ForumScout vs Xpoz in 2026: continuous monitoring with AI replies vs on-demand natural language queries
ForumScout watches keywords around the clock and drafts a reply for every match. Xpoz answers plain-English questions against 1.5 billion posts on demand, and plugs directly into Claude or Cursor through MCP.
ForumScout
Xpoz- Xpoz uses natural language queries against a 1.5 billion post database instead of standing keyword monitoring, and ships a free tier with 2,500 credits. ForumScout has no free tier and runs on continuous keyword alerts starting at $19/month.
- Xpoz has an MCP server that makes its social data queryable directly from Claude, Cursor, or any MCP-compatible AI client. ForumScout has no MCP or LLM-client integration.
- ForumScout drafts an AI reply for every matched mention, turning monitoring into an engagement workflow. Xpoz has no reply or engagement feature; it returns matching posts with sentiment and engagement data attached.
- ForumScout covers 8+ platforms including LinkedIn, YouTube, and news sources. Xpoz covers 4 platforms only: Twitter, Instagram, TikTok, and Reddit, but includes TikTok, which ForumScout does not monitor at all.
- Xpoz bills by credits consumed per query, which the platform estimates before you confirm, so cost scales with usage rather than headcount or keyword count. ForumScout bills by keyword volume with unlimited team seats.
- Neither tool has persistent, purpose-built real-time alerting in the same sense as a dedicated monitoring platform like Syften; Xpoz is explicitly on-demand, and ForumScout does not publish detection-speed benchmarks.
ForumScout and Xpoz both sit at the affordable end of brand monitoring, but they are built around different questions. ForumScout continuously watches Reddit, LinkedIn, Twitter/X, YouTube, Instagram, Bluesky, forums, and news for keyword matches, scores each for relevance, and drafts an AI reply so a team can act on what it finds. Xpoz works differently: instead of a standing keyword feed, you ask it a question in plain English and it searches a database of 1.5 billion posts across Twitter, Instagram, TikTok, and Reddit for an answer, billed by credits rather than by seat or keyword count. Xpoz also ships an MCP server, which means its social data is queryable directly from inside Claude or Cursor, something ForumScout has no equivalent for. If your team needs an always-on alert feed that turns into outreach, ForumScout is the fit. If your workflow is research sprints and AI-assisted analysis rather than continuous alerting, Xpoz is built for exactly that.
The tools at a glance
ForumScout
Social listening with AI-generated reply suggestions for sales and growth teams
ForumScout runs continuous keyword monitoring across Reddit, LinkedIn, Twitter/X, YouTube, Instagram, Bluesky, forums, and news, scoring every match for relevance so a team is not sorting through off-topic noise. The standout feature is what happens next: each mention gets an AI-drafted reply, reviewed and posted by a person, which compresses the time between finding a conversation and engaging with it.
Pricing runs $19 to $129 a month across three tiers, all with unlimited team seats, so a growing team never pays more per person. Webhooks and a Google Sheets integration ship on every plan, giving teams a lightweight way to route mentions into existing workflows without extra tooling.
ForumScout has no on-demand query mode and no MCP integration, so it is not built for a researcher who wants to ask a one-off question about what people are saying and get an answer immediately. It assumes you already know what you are monitoring for and want a standing feed, not a search interface.
| Feature | Starter $19/mo | Pro $49/mo | Ultra $129/mo |
|---|---|---|---|
| Keywords monitored | 5 | 15 | 50 |
| Team seats | Unlimited | Unlimited | Unlimited |
| AI reply suggestions | Yes | Yes | Yes |
| Platforms covered | 8+ | 8+ | 8+ |
| API access | No | Yes | Yes |
| Priority support | No | No | Yes |
Xpoz
Natural language queries across 1.5B+ social posts via API and MCP integration
Xpoz lets you query a database of over 1.5 billion posts from Twitter, Instagram, TikTok, and Reddit using plain English instead of Boolean search operators. Ask a question, and it returns relevant posts with sentiment, engagement data, and context attached, ranked by relevance rather than recency.
The MCP server is the feature that sets it apart from anything in ForumScout: it exposes Xpoz's query capability directly inside Claude, Cursor, or any MCP-compatible AI environment, so a product manager or researcher can pull live social data into an AI-assisted workflow without switching tools. Billing runs on credits, with a free tier of 2,500 credits to test coverage and paid plans starting at $20 a month.
