AI analysis
Turn Search Console data into your next SEO checks.
See what changed, why it deserves attention and what to verify next. Keep the evidence with every report.
Analyze my site Read-only Google connection · $9 / monthUse a suggestion only after separating fact, explanation and action
The AI analysis uses its saved search input. A separate audit or content review is additional evidence, not a capability silently added to the model input.
On a narrow screen, scroll the table sideways to read the verification column.
| What you observe | What to do | What to retain or verify |
|---|---|---|
| A report suggests rewriting a title | Check the cited query/page scope, current result and whether the new promise is answered in the body. | Save the old/new title and the supporting section; do not invent a year, ranking or benefit. |
| A report suspects a technical problem | Run the matching response, canonical or language check; use native Google tools for their own verdicts. | Record the observed failure separately from the AI hypothesis and create a candidate issue. |
Work through the distinction
Teaching example: “low CTR” is a ratio observation. “The title is weak” is a hypothesis. “Read the exact-query result and compare its promise with the page” is a check. Only the observation belongs in the facts column.
First, see what you'll get.
This is an interactive sample. Actual results come from sites you authorize.
Inputs define the boundaries
What did the AI see?
Search summaries for the selected site, plus limited page, query, and country details.
- Does not send Google tokens or account emails
- Does not read page content by default
- Does not include orders or actual conversions
What else do you need to check?
- Whether suggestions match actual page content
- Whether the data window and sample are sufficient
- Whether actions match business goals
WORKED EXAMPLE
A report you can act on.
Illustrative data, not a customer result. The report explains the evidence before suggesting a change.
Review the product guide before rewriting every title.
Clicks fell by 60 while impressions rose by 2,000. Start with the page that lost most clicks, then verify its queries in Search Console.
Open the full report: data, evidence and next steps
Scope: example.com · Web · United States · All devices · 2026-09-01–09-28 / 2026-08-04–08-31
| Metric | Previous | Current | Change |
|---|---|---|---|
| Clicks | 300 | 240 | −60 / −20% |
| Impressions | 10,000 | 12,000 | +2,000 / +20% |
| CTR | 3.0% | 2.0% | −1 percentage point |
1. Evidence: where to start
In the separate page report, /guides/choosing-a-desk/ went from 120 to 70 clicks: 50 of the 60 lost clicks in this example. That makes it a useful first check, not proof that its title is wrong.
2. Verification: connect the page to its queries
In Search Console, open Performance → Search results, keep the same dates and country, add an exact page filter, then open Queries. Compare the same query and device in both periods. AISEO Site’s separate page and query lists do not establish this relationship.
3. Action: change only what the evidence supports
If relevant queries and position are stable, inspect the actual search result and page. For a desk-size query, add a useful size comparison only if the page lacks one. A clearer title is worth testing only when the page can fulfill it.
4. Follow-up: record, then compare
Save the URL, query, filters and edit date. Recheck after enough complete data has accumulated using the same filters. Daily email delivery is a reminder to review evidence, not a reason to edit every day.
Limits: averages can hide query changes; small samples, data delay and seasonality can change the interpretation. This example does not establish a cause or predict traffic, sales or rankings.
Before using it, understand these details.
How it works, data boundaries, and applicable conditions.
What problem does this page solve
When you can see the data but don't know what to verify first, let AI organize the selected scope into limited checking suggestions. AI here refers to the analysis method, not Google AI search visibility, AI citation monitoring, or GEO tracking.
How outputs are traceable
The analysis cites controlled data entries; factual metrics are calculated by code, and input snapshots and versions are saved. Suggestions remain judgments to be verified, not detected technical faults; older records without snapshots are labeled separately.
Inputs come from the site you select
The server re-fetches data for the currently authorized property, including summaries and up to 30 page, query, and country records.
Outputs distinguish evidence from suggestions
First explain the data clues, then propose verifiable actions and note analysis boundaries. When page content and conversion data are missing, do not pretend a full-site audit was completed.
Understand data processing before running
After you click analyze, the search data summary is sent to a third-party AI service; Google tokens or account emails are not sent. You can run up to 10 AI analyses a day, the daily brief included, with a short wait between runs.
Prepare before running
First select a real property, date window, and country in the workspace, and check whether the data is valid. The goal is to narrow down one verifiable question, not to ask AI to complete a full-site diagnosis without knowing page content.
How to review a suggestion
Break the output into facts, interpretations, and actions. Facts should be findable in the input data; interpretations are only one possibility; actions need applicable conditions and verification steps. When content, device, order, and other information are missing, conclusions should retain limitations.
Example output structure
Example structure: the fact is "a page had impressions in the selected window"; the interpretation to verify is "result presentation or task matching may affect clicks"; the action is "filter queries by page in native GSC, then review results and content." The example does not represent a diagnosis or growth prediction for any real site.
What it cannot do automatically
AI analysis uses its search input, not implicit knowledge of the page body. A separate bounded static-HTML audit can provide technical evidence. The system does not read orders, submit ordinary URLs for indexing, change client sites or publish automatically; verify any technical hypothesis independently.
Frequently asked questions
Can it guarantee suggestions are correct?
No. AI may make mistakes; before important changes, verify the actual pages, samples, and business goals.
Does it automatically submit to Google for indexing?
No. Read-only analysis does not have the ability to submit URLs or modify sites.
Continue to the next step.
Work through the underlying checks
Start with your own site.
Verify the data and analysis first, then decide your next step.