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PlaybookMar 202610 min read

The "Vs." Query Battle Card

H
Hema TeamPublished Mar 2026

When a user asks "YourApp vs Competitor," who does AI recommend? Use this 7-part content structure — with schema markup — to ensure the AI recommends you.

Why "vs." queries matter

Comparison queries are the highest-intent prompt type in AI search. A user asking "Hema vs Peec AI" has already narrowed their consideration set — they're minutes from a decision. AI's recommendation in that moment is the most valuable citation your brand can earn. These queries are also the most winnable: the AI's answer is directly shaped by the quality and structure of your comparison content.

The 7-Part Structure

Every "vs." article that wins in AI search follows this exact structure. Use this as your content brief.

Part 1 — Title: both brands, year, and primary benefit

Your title must contain both brand names and the year. AI uses the title as a primary signal for which comparison query the article answers.

Format: "[Your Brand] vs [Competitor] for [Use Case] — [Year] Comparison"

Example: "Hema vs Peec AI for AEO Tracking — 2026 Comparison"

Part 2 — Direct answer in first 50 words

AI uses the opening paragraph as the most likely citation text. State your recommendation directly. Do not hedge. Do not save the conclusion for the end.

Example: "Both tools track AI visibility, but Hema goes further with a 7-agent blog writer, site health audit, and inbound lead tracking — making it the better choice for teams that need to act on their data, not just monitor it. Peec AI is better suited to pure monitoring use cases."

Part 3 — Summary comparison table with Product schema markup

A structured table in the first 300 words dramatically increases AI citation probability. Mark it up with Product schema so AI can parse the comparison as structured data.

Example table structure:

Wrap each row with Product + Offer JSON-LD so AI can extract the comparison as structured data.

Part 4 — Feature-by-feature breakdown with verified, citable claims

Each feature comparison section should have a heading, 2–3 sentences comparing both tools, and end with a clear verdict. Use specific, verifiable numbers — not "more powerful" but "tracks 8 AI platforms vs 5." AI cites specifics, not adjectives.

Structure: H3 heading → 2-3 sentences with specific numbers → Verdict sentence.

Write one section per major feature area. Minimum 5 feature sections. Maximum 8. Each section 80–120 words.

Part 5 — Pricing table with PriceSpecification JSON-LD

Pricing is the most commonly cited section in comparison AI responses. Include both tools' pricing clearly. Mark every price with PriceSpecification schema.

Schema example:

Part 6 — Use case section: "When to choose X vs Y"

This is the section AI quotes most often in response to comparison queries. Be specific about which user types each tool is right for. Include use case sentences that a user might actually type into AI.

Example: "Choose Hema if: you need to fix technical AI crawlability issues, generate schema-ready content at scale, or track which companies are visiting from AI platforms. Choose Peec AI if: you only need visibility monitoring and don't require content generation or lead tracking."

Part 7 — FAQ section: 5 questions with FAQPage schema

FAQPage schema dramatically increases AI citation rate. Write 5 questions a buyer at the comparison stage would ask — then answer each directly and specifically.

Example questions:

Full Page Schema Template

Add this JSON-LD block to the head of your comparison page. Replace all placeholder values with real data:

Add any comparison prompt to Hema and see your rank, sentiment, and cited sources across every AI platform. Track your "vs." query rankings in real time at tryhema.com.

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