Sharpr for Competitive Research

You know the pattern. One or two people build something good: a tracker of competitor moves, a set of battlecards, a running read on pricing and positioning. It works for a while. Then the volume outgrows the spreadsheet, the person who built it moves to another role, sales stops opening the deck, and the company goes back to relying on whatever a rep heard on a call last Tuesday.

The failure is almost always infrastructural. Competitive intelligence needs somewhere to accumulate, a way to be found, and a mechanism to reach people who will never go looking for it. We built all three into one platform.

The four problems every CI function hits

Capture is manual and inconsistent. Intelligence arrives from everywhere: earnings calls, press releases, job postings, release notes, review sites, conference talks, analyst reports, trade press, customer conversations, win/loss interviews. Getting all of it into one place currently depends on somebody remembering to do it.

Retrieval degrades as you succeed. Three hundred competitor documents in a folder is a liability with a filename. The more you accumulate, the less usable it becomes without real search.

Distribution eats your week. Sales, product, and executives want different things at different cadences. One monthly newsletter is too much for the CEO and too little for the seller. So you do it by hand, which caps how much analysis you can produce.

Your impact is invisible at budget time. You get asked to prove value and all you have is anecdote. Anecdote loses to a spreadsheet of headcount costs every year.

What we built

One-click capture with Sharp It

This is the feature competitive researchers react to first, and it is not complicated. Sharp It is a browser bookmarklet. Drag it to your bookmarks bar. Click it on any page and that page is in your Sharpr hub with the source URL preserved.

Competitor pricing pages, product announcements, funding news, executive hires, analyst commentary, review site changes, trade coverage. Whatever you are looking at, one click.

The bigger effect is that capture stops being your job alone. A product manager who spots a release note, a seller who finds a competitor case study, a marketer reading trade press. All of them can contribute without being trained on anything. You stop being the only input.

Automatic organization of an archive that keeps growing

We process and categorize content as it arrives, generating summaries, tags, and connections between related material. A competitor's earnings transcript, your analyst's readout, and the pricing page you captured three weeks earlier get connected instead of filed separately.

That automation is the whole reason a large archive stays usable. The organizing work CI teams normally do by hand, and then quietly stop doing around month five, happens on ingest.

Search built for the questions you get

Our GenAI search takes plain language. Ask what has changed in a competitor's enterprise pricing over eighteen months. Ask what win/loss interviews said about a specific objection. Ask which competitors have moved into a vertical. Ask what your team concluded the last time this competitor launched into an adjacent category.

Everything returns with AI summaries. For a function where questions arrive urgently and without notice, this is the difference between being consulted and being cc'd on the recap.

Distribution that runs itself

Our briefs, newsletters, and alerts handle the part of your job that is pure logistics.

A typical setup:

• Alerts to product whenever new content lands on a named competitor, so a launch does not reach them through a customer.
• A weekly sales brief covering what changed, what it means, and how to handle it in conversation, delivered to the inbox rather than parked in a portal.
• A monthly executive brief stepping back from tactical moves to cover structural shifts.
• Per-competitor hubs, so a rep facing a specific competitor finds current positioning in one search.
• A quarterly competitive overview assembled from material already captured, which cuts the prep time on a deck you build every quarter anyway.

Push and pull together is what keeps adoption up. Analysts and product managers search. Sellers and executives receive. Neither group has to behave like the other.

Analytics that answer the budget question

We track engagement across the organization: which battlecards get opened, which competitor hubs get traffic, which briefs get read, by whom.

That gives you three things. Evidence of value in a form finance understands. A feedback loop on what the organization needs, because the topics people search for and cannot find are your next priorities. And an early warning system, because a sudden spike in searches for a competitor usually means sellers are hitting them in the field before it shows up in your win rates.

Three ways teams use this

Standing up CI from nothing. A newly hired CI lead has no repository, no process, and a mandate to show value inside a quarter. She collects what exists: scattered battlecards, an old competitive overview deck, win/loss notes in the CRM, analyst reports from three separate subscriptions. We migrate it, organize it automatically, and within weeks she is running a weekly sales brief and per-competitor hubs. Visible output arrives long before a custom build would have shipped.

Responding to a competitor's major launch. Within an hour the team has captured the announcement page, the pricing page, the press coverage, and the analyst reactions through Sharp It. Search surfaces the prior analysis on this competitor's last two launches, including how their execution compared to their announcements. An alert goes to product and executive leadership the same day. A sales brief with objection handling follows the next morning.

Making win/loss compound. Win/loss interviews are valuable and routinely wasted, because each batch gets summarized once and shelved. Stored together, they become a searchable body of evidence. A product manager asking what buyers have said about a capability gap across two years of interviews is getting a fundamentally better input than one quarterly summary.

An operating rhythm you can sustain

The difference between a CI function that lasts and one that winds down is usually cadence. What works:

Continuous. Capture through Sharp It as people encounter things, by you and by everyone else. Alerts fire automatically on named competitors.

Weekly. A sales-facing brief on what changed and how to handle it. This is the artifact that keeps CI visible to the revenue organization.

Monthly. An executive brief on structural shifts, assembled largely from what is already captured, so the work is analysis rather than collection.

Quarterly. A competitive overview plus a look at the engagement analytics. What people are reading and searching for sets next quarter's priorities.

This holds up because the collection and organization layers do not depend on anyone's discipline. A one person CI function can run this cadence indefinitely. A spreadsheet-based operation cannot.

Doing this responsibly

Competitive research carries real compliance obligations, and a governed platform helps. Role-based access across hubs and individual content lets you separate material that should circulate widely from material with restricted handling. Audit trails and permission structures give legal visibility into who can see what.

We run on GDPR compliant, ISO 27001 compliant, SOC 2 aligned infrastructure, with SSO through ADFS, Okta, SAML 2.0, or Google Workspace, SCIM 2.0 provisioning, AES-256 at rest, TLS 1.3 in transit, and logical tenant isolation. Offboarding workflows remove access cleanly, which matters more in CI than in most functions.

What we are not

We are not a data feed. We do not scrape competitor sites for you or sell you a firehose of alerts you did not ask for. You decide what is worth capturing.

We are not a battlecard authoring tool with sales enablement workflow built in. If that is the whole of your need, buy that.

And we are not general enterprise search. Those index everything, which in most companies means a lot of noise. We work over content somebody deliberately kept.

This works whether you are one person or twelve

A team of one. You are the whole function, you are drowning, and every hour spent organizing is an hour not spent analyzing. Automatic tagging and summarization plus scheduled briefs is effectively a second headcount that does the administrative half of the job. Most solo CI leads see the difference within a month.

A team of three to five. Your problem is consistency. Everyone captures differently, everyone names files differently, and coverage depends on who is watching what. One hub with automatic organization removes the coordination overhead, and per-competitor hubs make ownership visible.

A larger function embedded across business units. Your problem is duplication and fragmentation. Multiple hubs with controlled sharing let each unit run its own coverage while the shared material stays shared, and the analytics show you where two teams are tracking the same competitor without knowing it.

Pricing is user-based with enterprise options, so a one person function can start small and expand as CI gets pulled into more parts of the business, which it will once the briefs start landing.

Getting started

Whatever holds your competitive material today, we migrate it free of charge: content, structure, users, permissions, archives. A dedicated customer experience manager runs implementation and builds training around your actual audiences.

Request a demo and bring your current competitor tracker. Seeing it searchable, summarized, and distributing itself usually makes the decision short.