How Marketing Agencies Can Use AI Search Data in Pitches and QBRs
Marketing agencies can use AI Search data to show clients where they appear in AI-generated answers, how they compare with competitors, and which information or content gaps deserve attention. Across engines such as ChatGPT, Perplexity and Gemini, the useful questions are practical: is the client mentioned, how is it described, and which sources are cited?
AI Search adds another view to client strategy and reporting. Alongside SEO rankings and organic traffic, agencies can examine whether AI answers represent the client accurately and where competitors appear more prominently.
This guide explains how to use those findings in pitches, QBRs (quarterly business reviews) and ongoing client work.
Why AI Search Matters in Agency QBRs
For clients whose buyers use AI assistants during research, AI Search reporting can reveal information that rankings and traffic charts do not show. It adds context to existing reporting rather than replacing it.
Include AI visibility where it helps answer a client question or informs a relevant decision.
The shift in client expectations
Clients are asking questions your SEO dashboard cannot answer:
- Why does ChatGPT recommend our competitor for “best [service] in [location]”?
- Are we visible in Perplexity’s answer engine?
- Why does Gemini describe our pricing as outdated?
- Why do we appear in Google AI Mode for some queries but not others?
These questions give agencies a useful starting point for client discussions: what is accurate, what is missing, and which gaps matter to the client's customers?
If market context is useful for the client discussion, read more on the Generative Engine Optimization market.
Adding AI Search Context to SEO Reporting
SEO and Generative Engine Optimization (GEO) provide different but overlapping views of search visibility. Keep rankings and organic visits in the report, then add AI mentions, citations and representation to explain another part of the client's presence.
Showing different kinds of visibility
SEO visibility:
Where the client ranks in search results and which pages attract organic visits.
AI Search visibility:
Whether the client appears in tracked AI answers, where it is mentioned, how it is described and whether its website is cited.
Together, these views help explain how buyers may encounter the client. Neither mentions nor citations alone establish a recommendation, a website visit or a sale.
Comparison: SEO Reporting and AI Search Reporting
What AI Search Data Agencies Should Track
To report effectively on Generative Engine Optimization (GEO), agencies need new KPIs. The goal is to answer three questions:
- Are we visible in AI answers?
- Do AI systems describe us correctly and positively?
- How do we compare with competitors on the questions and markets that matter?
Alongside traditional web analytics, agencies need visibility into AI Search trends to understand how often their clients appear in AI-generated responses and how they are positioned.
The specific AI platforms to track will vary by client and market, so it is important to use a solution that allows flexible, market-specific tracking across different AI engines.
Citation and URL-level analysis helps agencies examine the sources shown in answers. Recurring cited pages can suggest information worth improving or third-party coverage worth investigating; being retrieved or cited does not by itself prove that a source caused a recommendation.
Use the underlying answers to distinguish a passing mention from an explicit recommendation, and check inaccurate claims separately from positive or negative sentiment.
Google and Bing native reports provide first-party data for their supported ecosystems. Cross-platform GEO analytics provides a unified view across tracked engines. GA4 shows identifiable AI referral sessions and on-site behavior, but referral traffic is incomplete. For B2B clients, CRM records, forms, sales calls and self-reported discovery add downstream context. These are complementary sources of evidence; visibility, citations, visits and pipeline do not automatically lead to one another.
Tracked questions define the sample you observe, not the volume of AI searches in the market. Google Search volume can provide separate search-demand context, but it is not AI prompt volume.
Core GEO metrics for pitches and QBRs
Using AI Search Insights in New Business Pitches
An AI Search baseline can make a pitch more specific. Choose questions relevant to the prospect's customers, compare the brand with competitors, and show the answers and sources behind your findings. A website URL can help set up tracking, but the questions, markets and engines you choose should reflect the prospect's business.
Use AI visibility findings in pitches
Add a focused AI Search example to the pitch, with its date, engine and question. Present it as an example from the tracked sample, not a complete picture of what every buyer sees.
