5 posts tagged with "Advertising"

TL;DR​

• ChatGPT Ads are sponsored chat_card units below ChatGPT answers, labeled "Sponsored" and visually separate from the model's reply. They reach Free and Go users in supported regions; Plus, Pro, Business, Enterprise, and Education do not see ads (OpenAI Help Center). OpenAI expanded self-serve beyond the US test to the UK, Mexico, Brazil, Japan, and South Korea on August 11, 2026 (Testing ads in ChatGPT).
• Early public data (third-party, US-heavy, July 2026): SE Ranking sampled 50,006 commercial prompts and saw ads on ~26%; their own spend test reported ~97k impressions, ~1,263 clicks, and ~1.3% CTR with weak downstream sign-ups. Sensor Tower estimates put active advertisers at ~300 in April → 820+ in July. Treat as directional — not industry benchmarks.
• Targeting is conversational, not keyword-based: you write context hints on ad groups describing the chats where your offer fits. There is no keyword volume or pre-flight CPC forecast; you plan with budgets and post-delivery insights instead.
• Account setup runs through Ads Manager Beta — business onboarding, Persona verification, billing, manual review, then Settings → API Keys for MCP. Campaigns won't deliver until account info (name + logo) and review finish (Account Setup help).
• The OpenAI Ads MCP server on MCPBundles wraps the API for Claude, Cursor, and other agents: account overview, context-hint and copy audits, paused campaigns, geo lookup, creative upload, conversion setup, and delivery reads from chat.

You're evaluating a channel that barely existed in paid media a year ago. ChatGPT Ads started as a US test in early 2026 and is still rolling out market by market.

Northbridge Legal runs Google Search for intake keywords and wants a second line on ChatGPT without another console tab for every standup. Their marketer's first question isn't "where's the button?" — it's whether yesterday's test bought anything worth keeping, and whether the account is still stuck in review.

Worth knowing what you're buying before you touch budget. Also worth knowing what you're not buying (keyword volume, chat transcripts, pre-flight CPC quotes).

TL;DR​

• Spotify Ads on MCPBundles now resolves ad accounts by brand name, remembers your pick for the thread, and exposes read paths for pulse, approvals, and exports without a separate “find the UUID” step.
• You can name campaigns, ad sets, and ads in chat, pull last week’s metrics for one campaign, and draft a paused ad set (UK geo, daily budget, delivery off) before anything goes live.
• Planning defaults stay conservative: paused campaigns, delivery off on new ad sets and ads until you mean to launch.
• I wrote this for podcast and brand teams who already buy on Spotify and hate opening Ads Manager for a five-minute standup answer.

Three Spotify brands, one login, standup in ten minutes. “Anything stuck in approval?” shouldn’t cost you four clicks and a prayer you didn’t pause the wrong row.

TL;DR​

Most PPC work is still agency-side — the 2025 State of PPC survey had 1,152 respondents and 72% of them run client campaigns; more than half said the job got harder in the last two years. Switching and admin eat the week (MarTech puts paid media managers at 5–9 hours of admin; Practiq models 7–10 hours lost to context-switching on a dozen small retainers). On MCPBundles you name the client in chat, confirm when two names collide, then ask for spend or search terms without opening the whole manager account tree first.

Picture Monday standup. Four brands need a quick read and you're still in the account picker for the second one while the first client's pacing question goes stale. Chat only works when the opening line sounds like your job — "How did Riverside Dental spend last week?" — not "Here are eighty accounts, pick one."

Most performance-marketing work in Google Ads is repetitive cognitive labour. Pull a search-term report, find the queries that wasted spend last week, write the negative-keyword list. Look at device performance, find that mobile CPC is up 40% with the same conversion rate, draft a bid adjustment. Spin up a campaign for next week's promo: budget, ad group, 15 keywords, an RSA with 11 headlines and 4 descriptions, all in PAUSED so nothing goes live by accident.

Each of those is a 20-minute task in the Google Ads UI and a 30-second task as a chat message — if your AI agent can actually call the Google Ads API. This guide is the use-case version of "AI + Google Ads": what you ask, what the agent does, what comes back. The protocol underneath is MCP (Model Context Protocol), the bundle is /skills/google-ads on MCPBundles, but the framing here is workflow-first.

Every other LinkedIn MCP server on GitHub is either a scraper that violates LinkedIn's Terms of Service or a thin wrapper around unofficial endpoints that can break at any time. Some use Patchright (a Playwright fork) to automate the browser. Others reverse-engineer private APIs. LinkedIn actively blocks these — and your account is at risk if you use them.

MCPBundles ships two LinkedIn MCP servers that work the way LinkedIn allows you to work:

• LinkedIn — built on LinkedIn's official REST API with OAuth 2.0. Manages company pages, publishes posts with images and carousels, engages with comments and reactions, runs ad campaigns, and tracks analytics.
• LinkedIn Sales Navigator — drives Sales Navigator search, profile lookups, InMail, and inbox as your connected LinkedIn account. Sign in once on a hosted page (no cookies, no extensions, no scraping); the bundle then runs SN-grade prospecting and outreach with built-in per-account rate caps so a careless agent can't get the seat banned.

You can connect either or both. The pages are the canonical product surfaces — keep this article open if you want the comparison; jump to the skill page when you're ready to use one.