Intent signal and Brand Context: get better Fit Scores
Teach SnitchFeed's AI which posts you want. Write an intent signal, list noisy signals and keep Brand Context current for sharper Fit Scores.
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SnitchFeed's AI gives every mention a Fit Score: how well the post matches what you are looking for. You teach it what you want with three inputs. The clearer they are, the more your top-scored mentions are real conversations you can act on.
| Input | What it tells the AI | Applies to | Where to edit it |
|---|---|---|---|
| Intent signal | Which posts you want | One listener | The listener's Intent Signal section |
| Noisy signals | Which posts to score down | One listener | The listener's Intent Signal section |
| Brand Context | Who you are, what you sell, who buys it | The whole workspace | Workspace Settings → Brand Context |
The AI reads all three together for every mention. Brand Context explains your business once. Each listener's intent signal and noisy signals say what that listener should hunt for. Neither replaces the other: if Brand Context is empty or out of date, Fit Scores can look arbitrary even with a strong intent signal.
The examples below use one scenario: you sell a Notion competitor and want people who are frustrated with Notion or asking for alternatives.
Intent signal
The intent signal is a short brief of the posts this listener should surface. Keyword matches that fit it get a higher Fit Score.
A useful intent signal names:
- Who you want to hear from.
- What situations matter: complaints, comparisons, migrations, buying questions.
- What to prioritize.
Writing in the first person ("I want...") or as an instruction ("Find...") both work. Vague text such as "anything about productivity" gives vague scores.
Example (Notion competitor)
I want posts from startup founders, ops leads and marketers who are frustrated with Notion or shopping for a replacement: complaints about sync, mobile, permissions, billing or enterprise limits; threads asking what to use instead of Notion; and comparisons with other docs or wiki tools. Prioritize switching intent and real workflow pain.
Noisy signals
Noisy signals describe posts that match your keywords but are not worth your time. SnitchFeed gives them a low Fit Score. They are optional.
Noisy signals do not remove posts. They only lower the score. To drop posts entirely, use skip words in your keywords instead.
Patterns many teams list here:
- Job and hiring posts: open roles, "we're hiring", recruiting threads, people looking for work.
- Students: coursework, class projects and homework help.
- Certification posts: "I passed X" posts with no buying angle.
- Promotions: affiliate links, template sellers and giveaways.
Example (Notion competitor)
Job listings and recruiting; Notion template sellers, marketplace spam and affiliate links; fan posts with no complaint or buying angle; student homework and shallow tutorials; giveaways; generic motivational posts that never mention tools or switching.
Keep noisy signals specific. A very broad list can drag down posts you would have wanted.
Edit the intent signal and noisy signals
Open a listener and select Intent Signal. The section has two fields:
| Field in the app | What it is | Length |
|---|---|---|
| What kind of posts are you looking for? | The intent signal. Required. | 200 to 500 characters |
| What is not relevant to you? | The noisy signals. Optional. | Up to 500 characters |
Spaces at the start and end do not count toward the length. Each listener has its own fields, so different listeners can target different competitors or buyers.
On a new listener, click Save Intent, then Save at the top of the editor.
Save the intent first
The editor will not save other listener changes while the intent fields have unsaved edits. Update the intent, then make your other changes.
Re-score mentions after a change
When you change the intent on an existing listener, you can re-score recent mentions so their Fit Scores match the new text.
Edit the fields
Change the intent signal, the noisy signals, or both.
Click Update Intent
The Update Intent Signal dialog opens.
Choose how many mentions to re-score
Move the Mentions to re-score slider. The dialog shows the cost: re-scoring costs 0.5 credits per mention.
Click Apply
SnitchFeed saves the new text and re-scores in the background. This can take a while.
Brand Context
Brand Context is your workspace profile: who you are, what you sell, who you serve and how you position. It applies to every listener in the workspace.
It has five sections:
| Section | What it holds |
|---|---|
| Core Business | Company description, product summary and product positioning |
| Target Audience | Primary and secondary target audience |
| Ideal Customer Profiles | Up to 5 best-fit customer segments, each with a name and description |
| Use Cases | Problems your product solves |
| Case Studies | Proof points: title, description, results and industry |
How SnitchFeed builds it
During onboarding you enter your company website. SnitchFeed reads its public pages and fills in Brand Context in three phases: Gathering website data, Understanding your brand and Building context for intent monitoring. If you don't have a website, you can paste a description of your business instead.
Edit Brand Context
Open Brand Context
Go to Workspace Settings → Brand Context (app.snitchfeed.com/settings/brand-context).
Edit a section
Pick a section on the left and change its fields.
Save
Click Save.
Workspace owners and collaborators can both edit Brand Context. See Team & roles.
Rebuild Brand Context from your website
Click Import from Website when your positioning, site copy or product changes. SnitchFeed checks that the domain is reachable, reads the site again and rebuilds Brand Context.
- If the website is unchanged, it asks you to confirm first.
- A rebuild can take a minute or two. The form is locked until it finishes.
- Only business websites are accepted. Free email provider domains are rejected.
Review after a rebuild
Check each section and fix anything the import missed before you rely on scores and suggestions.
Next steps
- Fit Score: what the score means and how it is banded.
- Troubleshooting: what to do when good posts score low.
- Create a listener: where the intent fields sit in setup.
Advanced search
Write raw boolean queries with AND, OR, NOT, quotes and parentheses, and filter LinkedIn and X results by author, company, likes and language.
Track profiles
Follow LinkedIn people, LinkedIn company pages and X accounts so their new posts land in your feed, even when they match no keyword.