Win Citations for Local and Buying-Intent Queries
A step-by-step playbook for capturing AI search citations when customers are ready to buy or searching near your location.
Local and buying-intent queries are where revenue is made. This playbook shows you how to identify those high-value prompts, track your citation rate across all six AI engines, and take specific content actions to win more of them.
What you'll learn
- How Outercite classifies query intent and why it matters for local businesses
- Which AI engines are most and least likely to cite you for buying-intent searches
- A repeatable three-step workflow to improve citations on the queries that drive customers through the door
Why intent matters more than volume
Not every query has the same commercial value. A prompt like "best accountants in Brisbane" signals someone who is ready to act. A prompt like "how does accounting software work" is purely informational. Outercite's intent classification system labels every prompt one of five ways: local, buying intent, informational, comparison, or branded.
Local and buying-intent prompts have the highest conversion potential. Winning a citation on "emergency plumber near me" at 8 pm is worth far more than appearing in a broad informational answer.
The aggregate citation rate across the six engines Outercite tracks is 48%. That average hides a wide spread. Perplexity cites at 58% and is the engine most willing to surface local businesses. Google AI cites at only 38%, making it the hardest to win. For a buying-intent query, the gap between those two engines can mean the difference between a phone ringing and silence.
Step 1: Set up prompts that match real buying journeys
Go to /prompts and audit your keyword list. Ask yourself: do my prompts actually sound like what a customer types when they are ready to buy?
Buying-intent prompts often start with:
- "best [category] in [city]"
- "where to buy [product] near [suburb]"
- "is [your brand] open on [day]"
- "[your brand] vs [competitor] price"
Informational prompts (fine to track, but separate them) look like:
- "how does [category] work"
- "what is [product type]"
Action: Add at least five prompts per location or product line that match the buying-intent pattern. Tag them clearly so you can filter later.
Use the exact phrasing your customers use, not your internal marketing language. Check your Google Search Console queries or customer support tickets for real wording.
Step 2: Read the per-engine breakdown
Once your prompts are running, open the Dashboard and filter by intent type "buying intent" and "local." Look at citation rate per engine:
| Engine | Overall citation rate |
|---|---|
| Perplexity | 58% |
| Grok | 53% |
| ChatGPT | 51% |
| Claude | 47% |
| DeepSeek | 42% |
| Google AI | 38% |
Do not treat all engines the same. If your buying-intent citation rate on Perplexity is already above 55% but your Google AI rate is below 25%, Google AI is your biggest opportunity.
For each engine where you are underperforming, note the prompts where you are missing. That gap list becomes your content brief.
Google AI Overviews are triggered by Google Search, which means they pull heavily from your existing website content and structured data. Winning Google AI citations often requires on-page and technical work, not just new content.
Step 3: Take the right content action per intent type
The action you take depends on the intent type and engine.
Local intent
- Add a dedicated page for each service-plus-location combination (for example, "emergency plumber Northbridge").
- Include your full address, phone number, and opening hours in structured data (Schema.org LocalBusiness).
- Mention nearby landmarks and postcodes naturally in the body text.
- Get your Google Business Profile fully filled in: it feeds several AI engines.
Buying intent
- Create a clear "buy" or "book" page for every core product or service. AI engines look for a direct, authoritative source.
- Add a short FAQ section that answers the specific question (for example, "Do you offer same-day delivery in [city]?").
- Include pricing or price ranges. Engines like Perplexity and ChatGPT are more likely to cite you when they can give the user a specific, useful answer.
- Ask for and publish recent customer reviews. Many AI engines factor recency and review count into which businesses they surface.
Tracking the climb
Set a lost-citation alert for your top five buying-intent prompts. You will be notified promptly if a citation drops. Check your visibility score weekly and note whether your per-intent citation rate is trending up.
Success metric
You have won this playbook when your citation rate on buying-intent and local prompts is at or above benchmark for your key engines, held across multiple check cycles.
Try this in Outercite
Open your prompts list, filter by intent type "buying intent," and see where your citation rate sits today. If you do not have buying-intent prompts yet, add them now.
Related
Intent classification
How Outercite labels every prompt: local, buying intent, informational, comparison, or branded.
Set up alerts
Get notified the moment a citation is lost or a new one is gained.
Recovering lost citations
What to do when a citation you had disappears from an AI engine's response.
