What is AI search visibility (AEO/GEO)?

Answer Engine Optimization (AEO) / Generative Engine Optimization (GEO) is getting your brand cited inside AI answers (ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews), not only ranking in blue links.

Does schema markup get me cited by AI?

Schema and llms.txt are hygiene: necessary so engines can parse you, but not a citation lever on their own. The real levers are brand mentions and Bing ranking. We work all of it, and every change is human-reviewed.

How much does a Prompt Goblin audit cost?

Goblin Scout is a monthly visibility audit at $997/mo. Warband is $3,500/mo and Warlord $9,500/mo. Monthly, cancel anytime, no credits, no meter.

Is there a money-back guarantee?

Yes: a 100% money-back guarantee on the work, not on the algorithm. If we don't deliver your audit, or you're not happy with it within 14 days of delivery, you get a full refund, no argument. We can't promise a specific citation number (AI citation share is volatile and partly outside anyone's control), so we never sell one. We guarantee the work, and we measure the result honestly.

./learn/aeo-vs-geo

AEO gets you extractable. GEO checks whether you get cited.

Classic SEO asks where you rank. AEO asks whether an answer engine can extract the answer. GEO asks whether generated summaries cite you, your competitor, or a third-party platform instead.

AEO

Answer Engine Optimization

Structuring pages so an answer engine can extract the answer directly: short answer first, clear entities, comparison tables, and visible provenance.

GEO

Generative Engine Optimization

Earning and measuring citations inside generated summaries, then improving the off-page and on-page signals that make a source worth citing.

Why it changed

AI answers compress the result page. Seer Interactive reported organic CTR of 0.84% when AI Overviews appeared versus 2.94% without them in its study window. That does not mean every query behaves the same way. It means click-through and citation visibility must be measured directly.

What predicts citation

Topical coverage and prompt-content alignment are stronger working signals than generic authority scores.
Answer-first copy in the opening section helps engines extract a useful passage without guessing.
Visible tables, citations, and methodology notes make claims easier for humans and crawlers to audit.
Brand mentions and third-party platform presence are real work items; schema remains parseability hygiene.

These are structural correlations and work items, not guarantees. The safe loop is measure, fix, wait, and re-run.

Sourced stats

Claim	Value	Source	As of
Seer Interactive reported organic CTR of 0.84% when AI Overviews appeared versus 2.94% without them in its study window.	0.84% vs 2.94%	Seer Interactive AI Overviews CTR study	2025
A 2026 measurement framework analyzed 602 prompts and more than 21,000 valid search-layer citations across AI search platforms.	602 prompts; 21,143 citations	arXiv:2604.25707	2026
A 2026 Google AI Overviews study issued 55,393 trending queries across 19 topical categories over 40 days.	55,393 queries; 19 categories; 40 days	arXiv:2605.14021	2026

How Prompt Goblin uses it

We scan the answer surface, verify what can be verified, label what is unverifiable, and send human-reviewed work through the queue. Schema and llms.txt help crawlers parse the site; brand mentions, Bing overlap, and source-worthy content are the citation work.

read the methodology ->