Examples:
The reality check
“Across the category questions we tracked on Perplexity this month, your competitor appeared more often. Here is one answer where they were mentioned first and your brand was absent.”
The reputation risk
“In these Gemini answers, your pricing is described using outdated information. Let's compare the cited source with your current pricing page and decide what needs correcting.”
The opportunity
“We can update the inaccurate information, address these unanswered questions and review the recurring cited sources. Then we can track whether your representation changes over the next quarter.”
Example Pitch Deck Slide Structure:
- Slide 1: The Market View. "What AI says about your category." (Screenshot of a generic answer listing competitors).
- Slide 2: The Gap. "Where you are missing." (Highlight the competitor mentions vs. client absence).
- Slide 3: The Opportunity. "These three topics matter to your buyers. Here are the gaps we found and the content, website or PR actions we recommend investigating."
The pitch gives the prospect a clear view of the findings and proposed work without promising a particular visibility gain or sales outcome.
Using AI Search Data in QBRs and Ongoing Reporting
QBRs should explain what changed, what remained broadly stable and what deserves attention next. Visibility may improve, decline or show little change; the report should be useful in each case.
Compare equivalent periods using the same tracked questions, engines and markets where possible. If the scope changed, explain that before interpreting the trend. Keep each client's brands and markets identifiable rather than blending unlike results into one headline number.
Report the observed pattern first, then the actions taken and possible explanations. A change after a campaign is not proof that the campaign caused it: AI answers and source choices can also change independently.
Before and after answer examples
Use answer snapshots to illustrate a broader pattern, including inaccurate or unchanged answers. A single before-and-after screenshot is useful context, but it cannot establish a sustained improvement.
Example QBR GEO Slide Metrics:
- Earlier answer, with date and engine
- Recent answer for the same tracked question
- Brand Visibility trend, including declines or little change
- Sentiment and factual accuracy, reviewed separately
- Citation Rate and recurring cited pages
Close the discussion with what the findings mean for the client and which action, if any, is worth taking.
Building GEO Ready Content and Campaigns from QBR Insights
Use QBR findings to choose useful work for the next quarter. Prioritize gaps that affect important products, markets or customer questions, then weigh the likely reader benefit and effort against the client's existing plans. Not every visibility gap requires a new page.
Translating AI Search gaps into action
For inaccurate pricing or product details, update the relevant website pages and investigate outdated cited information. For a useful unanswered question, improve an existing page or brief new content. For recurring third-party citations, review what those sources explain and consider relevant PR or outreach. Choose the action because it serves the client's audience, not simply because a competitor is cited.
- Identify meaningful gaps: inaccurate product information, useful unanswered questions or recurring competitor citations on topics that matter to the client.
- Turn useful gaps into content briefs.
- Use the client's existing tools to edit, approve and publish the work. If your team needs more support here, compare content optimization platforms against the tools you already use.
- Review subsequent visibility, citations and answer accuracy alongside the work completed, without assuming it caused every change.
In the next monthly report or QBR, compare the same views again. Show improvements, declines and stable results, with examples that explain the pattern. If there is no meaningful change, reconsider the proposed action rather than presenting activity as success.
How Superlines Supports Agency Pitches and QBRs
Superlines is AI Search analytics for enterprise/in-house marketing teams and marketing agencies. It provides measurement, intelligence and recommendations that agencies can use alongside their existing content, website and PR tools.
Next Steps for Agencies
Here is the simplest way to begin:
- Audit your top three clients to establish baseline AI visibility
- Add a slide on Generative Engine Optimization to your pitch and QBR templates
- Report Brand Visibility, Citation Rate and Sentiment separately, with competitor and source context where useful.
- Bring proactive AI Search insights into the next client meeting about their current visibility
- Choose one relevant content, website or PR action and review subsequent changes.
Start with One Useful Client Question
Choose a client question that matters, review how the brand appears across relevant AI engines, and use the findings to agree on useful work. The goal is clearer client decisions and reporting that separates what changed from what you can prove.
Superlines can help your team track these signals across brands and markets and bring them into client reporting.