Review public Facebook page competitors with source-backed post reports.

The quick answer

Facebook page competitor analysis works best when you focus on public post evidence: what the page posted, when it posted, what format it used, how viewers responded publicly, and which source links support the takeaway.

That evidence looks different on Facebook than it does on Instagram or TikTok. A Facebook page mixes native video, link posts, photos, and plain status updates in one feed, and public Facebook data rarely tags each row with a clean image, video, or carousel label the way an Instagram pull does — so telling a reel from a photo post from a text update often means opening the link itself rather than trusting a type field. Facebook also surfaces its own Page Transparency panel directly on the page (creation date, admin country, name and merge history), which has no real Instagram or TikTok equivalent and is worth checking before you open a single post. That combination — mixed formats, a weaker type signal, and page-level metadata living outside the post feed itself — is why a Facebook competitor report leans on the source link for every row more than an Instagram or TikTok report typically needs to.

What to capture

Inside a Facebook page report: McDonald's and lululemon

Run a public Facebook page pull on McDonald's and lululemon and the formats split in different directions. In a 20-post McDonald's sample, 6 posts are native Reels (30%), 2 are explicit multi-image carousels (10%), and the remaining 12 (60%) are standard page posts — link posts, photos, and status updates that Facebook doesn't break out by sub-type. The Reels carry the engagement: they average 12,442 likes and 1,048 comments per post, against 4,377 likes and 902 comments for the standard posts — roughly 2.8x the average likes from less than a third of the volume. The 2 carousels sit in between, averaging 8,070 likes and 1,370 comments.

lululemon's 20-post sample skews further toward video: 8 posts (40%) are native videos averaging 863 likes and 454 comments (and 154,751 views, since Facebook only reports a view count on video posts), 5 posts (25%) are photos, and 7 (35%) are standard page posts. The surprise is that the photos, not the videos, carry the highest engagement in this sample — 1,701 likes and 1,277 comments on average — while the plain page posts trail at just 437 likes and 127 comments. For a marketer auditing this page, that's the useful takeaway: video is the higher-volume format here, but it isn't automatically the top performer, and a report built only around "video vs. everything else" would miss that photos are quietly lululemon's strongest format in this window. That's the kind of per-brand variance a follower-count dashboard won't surface, and it's why a page-by-page pull matters more than a platform-wide rule of thumb.

How InstaSeer helps

1. Load a public page handle when available. Keep the report public-data-only.
2. Review post examples. Look at dates, captions, formats, and source links before the summary.
3. Compare across platforms. Use the same template for Instagram, TikTok, and Facebook so the team can see channel differences.
4. Export the useful fields. Keep proof posts, notes, and next tests connected.

In practice, a Facebook page report row carries the same core fields used across every platform in the tool — post type, caption, date, likes and comments, a view count when the post is a reel or native video, and the original facebook.com link — so a McDonald's reel and a lululemon photo post sit in one comparable structure even though the underlying formats differ.

Trust and limits

InstaSeer works from what a public Facebook page actually shows in the feed. It does not log into Facebook, and it does not access Meta Business Suite analytics, ad account performance, or Page Insights — those stay private to the page's own admins. A report window can only include posts that are visible to a public viewer at the time of the pull, and how far back that window reaches varies by page. That's why the source link on each row matters: it lets the team confirm exactly which post a number came from rather than trusting a summary alone.