What Xpoz does not do well is continuous alerting. You can set up recurring searches, but there is no dedicated real-time infrastructure built for instant notification the way a keyword-monitoring tool has, and coverage stops at four platforms with no LinkedIn, YouTube, Hacker News, or news-source monitoring at all.
| Feature | Free $0 | Pro $20/mo | Max $200/mo |
|---|---|---|---|
| Credits included | 2,500 | 30,000 | 600,000 |
| Platform coverage | 4 platforms | 4 platforms | 4 platforms |
| Natural language queries | Yes | Yes | Yes |
| MCP server | Yes | Yes | Yes |
| REST API access | Yes | Yes | Yes |
| Priority support | No | No | Yes |
Head-to-head feature comparison
| Feature | ForumScout | Xpoz |
|---|---|---|
| Monitoring model | Continuous keyword monitoring | On-demand natural language query |
| Platforms covered | Reddit, LinkedIn, Twitter/X, YouTube, Instagram, Bluesky, forums, news (8+) | Twitter, Instagram, TikTok, Reddit (4) |
| AI reply / engagement suggestions | Yes, on every plan | No |
| MCP / LLM-client integration | No | Yes, MCP server for Claude and Cursor |
| Free tier | No, contact ForumScout to confirm trial availability | Yes, 2,500 credits |
| Pricing model | Keyword volume, unlimited seats | Credit-based, scales with usage |
| TikTok coverage | No | Yes |
| LinkedIn / YouTube coverage | Yes | No |
| API access | Pro plan ($49/mo) and above | Yes, on every plan |
| Starting price | $19/mo | $0 (paid plans from $20/mo) |
Which should you choose?
ForumScoutXpozXpozForumScoutXpozXpozThe instinct to compare these two on price or platform count misses the actual decision. ForumScout is a monitoring tool: it assumes you already know your keywords and want an always-on feed that produces something actionable. Xpoz is a query tool: it assumes you have a question right now and want an answer from a large post database without setting up a standing configuration first. A sales team running ongoing social selling needs ForumScout's continuous feed and reply drafts. A product manager doing a one-week research sprint on customer sentiment around a launch is better served by asking Xpoz a plain-English question and getting results immediately, especially if that research happens inside a Claude or Cursor session via MCP.
Bottom line
Choose ForumScout if you need an always-on monitoring feed across eight-plus platforms that turns into a drafted reply your team can act on. Choose Xpoz if your work is closer to research than monitoring, if TikTok matters to your coverage, or if you want social data queryable from inside an AI tool you already use. The free tier makes Xpoz close to zero-risk to test; the unlimited seats make ForumScout's $19 entry price easy to justify for a small team. They solve different jobs well enough that running both is a reasonable setup for a team that does both continuous monitoring and periodic deep research.
Frequently asked questions
Is Xpoz a replacement for continuous monitoring tools like ForumScout?
Not really. Xpoz is built for on-demand queries rather than persistent alerting, and while you can set up recurring searches, it lacks the real-time monitoring infrastructure that ForumScout and other dedicated tools are purpose-built around. Teams that need to know the moment a new mention appears should treat Xpoz as a research tool, not a monitoring replacement.
What does the MCP integration in Xpoz actually let you do?
Xpoz's MCP server exposes its social query capability as a tool inside any MCP-compatible AI environment, so once connected, you can ask Claude or Cursor a natural-language question about social conversations and get structured post data back directly in your session. ForumScout has no comparable integration; its interface is a dashboard and email or webhook alerts, not something queryable from inside an LLM client.
Which tool is cheaper for a solo founder just getting started?
Xpoz is cheaper to start with because its free tier includes 2,500 credits with no payment required, letting you test real coverage before spending anything. ForumScout has no free tier and starts at $19 a month, though it includes unlimited team seats and continuous monitoring from day one, which Xpoz's free tier is not designed to replace.
Does ForumScout cover TikTok the way Xpoz does?
No, ForumScout does not monitor TikTok at all. Its 8+ platforms are Reddit, LinkedIn, Twitter/X, YouTube, Instagram, Bluesky, forums, and news. Xpoz covers only four platforms total, but TikTok is one of them, alongside Twitter, Instagram, and Reddit, which makes it the better option if TikTok conversations matter to your brand.
Can Xpoz draft replies to social mentions the way ForumScout does?
Xpoz has no reply generation or engagement feature at all. It returns matching posts with sentiment, engagement data, and context attached, but stops there. ForumScout is the tool built specifically to turn a mention into a drafted response ready for human review and posting.
Is ForumScout or Xpoz better for tracking Reddit buying-intent signals?
Both cover Reddit, but the approach differs. ForumScout runs continuous keyword monitoring with AI relevance scoring built to surface buying-intent threads as they happen, then drafts a reply. Xpoz requires you to ask a specific question and returns ranked results on demand, which works well for a one-time research pull but is not designed to alert you to new threads in real time.