ChatGPT answers, unedited

If you want to monitor competitors’ influencer campaigns, sponsored posts, branded content, and native ads, you usually need a combination of influencer intelligence + ad intelligence tools. No single platform has perfect coverage because influencer sponsorships often sit outside traditional ad libraries.

Here are the main options:

For your specific use case (“competitors’ influencer and branded content ads”), I’d shortlist:

1. Yoloco — if your priority is who the creators are, what posts they made, and competitor influencer strategy. yoloco.io
2. CollabFeed — if you mainly need paid partnership post discovery. collabfeed.io
3. MediaRadar — if you need an enterprise-wide view combining influencer + paid media intelligence. www.mediaradar.com
4. Add OpenAdLibrary or similar native-ad trackers if “native ads” means publisher-style advertorials (Taboola/Outbrain-type placements). openadlibrary.com

A common stack for a brand intelligence team is:

• Influencer layer: Yoloco / CollabFeed
• Paid social layer: Meta Ad Library + TikTok Creative Center + an aggregator
• Native/display layer: OpenAdLibrary / MediaRadar
• Reporting layer: export into BI or a competitive intelligence dashboard

If you tell me your industry (e.g., beauty, CPG, SaaS, fashion, gaming) and the platforms you care about (TikTok vs Instagram vs YouTube vs publishers), I can narrow this to the best-fit vendors.

If you need both influencer/branded content and native ads, I’d separate the market into two categories because most ad-intelligence platforms are strong at one but weak at the other.

Best fits for your use case

• ravineo.com — probably the closest fit for influencer + sponsored-content intelligence. It specifically detects sponsored posts, paid partnerships, boosted/dark-boosted creator content, visual/audio brand mentions, and competitor cross-boosting. Ravineo
• yoloco.io — strong for influencer advertising across Instagram, TikTok and YouTube. It tracks sponsored videos, Reels collaborations, branded content and even undeclared placements using signals such as promo codes and brand keywords. Yoloco
• openadlibrary.com — best fit for native advertising. It indexes native ads from Taboola, Outbrain, MGID, RevContent, MSN and others, with competitor tracking, longevity and landing-page/funnel data. OpenAdLibrary
• native.adplexity.com — another established option for native-ad competitive intelligence, focused on discovering and analyzing competitor ads across multiple native networks. AdPlexity Native
• adeye.ai — useful if you also want conventional paid social/video intelligence. It aggregates Meta, Google, TikTok and YouTube public ad-library data and provides competitor monitoring/alerts, but it's not primarily an influencer-monitoring product. AdEye AdEye

What I'd shortlist

The important distinction: Meta's Ad Library and similar tools primarily expose platform-recognized ads. They don't necessarily catch an influencer publishing a sponsored Reel/video that looks like organic content, or a brand paying to boost a creator's post. That's exactly where Ravineo/Yoloco are more interesting. Ravineo Yoloco

If your goal is ongoing competitor monitoring rather than one-off research, I'd evaluate Ravineo + OpenAdLibrary first. That combination covers the two blind spots you're describing: creator/influencer sponsorships + native publisher ads.

If your goal is specifically competitor influencer + branded-content + native-ad monitoring, I’d separate the market into two categories:

For your exact requirement, I'd look hardest at Yoloco

Yoloco explicitly positions its product around finding competitor influencer ads, including sponsored YouTube videos, Instagram Reels collaborations, paid Telegram content, and both declared and undeclared influencer advertising. It says it tracks YouTube, Instagram, TikTok, Telegram and VK. Yoloco

yoloco.io

For native advertising—Taboola, Outbrain, MGID, etc.—OpenAdLibrary is much closer to what you want. It says it tracks 1M+ native creatives across 50 networks and refreshes hourly. OpenAdLibrary

openadlibrary.com

And Adbeat is another established option for competitive display/native intelligence, including native networks, video and publisher-level analysis. Adbeat

adbeat.com

If you want one platform rather than a stack

I'd investigate AdLibrary.com as the broadest starting point. It aggregates ads across Meta, Google, TikTok, YouTube, LinkedIn, X, Pinterest, etc., and offers an API. adlibrary.com adlibrary.com

adlibrary.com

But: there's an important distinction between platform-published paid ads and influencer sponsorship detection. A conventional ad library can miss an influencer who posts a sponsored Reel/video organically rather than serving it as a formal platform ad. Yoloco specifically claims coverage of that influencer-driven layer. Yoloco

My recommendation:

• Influencer/branded content → Yoloco
• Native/programmatic → Adbeat or OpenAdLibrary
• Broad cross-platform paid ads → AdLibrary.com
• If you're building a serious competitive intelligence feed, combine influencer monitoring with ad-library/native monitoring rather than expecting one database to capture everything.

