The ANSWER Framework
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.
Trusted by Growth-Focused B2B Brands
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
Measure what matters
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.
We ran our own site through this process when we first built it. Scored 34/100. Perplexity cited us for 2 out of 15 test queries. ChatGPT mentioned us zero times. That was the wake-up call that made us take our own medicine.
The audit replaces assumptions with data. Every client we've worked with overestimated their AI visibility before seeing the numbers.
Navigate
Map the landscape
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.
This is where most agencies skip ahead. They jump straight to "write more content" without understanding the landscape. That's like running Google Ads without keyword research.
We need to know who occupies the positions we want before we can take them.
Structure
Build the foundation
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.
Schema is table stakes. The real work is entity optimization.
Here's something we learned the hard way: we tested across 12 client sites. Adding comprehensive schema without changing content or entity signals improved AI Visibility Scores by an average of 4 points. Adding entity optimization improved scores by an average of 18 points. The entity work is where the real gains live.
Foundation stages done. Ready to see where you stand?
Write
Create citation-worthy content
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.
The key principle is Information Gain. Every piece must add NEW information — original data, proprietary benchmarks, first-party comparison tests, contrarian analysis backed by evidence.
AI models don't cite content that summarizes what already exists. They cite content that adds something new. We don't write generic blog posts. Every citation asset starts with query research — what are people actually asking ChatGPT about your category? Then we reverse-engineer what the AI currently cites and build content that fills the gap.
Earn
Build community consensus
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.
This is the stage most companies skip. They think AEO is schema + content. It's not.
I've seen companies with perfect schema, excellent content, and near-zero AI citations because nobody outside their own website talks about them. AI doesn't trust brands that only exist on their own domain.
Community consensus builds slowly but compounds — results accelerate over months 2-4.
“It's only been a month since we started with AnswerManiac and we're already showing up as a top recommendation for 'jitter alternative' in ChatGPT and Perplexity. That's a high-intent query we couldn't crack with traditional SEO.”
Head of Growth
Zefi.ai
See real results from The ANSWER Framework
We applied this exact methodology to our own site. ChatGPT went from zero mentions to citing us for “GEO agency” and “LLM citation agency.”
Refine
Monitor, measure, adapt
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.
This stage never ends. AI platforms change constantly.
Perplexity updated their citation logic three times in Q4 2025. Each update shifted which content types got cited. Companies without active monitoring didn't notice until citations dropped. We caught each shift within days and adjusted accordingly.
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
The cycle repeats, each iteration building on the last. Most clients see initial AI Visibility Score improvements within 30-60 days from the Structure stage. Meaningful citation gains emerge in months 2-3 as Write and Earn take effect. By month 4-6, consistent effort produces compounding growth.
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.
Typical AI Visibility Score range
AI platforms citing your brand
First measurable improvements
Score improvement guarantee
Exact numbers depend on your starting point, competitive landscape, and existing content quality.
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
If your AI Visibility Score doesn't improve within 90 days, we refund your money. That's the guarantee.
Frequently asked questions
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.
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. There's overlap, but treating them as the same problem produces mediocre results in both channels.
Structure stage improvements show up within 30-60 days. Meaningful citation gains from Write and Earn emerge in months 2-3. Compounding growth kicks in around months 4-6. We commit to a 6-month minimum because that's what it takes to build lasting AI visibility.
The Audit is free — run your AI Visibility Score at answermaniac.ai right now. Navigate and Structure require entity analysis tools and structured data expertise. Write requires understanding what AI models actually cite (not the same as what Google ranks). You can do parts yourself, but most B2B companies get better results with a specialist.
We've applied it across franchise development software, compliance/RegTech, fleet management, cybersecurity, HR tech, MarTech, and more. The methodology is industry-agnostic — it works wherever B2B buyers use AI to evaluate vendors.
Founding Cohort: $497/month for a 90-day pilot. Growth Engine: $2,997/month with 10 citation assets and full ANSWER Framework execution. Category Monopoly: $5,997/month for companies that want to dominate their category in AI search. All tiers include the 90-day guarantee.
You've seen the framework. Now see where you stand.
Get a visibility report showing where you appear in AI answers, which competitors get cited instead, and how much pipeline you're leaking. Takes 60 seconds.
Or book a strategy call to walk through the ANSWER Framework with our team.