Your 2027 guide to SEO reporting and tracking

SEO reporting has traditionally centered on rankings, clicks, traffic, and conversions. But those metrics don’t capture the full picture of how your brand is being discovered, cited, and represented across search and AI platforms today.

You now need to account for AEO and GEO attribution, AI citations, entity visibility, content decay, cannibalization, and the relationship between paid, organic, and AI search performance.

That makes SEO reporting more complex — and makes it harder to show meaningful growth, changes, and business impact to stakeholders. Your reports need to tell a clear story, which starts with having the right data and tools in place.

SEO reporting and tracking tools

Most SEOs use a combination of tools to collect, track, and report data. A few of the main ones include:

• Google Search Console.
• Google Analytics.
• Adobe Analytics.
• Bing Webmaster Tools.
• Internal site search.

You can also use third-party tools to track keyword growth, positions, and more, such as Semrush, Ahrefs, or Moz.

You’ll find a lot of third-party paid tools available to help with reporting and tracking. However, you need to be aware of each tool’s limitations.

For example, Google Search Console only retains data for 16 months, so you need to consider this if you expect to provide lengthy reports showing data past this threshold.

I’m going to assume you have these tools in place already. However, if you don’t have any of these tools, look through them and add any coding you need to your website to begin tracking.

Otherwise, without the data these tools provide, you’ll go into your SEO journey blindly.

Zero-click impact and new visibility KPIs

Rankings and clicks are no longer the only indicators of a successful search engine optimization campaign. Citations are quickly becoming an important part of visibility tracking.

We’re in the zero-click era of online marketing, and for many businesses, this has meant:

• 68% of searches end up with an AI answer
• The share of searches ending with a click has declined 9.51% in two years

For informational queries, chatbots and search engines are providing the answer while citing the site and shrinking the CTR curve.

Brand exposure gaps in traditional GA4/GSC exist because clicks, conversions, and sessions don’t tell the whole story.

New KPIs worth tracking include:

• Impression shares for AI.
• Branded search lifts.
• Citation frequency, entity presence, and structured data.
• Share of voice.

Your focus needs to shift to include mention and citation rates, prompt coverage, brand accuracy and sentiment, AI Overviews appearance rates, and referral tracking.

How do you gather all of this data?

You’ll need a mix of tools, such as AI visibility solutions, Google Search Console, Google Analytics, CRM data, Google Trends, and manual tracking to pull it all together.

Focus on goal reporting

C-suites want to see the numbers. You might be happy with a keyword moving up two pages, but nothing impacts stakeholders more than reaching targets.

Work with integral stakeholders to determine which goals to monitor.

Go-to goal reporting KPIs to consider are:

• Conversion rates.
• Events.
• URL destinations.
• Visit duration.

Use goal reporting to connect the dots between your SEO efforts and the company’s growth objectives.

Monitoring landing page visits, time on the site, and conversions allows you to improve your reporting in a way that few metrics offer.

Data like this can tell an important story that rankings can’t: value.

But you must also consider the changing SERPs by embracing the new “it” thing.

Share of Model (SoM) and LLM citation tracking

AEO and GEO require something new to replace share of voice, which brings us to Share of Model, or SoM. Whether you’re monitoring ChatGPT, Gemini, Perplexity, Claude, or another platform entirely, SoM and LLM citation tracking must be part of your reporting.

SoM is the frequency or prominence of the following when performing a defined set of prompts across LLMs: brand name, domain, and products.

Searches are relative to competitors. Tracking requires multiple tools to monitor query sets and prompt panels.

Separate cited and linked sources because they both matter and deserve to be tracked separately. Credibility issues do arise with this type of tracking because LLM outputs aren’t deterministic.

Prompts can return different citations from one run to the next. SoM should be connected to your overall content strategy because some will have higher citation rates than others.

Tracking events (even non-SEO ones)

With your tools and analytics in place, you’ll want to begin tracking major events.

SEO is about driving organic traffic to a site and generating revenue, but you also need a way to track your progress.

A few of the things you can track include:

• Major search engine algorithm updates.
• Keyword rankings.
• Page-level traffic.
• Changes and updates to the site.
• Conversions.

Tracking site changes and updates can demonstrate the value of your work and can be extremely insightful as the site continues to grow.

Separating brand vs. non-brand keywords

Now that you’re tracking events, it’s time to get into the nitty-gritty of keyword separation.

Providing clients with a long list of thousands of keywords won’t show them value. Plenty of these keywords may not be bringing in much value at all.

What you should do is try to segment your keywords into:

• Brand keywords.
• Non-branded keywords.

Brand keywords will include the company and product name, which many companies want to track when focusing on their branding.

Nike is a good example of a strong brand where people might search “Nike running shoes” and “running shoes” to find their products.

However, when working with large keyword datasets, you may want to begin separating keywords further by:

• Informative keywords.
• Transactional keywords.
• Generic keywords.

You can then segment these keywords by page, URL, or section if you want to further clarify the data and show it in your report.

Working through keyword lists is time-consuming, but it’s the bulk of the work you’ll do for your reports.

Clients want to see which keywords they’re ranking for and where the traffic is being funneled into on the site.

However, there is one point of data that is more important than any other when tracking — revenue.

Track revenue drivers

Revenue is what opens every stakeholder’s eyes and is the main attention-grabber in a report.

You’ll want to do a few things here to show revenue in a way that everyone understands and can appreciate.

Period-over-period comparisons

Comparisons are a great way to show growth over a certain period of time.

For example, companies earn much of their Q4 revenue on Black Friday and Cyber Monday.

Everyone is searching for a deal, and it’s a time period that’s filled with valuable data for your reports.

