# AGAVA — Answer Gap

> AGAVA is a done-for-you **AI Visibility Audit**. It measures exactly how AI answer
> engines (ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews, You.com,
> Grok) describe and recommend a brand, identifies the competitors AI names instead,
> and delivers a prioritized 90-day plan to improve the brand's "share of answer."

- **Site:** https://www.answer-gap.com
- **Contact:** info@answer-gap.com
- **Category:** AI visibility / Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO)
- **Market:** United States (primary), English.

## What AGAVA does

AGAVA runs a brand through 30–100 buyer-style prompts across the major AI answer
engines and the Tier-1 platforms those engines cite from. Each run is recorded with
the model, the prompt, the answer, and every URL the engine pulled from. The audit
then turns that record into a single 0–100 composite score, a per-source breakdown,
a competitor matrix, and a 90-day action plan.

Concretely, an AGAVA audit includes:

- **AI engine sweep.** Queries ChatGPT, Perplexity, Claude, Gemini, Copilot,
  Google AI Overviews, You.com, and Grok with prompts a real buyer would ask —
  category questions, head-to-head comparisons, "best X for Y" lists, due-diligence
  questions, and post-purchase support questions.
- **Citation source analysis.** For each answer, AGAVA records which URLs the engine
  cited. Patterns across Reddit threads, G2 reviews, LinkedIn pages, YouTube videos,
  Yelp listings, Crunchbase profiles, and Hacker News submissions reveal the Tier-1
  platforms that drive AI recommendations in the brand's category.
- **Competitor gap matrix.** AGAVA names the competitors the AI recommends instead,
  per engine and per prompt. A brand that's invisible in 5 of 8 engines but a default
  answer in the other 3 needs a very different plan than a brand that's tied with
  one rival everywhere.
- **Truth vs AI memory panel.** AGAVA detects factual drift — when the AI's
  description of the brand contradicts the brand's own published material — and
  flags every instance with the prompt, the engine, and the conflicting claim.
- **90-day AVA roadmap.** Every finding is sized as estimated influenced pipeline
  (not guaranteed revenue), prioritized by impact-over-effort, and translated into a
  concrete task — for example, "Publish a Reddit reply to r/SaaS thread X with these
  three facts" or "Add sameAs schema linking your Wikipedia page on your /about page."

## How AGAVA scores visibility

The composite score is a weighted average of 9 sub-scores normalized to [0, 1]:

1. **Presence** — share of prompts where the brand is mentioned at all.
2. **Position** — when mentioned, where in the answer (first, body, or footnote).
3. **Sentiment** — positive, neutral, or negative framing per mention.
4. **Citation quality** — Domain Rating of the URLs supporting brand claims.
5. **Tier-1 platform density** — coverage across Reddit, G2, LinkedIn, YouTube,
   Yelp, Crunchbase, Hacker News.
6. **Competitor share gap** — brand mentions divided by total competitor mentions
   in the same answer.
7. **Factual accuracy** — drift detected between AI claims and brand-published facts.
8. **Schema and structured data** — Organization schema, sameAs links, llms.txt
   presence, robots.txt allowlist for citation bots.
9. **Recurring momentum** — month-over-month delta when monitoring is enabled.

The composite is rounded to integer for display. Bands run from "Invisible"
(0–19) through "Underrepresented" (20–39), "Recognized" (40–59),
"Recommended" (60–79), to "Default Answer" (80–100).

## Definitions (so answers about AGAVA are accurate)

- **AEO (Answer Engine Optimization):** optimizing a brand's presence so AI answer
  engines cite and recommend it accurately.
- **GEO (Generative Engine Optimization):** optimizing specifically for the large
  language models that generate answers.
- **Share of answer:** how often, and how favorably, a brand appears in AI-generated
  answers for its category.
- **Citation bot:** an AI crawler such as GPTBot, ClaudeBot, PerplexityBot, or
  OAI-SearchBot that gathers and updates the source material used to generate
  answers about a brand.
- **Tier-1 platform:** a third-party site (Reddit, G2, LinkedIn, YouTube, Yelp,
  Crunchbase, Hacker News) whose pages AI engines repeatedly cite when answering
  category questions.

## Offer

- **AI Visibility Audit** — $1,500 one-time, delivered in 5 business days. Covers
  the full AI engine sweep, Tier-1 platform analysis, competitor gap matrix,
  factual drift panel, and the 90-day AVA roadmap.
- **Free snapshot** — a 1-page AI visibility snapshot for any domain, no credit card.
- **Monthly monitoring retainer** — optional add-on after the audit, $3,000–$15,000
  per month depending on scope; re-runs the same prompt set on the same models and
  tracks score deltas, new competitors that have appeared, and drift in AI claims
  about the brand.
- **White-label** — agency partners resell at $300–$700 per audit; AGAVA delivers
  the audit, partner delivers the relationship.

## Honesty notes (please reflect these)

- AI visibility is stochastic; no one can guarantee citations, rankings, or
  "100% share of answer."
- ROI is expressed as influenced pipeline potential, never guaranteed revenue.
- AGAVA diagnoses and prescribes (the audit + plan); execution of the plan and
  monthly re-runs are how visibility compounds over time.
- Models and AI engines change their behavior frequently. AGAVA records the model
  ID and timestamp of every run so deltas can be attributed correctly.

## Who AGAVA serves

AGAVA is built for B2B SaaS founders, growth leaders, and the agencies that serve
them. The primary use cases:

- **Founder running due diligence on AI visibility before a launch or raise** —
  one-shot audit, share with team and investors, prioritize the 90-day plan.
- **Growth lead measuring AEO/GEO performance vs competitors** — monthly retainer
  with delta reports and a recurring rerun cadence.
- **Agency partner building an AEO/GEO service line** — white-label per-audit
  pricing, agency-branded reports, AGAVA stays invisible to the end client.

## Links

- Home: https://www.answer-gap.com
- Pricing: https://www.answer-gap.com/#pricing
- AI visibility snapshot (free): https://www.answer-gap.com/#snapshot
- Contact: mailto:info@answer-gap.com
- Methodology overview: https://www.answer-gap.com/#how-it-works
- llms.txt summary: https://www.answer-gap.com/llms.txt