plain-English instruction attached to one keyword, checked against every mention that matched it.

Lead Detection is the second pass, asking a different question — not “does this match the rule” but “would this writer plausibly buy what you sell”, scored against your brand description. Each pass costs a credit per mention it checks and an approved mention costs one more, so a tighter list is a cheaper one.

Intent tagging, and why the Leads view is short

Whenever an AI Filter or Lead Detection is running on a keyword, each mention also gets one intent tag at no extra cost — buy intent, product question, competitor complaint, pain point, testimonial or promotional. That is the machine answering the question this page asks: which family did this land in?

The Leads view collects the two that mean somebody is shopping, buy intent and product question — the queue to open on a busy morning. Pain-point, competitor-complaint and testimonial mentions deliberately do not appear there; reach those with the intent filter and treat them as a slower queue. The tags are also the report card on your swipe file: a phrase producing nothing but promotional tags is catching vendors, and one producing nothing but pain points is catching people months away.

Then comes the part this page does not cover

A phrase that fires puts a stranger's question in front of you, and everything after that is writing. ParseStream drafts a Suggested Reply from your brand context and the thread it appeared in, at 5 credits each; you edit it and post it yourself from your own account, because automatic posting is disabled at the server level by design.

What to actually say — lead with the answer, trade adjectives for specifics, disclose in the reply rather than in your profile, skip the link — is a whole guide of its own, and it is the one to read next.

Frequently Asked Questions

What are buyer intent keywords?

How is this different from my social listening keyword list?

Won't “alternative to” match a lot of irrelevant posts?

Do the same intent phrases work on LinkedIn and Hacker News?

How many buyer intent keywords should I track?

How does ParseStream tell buying intent from ordinary chatter?

Related reading

What to do when one of these phrases fires, and where the rest of the keyword list comes from.

Replies that turn mentions into customers

The next two minutes: what to write once one of these phrases puts a stranger's question in front of you.

How to qualify a lead from a single Reddit post

The per-thread sequel to this page: reading one thread — the post, the poster, the room and the clock — once a phrase has surfaced it.

Social listening keywords

The full list this page goes deep on — all five kinds of entry, plus scoping, list size and what to cut.

Find pain points on Reddit

The stage before this one: the phrases that mean somebody has an unsolved problem, not a shortlist.

How to find leads on Reddit

Where most of these phrases land first, and how to keep the queue readable once they do.

How to find leads on X (Twitter)

The platform that compresses every one of these phrases, and where the reply window is measured in hours.

Track competitors on Reddit

Going further on the switching family: rival names, and the language people use while leaving them.

Reddit keyword monitoring

Posts and comments, with the per-keyword subreddit scoping that makes a broad phrase survivable.

Quora keyword monitoring

Where the evaluation family lands hardest, because the unit of content is a question.

Hacker News keyword monitoring

The platform where shopping vocabulary fails and operational phrasing works.

LinkedIn keyword monitoring

Posts only, and the announcement register that switching and post-purchase phrases live in.

X (Twitter) keyword monitoring

Posts and replies, matched hourly, on the platform that rewards the shortest phrasing.

Sources

Every statistic on this page comes from the published research below and was last checked in August 2026. Search and AI-citation data moves quickly, so treat the figures as a snapshot of 2026 rather than a permanent state of affairs.

Put the swipe file to work

Add the phrases that match your buyers and ParseStream watches Reddit, Hacker News, Quora, LinkedIn and X for them, qualifies each match, tags what the person wants, and drafts a reply for you to edit and post yourself.

3-day free trial · Five platforms on one keyword list · You post every reply yourself