SpyFu vs SwipeHarbor in 2026: Google search competitor intelligence vs evidence-led NewsBreak, Rumble, and YouTube ad research

SpyFu is a Google-search intelligence product for teams that want to understand a competitor’s SEO and PPC choices over time. Its central use case is entering a domain and seeing organic and paid keyword activity, overlap and gaps, estimated traffic signals, ranking history, and historical PPC ads. That makes it a useful planning tool before a search campaign or content programme begins. It is not an ad library built for browsing NewsBreak, Rumble, YouTube, Meta, or TikTok creative.

The product also offers its own rank tracker, backlink analysis, and branded client reporting. Pro + AI and Team/Agency update ranks as frequently as every 15 minutes, offer API access, and support white-label reports. Pro + AI includes a ChatGPT integration that surfaces recommendations alongside the underlying data. The reviewed profile notes that SpyFu does not match a full enterprise suite for technical audits and does not track AI-model visibility, but its search-focused scope keeps the workflow clear for PPC and SEO teams.

Basic is $39 monthly for one user and weekly rank updates. Pro + AI costs $119 monthly for one user, API access, white-label reports, 15-minute updates, and AI-powered recommendations. Team/Agency is $249 monthly for five users. That pricing makes SpyFu compelling when the real decision concerns Google queries, rankings, and historic PPC direction. A marketer who needs observed creative and landing-page evidence on NewsBreak or Rumble will need SwipeHarbor instead.

SwipeHarbor is a focused paid-ad research library for NewsBreak, Rumble, and YouTube. It keeps captured observations rather than claiming a complete platform inventory. A record can include creative, first-seen and last-seen dates, times seen, device context, available landing-page evidence, and a Rumble transcript when ready. Search supports keyword, advertiser, domain, format, date, final-page address, sightings, and observed days. It is useful for reconstructing the message and destination trail behind a visible ad, not for reading a competitor’s private campaign account.

Collections and notes distinguish it from an isolated search result. Paid members can save examples into private collections, preserve the context that made each one useful, and then turn the evidence into an original brief. MCP access is included for verified paid members, with read-only search_ads, get_ad_evidence, get_funnel, and compare_ads operations. The product also offers free browser tools for campaign briefs, UTM links, ad-cost calculations, and break-even ROAS, but those tools do not fetch advertising data or manage campaigns.

There is one Pro membership: $79.99 monthly or $749 billed upfront annually. Both options include the three-network library, available ad history and landing pages, collections, notes, and 2,000 MCP requests plus 10,000 data units per UTC month. The narrow coverage is intentional. Meta and TikTok are coming soon, Taboola is on the roadmap, and Google Search and Display are outside paid capture. It is worthwhile only for a team that repeatedly researches its current three networks and needs evidence, not modeled performance claims.