Data to AI™ / ChatGPT/Instagram
Find out which Instagram content sends people to your profile and which markets you actually reach, in a ChatGPT chat that queries your synced insights.
Better answers, fewer tokens.
ChatGPT
Which content format reached the most accounts per post last month?
Reels reached about 2.4x more accounts per post than single images and drew most of the shares. Carousels sat in between on both.
| Format | Posts | Avg Reach | Avg Shares |
|---|---|---|---|
| Reels Reel Lifetime Insights | 14 | 18,240 | 412 |
| Carousels Carousel Post Lifetime Insights | 9 | 9,860 | 133 |
| Images Post Lifetime Insights (Image) | 11 | 7,450 | 61 |
Reach is averaged per post from lifetime insights, not added up across posts or days.
Instagram Organic extracts non-paid insights from Instagram Business accounts: posts, stories, reels, audience demographics and engagement.
In Post Lifetime Profile Activity by Type, which posts drove the most profile actions last month, and which Action Type was most common?
You approve each Dataddo call in the chat, then brief the content team on the posts that turn casual viewers into people who open your profile.
Compare the top 10 countries in Business Reached Audience Demo Country with Business Follower Demo Country. Where does reach miss our followers?
Marketing sees whether content lands in the markets the brand sells in, or mostly reaches countries where it has no customers and no plans to expand.
Call data_status first. Then split last month's Value in Business Media Product Type by Media Product Type.
Before the monthly social review, ChatGPT confirms the flow is up to date and breaks results down by format, so the meeting starts from complete numbers.
Data to AI™ is priced per seat, like the AI assistants your team already uses, with ~25% off on annual billing. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
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| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Demographic snapshots | Audience screenshots carry no date, so a chat compares last spring's country split with this month's posts. | Demographic datasets such as Business Reached Audience Demo Country have no date range; each run stores current values with a Timeframe field ChatGPT can cite. | Dated audience answers |
| Adding up reach | A pasted table of daily Reach invites ChatGPT to sum days into a weekly total that overstates unique accounts. | Daily reach stays daily, and a separate source and flow with a weekly or monthly breakdown gives totals ChatGPT can quote. | Reach totals that match |
| Approving each lookup | An uploaded insights file gives the chat every column at once, with no say over what gets read. | Developer mode shows each tool call for confirmation, and you can turn off Dataddo tools you do not want ChatGPT to use. | You stay in control |
| Token consumption | ChatGPT spends tokens exploring raw Instagram columns, sampling rows and retrying until it understands the data. | Field definitions and relations are supplied up front, so the model skips the exploration and goes straight to the answer. | Fewer tokens per answer |
| Answer quality | Prone to wrong joins, invented fields and numbers that are hard to check. | Answers grounded in defined fields. In the Dataddo benchmark, 78.5% of questions were answered correctly, against 65.5% with plain CSV files. | Better answers |
The Instagram datasets marketing teams use most, with their real field names. ChatGPT queries them by name through the Dataddo semantic layer.
| Dataset | Metrics and attributes |
Ask ChatGPT
|
|---|---|---|
| Business Interactions |
|
Which type of engagement grew most last month: Likes, Comments, Saves or Shares? |
| Reel Lifetime Insights |
|
Which reels got high Views but a low Shares Count compared to our other reels? |
| Story Lifetime Insights |
|
Which stories brought in Follows, and how did their Reach compare to the rest? |
| Business Follows Unfollows |
|
Which Period Start dates had more unfollows than follows on our Instagram account? |
| Online Followers |
|
During which hours do Online Followers drop below half of the daily peak? |
| Business Follower Demo Country / Age / Gender |
|
What is the Gender split of our Instagram follower base? |
| Carousel Post Lifetime Insights |
|
Which carousel posts reached many accounts but earned few Total Interactions? |
We asked 43 pre-registered questions of three real datasets - Google Search Console, HubSpot deals and Google Ads - and delivered the same rows to the same model in four ways. Only the data layer changed.
of questions answered correctly - the best of the four delivery methods tested
fewer confidently wrong answers - 14.0% of runs against 24.0% and 26.3%
more correct answers on messy CRM data - better on 8 questions, worse on none
Same model, prompts and rows in every condition; 759 graded runs, ground truth frozen before any run. On Google Search Console alone, documented CSV files did as well as Data to AI™ - the advantage comes from messier data such as HubSpot deals.
Read the benchmark →Sync Instagram Organic datasets such as Post Lifetime Profile Activity by Type, Business Reached Audience Demo Country and Business Media Product Type with Dataddo, and attach them to a ChatGPT destination or AI Model. In ChatGPT, enable developer mode and create the Dataddo Data Access app with https://headless.dataddo.com/mcp-data using OAuth.
Any plan with developer mode: Pro, Plus, Business, Enterprise or Education, used on the web. On Business and Enterprise a workspace admin may have to allow developer mode first.
ChatGPT confirms each tool call in developer mode, so you see which Instagram dataset it wants before anything runs. You can also turn off Dataddo tools in the app settings.
An upload is frozen at export time. With Dataddo, the Instagram source refreshes on its schedule and ChatGPT asks the semantic layer for fields by name, with descriptions for each.
Reach counts unique accounts per day, so summing days overstates it. For weekly or monthly reach, extract that breakdown in a separate source and flow and ask ChatGPT about it.
Demographic datasets such as Business Reached Audience Demo Country have no date range. Each run pulls the currently available values with a Timeframe field, so ask ChatGPT about that Timeframe.
Instagram Organic reads Instagram Business accounts, so connect the business account your brand posts from. ChatGPT then sees the datasets you extracted from it.
It covers Instagram Insights from a Business account: posts, reels, stories and audience. Instagram ad results come from the Facebook Ads connector, where Publisher Platform tells Instagram placements apart from Facebook ones, and can be added to the same ChatGPT app.