Look at the data for a period of two years so that you can show:

• Weekly growth (WoW or same week from previous years).
• Monthly growth (MoM or same month from previous years).
• Quarterly growth (QoQ or same quarter from previous years).
• Yearly growth.
• Seasonal growth.

Showing how higher search engine rankings, AEO, or GEO were able to boost sales by 25% this Black Friday compared to the previous Black Friday is priceless when creating reports.

Sales drivers

Sometimes, it’s difficult to decipher which keywords or citations were responsible for driving sales.

Tools may not allow for this level of refinement when browsing through traffic, and this is where the IT team can help you.

IT teams can help:

• Go through logs.
• Identify sales.
• Tag keywords responsible for sales (which may require customizations).

Showing that X keyword, which has gone from ranking 19 to 2, led to 17% higher sales for a product will demonstrate how investing in SEO boosts revenue.

You can also segment data for events, such as the traffic that led to calls, email signups, consultations, and so on.

Enterprise data warehouse architecture (BigQuery + GSC API)

Enterprises require more data than many tools can support for AEO/GEO reporting. Owning the data layer is one of the best approaches and allows you to bypass GSC’s 1,000-row export limit and 16-month retention.

Warehouse architecture should ingest:

• Organic GSC data.
• AI-surface citation data.
• Paid ads (search and AI).

BigQuery scheduled exports allow enterprises to gather and store valuable data that fall short with most tools. Running queries at scale does come at a cost, so be sure to have controls in place.

Governance must also be in place, such as a data retention policy and access controls.

The industry’s trusted source for essential news and analysis.

Sign up for our newsletter to receive exclusive insights and updates directly to your inbox.

• Daily breaking news
• Expert analysis from industry veterans
• Join over 200k subscribers
• Covering SEO, PPC and AIO

---

From data to decisions: Automated alerts and unified reporting

Warehouse architecture is only valuable when it drives action, which is why automated alerts and unified reporting are so important to tie everything together. You can do this in a few ways:

• Define decay in your traffic and rankings for previously performing content.
• Monitor cannibalization to understand where your multiple owned URLs are competing against each other.
• Compare rolling windows using BigQuery, which analyzes data based on a predefined period, such as content performance over the last 30 days compared to the previous 30-day period.

Understanding content decay and how it correlates to your citation frequency and AI visibility will allow you to make strategic changes to try and restore SoM.

Unified reporting must bring organic, paid, and AI search into one dashboard that highlights organic visibility, SoM, citation data, and paid spend or performance. Attributing all of these data points to specific outcomes requires closer collaboration between data, SEO, and paid search teams.

Your goal is to create conversions across all touchpoints, including AI citations, paid search, and organic visits.

Micro-conversion data

Primary KPIs show a direct link between your site’s optimization and how it’s driving revenue.

Stakeholders always want to see one thing: dollar signs. If you can show how your efforts are driving higher conversions and sales, clients or employers will be happy.

But sites are evolving, and there are a lot of moving parts.

For example, many micro-conversions occur behind the scenes, leading to future conversions but not immediate ones. An example of this would be:

• A user clicks on one of your Facebook ads, explores your site, and then leaves.
• A week later, the person remembers your brand and forgets your website’s URL, so they Google the company name and browse your site. The person even watches your product demo and downloads your free ebook.

Micro-conversions like these have a higher likelihood of a future sale, but they’re difficult to track.

In 2027, you should set up campaigns to track micro-conversions so you can show stakeholders that rankings are leading people into your sales funnel.

Creating these unique campaigns will allow you to digest the data and better target your audience. Perhaps many people view your product demo but don’t make a purchase.

Why? You can use the data to identify weak points in your funnel and make changes that do lead to more hard conversions.

Dig deeper: 3 overlooked SEO conversion metrics to consider

Supply the correct data to the right stakeholders

You’ve collected and segmented your data in a meaningful way.

But while some data points will be valuable to you and your marketing team, the C-suite might shrug others off.

For instance, say that you created a report showing:

• Technical SEO changes.
• 10% rise in organic traffic.
• Faster site speeds.
• Higher time on page.

Marketing teams will appreciate this data, but a C-suite executive will be curious about how the 10% rise in traffic led to a revenue increase.

The C-suite won’t be interested in your reporting if you don’t meaningfully tie this information to the company’s revenue.

You’ll want to make reports that touch on the key data that specific stakeholder groups want to see.

Dig deeper: What stakeholders should expect from SEO

Bot log analysis and AI crawler reporting

Reports will require you to dig deeper into your own data than in the past. You need to gather and analyze this information to understand how AI crawlers interact with your site, including:

• ClaudeBot.
• GPTBot.
• PerplexityBot.
• Google-Extended.

LLMs and answer engines digest all of your data, which you can find in your server logs. Log analysis will help you better understand your Share of Model so that you can understand crawl frequency and volume, types of content being crawled, and resolve any crawl budget issues you may have.

You can use tools like Screaming Frog’s log file analyzer to segment AI bots and then feed this back into your BigQuery to store all of this information.

Save your SEO/AEO/GEO data for future use

Your reports today will be referred to in the next year or two, and they’ll help tell the story of the company’s SEO and visibility growth.

Save the data you collect because it contains valuable information you’ll use in the future.

I have created my own custom tools to back up Google Search Console data so I can refer to it past the 16-month limit.

I suggest you do the same, since most of the reporting work you’ll be doing will remain the same — even if you change companies.

You can also begin working with tools like ChatGPT, BigQuery, and others to help you dive deeper into your data and extract valuable information you might otherwise miss.

SEOs are in a unique position to reframe zero-click outcomes for stakeholders — not as “this click is gone,” but as “here’s what I’m doing about it.”

Reporting with digestible insights and AI-driven visibility tracking can help soften the impact and make the data more meaningful to the audience.