GENERATIVE ENGINE OPTIMIZATION · GET CITED, NOT JUST RANKED

Be the answer
AI gives.

When buyers ask ChatGPT, Perplexity, Claude, or Google's AI Overviews, one brand gets cited and everyone else disappears. Our 7-step GEO stack — the same one we published in The GEO Playbook — makes sure it's you.

73%Citation rate on priority prompts
200Prompts tracked weekly
4AI surfaces monitored
/ THE PROBLEM

Rankings without
citations pay rent.

01

Zero-click is the default now.

AI Overviews sit on top of your best rankings and answer before anyone scrolls. You can hold position one and still watch clicks fall quarter over quarter. Ranking is no longer the finish line.

02

Someone gets cited. Is it you?

When a model answers a category question, it cites two or three sources. If a competitor is the default citation for your buyers' prompts, they're doing your positioning for you — every single day.

03

Nobody owns the prompt space.

You track 5,000 keywords and zero prompts. No one in the org can say what ChatGPT tells a buyer who asks about your category. You can't win a channel nobody measures.

04

The old playbook doesn't transfer.

What ranks is not what gets cited. Models reward extractable answers, clean entities, and independent corroboration — signals most SEO programs have never optimized, because they never had to.

/ WHAT WE RUN

The 7-step GEO stack,
operated weekly.

Prompt-space research

The 200 prompts your buyers actually ask, mapped and weighted by intent — because "best X for Y" prompts close deals and vanity prompts don't.

Citation tracking

All 200 prompts run weekly across AI Overviews, ChatGPT, Perplexity, and Claude. Citation share trended like a rank tracker — yours and your competitors'.

Entity & schema engineering

Knowledge-graph cleanup, structured data, and consistent entity signals everywhere your brand appears — so models resolve who you are without guessing.

Answer-shaped content

Pages restructured for extraction: direct answers up top, original stats, comparison tables, and quotable one-liners a model can lift with attribution.

Corroboration & authority

Models cite what other sources confirm. Digital PR, data assets, and third-party mentions give them independent reasons to trust — and cite — you.

Citation-share reporting

Board-ready: citation share by prompt cluster, surface by surface, versus named competitors — tied to pipeline in the same QBR as the rest of your program.

/ FIRST 90 DAYS

From invisible to cited.

01
WK 01–02

Baseline citation audit

All 200 prompts run across the four surfaces. You see exactly where you're cited, where competitors are, and which prompt clusters are winnable first. Most clients are cited on under 15% at baseline.

02
WK 03–05

Entity + technical fixes

Schema shipped, entity signals reconciled across the web, and crawl access verified for GPTBot, ClaudeBot, and PerplexityBot. The unglamorous work that decides whether you're even in the candidate set.

03
WK 06–09

Ship answer-shaped content

Priority prompt clusters get extractable, statistic-rich content while digital PR seeds the third-party corroboration models look for. Every asset maps to a prompt cluster in the tracker.

04
WK 10–12

Compound citation share

Weekly tracking shows the share curve moving, surface by surface. First QBR: citation share versus baseline and versus competitors, plus the next quarter's prompt clusters — sized and sequenced.

/ PROOF

Citation share,
measured weekly.

All case studies
0%
Citation rate on priority prompts by month six
0
Buyer prompts tracked weekly, per client
0
AI surfaces monitored: AIO, ChatGPT, Perplexity, Claude
/ FAQ

Fair questions.

They overlap — crawlability and authority matter to both — but the ranking factors and the citation factors are different lists. Models select for extractable answers, clean entity signals, and independent corroboration; classic SEO never had to optimize those deliberately. We run GEO as its own tracked program with its own metric (citation share), and it compounds with the SEO work rather than replacing it.
Scripted weekly runs of your 200-prompt set across AI Overviews, ChatGPT, Perplexity, and Claude, logging every cited source. That gives you citation share trended over time, by prompt cluster and by surface — the same way a rank tracker works, but for answers. The full methodology is published in The GEO Playbook if you want to inspect it before a call.
AI Overviews move fastest — entity and schema fixes can show up within weeks because it's grounded in Google's live index. ChatGPT and Claude shift more slowly, on retrieval and model-update cycles. Across clients, meaningful citation-share movement lands in 60–90 days, which is why the 90-day plan front-loads the technical and entity work.
No — it's the same direction of travel. Answer-shaped content wins featured snippets, improves organic CTR, and reads better for humans; schema and entity work strengthen classic rankings too. We track rankings and citations side by side in the same dashboard, so if anything regressed you'd see it within a week. We haven't seen it happen.
Google AI Overviews (including AI Mode), ChatGPT, Perplexity, and Claude — the four surfaces where buyer research actually happens today. When a new surface shows real buyer volume, it gets added to the weekly tracker for every client at no change in scope. We add surfaces when the data says so, not when the headlines do.
/ RELATED SERVICES
/ WORK WITH US

Want a growth engine
instead of an agency?

A 30-minute call with a senior strategist. Bring your hardest growth question — leave with a sized plan.