The prompts you track determine the strategy you can run. Five sources, one filter, a final list of 50–150. Here's the picking process.
Most AEO programs fail at the prompt-picking step. Either the list is too narrow (50 branded prompts you already win) or too broad (500 prompts of which 400 produce zero pipeline). The right list is 50–150 prompts pulled from five specific sources, then filtered. Here's the process.
Pull the queries that already drove organic traffic to your site. Reformat each as a natural-language prompt (e.g. 'aeo tools b2b saas' becomes 'what are the best AEO tools for B2B SaaS'). These are proven money queries — you're already converting some of them organically.
Pull 20 recent discovery calls (from Gong, Chorus, Otter, Fathom). List every question prospects asked: 'how does this work with HubSpot', 'how do you compare to Profound', 'what's the ROI'. Each question is a prompt your buyers literally ask. Add to the list.
From the interview-closed-won-deals-for-aeo guide, customers will name specific prompts they asked AI engines. These are the highest-confidence picks because they actually drove deals. Add every named prompt.
Run a citation-presence audit on 100 candidate prompts across all engines. List the prompts where 2+ competitors are cited and you're not. These are the gap prompts — winnable territory you're losing by default.
5–10 'flagship' prompts that define your category: 'what is AEO', 'how does AEO differ from SEO', 'best AEO tools 2026'. You probably won't win these in year 1 (high competition, established players) but tracking them sets the long-term goalposts.
Combine all five source lists (typically 200–400 candidate prompts), then filter. Drop any prompt with estimated AI-search volume below 30/month — too small to matter. Drop any prompt that's pure education ('what is X') unless it's a flagship. You're left with 80–150 prompts.
Don't tweak weekly — destroys trend data. Lock the list for 90 days. At quarter-end, drop the bottom 30% (zero-pipeline prompts) and add fresh prompts from new customer interviews and sales calls. Quarterly cadence keeps the list alive without breaking continuity.
The steps above are one link in a longer chain. In order: you pick prompts to monitor, you track AI-referred sessions, you tag contacts in your CRM, you roll attribution up to the Deal object, you report pipeline dollars to the CFO. If you skip any link, the chain breaks and the number you quote to finance can't be defended in an audit.
If you're still evaluating which tool to run this workflow on, Lantern's AEO tool comparison hub has honest head-to-head pages for Profound, Scrunch, Peec AI, AthenaHQ, and HubSpot's own AEO product — scored on the dimensions that matter for a CMO buyer (CRM integration depth, reporting quality, prompt-scaling economics).
If you're about to walk this work into a budget review, the CFO's Guide to AEO Budget Defense has the memo template, the five-slide deck structure, the attribution-math cheat sheet, and the three most-common CFO objections with counter-arguments. It's the long-form companion to this how-to and was written for the renewal conversation specifically.
The operational rhythm that works: run the steps above once to set up, then review the output monthly in a 15-minute standing meeting with your Head of Growth and RevOps lead. Quarterly, re-audit your prompt list, your content backlog, and your attribution lookback window. Annual: present the full-year AEO ROI trend to the board. That cadence is what separates teams who ship an AEO dashboard once from teams who run AEO as an ongoing budget-defensible channel.
Instead of hand-wiring the steps above, Lantern installs the HubSpot properties, the JS snippet, and the pipeline attribution workflow in under 30 minutes — then ships the monthly ROI report your CFO signs off on. $99/mo Starter or Enterprise. 14-day free trial.
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