Home > Destinations > ChatGPT > Google Search Console

Connect Google Search Console to ChatGPT

Connect Google Search Console to ChatGPT and ask about any metrics or dimensions using current integrations data. No CSV exports or manual campaign summaries.

Looker Studio
Power BI
Google Sheets
BigQuery
Snowflake

Trusted by marketing teams that talk to data everyday

How to connect Google Search Console to ChatGPT ?

Three steps to your first source-aware prompt.

Step one

Authorize the Google Search Console account in Catchr

Select Google Search Console, sign in, and choose the client or business accounts you want to connect.

Client A · Connected sources
5 sources ready
Meta Ads 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Add the Catchr MCP from official ChatGPT store

Configure the Catchr remote MCP connection in ChatGPT using the connector details from Catchr.

Step three

Choose, adapt, and run a prompt.

Replace account, period, KPI target, and threshold variables before you ask ChatGPT.

A simple client question should not trigger an hour of data prep.

“Why did CPA rise?” sounds simple. The answer is usually buried across exports, formulas, filters, and tabs before the analysis can even start.

Pull another CSV

Choose the right account, date range, breakdowns, and fields. Then wait for the file and do it again when the question changes.

Rebuild the context

Rename columns, fix formats, join tabs, and check formulas before you can trust the comparison.

Summarize it by hand

Turn the numbers into a client-ready answer, then repeat the whole process for the inevitable follow-up.

Ask the account. Get to the explanation.

Catchr MCP gives ChatGPT access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.

The hard way

Prepare data before every question.

  • Export files from the marketing platform
  • Reformat and reconcile columns
  • Rebuild the analysis for each follow-up
The Catchr way

Connect once. Keep asking.

  • Select the right accounts and data
  • Ask in the language your team already uses
  • Investigate with follow-up questions

Twelve Google Search Console prompts for analyzing real account data.

Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into ChatGPT. Every prompt asks for evidence, limits, and a concrete output.

