Your SEO monthly report is missing the metrics that matter in 2026. Here's what to track, a 5-section template, and how to report AI visibility.
Quick answer: A good SEO monthly report in 2026 has two halves. One shows traditional performance: rankings, organic traffic, CTR and conversions. The other shows AI visibility: how often ChatGPT, Gemini, Perplexity and Google's AI Overviews cite your brand, and whether those citations turn into visits. Most reports still only cover the first half.
If your monthly report still opens with keyword rankings and a traffic graph, it's describing a search landscape that no longer exists. It tells you what happened on the blue-link results page last month. It says nothing about whether AI assistants are recommending you right now, or which of them actually send you visitors.
The standard monthly SEO report is built on lagging indicators. Rankings, sessions and click-through rate describe what already happened, weeks after the decisions that caused them.
That gap matters more now because the results page itself has changed. Ahrefs re-ran its 300,000-keyword study with December 2025 data. It found that pages ranking first see a 58% lower average click-through rate when an AI Overview appears, up from the 34.5% drop in the first study. AI Overviews are also appearing on more queries every quarter.
So a report built only around rankings measures a shrinking share of what actually happens when someone searches. You still need rankings. You just can't stop there.
A modern SEO report keeps every traditional metric your stakeholders already trust. It then adds a parallel set of AI visibility metrics next to them. Neither set replaces the other.
These still tell you whether the core SEO engine is healthy, and leadership still budgets against them:
Organic traffic.
Keyword rankings and average position.
Organic CTR.
Conversions from organic sessions.
Backlink growth.
Don't cut them to make room for AI metrics.
Metric | What it measures | Why it matters |
AI Visibility Score | A 0–100 score for how often and how prominently AI assistants mention and cite your site | One trend line leadership can follow month to month |
Citations by engine | Citations split by ChatGPT, Gemini, Perplexity, Claude and others | Engines behave differently. Perplexity cites far more sources per answer than ChatGPT, so a blended number hides real gaps. |
Cited pages | Which of your URLs AI answers actually reference | Shows which content earns citations and which never does |
AI-referred sessions | Visits and conversions that arrive from AI assistants | Citations are the input. Visits are the output. Most tools only measure the first. |
Share of AI voice | Your mentions compared with competitors' across a fixed prompt set | Useful as a direction of travel, not a precise KPI |
How to make share of voice meaningful:
Use a fixed prompt set. Pick 30 to 100 prompts that mix branded, category and comparison queries, and keep the same set from month to month. Otherwise the trend line means nothing.
Don't trust a single precise-looking number. Search Engine Land has pointed out that many AI share-of-voice tools sample a small, arbitrary set of prompts and present the result as an exact score.
There's one more metric with no traditional equivalent: hallucinations, meaning times an AI model states something false or outdated about your pricing, features or company. If you track them, give them their own line in the report.
Structure the report so a busy executive gets the point on page one, and an SEO analyst can still dig into the numbers further down.
Section | What it answers | Who reads it |
1. Executive summary | The three numbers that matter this month | Leadership, in 30 seconds |
2. Rankings and traffic | Is core organic performance up or down, and why? | SEO team, marketing lead |
3. AI visibility | AI Visibility Score trend, citations by engine, AI-referred sessions | CMO, brand, product marketing |
4. Content health | Which pages are losing traffic, what was refreshed, how new pages performed | Content team |
5. Next month's priorities | What gets fixed first, and why | Everyone |
Keep the executive summary to three numbers: one traditional win, one AI visibility signal, and one risk that needs attention. Anything longer and leadership skims past it.
Give content health more space than most reports do. It's where you flag pages losing traffic slowly. That kind of decay drains sitewide performance for months before anyone notices.
End every section with an action, not just a chart. "Clicks dropped 12%" creates anxiety. "Clicks dropped 12% because two comparison pages lost their featured snippet; both are queued for a refresh" creates a plan.
You can build a workable version of this report in a spreadsheet, and plenty of teams do at small scale. Use five tabs that mirror the template:
Executive summary.
Rankings and traffic: pull these from Google Search Console and Google Analytics.
AI visibility: pull these from your citation tracking tool.
Content health: take this from a decay check you run regularly.
Priorities.
The limits show up fast. Pulling citation counts from four or five AI assistants by hand every month is slow, and it's the first tab people stop updating when things get busy. That's usually the moment the report quietly turns back into a rankings report.
A dashboard solves this by collecting everything continuously. It also gives you real-time SEO monitoring between reports, so a ranking drop or a lost citation doesn't sit unnoticed for three weeks.
Data with no point of view. A 40-tab spreadsheet with every available metric isn't a report, it's an export. Show the numbers that changed and say why.
No recommended action. Every section should end with what happens next, not just what happened.
Leaving out AI visibility. This is the most common mistake. Report AI numbers with context, too: a platform change, such as ChatGPT changing how it shows source links, can move citation counts overnight with nothing to do with your brand. A trend line with a note stops leadership from overreacting to noise.
Serpely is an agentic SEO platform that puts your search data and your AI visibility in the same place. It connects to Google Search Console and Google Analytics, then tracks how AI assistants mention and cite your site alongside your normal metrics. Most of this report already lives on one screen.
Command Center:
Your site health score and organic performance, with AI citations charted next to clicks, impressions, CTR and position.
An AI visibility card with citations broken down by engine.
"Pages worth watching", which flags every page as Urgent, At Risk or Healthy, with the reason. This covers your content health section.
AI traffic: Serpely connects citations to visits. It shows sessions arriving from each assistant and the conversions they drive. It also flags engines that cite you but send no traffic.
Page value: it surfaces "wasted rankings", pages that rank but don't earn clicks or conversions, so your priorities section has real candidates.
Export report: pick a date range on the Command Center and export it. The Reports menu keeps past exports as PDF, CSV or XLSX, including:
a monthly performance report,
AI citation share by engine,
keyword movement,
page value and wasted rankings,
a quarterly review.
Because Serpely watches your site continuously rather than once a month, changes show up when they happen, not three weeks later in a report.
Coming soon: Hallucination Alerts, which flag when an AI model states something false about your brand, are in development. They'll give that line in your report a reliable source.
Traditional half:
Organic traffic.
Rankings and average position.
CTR.
Conversions.
Backlinks.
AI visibility half:
AI visibility score.
Citations by AI engine.
Which pages are cited.
Visits referred by AI assistants.
Finish with next month's priorities.
An AI visibility score summarises how often and how prominently AI assistants like ChatGPT, Gemini and Perplexity mention and cite your website. A keyword ranking is your position on one Google results page for one term. AI answers have no positions, so visibility is measured through mentions and citations instead.
Track a fixed set of prompts across the main AI assistants every month. Record which ones mention or cite your site, and which pages they link to. Then report the count by engine, not as one blended number. Tools like Serpely run this continuously and connect it to Search Console and Analytics data.
Sometimes. That's why you should report AI-referred sessions next to citation counts. Some engines cite you often but send few visitors. Others send fewer citations with much higher click-through. Measuring only citations hides that difference.
Monthly is the minimum for a formal report. Citations change faster than rankings, though, so continuous monitoring catches drops between reporting cycles.
For a single site with light AI tracking, yes. Once you're tracking several AI engines and want alerts between reports, a dashboard that collects the data automatically is worth the switch.
Rankings and traffic still matter, but they only tell half the story of how people find you now. A monthly report that puts AI visibility next to your traditional numbers shows leadership the full picture, and tells your team what to fix first.
Serpely is launching its public beta soon. Join the waitlist to see your rankings, AI citations and AI-referred traffic in one report.