Data to AI™ / ChatGPT/Similarweb
Check how campaigns and launches moved your traffic against the market in ChatGPT, approving each lookup so the team knows exactly which Similarweb data shaped the answer.
Better answers, fewer tokens.
ChatGPT
How did our traffic and engagement compare with our two closest competitors last month?
Last month ourshop.com had 1.42M visits, behind rivalstore.com at 2.05M but ahead of shopnext.com. Our Bounce Rate was the lowest of the three.
| Domain | Visits | Bounce Rate | Pages per Visit |
|---|---|---|---|
| rivalstore.com Monthly Visit Data | 2,050,000 | 48.1% | 5.2 |
| ourshop.com Monthly Visit Data | 1,420,000 | 41.7% | 5.9 |
| shopnext.com Monthly Visit Data | 980,000 | 52.3% | 4.4 |
Monthly Visit Data has one row per Country, so Visits are summed across countries while Bounce Rate and Pages per Visit are weighted by Visits.
Similarweb estimates website traffic and engagement for your own domain and for competitors. Dataddo extracts visits, bounce rate, pages per visit, visit duration, country split and traffic sources per domain, so marketing can compare sites in plain language.
Compare daily Visits for our Domain in the two weeks before and after 14 September, and show Paid Visits by Source Type on desktop for the same days.
The performance marketer approves each query, then posts a before-and-after view in the campaign channel instead of waiting for the monthly report to confirm the lift.
For each tracked Domain, what share of desktop traffic came as Organic Visits versus Paid Visits last month, by Source Type?
The SEO lead shows where competitors buy their traffic and where they earn it, which shapes the next quarter's split between content and paid search.
Run data_status on the Similarweb flows, then show weekly Bounce Rate and Pages Per Visit for our Domain since the redesign went live.
The web team sees whether the new layout kept visitors longer, knowing from data_status how fresh the figures are before they report back.
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 | |
|---|---|---|---|
| Channel breakdown | The analyst screenshots the traffic sources view for every domain and asks ChatGPT to read numbers from images. | Traffic Sources Overview - Desktop and Mobile Web hold Source Type with Organic Visits, Paid Visits or Visits, so ChatGPT queries real values. | Channel mix from data, not images |
| Knowing what was used | After a file upload, nobody can tell which rows or date range produced the summary in the chat. | ChatGPT asks you to confirm each tool call, so you see every Similarweb lookup before results appear. | Every lookup approved |
| Questions the data cannot answer | The model guesses at numbers for a country or device you never extracted. | ChatGPT can call known_gaps, which lists what the connected data cannot answer, for example a country you did not filter for. | Fewer invented figures |
| Token consumption | ChatGPT spends tokens exploring raw Similarweb 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 Similarweb 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
|
|---|---|---|
| Visits - all traffic |
|
Which Domain gained the most Visits week over week across the sites we track? |
| Monthly Visit Data |
|
In which countries does a competitor Domain have a better Rank than ours? |
| Average visit duration - all traffic |
|
On which Date did Average Visit Duration fall below its two-month average? |
| Bounce rate - all traffic |
|
How did weekly Bounce Rate change after our homepage redesign Date? |
| Pages per visit - all traffic |
|
Did Pages Per Visit on our Domain drop in the weeks after a navigation change? |
| Traffic Sources Overview - Desktop |
|
How do Paid Visits by Source Type compare between our Domain and a competitor? |
| Traffic Sources Overview - Mobile Web |
|
How did mobile web Visits from search as a Source Type change week by week? |
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 →Add a Similarweb source in Dataddo with your API key, a domain and datasets such as Traffic Sources Overview - Desktop, then attach the flow to a ChatGPT destination or AI Model. In ChatGPT on the web, turn on Developer mode, create a Dataddo Data Access app with https://headless.dataddo.com/mcp-data and OAuth, and sign in.
Developer mode is needed, on the web only, and it is available on Pro, Plus, Business, Enterprise and Education. On Business and Enterprise, a workspace admin may need to allow developer mode first.
Yes. ChatGPT asks you to confirm each tool call. In the app settings you can also turn individual Dataddo tools on or off, for example to leave refresh disabled.
Yes, if both datasets are extracted. Traffic Sources Overview - Desktop splits Organic Visits and Paid Visits by Source Type, while Traffic Sources Overview - Mobile Web gives Visits by Source Type.
No. Similarweb returns estimated traffic for a domain, and Dataddo passes those estimates through unchanged. Treat them as benchmarks for comparing sites rather than as your own analytics.
Yes. Datasets such as Visits - all traffic and Bounce rate - all traffic offer Daily or Weekly granularity when you create the source. Monthly Visit Data is monthly only.
No. ChatGPT reads extracted data through the semantic layer by entity and field name. Dataddo never accepts SQL from the model, and nothing is written back to Similarweb.