If you tell me which channels matter most (Instagram/TikTok/YouTube + Taboola/Outbrain, etc.) and roughly how many competitors, I can narrow this down to the 2–3 strongest platforms and compare coverage, alerts, API access, and pricing.

yoloco.io

For native advertising—Taboola, Outbrain, MGID, etc.—OpenAdLibrary is much closer to what you want. It says it tracks 1M+ native creatives across 50 networks and refreshes hourly. OpenAdLibrary

openadlibrary.com

And Adbeat is another established option for competitive display/native intelligence, including native networks, video and publisher-level analysis. Adbeat

adbeat.com

If you want one platform rather than a stack

I'd investigate AdLibrary.com as the broadest starting point. It aggregates ads across Meta, Google, TikTok, YouTube, LinkedIn, X, Pinterest, etc., and offers an API. adlibrary.com adlibrary.com

adlibrary.com

But: there's an important distinction between platform-published paid ads and influencer sponsorship detection. A conventional ad library can miss an influencer who posts a sponsored Reel/video organically rather than serving it as a formal platform ad. Yoloco specifically claims coverage of that influencer-driven layer.

Yes — but there’s an important distinction between paid ads, creator/influencer sponsorships, and native advertising. No single platform captures all three perfectly.

Best options for your use case

Meta is particularly useful because its Ads Library has a branded-content search capability that can identify campaigns connecting brands and influencers/creators. www.socialmediatoday.com

For the influencer side, Yoloco is closer to what you're describing: it tracks sponsored influencer activity across Instagram, TikTok, YouTube and other creator channels, including declared and some undeclared sponsorships. yoloco.io

For native ads, OpenAdLibrary is much more specialized. It currently says it tracks 1M+ native creatives across 50 ad networks, including Taboola, Outbrain, MGID and others, with landing-page/funnel information. openadlibrary.com

What I'd use for competitor monitoring

If your goal is "show me everything competitors are doing with influencers + branded content + native ads", I'd build the stack as:

Yoloco → influencer/sponsored-post monitoring
Meta Ad Library + TikTok Creative Center → paid social/creator ads
OpenAdLibrary → native/programmatic sponsored content

Then put the outputs into a single competitor dashboard so you can answer things like:

• Which influencers are competitors paying?
• Which creators are being reused across campaigns?
• What sponsored-post formats/hooks are appearing?
• Which branded-content campaigns are active?
• Which native publishers/networks are competitors buying?
• What landing pages/offers are attached?
• When did a competitor launch or stop a campaign?

There are also cross-platform tools such as Rival Ads that automatically archive competitor creatives across Meta, Google, TikTok and LinkedIn, which can reduce the manual monitoring burden. www.rivalads.io

If influencer + branded content is the priority, I'd look at Yoloco first. If native ads are equally important, pair it with OpenAdLibrary.

If your goal is specifically competitor influencer + branded-content + native/sponsored ads, I’d separate the market into two categories:

My take

For influencer/branded content monitoring: Meltwater is one of the better fits. Its influencer product can identify influencers who have collaborated with a particular competitor, filter content by sponsorship, and monitor competitor/influencer activity. www.meltwater.comwww.rivalsweeper.comwww.makometrics.com

Meltwater

For actual competitor ad creatives and native paid ads: RivalSweeper is more purpose-built. It monitors competitor ads in Meta and TikTok ad libraries, detects new creatives/A-B tests, and tracks copy changes. www.rivalsweeper.com

RivalSweeper

For Meta-heavy teams: Mako Metrics is another specialized option that organizes a competitor's live Meta Ad Library ads and lets you analyze creatives, messaging, formats, and run duration. www.makometrics.com

Mako Metrics

The important distinction

If by “sponsored posts” you mean creator posts saying #ad, paid partnership, sponsored by X, etc., I'd prioritize Meltwater/influencer intelligence.

If you mean ads actually served through Meta/TikTok's advertising systems, I'd prioritize RivalSweeper/Mako + the native ad libraries.

