TheANSWERFramework

Every AI query has an answer. We make sure it's you.

Six stages. One goal: get your brand recommended by ChatGPT, Perplexity, Gemini, Claude, and Copilot.

Why AEO needs its own framework

We built The ANSWER Framework because nothing else existed. When we started working on AI visibility in 2024, every agency was recycling SEO tactics and slapping “AI-optimized” on the label. Schema markup here, a blog post there, maybe some FAQ sections. No system. No methodology. No repeatable way to measure whether any of it worked.

So we built one. Tested it on ourselves first, then on clients across B2B SaaS verticals from franchise development software to compliance tech.

Most agencies treat AI visibility as an extension of SEO — optimize for Google and hope the AI models follow. That's wrong for a specific reason: AI models don't rank pages. They synthesize answers from multiple sources and decide which brands to mention by name.

Google cares about

• Backlinks and domain authority
• Page speed and Core Web Vitals
• Keyword density and on-page signals
• Crawlability and indexation

AI models care about

• Entity clarity and knowledge graph presence
• Content authority and Information Gain
• Structured data and schema markup
• Community consensus and third-party validation

There's overlap. But treating them as the same problem produces mediocre results in both channels. The ANSWER Framework treats AI visibility as its own discipline with its own optimization targets.

Audit

What we do

• Run 20-30 queries your buyers actually ask — specific to your industry, your competitors, your product category
• For each query, across each platform: Are you mentioned? What position? What sentiment? What competitors appear instead?
• Audit schema markup coverage, entity consistency across LinkedIn, Crunchbase, G2, and your site
• Assess content structure for machine readability and authority signals

What you get

An AI Visibility Score (0-100) with a detailed breakdown by platform, a competitive gap analysis, and a prioritized list of highest-impact fixes.

Deliverables

• AI Visibility Audit Report (PDF) — scores by platform, query-level results, competitive benchmarks
• Competitive Gap Matrix — who gets cited where you don't, and why
• Priority Fix List — ranked by impact, with effort estimates

The audit replaces assumptions with data. Every client we've worked with overestimated their AI visibility before seeing the numbers.

Navigate

What we do

• Analyze the entity graph for your product category — which companies does AI recognize as entities in your space?
• Identify what attributes are associated with those entities and where your brand has gaps
• Map citation sources — the specific URLs, domains, and content pieces AI pulls from for your category
• Build a competitive displacement strategy showing which competitor citations are vulnerable

What you get

An entity gap analysis, a citation source map, and a competitive displacement strategy that tells us exactly what content to create or improve.

Deliverables

• Entity Gap Analysis — your brand vs competitors across knowledge graph attributes
• Citation Source Map — the specific URLs and domains AI pulls from in your category
• Competitive Displacement Strategy — which citations are vulnerable and how to take them

Structure

What we do

• Organization, Product, Service, FAQPage, Article, HowTo, and Review schema implementation
• Entity reconciliation: LinkedIn, Crunchbase, G2, Wikipedia, Google Business Profile, and your site all telling the same story
• Structured data patterns that go beyond basic schema — direct answer blocks, comparison tables with markup, parseable FAQ patterns
• Technical checklist your dev team can maintain going forward

What you get

Full schema markup, entity audit and reconciliation, structured data templates for ongoing content, and a maintenance playbook.

Deliverables

• Schema Markup Package — Organization, Product, FAQPage, Article, HowTo implementations
• Entity Reconciliation Report — cross-platform consistency audit with fix instructions
• Structured Data Templates — reusable patterns for ongoing content
• Technical Maintenance Playbook — what to check quarterly, handed to your dev team

Write

What we do

• 3-10 citation assets per month, each targeting a specific query your buyers ask AI
• Definitive comparisons, original research, expert guides, and FAQ content
• Every piece structured with direct answer blocks, entity references, and structured data
• Query research first — what are people actually asking ChatGPT about your category?

What you get

Published citation assets optimized for both AI citation and Google ranking. Each piece includes structured data, entity references, and direct answer blocks.

Deliverables

• Citation Assets (3-10/month) — published articles targeting specific buyer questions AI gets asked
• Query Research Brief — what buyers ask AI in your category, mapped to content gaps
• Content Performance Dashboard — which assets are getting cited and where

Earn

What we do

• G2 and Capterra review generation — LLMs treat review platforms as ground truth. 200 genuine G2 reviews beat 2,000 backlinks.
• Reddit presence — ChatGPT frequently pulls from Reddit threads. Genuine discussions create citation signals.
• Quora answers — expert responses referencing your brand feed into AI training data
• Third-party publications — expert quotes in industry publications, analyst report mentions

What you get

Community consensus strategy, review generation campaigns, Reddit/Quora engagement frameworks, and third-party citation placement.

Deliverables

• Authority Signal Tracker — backlinks, PR placements, review counts, community mentions
• Review Generation Campaign — G2/Capterra outreach sequences and tracking
• Third-Party Placement Log — every publication, backlink, and community post with URLs

Refine

What we do

• Track AI Visibility Score weekly across all five platforms
• Monitor citation velocity — increasing, decreasing, or flat
• Measure citation sentiment — positive, neutral, or negative
• Diagnose drops, double down on gains, adapt when platforms change

What you get

Monthly reports with AI Visibility Score trends, citation counts by platform, competitive benchmarking, and strategic recommendations.

Deliverables

• Monthly AI Visibility Report — score trends, citation counts, share-of-voice by platform
• Competitive Benchmarks — how your citation presence compares to top 3 competitors
• Strategic Recommendations — what to double down on, what to adjust, what's coming next

How the stages work together

The ANSWER Framework isn't strictly linear. After the initial Audit → Navigate → Structure foundation, the last three stages run in parallel as an ongoing cycle:

Write

Creates new citation assets

Earn

Builds community signals around those assets

Refine

Measures impact, identifies next priorities

Results you can expect

We don't promise specific citation counts or lead numbers. Anyone who does either doesn't understand how AI models work or is comfortable lying. What we guarantee: execution on The ANSWER Framework and AI Visibility Score improvement.

Case Study

We applied The ANSWER Framework to our own site

ChatGPT: 0 mentions → cited for “GEO agency” and “LLM citation agency”
Perplexity: 2/15 queries → appearing in top sources for core keywords

Frequently asked questions

What does ANSWER stand for?

Audit, Navigate, Structure, Write, Earn, Refine. The first three build the foundation (4-6 weeks). The last three run as an ongoing optimization cycle. Each stage targets specific signals that AI models use to decide which brands to recommend.

How is this different from SEO?

SEO optimizes for Google rankings. The ANSWER Framework optimizes for AI citations. The signals are different: AI prioritizes entity clarity, content authority, and community consensus over backlinks and keyword density.