TikTok Creative Center API: what actually exists in 2026
There is no public TikTok Creative Center API. Here is what the official Commercial Content API returns, what broke in October 2026, and what to use instead.
adextract blog
Ad intelligence for AI agents
Competitive ad research, MCP tips, and deep dives for AI-powered workflows.
Native ads spy tool: what you can actually see in 2026
Native ad spy tools are crawler-fed databases, not public archives. Here is what a native ad record actually holds, what the tools cost in 2026, and how to test one in twenty minutes.
Ad spy tools: what they actually return, and what they cannot
Ad spy tools return creative, copy, landing pages and run dates. They cannot return ROAS. Here is what each data source really covers in 2026, what a tool costs, and how to test one in ten minutes.
AdWords competitor keyword tools: what each one actually returns
Most AdWords competitor keyword tools resell the same estimates. Compare what each route actually returns, what it costs in 2026, and how to test one before you pay.
How to build a Claude agent for competitor ad research
Wire an ad library MCP server into Claude and your agent can search live competitor ads across Meta, Google, TikTok and LinkedIn. Here is the setup, the prompts that work, and an honest verdict.
AI advertising tools: which layer does your account need?
AI advertising tools split into four layers: platform-native AI, creative generation, autonomous optimization and ad intelligence. Score your account, then buy where the bottleneck is.
How to write a competitor ad strategy analysis report
A competitor ad strategy analysis report turns public ad data into a dated deliverable. Learn the six sections it needs, how to grade each finding, and the checklist to run before it reaches a client.
AdPlexity alternatives: how to choose in 2026
Compare AdPlexity alternatives by traffic type, price, and data access. A buyer's guide for performance teams that run ad research with AI agents.
How to estimate competitor ad budget from public ad data
Estimate a competitor's monthly ad budget from public ad-library data. A four-layer formula, CPM bands by platform, and the honest error bar on every input.
X (Twitter) Ads API MCP server: what it can and can't do
X's official Ads API MCP server gives agents 23 tools to read and run campaigns. Here's what it covers, how to connect it, and the gap it can't close.
The Google Ads Transparency Center API: what actually exists
There is no official Google Ads Transparency Center API. Here is what the center exposes, why the Google Ads API cannot see rivals, and the workarounds ranked.
MCP server for competitor analysis: what an agent can really see
An MCP server for competitor analysis gives your agent live rival ad data instead of a dashboard. What each public ad library exposes, what no source can show you, and which archetype to buy.
AdSpy alternatives: four routes, and which buyer each one fits
AdSpy fits one buyer: an affiliate or dropshipper researching Meta ads weekly. Here are the four alternatives, what each costs per seat, and which one fits a brand team, an agency or an agent.
Best MCP servers for marketing: how to pick the right ones in 2026
A function-by-function guide to the best MCP servers for marketing in 2026, with the demand data, the read-only vs read-write tradeoff, and the order to connect them in.
Real time competitor ad alerts: build vs buy in 2026
Real time competitor ad alerts depend on your polling interval, not on the platform. Compare Meta, TikTok and Google latency before you build or buy, and know what the pipeline costs to keep alive.
Meta Ad Library API free vs paid: what the free tier really costs
Free vs paid Meta Ad Library API: what each tier returns, what scraping costs to maintain after Meta v. Bright Data, and when to pay for coverage.
How to evaluate an ad fraud verification vendor in 2026
How to evaluate an ad fraud verification vendor in 2026: score the coverage, accuracy, pricing and data access, then check the red flags that disqualify a bid.
How AI agents find your competitor's best performing ads
Learn how AI agents scan ad libraries, track bid patterns, and surface competitor creative intelligence in real time. A practical guide for performance marketers and agencies.
How to hire your first performance marketer as a founder
A practical guide for founders on when to hire a performance marketer, what to look for, how to interview, and common mistakes that cost you months and budget.