If you tell me which competitors and channels you care about (Instagram, TikTok, YouTube, LinkedIn, publishers/native, etc.), I can narrow this to the 2–3 platforms that will actually capture the content you need, including which ones capture creator whitelisting/Spark Ads and branded-content posts.

If you want to monitor competitors’ influencer partnerships, sponsored posts, branded content, and native creator ads, you generally need an influencer intelligence / ad intelligence platform rather than a traditional social listening tool. The best fit depends on whether you care more about creators, paid ads, or both.

A typical competitive monitoring stack looks like:

• Influencer partnerships / sponsored posts: CreatorDen, Storyclash, Yoloco, Modash
• Paid social ads (Meta/TikTok/LinkedIn style): MediaRadar plus native ad libraries
• Full market view (earned + paid + creator): MediaRadar + an influencer intelligence platform

A few considerations:

• If you specifically need Instagram branded content tags and creator collaborations, start with CreatorDen or Storyclash. www.storyclash.comcreatorden.com
• If you need to uncover sponsored content that is not clearly labeled (affiliate links, promo codes, brand mentions), look at platforms that use commercial-signal detection rather than only official ad libraries. Yoloco and Modash emphasize these approaches. www.modash.ioyoloco.io
• If your goal is competitive media spend and creative tracking across channels, MediaRadar is closer to an ad intelligence tool. www.modash.iowww.mediaradar.comyoloco.io

If you share the channels you care about (Instagram/TikTok/YouTube/LinkedIn), industry, and whether you need historical backfill vs. real-time alerts, I can narrow this to the strongest 2–3 options.

Yes. If your goal is competitor intelligence specifically around influencer/creator content + sponsored/native ads, I’d separate the options into platform-native libraries and third-party monitoring platforms.

Best options

For Instagram/Facebook: Meta's Ad Library is the authoritative starting point. It contains active ads across Meta, and Meta specifically says partnership ads (formerly branded-content ads) are listed there. www.facebook.com

For TikTok: TikTok Creative Center's Top Ads gives you searchable, high-performing ads by brand/product, region, industry, objective, format, etc. ads.us.tiktok.com TikTok also distinguishes Spark Ads (native ads using organic/creator posts) from branded content, which is important if you're trying to capture influencer campaigns rather than conventional media buys. getstarted.tiktok.com

If you want an actual monitoring system

I'd look hardest at Brandsearch for the use case you described. It advertises automated monitoring across Meta, Instagram and TikTok, with new creatives indexed daily/within hours, rather than requiring someone to repeatedly search the native libraries. brandsearch.co

Adyntel is another option if your emphasis is building a historical competitor-ad database and tracking changes in messaging, creative formats, promotions, and spend strategy; it covers Meta, Google and LinkedIn. www.adyntel.com

One important caveat: no single platform reliably captures every influencer post. Organic sponsored content, partnership posts, boosted creator posts, Spark Ads, and conventional paid ads are different data sets. TikTok, for example, requires creators to use its commercial-content disclosure for branded promotions, but that doesn't mean every commercial-looking organic post becomes discoverable in an ad library. ads.us.tiktok.com

If you tell me your industry and which competitors/platforms you need to monitor (Instagram, TikTok, YouTube, Facebook, etc.), I can narrow this down to the 3–5 platforms that actually fit and compare coverage, historical data, alerts, pricing, and API access.

If your goal is competitor monitoring of influencer + branded/native advertising, I’d separate the market into a few categories:

For your specific use case

If influencer/sponsored posts are the priority: Sprout Social is worth looking at. Its influencer reporting explicitly supports competitive tracking of both sponsored posts and organic creator activity, including which creators competitors are activating. sproutsocial.com

If Instagram/Facebook branded content is the priority: Meta's own Ads Library is particularly relevant. Meta added a dedicated branded-content search capability that lets you investigate campaigns involving influencers/creators using Meta's branded-content tags. www.socialmediatoday.com

If TikTok is important: TikTok's current Content Suite is unusually well suited to this. It searches TikTok's organic videos for brand-relevant content using captions, hashtags, speech, and on-screen text, and can distinguish branded content that is eligible to become Spark Ads. ads.us.tiktok.com TikTok also requires commercial-content disclosure for branded posts, making disclosed influencer activity easier to identify. ads.us.tiktok.com

