Data to AI™ / ChatGPT/Google Search Console
Ask ChatGPT where organic search traffic moved, and check data freshness and known gaps before you share an SEO number with the team.
Less tokens, better answers.
ChatGPT
Which blog pages lost the most clicks in September compared with August?
The CRM guide lost 1,240 clicks, down 37%, the largest drop, and now averages Position 7.8. The other two pages fell 21% and 12%.
| URL | Clicks (Sep) | Clicks (Aug) | Position (Sep) |
|---|---|---|---|
| /blog/crm-guide Daily Metrics by Page | 2,140 | 3,380 | 7.8 |
| /blog/pricing-models Daily Metrics by Page | 1,620 | 2,050 | 5.2 |
| /blog/api-basics Daily Metrics by Page | 980 | 1,110 | 6.4 |
Page rows are sampled by Google, so pages are compared with each other and not added up into a site total.
Google Search Console shows how a site performs in Google search: Clicks, Impressions, CTR and average Position by date, query, page, country and device, for the properties your account can access.
Organic clicks fell last week. Break the drop down by Country, Device and Query using Daily Metrics by Country, Device and Query.
You confirm each tool call ChatGPT makes, so the investigation stays traceable step by step before you report the cause to the rest of the marketing team.
Split Daily Metrics by Query into queries containing our brand name and all others, and trend Clicks for each group monthly.
The monthly marketing update gets a clean brand and non-brand trend that the SEO lead can paste straight from the chat, without building a spreadsheet filter first.
Which countries in Daily Metrics by Country and Query show rising Impressions but CTR below the site average this quarter?
The regional team uses the answer to decide which markets get localized landing pages first, based on demand that already exists in Google search.
Data to AI™ is free while in private pre-release. We onboard teams in waves and shape the product with their feedback. At launch, it will be priced like the AI assistants your team already uses. Need tailored contracts or volume pricing? Talk to us about Enterprise.
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| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Totals from sampled data | Summing exported query rows gives totals below the Search Console UI, and the chat repeats that number as fact. | With Daily Metrics and the query datasets both in the flow, ChatGPT takes totals from date, country and device data and uses queries for detail. | Totals that match the UI |
| Several properties | Each property is exported on its own, so a portfolio question means merging several files before the chat starts. | Multi-account extraction collects the same dataset from every property you can access, and Sites Metadata lists each Site URL. | All properties in one chat |
| Reviewing each lookup | An uploaded file gives no record of which rows or dates the answer actually used. | ChatGPT asks you to confirm every Dataddo tool call, and you can switch individual tools off in the app settings. | Traceable answers |
| Freshness | Nobody can tell whether the uploaded export already includes last week's processed days. | ChatGPT can call data_status to say when the Search Console flow last ran before quoting any number. | Known data age |
| Token consumption | ChatGPT spends tokens exploring raw Google Search Console 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 Google Search Console datasets marketing teams use most, with their real field names. ChatGPT 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 the schedule you set over a relative date window. Google needs 24 to 72 hours to process data, so use a range of 4 days ago or older; the API returns up to 16 months of history.
Google Search Console 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 →Create a Google Search Console source in Dataddo with datasets such as Daily Metrics and Daily Metrics by Query, and attach it to a ChatGPT destination or AI Model. In ChatGPT, switch on developer mode, create a Dataddo Data Access app with https://headless.dataddo.com/mcp-data and OAuth, and sign in.
Pro, Plus, Business, Enterprise and Education, because it relies on developer mode, which runs on the web only. A Business or Enterprise admin may need to allow developer mode.
No. Query and page dimensions are sampled, so per-query numbers match Search Console but their sum does not. For totals, ask ChatGPT to use Daily Metrics or the country and device datasets.
No. Google needs 24 to 72 hours to process Search Console data, so the source reads a window of 4 days ago or older. data_status shows how current the flow is.
Yes. ChatGPT asks you to confirm every tool call, and in the app settings you can also switch off individual Dataddo tools, such as refresh.
It covers the properties you extract. Sites Metadata lists each Site URL and Permission Level, and multi-account extraction collects the same dataset from every property you can access.
At most 16 months, which is what the Google Search Console API allows. Anything older cannot be extracted.