Meta ads library competitive analysis guide
Learn how to use the Meta Ad Library for competitive ad research. Step-by-step guide covering filters, analysis methods, limitations, and AI tools that fill the gaps.
TikTok Ads API for AI agents: how to connect and automate campaigns
Connect AI agents to the TikTok Ads API with MCP servers: campaign creation, creative management, and reporting. A practical guide for performance marketers.
How to detect competitor Google Ads budget changes
Learn to spot competitor Google Ads budget shifts using impression share signals, auction insights, and free tools. Catch spending changes before they impact your campaigns.
How to benchmark ad creative performance in 2026
Learn how to benchmark ad creative performance across Meta, TikTok, and YouTube. Real 2026 benchmarks for hook rate, hold rate, CTR, and ROAS for marketers.
How MCP servers connect AI agents to ad platforms for real-time intelligence
MCP servers connect AI agents to ad platforms like Google Ads and Meta for real-time competitive intelligence. Learn how they work and how to set up your own.
What is ad fraud detection in paid media (and how to spot it)
Learn what ad fraud detection is, how it catches invalid traffic in paid media, and which tools performance marketers use to protect ad spend in 2026.
How to find which keywords your competitors are bidding on in Google Ads
Learn how to find which keywords competitors are bidding on in Google Ads using free tools like Auction Insights and the Ads Transparency Center, plus platforms like SpyFu and SEMrush.
How to build a competitive ad intelligence dashboard for clients
Build a competitive ad intelligence dashboard clients actually read, from the four tiles that matter to the delivery checklist agencies skip. 2026 guide.
Competitor ad spend tracking: a practical guide for performance marketers
Which tools actually reveal competitor ad spend data, how to read the estimates, and what to do with the insights. A practical guide for performance marketers.
Ad intelligence API vs Meta Ad Library API: which should you build on
Ad intelligence API vs Meta Ad Library API compared: coverage, fields, rate limits, and cost, plus which one to wire into your competitor research stack.
ChatGPT ad analysis plugin: what to install and how to connect it
ChatGPT plugins returned in 2026 as apps and MCP connectors. Here is how to add an ad analysis connector, which ones exist, and what the ad data can and cannot tell you.
How to analyze competitor ad performance without expensive tools
Use free tools like Meta Ad Library, Google Ads Transparency Center, and TikTok Creative Center to analyze competitor ad performance. No subscriptions needed.
LinkedIn ads competitor analysis for B2B marketers
Learn to research competitor LinkedIn ads with the free Ad Library, decode creative signals, and build a monthly monitoring cadence that actually works.
How to automate Meta Ads Library scraping in 2026
Automate Meta Ads Library scraping with the official API, reliable scrapers, and AI analysis. Learn the rate limits, data gaps, and legal guardrails in 2026.
How agencies extract leads from the Meta Ads Library
Agencies use the Meta Ads Library to find active advertisers and turn them into qualified leads. September update on AI-assisted extraction pipelines.
We ran Liquid Death's ad library through an MCP. Their brand voice barely shows up
We pulled Liquid Death's live Meta ad data via adextract's MCP. 87% of ads route to Amazon, 97% share one CTA, 93% use zero custom creative.
Pinterest Ads API MCP server: how to connect AI agents to your ad account
Connect AI agents to your Pinterest ad account with the Pinterest Ads API MCP server. See what it exposes and what you can automate across all platforms.
Ads MCP server: campaign management vs ad intelligence explained
Most "ads mcp server" results are campaign-management tools that need your ad account credentials, not read-only ad-intelligence tools. Here's how to tell them apart.
Amazon ads API MCP server: what it does and what it can't see
Amazon Ads shipped an MCP server for AI agents in 2026. Here's what it automates, where its data ends, and why competitor intelligence is a separate layer.
YouTube ads API MCP server: what exists, what doesn't, and why
Google splits YouTube ad data across five APIs, none labeled "ads." Here is what a YouTube ads API MCP server needs to bridge for an AI agent.