If you primarily want an automated competitor-ad database: Adyntel is one option; it currently covers Meta, Google, and LinkedIn and is designed around pulling competitor ad libraries and tracking changes over time. www.adyntel.com

The important distinction

There isn't really one perfect platform that captures every sponsored influencer post + every native ad across every social network. I'd build the stack around what you mean by "native":

• Creator-sponsored social posts → Sprout / Meta branded-content data / TikTok Content Suite
• Paid social ads → Meta Ads Library + TikTok Creative Center + other ad libraries
• Native publisher ads (e.g. sponsored articles, branded editorial, advertorials) → you need a different dataset; social ad libraries won't capture these reliably.
• Continuous competitor monitoring + alerts + historical archive → use a third-party intelligence/monitoring layer rather than relying on the native libraries alone.

If you tell me which competitors and channels you care about (Instagram, TikTok, YouTube, LinkedIn, publisher sites, etc.), I can narrow this to the 3–5 platforms that actually cover your requirements, including which ones capture influencer posts vs. paid amplification vs. native publisher ads.

If your goal is specifically competitor influencer + branded-content monitoring, rather than just conventional paid-ad spying, I’d separate the market into two categories:

The closest match to what you're describing

Yoloco is particularly relevant. It explicitly tracks competitor sponsored posts, creators and campaign metrics, including Instagram Reels/collabs, TikTok branded content and sponsored YouTube content. It also attempts to detect undeclared sponsorships using brand keywords and promo-code signals. yoloco.io

Yoloco competitor ad analysis

For a broader creative + creator + competitor intelligence layer, Spyglass looks interesting: it indexes brands, creators, organic content and ads across Meta/Instagram/TikTok and lets you analyze creator partnerships alongside conventional advertising. spyglass.so

Spyglass

If "native ads" means paid social ads

Then I'd look at AdEye or Brandsearch. AdEye aggregates Meta, Google, TikTok and YouTube public ad libraries into one feed and adds creative/strategy tagging and alerts. adeye.ai Brandsearch is particularly DTC-oriented and monitors Meta, Instagram and TikTok ads with daily updates. brandsearch.co

One important distinction

The Meta Ad Library itself can expose branded-content campaigns, but it isn't a complete influencer-monitoring solution. Meta added a branded-content search capability specifically for finding campaigns involving creators, but its coverage is constrained to what is disclosed through Meta's systems. www.socialmediatoday.com

So if your requirement is:

"Show me every time Competitor X works with an influencer, whether it's explicitly labeled sponsored/branded content or appears to be native creator advertising, and let me monitor it over time."

I'd shortlist Yoloco, Spyglass, and Sentia rather than traditional ad-spy tools.

If you tell me which channels matter most (Instagram/TikTok/YouTube/etc.) and whether you need historical data, alerts, spend estimates, or API access, I can narrow this to the 2–3 strongest options.

Yes — but no single platform is perfect across influencer-sponsored posts + native ads + paid social. The best fit depends on how broad you need the monitoring to be.

If your requirement is specifically “show me what competitors are doing with influencers and branded/native content”

I'd shortlist:

1. HypeAuditor — probably the strongest starting point for influencer competitive intelligence. It can identify competitor-sponsored content, the influencers they use, creatives, audience targeting and performance signals. hypeauditor.com

2. Modash — particularly interesting if you want a structured database/API rather than just a dashboard. Its Collaborations API identifies sponsored content and maps brand ↔ creator relationships across Instagram, TikTok and YouTube. www.modash.io

3. Yoloco — worth evaluating if you specifically want to capture influencer-driven advertising, including sponsored YouTube videos, Instagram Reels collaborations and TikTok content. It explicitly positions itself as covering declared and undeclared influencer advertising. yoloco.io

4. Contalto — better if by “branded content” you mean publisher/editorial native content rather than creator posts. It tracks branded-content articles, videos and other formats across hundreds of premium publishers. www.contalto.com

5. OpenAdLibrary — strong complement for the actual native-ad network side: Taboola, Outbrain, MGID, RevContent, Yahoo, Criteo, etc. It provides searchable competitor/advertiser libraries and landing-page trails. www.modash.ioopenadlibrary.comadeye.ai

My recommendation

If you're building a competitor intelligence stack, I'd use two layers:

Influencer layer: HypeAuditor or Modash
→ competitor → creator → sponsored post → creative → engagement → audience → historical relationship

Native/branded-content layer: Contalto + OpenAdLibrary
→ competitor → publisher → sponsored article/video → native creative → landing page → network

Then optionally add AdEye for conventional paid social/search/video so you have Meta + TikTok + Google/YouTube in the same monitoring workflow. adeye.ai

If you tell me which industry and which channels matter most (Instagram/TikTok/YouTube vs. Taboola/Outbrain/publisher sites), I can narrow this to the 3 platforms I'd actually buy, including approximate pricing and coverage gaps.

