Glimpse
The competitive intelligence agent
123 followers
The competitive intelligence agent
123 followers
Your competitors move every day. Glimpse is the AI agent that keeps up. It tracks every competitor across ads, pricing, hiring, content, reviews and AI search, then turns each move into your next one: always-current battle cards, your real win rate, and the demand you lose in AI answers before a deal exists. Delivered to Slack and your inbox. It runs the whole competitive program for you, so a team of one moves like a team of ten. Start free in minutes.
@sven_de_meyere1 Congrats on the launch!
'A team of one moves like a team of ten' really resonates. We think about the same leverage question on the lead-capture side (turning one scanned card into a fully enriched, ready-to-act lead).
Curious how you handle signal-vs-noise as competitors scale, does Glimpse learn which moves actually matter to a specific sales team over time, or is every battle card treated the same?
@mittalpatel Signal-vs-noise is honestly the whole product. Raw monitoring is easy; the hard part is not burying a sales team in it. Today Glimpse handles it in three layers:
Every competitor gets its own baseline. A pricing page change from a competitor that never touches pricing means something very different than one from a company that A/Bs it weekly. Insights only fire when activity clears a materiality threshold vs that competitor's own normal, so "20 page changes this week vs a typical 7" surfaces, routine churn doesn't.
Insights carry severity (alert / warning / info), so a team can decide where their attention floor sits. Most of the stream never needs to be read.
Teams can dismiss insights, and that feedback is the seed for the part you're really asking about: learning what matters to your team specifically. Full per-team relevance learning (this team cares about pricing and hiring, ignores social) is where we're headed rather than fully shipped today. I'd rather be honest about that than pretend the magic is done.
Battle cards are per-competitor and regenerate from live signals, so they're not treated the same in content, but the prioritization layer above them is what makes the difference between intel and noise.
Competitive tracking is the task I'm worst at keeping up with. Right now it's eight open tabs and a note I stopped updating in March, so an agent that just watches is appealing. The part I'd worry about is signal. Most of what a competitor changes is noise (a button color, a new blog post), and the stuff that matters (a pricing move, a repositioning) is rare and easy to miss. Does Glimpse rank changes by how much they actually matter, or surface everything and leave the triage to me? I watch one incumbent pretty closely, so that filter would be the whole thing for me.
@chielephant Short answer: ranked, not dumped. Glimpse separates raw signals from insights. Signals are everything we observe (and yes, that includes the blog posts and the button colors, the full stream is there if you ever want to dig). Insights are the layer you actually read: changes that cleared a materiality threshold against that competitor's own baseline, tagged by severity. A pricing page edit, an unusual spike in messaging changes, a repositioning pattern across several pages. The routine churn never reaches you.
Your one-incumbent case is actually where this works best. The baseline gets tight fast, so deviations stand out clearly. If your incumbent normally touches their site twice a week and suddenly rewrites their pricing and positioning pages, that's an alert in your inbox with the why attached, not item 47 in a feed.
And the rare-but-critical stuff you mentioned (pricing, repositioning) is exactly what the severity model weights highest, because you're right: missing one of those is the whole cost of doing this badly.
the "demand you lose in AI answers before a deal exists" line is what caught my eye, that's a real blind spot most competitive intel tools don't touch. how do you actually measure that - are you prompting a bunch of models with buyer-style questions and tracking who gets mentioned, or is there a more direct signal
@omri_ben_shoham1 What Glimpse does: we build a panel of 25 buyer-style prompts for your category (the questions a real evaluator would ask, "best X for Y", comparison questions, "alternatives to [incumbent]", problem-framed questions rather than brand-framed ones). We run that panel against the major models and AI search surfaces on a recurring schedule, then track three things over time: whether you're mentioned at all, where you sit relative to competitors, and what sources the answer cites.
The citation part matters most in practice, because it tells you which pages are feeding the answers, and that's the part you can actually act on.
The "before a deal exists" framing comes from that last piece: if the models consistently recommend your competitor for the exact question your ICP asks, you're losing evaluations you never knew were happening. No CRM will ever show you that loss.
Fair caveats: it's sampling, not a census. Model answers vary run to run, so we track trends and deltas rather than treating any single answer as ground truth. Point-in-time AI visibility scores are mostly noise; the movement is the signal.
That's clever. Does it surface competitor pricing changes in real time or on a scheduled batch cadence?
@dhiraj_patel5 We check twice a day for changes, which for something like a pricing page should be more than enough. :-)
The AI-answer-visibility signal is the freshest part here — everyone tracks competitor ads/pricing/hiring, almost nobody tracks where rivals surface inside LLM answers. Two setup questions: how do you actually sample that (which models and queries, and how often is it refreshed), and when the agent flags a "move," does it link the raw source so I can verify before it auto-updates a battle card my sales team reads? Day one, do I feed it my competitor list or does it auto-discover them?
Congrats on the launch. The useful part for me is the jump from monitoring to deciding the next move. When Glimpse sees a pricing change, new ad angle, and a few review complaints at the same time, does it rank those signals by confidence or business impact before suggesting an action? That prioritization layer feels like where a team of one either gets leverage or just gets more alerts.
Looks very useful to priortize your efforts. In such a crowded space, it's mandatory. Ideally the system should subscribe & test competitor's products :) Good luck !
@vincent_vandegans Thanks for the support & interesting idea, appreciated!