PLUGIN SETUP
Start using Meta Ads in ChatGPT
Connect Meta Ads to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Meta Ads to Adzviser
In Adzviser, sign in to Meta Ads and allow Adzviser to read its reporting data.
Install Adzviser in ChatGPT
Open Adzviser in ChatGPT's plugin directory, install it, and sign in to your Adzviser account when asked.
Open Adzviser in ChatGPT ↗Ask your first Meta Ads question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the ad account connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Meta Ads in ChatGPT: Meta's own AI connector vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Meta's own AI connector and Adzviser's read-only Meta Ads reporting connector in ChatGPT. Both options bring Meta Ads into ChatGPT, but they serve different jobs. Meta's own AI connector works with Meta Ads and can make supported campaign changes. Adzviser cannot change the account; it analyzes Meta Ads alongside your other marketing and revenue data.
Meta's own AI connector
Analyze and manage Meta Ads in ChatGPT
Follow Meta's setup to add its own AI connector to ChatGPT and authorize your Meta Ads account. Available tools may vary by Meta account.
Ask about performance or have ChatGPT create and manage supported campaigns, ad sets, ads, and catalogs.
Read and write: ChatGPT can create or change supported Meta campaigns, ad sets, ads, and catalog workflows.
Meta Ads only: campaign, ad-set, ad, account, and catalog data.
Best for: advertisers who want ChatGPT to analyze Meta Ads and make supported campaign changes.
Set up Meta's connectorAdzviser's read-only Meta Ads reporting connector
Analyze Meta Ads with your other marketing data in ChatGPT
Connect Meta Ads to Adzviser, then install Adzviser in ChatGPT and sign in. Adzviser only requests permission to read reporting data.
Ask about spend, conversions, ROAS, audiences, campaigns, ad sets, and creatives, then compare the results with your other connected data.
Read-only: ChatGPT can analyze Meta Ads but cannot create, edit, pause, or change campaigns, budgets, ad sets, or ads through Adzviser.
Compare Meta Ads with connected Google Ads, Google Analytics, Shopify, HubSpot, and other marketing and revenue data.
Best for: marketers and agencies that want read-only Meta Ads analysis beside other channel and revenue data.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Meta Ads data into clear next steps in ChatGPT
Start with the results, focus on the decision in front of you, and keep asking follow-up questions in the same conversation.
Review recent performance
Review recent campaign results and the metrics behind the headline. Ask for a compact table and make the reporting period clear.
See the “Weekly Campaign Performance Summary” promptFocus on a decision
Compare spend and results across campaigns to identify budget decisions that deserve closer review. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Budget Allocation Optimizer” promptAsk a follow-up
Compare recent results with the previous period and call out the largest changes. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “Week-over-Week Trend Detection” promptCHATGPT STARTERS
Start with a quick check, then analyze Meta Ads
First, confirm ChatGPT can access the right data. Then ask a detailed question and follow up on the recommendation that matters most.
List my connected Meta Ads accounts and show the Adzviser workspace for each. After I choose one, return "Conversion Rate Ranking" for the last 7 complete days.
Compare spend and results across campaigns to identify budget decisions that deserve closer review.
Analyze the Facebook Ads budget allocation for the workspace I choose during the last 30 complete days. For each campaign, show: Daily Budget, Actual Spend, Conversions, ROAS, and Budget Utilization %. Identify campaigns that are underspending with high ROAS (should get more budget) and campaigns that are overspending with low ROAS (should be reduced). Recommend a new budget distribution that maximizes overall ROAS while keeping total budget the same.
Keep the same data source and time period. Which recommendation should I prioritize, what results support it, and what should I review before acting on it?