Yes. If your goal is ongoing competitor monitoring—not just manually browsing ad libraries—I’d separate the market into two needs:

For your specific requirement

If by “influencer and branded content ads” you mean “show me the actual creator posts competitors are paying for, including native-looking influencer posts, not just conventional display/social ads”, I'd shortlist Yoloco and Sprout Social.

Yoloco is particularly aligned with this use case: it says it tracks influencer-driven advertising across YouTube, Instagram, TikTok, Telegram and VK, including both declared and undeclared sponsorships. yoloco.io

Sprout Social's Influencer Marketing Reports is more of a broader influencer intelligence platform. It explicitly supports tracking competitor–creator partnerships across sponsored and organic content, which is useful if you want to understand who competitors are activating, not merely collect ads. sproutsocial.com

For the paid-media side, Meta Ad Library is essential because Meta provides a dedicated branded-content search capability for campaigns using its branded-content tags. www.socialmediatoday.com

And for TikTok, the native ecosystem is unusually useful: TikTok's Content Suite searches organic videos for brand-relevant content using captions, hashtags, voiceover and on-screen text, then identifies creator/branded content that can be authorized as Spark Ads. sproutsocial.comads.us.tiktok.com TikTok also requires commercial-content disclosure for promotional posts, giving you an additional signal for identifying sponsored content. ads.us.tiktok.com

My recommendation

If you're building a competitive intelligence stack, I'd consider:

Best influencer-first: Yoloco
Best broader social/influencer intelligence: Sprout Social
Best paid social coverage: Meta Ad Library + TikTok Creative Center
Best cross-platform ad-intelligence workflow: AdEye / Adyntel

The important distinction is that no single ad library perfectly captures all influencer sponsorships. Meta/TikTok's libraries are excellent for declared/authorized advertising, while influencer-intelligence platforms can be better at finding the creator relationship and organic-looking sponsored post that may not appear as a conventional ad.

If you tell me which competitors/channels you need to monitor (e.g. Instagram + TikTok + YouTube) and whether you need historical archives, alerts, estimated spend, creator identification, or creative downloads, I can narrow this to the 2–3 platforms I'd actually buy.

If your goal is competitor monitoring specifically for influencer-sponsored posts + native/branded ads, I’d separate the market into two categories:

My pick: MediaRadar

MediaRadar is probably the closest fit if you want one competitive-intelligence platform rather than manually checking individual social networks. It says it monitors competitor advertising across social, display, search, programmatic, video and influencer, with daily-refreshed creative and placement data. www.mediaradar.com

If influencer content is the priority: InfluenceKit

InfluenceKit launched a Competitive Intelligence product that specifically identifies which influencers competitors are working with, including sponsored content and brand mentions, and provides reach, engagement and mention-frequency data. help.influencekit.com

Important distinction: TikTok

TikTok is unusually useful here because its Commercial Content Library includes both:

• paid ads, including ads that are no longer active; and
• disclosed commercial content that TikTok isn't paid to distribute—i.e. creator posts promoting a brand/product/service.

You can search by advertiser, creator, brand, etc. www.mediaradar.comhelp.influencekit.comsupport.tiktok.com

That makes TikTok's library particularly relevant if by "sponsored posts" you mean creator-native content that isn't necessarily an ad buy.

Meta is less comprehensive for this use case: its Ad Library covers active ads, while branded-content posts use separate Paid Partnership disclosures and aren't equivalent to conventional ads. www.facebook.com

Bottom line:

• One platform for broad competitor ad + influencer monitoring → MediaRadar
• Deep competitor influencer/sponsored-post intelligence → InfluenceKit
• TikTok-specific native/branded content → TikTok Commercial Content Library
• Meta paid ads → Meta Ad Library

If you're evaluating vendors for a marketing/competitive-intelligence stack, I can also compare MediaRadar vs. Influencity vs. CreatorIQ vs. Brandwatch vs. Meltwater vs. Similarweb specifically on whether they actually capture sponsored/native influencer ads, rather than just social mentions.