Agency promptCopy prompt
Multi-Client SEO Morning Triage
Using the Catchr MCP, pull Google Search Console data for [List of Client Properties] over [Recent Period] and compare it with [Baseline Period]. For each Site Url, review Clicks, Impressions, CTR, Position, Top Position, Sitemap Errors, Sitemap Warnings, Sitemap Is Pending, and Sitemap Last Downloaded. Label every client Healthy, Watch, or Critical against [Client Targets or Historical Baseline], rank the accounts the consultant should inspect first, and provide one evidence-based diagnosis and one immediate next action for each flagged property.
Client Organic Visibility Brief
Using the Catchr MCP, analyze Google Search Console performance for [Client Property] over [Reporting Period] versus [Comparison Period]. Break down Clicks, Impressions, CTR, Position, and Top Position by Search Query and Full URL, then use Country, Device, Search Type, and Search Appearance to explain the most important gains and losses. Produce a client-ready brief with an executive summary, five quantified insights, the pages or queries responsible for each change, and three prioritized SEO actions for [Next Period].
Portfolio Sitemap Incident Watchlist
Using the Catchr MCP, inspect Google Search Console sitemap data across [List of Client Properties] for [Period]. Review Sitemap Url, Sitemap Type, Sitemap Is Pending, Sitemap Is Sitemaps Index, Sitemap Errors, Sitemap Warnings, Sitemap Last Submitted, and Sitemap Last Downloaded. Flag unprocessed, stale, or error-prone sitemaps, rank incidents by likely discovery risk and urgency, and return a consultant-ready watchlist containing the client, affected sitemap, confirmed evidence, validation step, recommended owner, and client communication note. Treat these as sitemap processing signals, not proof of individual URL index status.
Daily Client SEO Priority Queue
Using the Catchr MCP, pull Google Search Console data for [List of Client Properties] over [Recent Period] and compare it with [Baseline Period]. For each Site Url, check Clicks, Impressions, CTR, Position, Sitemap Errors, Sitemap Warnings, Sitemap Is Pending, and Sitemap Last Downloaded. Rank the clients I should work on today by the severity and breadth of confirmed changes, summarize the issue in one plain-English sentence, identify the leading Search Query or Full URL contributors where available, and give one task that fits [Available Time Today].
Monthly SEO Client Report
Using the Catchr MCP, analyze Google Search Console data for [Client Property] for [Reporting Month] and [Previous Month]. Summarize Clicks, Impressions, CTR, Position, and Top Position, then break down the biggest gains and declines by Search Query, Full URL, Country, and Device. Add a sitemap health section using Sitemap Errors, Sitemap Warnings, Sitemap Is Pending, and Sitemap Last Downloaded. Write a concise client-ready report in plain English with quantified wins, risks, limitations, work completed or recommended, and three priorities for [Next Month].
Quick-Win Query and Page Backlog
Using the Catchr MCP, pull Google Search Console data for [Client Property] over [Period] by Search Query and Full URL. Find queries with at least [Minimum Impressions] that rank within [Opportunity Position Range], pages with CTR below [CTR Threshold] at a competitive Position, and query-page pairs that improved or declined versus [Comparison Period]. Use # Words In Search Query, Device, and Search Appearance for context, then create a prioritized backlog with the opportunity, supporting metrics, proposed page-level action, estimated effort, success threshold, and review date.
Product and Category SEO Opportunity Finder
Using the Catchr MCP, pull Google Search Console data for [Store Property] over [Period] and compare it with [Comparison Period], filtering Full URL or Path with [Product and Category URL Patterns]. By Search Query and Full URL, report Clicks, Impressions, CTR, Position, and Top Position. Identify high-impression pages with weak CTR, queries ranking in [Opportunity Position Range], and product or category pages losing visibility; rank the opportunities by potential qualified organic traffic and recommend a specific title, snippet, content, or internal-linking test for each one.
Store Sitemap Launch Readiness Check
Using the Catchr MCP, audit sitemap readiness for [Store Property] during [Launch Window], focusing on [Product, Category, or Locale Sitemap URLs]. Review Sitemap Url, Sitemap Type, Sitemap Is Pending, Sitemap Is Sitemaps Index, Sitemap Errors, Sitemap Warnings, Sitemap Last Submitted, and Sitemap Last Downloaded. Flag new or updated sitemaps that remain pending, contain errors, carry rising warnings, or have not been downloaded since submission, then produce a prioritized launch checklist with the confirmed issue, affected sitemap, owner, remediation, and verification step. Do not claim that individual products are indexed because URL-level index coverage is not available in these fields.
Organic Shopping Demand by Market and Device
Using the Catchr MCP, analyze Google Search Console data for [Store Property] over [Period] versus [Comparison Period]. Segment Search Query and Full URL performance by Country, Device, Search Type, and Search Appearance, and compare Clicks, Impressions, CTR, Position, and # Words In Search Query. Identify markets, devices, product themes, and long-tail searches gaining demand or losing click capture; then recommend three localized merchandising or SEO priorities, each backed by the affected queries, pages, and measured opportunity.
Search Console Data Quality Audit
Using the Catchr MCP, audit Google Search Console data for [Property or All Connected Properties] over [Period] at the Site Url, Day, Search Query, Full URL, Country, Device, Search Type, and Search Appearance grains. Check for missing keys, duplicate grain combinations, negative Clicks or Impressions, Clicks greater than Impressions, CTR outside [Expected Range], invalid Position values, inconsistent Top Position buckets, and unexpected gaps by Extracted Date. Return an exception table with property, grain, failed rule, observed value, severity, affected rows, and reproducible validation step.
Organic Search Outlier Monitor
Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of Google Search Console data for [Property or All Connected Properties], grouped by Day and optionally Search Query or Full URL. Compare Clicks, Impressions, CTR, and Position with their trailing [Baseline Window, e.g., 28-day] mean and standard deviation, and flag deviations beyond [Z-score Threshold] when [Minimum Volume Threshold] is met. Identify the queries, pages, countries, or devices contributing most to each event and classify it as likely data-quality, demand, ranking, or click-through-rate change with supporting evidence and a recommended check.
Sitemap Pipeline Consistency Monitor
Using the Catchr MCP, reconcile Google Search Console sitemap signals for [Property or All Connected Properties] over [Period]. By Site Url and Sitemap Url, validate Sitemap Last Submitted and Sitemap Last Downloaded chronology, monitor Sitemap Is Pending, Sitemap Errors, Sitemap Warnings, Sitemap Type, and Sitemap Is Sitemaps Index, and detect duplicates, missing dates, stale downloads, persistent pending states, or abrupt count changes. Output a monitoring table with the failed rule, affected sitemap, first observed date, current evidence, severity, and next validation step, and explicitly separate sitemap processing health from individual URL index coverage.
Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Google Search Console to ChatGPT FAQs

Clear answers for marketers comparing connectors, data sources, reporting workflows, and dashboard setup.

