Playbooks
Competitive Intelligence: Maintain a Verified Change Log
Turn public competitor research into a verified change log with evidence, confidence and decision owners. Track manually without inferring revenue from social attention.
Social competitive intelligence is a repeatable process for recording material competitor changes and deciding whether your team should respond. A launch announcement, a revised message and a practitioner complaint are different signals. Verify each against its original source, retain what remains uncertain and assign a decision owner. Social visibility does not reveal a competitor’s entire strategy or private financial performance.
Define material changes for your team
Start with the decisions you can influence: product education, positioning, channel choice or a specific response to a launch. List the changes that would trigger review, such as a documented integration, a new offer or a repeated implementation issue. Exclude ordinary posting variation unless it affects one of those decisions.
Choose a small, named comparison set and an observation window. Record exact brand aliases and common ambiguous names. A mention of “Orbit” could refer to software, a creator or an unrelated object. Build an exclusion rule before counting posts, and retain a reason when a result is removed. Avoid collecting a feed simply because it is available.
Separate an event from a claim about the event
A vendor post can establish that a vendor made an announcement. It cannot on its own establish adoption or commercial success. Follow the announcement to current product documentation, release notes or a supplied demonstration when that is relevant. If the source is a customer report, keep its environment and publication date.
LinkedIn search and X advanced search provide native ways to investigate named sources and time context. Record the filters used and verify original posts. Results can be ranked, incomplete or unavailable; a failed retrieval is an access observation, not proof that the rival stopped communicating.
Competitor change and response log
| Observed event | Verification and response | |
|---|---|---|
| Event identity | Entity, date, source URL and specific changed claim | Has the same event already been recorded from another repost? |
| Baseline | Earlier dated source showing the previous state | What actually changed, rather than what is newly visible to us? |
| Evidence status | Announced, demonstrated, independently described or unresolved | What further source would confirm the capability or impact? |
| Possible implication | A bounded hypothesis tied to our buyer task | Which owner can decide whether action is warranted? |
| Next review | Manual check date, question and stopping condition | What would reverse or close the assessment? |
Worked example: a competitor changes its onboarding
Imagine a fictional scheduling vendor publishes a new “no-code setup” announcement. An earlier walkthrough required a manual import. The researcher records those two sources and checks the current setup instructions. The new claim is supported only for one integration; other inputs still require import steps. This is an invented example, not a report about an actual vendor.
The response log says “review our explanation for the supported integration,” rather than “competitor has removed all setup friction.” Product marketing owns the next comparison demonstration. A practitioner reply asking about another input becomes an unresolved question, not proof of customer churn. The assessment closes when the team verifies its own setup claim and decides whether a response will help the intended buyer.
Interpret comparisons and changes in attention
Head-to-Head Compare can organize available public source evidence, while Share of Voice can explore a defined comparison set. Neither makes different source coverage identical. If one brand has a new launch and another has sparse retrieved posts, keep that asymmetry visible rather than producing a definitive winner.
When reporting sampled mention share, state the counted unit, denominator, platforms, window and deduplication rule. A larger share can reflect controversy, a naming collision or collection changes. It is not market share. Trend labels are interpretations of observations, and social attention should not be described as a proven lead indicator of future revenue.
Maintain a manual review routine with ownership
Set a review cadence in the team’s existing calendar and rerun the recorded queries manually. Save the prior assessment separately so a refreshed answer does not overwrite the evidence for an earlier decision. The current product’s saved work and tracking should not be described as autonomous surveillance, guaranteed email alerts or zero-credit research reruns.
End each review with confirmed changes, unresolved signals and decisions made. Include important counterevidence and items that did not justify action. For a specific category use the SaaS buyer-task matrix; for a repeatable routine use competitor tracking. The research log template provides the underlying scope and provenance record.
Sources and research notes
Reviewed on 11 October 2026 against the linked official documentation and current Superlurk tool descriptions. The procedure and verified competitor event, baseline and response log are editorial guidance. Worked examples, sample counts and decisions are illustrative, not a measured customer study. Public-source coverage and native account eligibility vary; inspect the actual source and record missing evidence. How we approach social research.
- LinkedIn: Search on LinkedIn
Search categories include Posts, People and Companies.
- X: How to use advanced search
Logged-in native search by words, people and dates.
Frequently asked questions
Does a launch announcement prove successful adoption?
No. It proves the announcement was made; adoption requires separate relevant evidence.
What makes an intelligence update useful?
A material verified change, its decision implication, an owner and the next confirmation step.
Can social mention growth forecast revenue?
Public attention alone does not establish a dependable revenue forecast.
Tools used in this guide
Written by
The Superlurk Team
We build Superlurk — a cited social search engine across 24 platforms. We write about social media search, insights, and marketing.
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