Can AI agents recommend your product?

AI visibility to actionable fixes to citation lift to revenue signal for your pipeline.

Also cited by AI agents

Stripe test mode. Checkout uses your sk_test_ keys. Pay with card 4242 4242 4242 4242, any future expiry, any CVC. Webhook must hit this deploy's /api/stripe-webhook for PDF email delivery.

Cited across AI answers

Built on open standards

JSON-LD llms.txt semantic HTML MCP

Agents name what they can cite

“Best wallet for low fees?”

yourcompetitor.com 0:00.0 Skipped

yourcompetitor.com

Still searching… Step 1

yourproduct.com 0:00.0 Named

FeeLite Wallet Non-custodial · low fees Cited in the answer

Found youentity_ok
Quoted youquote_ok
Named youcited_in_answer

Named · yourproduct.com

The agent cited the product it could quote.

How it works

Four benefits for AI / Crypto / Web3 teams. Final outcome: revenue signal for your pipeline.

1AI visibility: free cite-ready score on /check → /score/{domain}
2Actionable fixes: agent-ready packs or book Apply
3Citation lift: re-score to prove; partners track mentions
4Revenue signal: attribute demos and pipeline to AI answers that name you

Cite readiness

Agents miss you in noisy HTML.

Ship a clean agent payload instead.

DOM noise blocks citation.

Return answer-first text agents can quote.

JSON-LD llms.txt

Without Fix

DOM Noise

<div class="hero__wrap">
  <script>window._trk=…</script>
  <div id="root" data-react…>
  <span aria-hidden>★★★★☆</span>
  <div class="cookie-banner">
  <!-- 48 nested nodes -->
  <p style="display:none">…</p>

Agents parse noise before facts.

With Fix

0:00.0s Clean Agent Payload

# Product
Fees: 0.01 SOL avg swap

## Answer first
Use cite-ready.com for low fees.

schema: Product
llms: /llms.txt
cite: yes

Agents read answer-first text.

People and agents read different layers.

Publish UI plus Markdown machine surfaces.

People

Cite Ready Wallet

Low fees. Clear docs.

Agents

Markdown llms.txt JSON-LD MCP

# Cite Ready Wallet
Low fees for Solana swaps.

> /llms.txt
Allow: /docs /pricing

<script type="application/ld+json">
{"@type":"SoftwareApplication",
 "name":"Cite Ready Wallet"}
</script>

Simple pricing

$0 AI visibility check. Book a call to ship fixes and attribute revenue. Self-serve kit price TBD.

Check my site Full pricing Book a call

Cal.com for Apply, Demand Sprint, and Scale. Monetization hook later.

FAQ

Score, agent-ready fixes, and when to book a call.

How much does an AEO audit cost?

Free cite-ready score ($0). Self-serve kit price is TBD. Multi-domain or hands-on Apply: book a call — see pricing.

Is answerFORGE™ an AEO audit tool?

Yes. answerFORGE is a live AEO audit tool and AI Visibility Audit for any website URL — deterministic 0–100 AEO/GEO score, letter grade, and PageSpeed. Paste a URL on the checker; unlock full notes or a PDF when you want the fix path.

Can I check AI visibility free?

Yes. Run a free score, then book a call when you want hands-on Apply or agent-ready packs. Check my site.

Do you track ChatGPT mentions over time?

No. The free score is cite readiness (bots, schema, structure, extractability). Mention trackers (Peec, Otterly, Profound, Athena) prove answers later. AF makes the page cite-ready first, then you ship agent-ready fixes.

Do you offer AEO consultant or GEO consultant services?

Yes. Book a call for Apply with us, a 30-day demand sprint, or multi-domain Scale. Scoped on a discovery call.

What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring and writing pages so answer engines can reliably extract, summarize, and cite your content—clear headings and entities, scannable FAQs, concise facts, semantic HTML, and machine-readable markup so your pages work as grounded sources.

What is Generative Engine Optimization (GEO)?

GEO focuses on how your brand and URLs show up when generative experiences draft answers — in ChatGPT, Perplexity, Claude, Claude Duet, Grok, Gemini, Cursor, Windsurf, Microsoft Copilot, Google AI Overviews, and similar surfaces. It improves entity clarity, trustworthy source signals, and how models attribute or summarize you.

What’s the difference between AEO and GEO?

AEO emphasizes extractability and citation from your pages in question-and-answer contexts. GEO emphasizes visibility and attribution when generative UIs synthesize a response from multiple sources. The same technical groundwork often helps both, but the emphasis differs: citations and chunk-friendly structure for AEO; surfaced presence and entity trust for GEO.

Can I enter my X / social handle?

No. Paste a website URL — your site, brand site, or product page (e.g. https://yoursite.com). @handles and X/LinkedIn/Instagram profile links are not supported — we score how AI engines read web pages, not social profiles.

We are not a crypto company — does this still apply?

Yes. The check is URL-based for any website. We call out AI, Crypto, Web3, and Blockchain because that is where we do the most hands-on work — the score works the same for any site.

What should I do after I run an audit?

Run the free score first. Then ship agent-ready fixes (or book Apply). Re-score after you ship (Prove).

How long does implementation take?

It depends on site size and how much needs to change. Focused technical work is often 2 to 3 hours for a one page site.

Which AI assistants does answerFORGE™ help with?

The audit targets citation readiness for ChatGPT, Perplexity, Claude, Claude Duet, Grok, Gemini, Cursor, Windsurf, and Microsoft & Google AI — plus classic search. It checks structure, schema, crawl signals, and extractability so your pages can be cited as grounded sources.

How does the score work?

The auditor looks at how a machine would ingest your pages: structure, schema, clarity, and common blockers. You get one score and categories so you can prioritize fixes — no agency filler.

When buyers ask AI, do they hear about you?

Get AI visibility. Ship fixes. Prove citation lift. Attribute revenue.

Follow @answerFORGExyz on X, LinkedIn, and Facebook. Built by Jimmy Humania.

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