Yes. If your goal is specifically competitor influencer + branded/native content monitoring, I’d separate the market into two categories:

A key distinction: “sponsored influencer content” isn't always captured by conventional ad-spy tools. If an influencer publishes a paid partnership post that isn't subsequently used as an ad, you want a platform that monitors organic social content and branded-content disclosures, not just ad libraries.

For example, Syntheo explicitly combines competitor ad-library intelligence with mentions/posts, while LinkedIn's own Thought Leader Ads are a good example of native sponsored content where a person's post is promoted by a brand. trysyntheo.com

My shortlist

1. Syntheo — probably closest to your use case
It combines competitor ads with social mentions/posts and can alert you when a competitor launches an ad or a post takes off. trysyntheo.com

2. Adsmom — best if you want a broader intelligence layer
It aggregates large volumes of ads across Meta, TikTok, Google and LinkedIn and adds creative, reach, estimated-spend and change tracking. adsmom.com

3. Rival Ads — best for creative-level competitive analysis
It archives actual creatives, copy, landing pages and video transcripts, which is useful for dissecting competitor UGC/influencer-style ads. www.rivalads.io

4. AdClarity — best for enterprise/media intelligence
If you're looking beyond social into broader digital advertising and media-spend intelligence, it's the more enterprise-oriented option. adclarity.com

One important caveat: no platform will reliably capture every influencer sponsorship across every network. Public ad libraries are strongest for paid media, while influencer intelligence requires monitoring the underlying social posts, creator accounts, sponsorship disclosures, and sometimes affiliate/creator activity.

If you tell me which competitors/channels you care about (Instagram, TikTok, YouTube, LinkedIn, etc.), I can narrow this to the 3 platforms that actually capture sponsored influencer posts—not just conventional ads.

Yes. If your goal is competitor influencer + branded-content + native/sponsored-ad monitoring, I’d separate the market into two categories:

The closest matches to what you're describing

1. Meta Ad Library — best for influencer/branded content on Instagram/Facebook

Meta's library includes a dedicated Branded Content area where you can search by business or creator and see paid-partnership content. That's particularly useful if you want to answer “Which influencers are my competitors paying?” rather than merely “What ads are they running?” www.jonloomer.com

2. TikTok Content Suite — probably the strongest fit for creator/Spark Ad monitoring

TikTok's current Content Suite searches TikTok's organic videos for brand-relevant creator content using captions, hashtags, speech and on-screen text, and can identify content that is potentially usable as Spark Ads. TikTok also explicitly categorizes Spark Ads as a native ad format and branded content as creator promotion of a third-party brand. ads.us.tiktok.com

So if your competitors are heavy on TikTok creators, UGC, Spark Ads, and paid partnerships, I'd put this high on the list.

3. Adbeat — better for the “native ads” part

Adbeat is designed around competitive advertising intelligence and covers native, display, video, interstitial and other formats, with publisher, creative and landing-page intelligence. www.adbeat.com

4. OpenAdLibrary — specifically worth looking at for native networks

OpenAdLibrary says it catalogs ads across native/display networks including Taboola, Outbrain, MGID, RevContent, Yahoo, Criteo and others, and lets you search by network, publisher, country and category. openadlibrary.com

If you need one monitoring system

I'd look for a platform that combines:

• Meta Ad Library → Instagram/Facebook ads + branded content
• TikTok → creator posts + Spark Ads + branded content
• Google Ads Transparency Center → Google/YouTube
• Native networks → Taboola, Outbrain, MGID, etc.
• Influencer discovery → creator ↔ brand relationships
• Historical capture → not just what's live today
• Alerts → new competitor creative, new influencer, new campaign
• Creative OCR/transcription → catches brand mentions inside video
• Ad longevity → tells you which creative competitors keep running

That last point is important: “captures sponsored posts” and “captures ads” are not necessarily the same capability. For competitive intelligence, you want the platform to retain the post/ad historically rather than simply expose the platform's current library.

If you tell me which category/competitors and which channels (Instagram, TikTok, YouTube, native, etc.), I can narrow this down to the 3–5 actual vendors worth evaluating, including which ones have the deepest influencer/branded-content coverage.