How to report on AI overviews in digital PR campaigns

AI overviews have completely changed the way we use, interpret, and find information online. Not too long ago, finding an answer meant opening multiple tabs, scrolling through pages of search results, and piecing together information yourself. But now, Google is increasingly doing that work for us, pulling together quick, AI-generated summaries directly in the SERP. 

For years, digital PR and SEO strategies focused on efforts to improve search rankings, whereas now, brands have become part of the very answer itself, and need to prove to Google that their brand and content is trustworthy enough to be featured at the very top of the page. 

In 2026, Google’s AI overviews will appear in nearly 55% of all Google searches, existentially changing what visibility in search actually looks like. So as many PR and SEM professionals transition to AI-focused strategies, my question today is: how do you actually report on AI overview-driven efforts?

First, the basics…

AI overviews and digital PR go hand-in-hand. Along with owned content, earned media, brand mentions, and backlinks can directly influence AI Overviews when deciding what information to include about your brand.

After launching an AI Overview-focused SEO or PR strategy, how can you translate those results into meaningful reporting? The first step is to establish the KPIs you plan to track and influence throughout the campaign.

1. Define targeted keywords and longtail search queries 

Start by identifying the exact queries you want your brand to appear for. This means reviewing commercial keywords, informational queries, long-tail conversational searches, and question-based searches where you are mostly likely to, or want to appear in. 

AI Overviews are typically triggered by intent-led searches, so getting clear on these search query targets early on, are key to defining what you will be reporting on, and getting the most out of your AI overview strategies. 

2. Define the brands you want to align against 

In AI overviews, if your competitors are writing, talking, or producing content touching on similar topics, it’s very likely that you will appear in overviews beside them. They regularly group and synthesise information across a topic, so if you don’t define who you’re being compared to, you can’t properly interpret your position in overview results. 

For this reason, a great starting point is to monitor competitor mentions, the brands that appear most frequently in AI overviews for your pre-determined queries, the publishers most often cited, and where you might find citation overlap. This will help you better understand how to position your brand, and how well it performs in relation to other brands in similar markets. 

3. Analyse the type of search you want to appear in first 

Not all AI Overview appearances are equal, and depending on search intent, some overviews are harder to secure than others. Therefore, you may want to segment your reporting by search intent type. 

Similar to traditional SEO, these can include informational queries where users are looking for information or answers, commercial queries, comparative and transactional for brand and product-led searches, as well as local intent for users looking for nearby businesses or services. 

Once this is determined, it will be much easier to report on visibility by intent category and measure query penetration across each segment and intent category.

When it comes to reporting…

You’ve set your KPIs and targets, and now your campaigns are wrapping up… What are some ways you can report results, growth, and progress? 

1. AI Overview visibility rate 

Starting with the basics, you could begin by analysing your brand’s overall AI visibility rate. What exact search queries are you appearing in? Are you appearing in informational or transactional searches? How often are you appearing overall? What percentage of tracked queries do you appear in? And what does your share of voice across AI results look like? 

Considering these questions will allow you to turn overall visibility into measurable performance metrics, and will help to provide a benchmark to determine how dominant your brand is within AI Overviews initially. 

2. Include qualitative reporting

In comparison to the traditional quantitative metrics we like to report on in PR and SEO such as domain authority, conversion rates, do-follow links or the like, qualitative sentiment matters more in AI overview reporting. 

Consider how your brand is described, the language being used, and common messages and themes that are being surfaced in the summaries you appear in. This can be really valuable for gaining an understanding of brand positioning and awareness, and what AI actually thinks, knows, and understands about you. 

 3.  Query-level penetration depth

When analysing each AI overview, another outcome to review is the depth and amount of relevant information being surfaced. You could look at how many times your brand or client is mentioned, how much brand related content is being surfaced, and what percentage of each AI Overview is dedicated to your brand specifically. 

This is a strong way to determine how trustworthy AI and Google perceive your content to be, as the deeper the penetration into your content, the more likely AI is to continue reusing it, and recognise you as a trusted and authoritative entity.

4. Source ownership and attribution share

Similar to the point above, you could analyse what percentage of citations come from your own content versus third-party publishers.

While media placement and backlinks are important, and a combination of owned and earned media being surfaced is ideal, if AI is citing your on-page content, that is a strong sign you are doing something well. And by well, I mean that AI sees you as a trustworthy and authoritative source.

Diving deeper into this metric determines how much control you have over your online narrative and brand sentiment, and better understand where exactly this narrative is coming from. 

5.  Share of citations vs competitors

In the same way we benchmarked “competitors” when setting out KPIs, you should absolutely enact this in the reporting process too. When looking at where you are appearing in AI overviews, aim to understand what percentage of citations you own or appear in compared to your competitors. 

Where are you appearing where they aren’t? And vice versa. From there, you can assess the net gain or loss in visibility against key competitors over time, helping you to get more granular with your content and media targeting in future initiatives.

6. Find patterns in organic traffic growth

As we move away from the traditional metrics of clicks and conversions being the sole indicators of success, it’s important to identify broader patterns in performance data too. One final key indicator to monitor when reporting on AIO’s is growth in organic traffic, particularly in relation to pages or topics aligned with AI Overview visibility. 

This can help uncover upward trends in important metrics such as branded search uplift, landing page traffic, and increased engagement following AI Overview exposure. Identifying where these overlaps occur can be a strong way to demonstrate the overall impact and success of AI Overview visibility. 

AI Overview reporting is new but doesn’t have to be scary. While it certainly shifts away from traditional ranking and evaluation methods, PRs and SEM professionals can demonstrate success by taking a more nuanced approach to visibility and overall sentiment analysis. 

As AI search and GEO continues to grow and scale, being adaptive and proactive to the way we measure success will be essential to staying visible, and competitive in the new way we search and learn online. 

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