Snapchat Ads API MCP server: how to connect AI agents to your ad account
Connect Snapchat Ads API to an MCP server for Claude, ChatGPT, or Gemini. Learn setup, per-agent authorization, and what Snap's AI tools can do in 2026.
Reddit ads API MCP server: what exists and what an agent can do
Reddit opened its Ads API to all developers and now lets third parties manage Max campaigns. Here is what a Reddit ads API MCP server can and can't do for AI agents today.
How to track competitor ad spend automatically in 2026
Learn how to track competitor ad spend automatically with public ad APIs, estimation math, alert rules, and AI agents. Build a pipeline that keeps you ahead.
How to automate competitor ad research in 2026
Automate competitor ad research with ad libraries, APIs, and AI agents. Build a four-layer system that delivers weekly competitor intel without the manual grind.
How to build an ad intelligence system as a solo founder
Learn how solo founders can build an ad intelligence system with free tools, a three-tier competitor framework, and 30-minute daily workflows that actually work.
Founder's guide to competitive ad monitoring on a budget
Learn how to track competitor ads across Meta, Google, and TikTok without overspending. A practical guide for solo founders and small teams on a budget.
What performance marketers get wrong about competitive ad analysis
Performance marketers make 5 critical mistakes in competitive ad analysis. Learn what they are and how to fix them with AI-powered ad intelligence tools.
Founder's guide to ad intelligence: what to track in your first 90 days
Learn what competitive ad intelligence to track in your first 90 days as a founder. A 30/60/90 framework to make every ad dollar count without guesswork.
How to build a multi-agent ad intelligence workflow
Learn how to build a multi-agent ad intelligence workflow that monitors competitors, tracks creative changes, and surfaces insights across ad platforms.
PPC competitor analysis: a framework for performance marketers
A repeatable PPC competitor analysis framework for marketers who want to stop guessing and beat competitors. Covers competitor ID, keyword mapping, ad copy, and landing page benchmarks.
How to build a paid ad experimentation framework as a solo founder
Learn how to build a structured paid ad testing system as a solo founder. Stop burning cash on guesswork and run experiments that tell you if your idea works.
Inside adextract: how our AI agents scan millions of ads across platforms
See how adextract's AI agents search Google, Meta, TikTok, and LinkedIn ad libraries. A close look at the competitive ad intelligence platform.
How to set up conversion tracking for your ads as a solo founder
Set up Google Ads and Meta conversion tracking as a solo founder. Step by step guide for GTM, pixel installation, CAPI, and fixing silent tracking failures.
Best ad intelligence workflows for small agency teams
A practical ad intelligence workflow for agencies with 2 to 10 clients. Covers competitor discovery, creative analysis, brief writing, and tools for lean teams.
Competitor ad monitoring tool: what to look for in 2026
A buyer's guide to competitor ad monitoring tools: what they track, how to evaluate them, and how to set up monitoring that saves hours every week.
Best ad intelligence tools for agencies in 2026
Compare the best ad intelligence tools for agencies in 2026 across free archives, scraper SaaS, and API platforms. Build the right stack for your clients.
Ad monitoring metrics and KPIs that actually matter for performance marketing
Which ad monitoring metrics actually drive revenue decisions? A practical breakdown of the 5 KPIs that matter most for performance marketing teams in 2026.
How to use the Meta Ads Library API for AI agents
Connect AI agents to the Meta Ads Library API for programmatic competitor ad research. Setup guide, MCP server options, query parameters, and coverage limits.
How to analyze competitor YouTube ads in 2026
Learn how to find and analyze competitor YouTube ads with free tools and paid ad intelligence platforms. A practical guide for performance marketers in 2026.
How to spot ad creative fatigue before it tanks your ROAS
Learn the 5 early warning signs of ad creative fatigue on Meta, Google, and TikTok. Catch decay days before ROAS tanks with a composite fatigue score.