Data to AI™ / Copilot/Facebook Organic
Let your social and community team ask a Teams agent about Facebook Page reach, post engagement, comments and reviews, without exporting insights from every page.
Less tokens, better answers.
Microsoft 365 Copilot
How much of our Facebook Page media views were organic in September?
Organic media views held steady at 177k to 195k a week. Paid views jumped in the week of 8 Sep, when posts were boosted, so that spike is not organic growth.
| Week | Page Media View (Organic) | Page Media View (Paid) |
|---|---|---|
| 1-7 Sep Page Daily Media Views by Ad Status | 182,400 | 96,300 |
| 8-14 Sep Page Daily Media Views by Ad Status | 176,900 | 141,200 |
| 15-21 Sep Page Daily Media Views by Ad Status | 188,100 | 88,700 |
| 22-28 Sep Page Daily Media Views by Ad Status | 194,600 | 90,500 |
Organic and paid views are separate rows from Facebook's is_from_ads breakdown, added up by week.
Facebook Organic collects non-paid data from your own Facebook Pages: post and reel insights, page metrics, fans by market, comments, reviews, inbox metrics and lead form submissions.
@Community desk Summarise the main topics in yesterday's Post Comments and list the comments with the highest Like Count.
The community manager asks the agent in the Teams channel what people discussed overnight, then picks the threads that need a brand reply before the day gets busy.
@Community desk How did Page Reviews split by Recommendation type this month? Quote three typical negative Review text examples.
Customer care reads the negative reviews in Microsoft 365 Copilot and brings concrete quotes to the weekly product sync instead of a vague sense that complaints are up.
@Community desk List Lifetime Reach and Engagement per Page name for posts published last month, highest first.
With every brand Page in one source, the social lead gets a ranked table in a single answer and pastes it straight into the monthly report document.
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| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Getting Page data into Teams | Someone exports insights from each Facebook Page and shares spreadsheets in the channel before every review. | The Copilot Studio agent reads posts, comments and reviews from the scheduled Facebook Organic flow whenever someone mentions it. | No per-Page exports |
| Comments and reviews as text | Comment and review text is read in the Facebook interface one post at a time, so patterns stay anecdotal. | Post Comments and Page Reviews arrive with Message, Review text and Recommendation type, so the agent can summarise them across all posts. | Patterns, not anecdotes |
| Several brand Pages | Each Page is reported separately, and comparing them means merging files by hand. | Multi-account extraction, enabled by the Dataddo Solutions team, pulls the same datasets from every Page you can access into one source. | Every Page in one answer |
| Who sees what | Exports land in shared folders with no record of who opened them or which version is current. | The agent reaches only flows attached to an AI destination or AI Model in the signed-in Dataddo account, so you choose which Page data it serves. | Scoped access per team |
| Token consumption | Copilot spends tokens exploring raw Facebook Organic 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. | Less 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 Facebook Organic datasets marketing teams use most, with their real field names. Copilot queries them by name through the Dataddo semantic layer.
List of curated datasets
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
Runs on your schedule. Datasets with a date range, such as fans and daily insights, re-read a relative window that moves forward on every run, with up to 2 years of history through a full data re-sync. Lifetime and metadata datasets pull all currently available data.
Facebook Organic connector →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 →Connect your Facebook Pages in Dataddo with a Facebook Organic source, for example Posts Lifetime Insights by Post and Post Comments, and attach it to a Copilot destination or AI Model. In Copilot Studio, add https://headless.dataddo.com/mcp-data as an MCP tool with OAuth 2.0 and publish the agent to Teams and Microsoft 365 Copilot.
Sync your Facebook Pages with a Dataddo Facebook Organic source, attach it to a Copilot destination or AI Model, then add Dataddo Data Access as an MCP tool on a Copilot Studio agent and publish it.
No. The agent only reads Facebook data that Dataddo has already extracted. Replies and posts stay in Facebook, while the agent helps you decide which comments need attention.
Yes, if you extract Page Daily Media Views by Ad Status, which splits page media views into organic and paid rows. Point the agent to it when boosted posts are in the mix.
Yes, through the Leads datasets. Turn on Hash Sensitive Fields for columns such as Email and Phone Number, so the agent can count leads per form without seeing personal data.
The same Dataddo server works in VS Code. Add it to .vscode/mcp.json, start it, sign in and use Copilot Chat in Agent mode. On Business and Enterprise, an admin enables the MCP servers in Copilot policy first.
Up to 2 years, the Facebook API limit. A new source starts with its current date range, so load older months once with a full data re-sync.