What Google Search Console data can ChatGPT analyze through Catchr?

ChatGPT can query connected Google Search Console data for search demand, visibility, query, page, crawl, index, and site-performance reporting.

Representative measures include Clicks, Impressions, CTR, and Position. Useful breakdowns include Search Query, Full URL, Country, Device, and Search Type. The exact field set depends on the selected dataset and compatible reporting reporting level.

How granular can Google Search Console analysis be in ChatGPT?

The available detail depends on the fields returned for the selected dataset. Useful breakdowns include Search Query, Full URL, Country, Device, and Search Type.

Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.

Can ChatGPT find search and content opportunities in Google Search Console?

Yes. ChatGPT can surface queries, pages, topics, or regions with meaningful demand and room to improve. Relevant fields include Clicks, Impressions, CTR, and Position.

Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.

Can ChatGPT detect technical or visibility issues in Google Search Console?

Yes. ChatGPT can identify visibility, click-through, crawl, index, or page-performance changes that need investigation. Useful breakdowns include Search Query, Full URL, Country, Device, and Search Type.

Ask it to separate observed data, possible explanations, and the next validation step so an unusual value is not presented as a proven cause.

What types of prompts work best for Google Search Console analysis?

Strong prompts name the action, account or entity, date range, comparison, and KPI or threshold.

  • Monitor: “Organic Search Outlier Monitor”
  • Diagnose: “Search Console Data Quality Audit”
  • Find opportunities: “Product and Category SEO Opportunity Finder”
  • Report: “Monthly SEO Client Report”

Can I combine Google Search Console with other data sources in ChatGPT?

Yes, when the other sources are also connected to Catchr. Useful combinations include analytics, advertising, content, commerce, or CRM sources.

Align dates, currencies, identifiers, and definitions first. If the sources cannot be joined reliably, ask for a side-by-side comparison rather than a single attributed result.

Can I analyze multiple sites, properties, domains, or search terms together?

Yes, provided each one is connected and available through Catchr MCP. Ask for separate results first, then create the combined view.

Specify the site or property, country, device, search type, period, and comparison. This keeps one large entity or a definition mismatch from distorting the comparison.

What do I need to connect Google Search Console to ChatGPT with Catchr?

You need access that can authorize and view the relevant Google Search Console data, a Catchr workspace with the source connected, and Catchr MCP enabled in ChatGPT.

After selecting the required entities, you can ask questions in natural language without preparing a new CSV export for each analysis.

How recent is the Google Search Console data, and how much history can I analyze?

ChatGPT analyzes the records returned through the connected Catchr source; it should not assume the data is real time. Freshness and historical coverage can vary by dataset, field, selected period, and source API limits.

Ask it to state the latest query, page, crawl, performance, or extraction date, together with the timezone, requested period, and any missing intervals before interpreting a trend.

Can ChatGPT change anything in Google Search Console through Catchr?

No. Catchr MCP provides Google Search Console data for analysis; it does not give ChatGPT permission to change site content, indexing, technical configuration, or source settings.

Use the result to prepare an action plan, then make operational changes in Google Search Console. Review the supporting figures before acting on the recommendation.

How much does it cost to connect marketing data to ChatGPT with Catchr?

Catchr MCP is included in every standard plan—there is no separate fee for the ChatGPT integration. The Starter plan begins at $20 per month when billed annually, or $24 when billed monthly.

It includes 3 platforms, 10 accounts, unlimited users, and unlimited requests. Larger plans increase the number of platforms and accounts available. See Catchr pricing

‍Can I try the ChatGPT integration before choosing a plan?

Yes. Catchr offers a 14-day free trial with no credit card required.

You can use the trial to connect your marketing sources, authorize Catchr MCP in ChatGPT, and test questions using your own data before subscribing.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

Ask the account question before building another export.

Connect yout marketing platform to ChatGPT with Catchr MCP and start investigating current campaign performance.

14 days free-trial
No credit-card required
100+ sources