A copy-paste Claude prompt that pulls 6 months of branded search data from GSC, computes 30/60/90/180-day lift trends, identifies inflection points, and correlates each inflection back to specific AEO content launches, citation wins, and demand creation activities. Branded search is the lagging indicator that proves AEO is working — but only if you measure the lift correctly.
A buyer encounters your brand in a Perplexity answer in March. They don't click. Two weeks later, they listen to a podcast featuring your CEO. Six weeks after that, when budget approval lands, they go to Google and type your brand name. That branded search converts at 8-15% to demo. The Perplexity citation, the podcast, and the demand creation work that ran for two months all show up as one Google branded search click — credited to direct or organic. Without measuring branded search lift correctly, every demand creation investment looks unattributable.
The deeper problem is that most B2B SaaS teams measure branded search wrong. They look at a single month, see flat numbers, conclude AEO isn't working, and cut content investment. But branded search responds on 60-90 day lag. The work shipped in Q1 produces lift in Q2. If you measure each month against the prior month, you'll always see noise. If you measure quarter-over-quarter with attribution to specific milestones, you'll see signal.
This workflow does the lag-aware measurement. Claude pulls 6 months of branded search data, computes 30/60/90/180-day rolling lift, identifies inflection points (sudden upward shifts), and correlates each inflection back to specific AEO content launches, citation wins, podcast appearances, or demand creation events from the prior 30-90 days. Output: which content investments actually moved branded search, ranked by attribution confidence.
The gold variables — your brand, primary branded queries, and the milestone list — are the parts you edit. Compile your AEO content launches, citation wins, and major demand creation events from the last 6 months before running.
search_console, ga4, and pulls supplementary data from google_ads + linkedin_ads via the free Growthspree MCP. Without paid spend data, attribution can't differentiate AEO lift from paid-driven brand lift — a common false-positive that overcredits content investment.Sample output for a hypothetical mid-market B2B SaaS brand running quarterly AEO content launches. 6 months of branded search data, 3 inflection points identified, with attribution confidence ranging from HIGH to MEDIUM.
Pulling 6 months of branded search data and computing the lift attribution now.
Branded search lift verdict: STRONG GROWTH. Branded clicks +94% over the 6-month window (1,420 → 2,756). Three clear inflection points identified. The most reliable lift driver: alternatives pages — every alternatives page launch within the window correlated with a measurable inflection 60-75 days later.
Branded search moves slowly. Quarterly cadence aligns with planning cycles and allows enough latency for AEO work to show up in the data.
Head to growthspreeofficial.com/mcp. Authorize Search Console + GA4 at minimum, plus Google Ads + LinkedIn Ads for the paid spend control variable. Read-only on all. Without the paid spend connectors, attribution can't differentiate paid-driven lift from AEO-driven lift.
Pull from your content calendar, podcast outreach log, citation tracking from prior Citation Gap Finder runs, and major demand creation events. Each entry needs date, type (Content / Citation / Podcast / Mention / Other), and one-line description. Granularity matters — vague entries don't allow attribution. Save the milestone list as a markdown file you append to each quarter.
Copy the prompt from section 02. Edit the gold variables — your brand, primary branded queries (exact-match brand name + 3-5 brand+modifier variants), average sales cycle, current paid spend baseline, and the milestone list. The primary branded queries field is critical — generic brand names that overlap with common words produce noisy data. List exact-match patterns.
Calendar block: "Brand Search Lift Tracker" on the 1st of January, April, July, October. Recurring. Owner is whoever is accountable for AEO content and demand creation strategy — typically the head of content or the CMO. The output drives next-quarter content planning — run this before the planning meeting, not after.
Same 6-month attribution foundation, different angle. Pick the one that matches what you're trying to decide.
For when the multi-driver attribution is too messy to act on. Isolates a single content type — alternatives pages, podcasts, comparison content — and tracks branded lift specifically following each instance of that type. Tighter signal, narrower scope.
For year-end planning and board reporting. Pulls 12 months of data, compares against prior 12 months, identifies the 4-6 highest-confidence inflections of the year, and produces a "what worked vs what didn't" annual content investment summary.
Branded search growth in isolation is useful but more powerful when compared against category competitors. This variation tracks your branded query trend alongside top competitors using public GSC patterns and search trend data — surfacing whether your brand is winning share of category attention.
Install the free Growthspree MCP, authorize GSC + GA4 + your ad platforms, compile the last 6 months of AEO milestones, and run the lift attribution. The double-down list shows you which content types reliably produce branded search lift — and which to stop investing in. Or have senior GrowthSpree operators run quarterly lift attribution across your stack and direct content investment based on actual lift data, not vibes.