Find your competitor's customers with Apollo, after Linkeddit picks the target

Apollo's guide to the job says finding companies that use a rival tool is the easy part, and names the detection methods: job postings that list the tool, integration marketplaces, case studies and customer logos, review platforms and website tags. It says to confirm a signal with at least two independent sources, because any one method can be out of date.

A third-party guide to the same job states that Apollo's technographic coverage varies by industry, so expect some misses. In practice, run the Apollo search through Claude, then ask Claude to label every company confirmed or unverified and show the source for each, so you never message a company about a tool it dropped a year ago.

The ranking guides skip this question and start with a competitor you already chose. Linkeddit answers it with data. On the test project, matomo.org held a Google top 10 position on 11 of 59 checked keywords at an average position of 3.73, and ChatGPT cited it 21 times in the latest answer run. umami.is, at 7 keywords, was cited 10 times by ChatGPT, and 17 times across all engines.

Visibility is half the picture. A competitor that buyers see everywhere but dislike is the useful target, so check its stored reviews and recent moves. Linkeddit records both with their sources, and Claude can set them beside the footprint.

Apollo's guide says a confirmed install is a qualification signal, not switching intent, and ranks business triggers such as a negative review among the evidence worth layering on. Reviews are where the reason to switch is written down in the customer's own words.

In the run above, a one-star Trustpilot review dated 22 April 2024 describes paying a year ahead and then being told to upgrade or lose access to the dashboard after traffic passed a pageview limit. That is one review, not a trend, so read many before you build a message on it. It does show what a usable complaint looks like: a specific, dated, checkable event.

Reviews rarely name the reviewer's company, so Linkeddit does not hand you a list of customers. It gives you the profile and the pain. Apollo supplies the companies and the people.

Vague pitches are a known problem. A B2B SaaS founder on Reddit wrote that "vague “we do it differently” claims kill cold outreach." Quoting a specific, dated complaint from a public review is the opposite of that claim, which is why the reviews step comes before the sequence is drafted.

Apollo's guide says most switch campaigns stall by pitching only the tool's daily user and skipping finance, IT and the executive who signs. It cites Gradient Works for the average B2B deal now involving 6 to 10 stakeholders.

Ask Claude to search Apollo for the buying group at each approved company and to write a different angle per role. Apollo's help article recommends enriching one company at a time for the best match and including the company domain. It also says to review sequence drafts before publishing and to confirm the sequence, the sender and the enrollment steps separately.

The Apollo connector is in beta, and Apollo's help article says its functionality and pricing may change, so check each result before you trust it. A technographic match is a signal and not a customer list, and Apollo's guide says to drop accounts with no confirmed decision maker or a contract that just renewed.

Measure the campaign by the quality of the list, not the volume. Count how many accounts Claude marked confirmed against unverified, how many replies cite the public complaint you referenced, and how many accounts you dropped for lack of a second source. Apollo's guide recommends scoring accounts on confirmed use, comparison intent and a business trigger. Rerun Linkeddit each week so a new competitor move or review can reopen an account you dropped.