Most companies trying to "do GEO" jump straight to step 3 — they rewrite a few pages, add some FAQ schema, and wait. Three months later they check their Otterly dashboard, see no movement, and either give up or hire an agency. The agency rewrites a few more pages. Same outcome.
The reason isn't that the work is hard. It's that the work is sequenced wrong. AI citation comes from the intersection of three things: extractable content, entity authority, and coverage of the right prompts. You can't fix what you haven't measured, and you can't prioritize what you haven't diagnosed. Every step depends on the one before it.
This is the method we use on every Authority engagement. It's a free playbook. If you have a content team and a technical SEO and a PR person with bandwidth, you can run it yourself — and you should. If you don't, the math on hiring us starts looking very fair very quickly.
Step 1: Measure
You can't move what you don't measure. The first thing every audit does is establish a baseline: how often does your brand appear when an AI engine answers a buyer's question in your category?
That baseline has three dimensions. Per engine — ChatGPT-4o, Perplexity Sonar, Gemini, Claude, and Google AI Overviews each rank differently and weight different signals. Per prompt — "best CRM for a small SaaS team" and "HubSpot vs Pipedrive for solo founders" produce wildly different competitor sets. Per buyer persona— your ICP's prompts surface different patterns than the generic category prompts a journalist would type.
The Authority audit runs 200+ prompts across all five engines at this stage. The free Shortlist Score runs 10 prompts across two engines as a preview. Both produce the same shape of output: a citation scorecard that tells you, in 90 seconds of reading, exactly which buyer questions you're winning and which you're losing.
The output isn't the score itself. The output is knowing where to spend the next quarter.
Step 2: Diagnose
Every visibility gap traces back to one of three root causes. They look similar from the outside; they require completely different fixes.
Cause 1 — non-extractable content.The page exists, ranks fine in Google, but AI engines can't lift a clean answer from it. The content is wall-of-paragraph prose, the buyer question isn't answered in the first 150 words, there's no FAQ structure, and the schema is missing. The fix is restructuring, not rewriting from scratch.
Cause 2 — weak entity authority.The content is fine. AI engines just don't see your brand as a category authority because the surfaces they trust — G2, Capterra, Reddit threads, trade press, podcast appearances, structured backlink profiles — don't include you. The fix is earned mentions, which compounds over months.
Cause 3 — coverage gap.You have no page, no answer, no entity presence for the specific prompts buyers ask. Competitors do. The fix is producing the missing pages — comparison pages ("X vs Y"), "best for [ICP]" pages, problem-led pages — in formats AI engines extract reliably.
Most companies have all three causes simultaneously. The audit ranks them by impact × effort so you fix the cheapest big-mover first. Without that ranking, teams default to producing more content because content is the easiest thing to ship — and they wonder why citation rates don't move.
Step 3: Fix content
Once you know the cause is content, the work splits into two streams. Restructure existing pages for the buyer questions they're trying to answer. Produce new pages for the prompts you have no coverage on.
Restructuring follows a fixed template. The first 80–120 words after the H1 deliver a direct answer to the page's primary question. Headers map to specific buyer questions, not internal taxonomy (no "Features" or "Solutions" H2s). Comparison sections use tables because LLMs extract tables cleanly. FAQ blocks at the bottom carry FAQ schema. Entity context — what the product is, who it's for, what category it sits in — is mentioned in the first paragraph and reinforced in alt text and JSON-LD.
New pages cluster into three families. Comparison pages — "X vs Y" where one of you is the page's subject. These get cited heavily because they answer the most specific buyer-intent prompt in the funnel. "Best for" pages — "best [category] for [ICP]". These map directly to AI prompts buyers type. Problem-led pages— "how to reduce churn," "why your sales pipeline isn't converting." These earn citations from problem-shaped queries that don't mention any tool by name yet.
The retainer ships 4 (Launch), 8 (Growth), or 16 (Authority) of these per month with the schema attached. Velocity matters here — AI engines re-crawl periodically, and a six-month run of weekly publishes builds compounding entity weight that a one-time content sprint never matches.
Step 4: Build authority surfaces
AI engines cite sources that other sources cite. That's the recursive definition of entity authority, and it's why "just write more content" only moves citation rates so far. If your brand isn't mentioned on the surfaces the AI training set already trusts, content alone won't lift you past a ceiling.
The surfaces that matter, in roughly the order we work them: G2 and Capterra reviews (volume and recency), Reddit threads in /r/SaaS, /r/[your-vertical] and adjacent subs, podcast appearances on shows your ICP listens to, comparison and listicle posts on category trade media, and structured backlinks from sites with high topical authority. Each of these gets its own playbook in the retainer.
The trap is buying authority — paid placements on questionable list-bait sites. AI engines weight earned mentions far higher than syndicated press releases. Three real Reddit answers from your founder beat a paid feature on a low-quality blog every time.
Authority tier ($6,490/mo) adds digital PR and proactive podcast booking on top of the earned-mention layer because at the $7M+ ARR stage, becoming the named authority in your category requires showing up on platforms your competitors don't — and most competitors don't do trade-media outreach at all.
Step 5: Measure again
Citation rate is the metric that moves first. We track it weekly, per engine and per priority prompt. By the end of month 3 on a Growth-tier engagement, citation rate on the top 25 priority prompts has typically moved 15–35 points. By month 6 most clients are top-3 cited on the prompts that matter and top-1 on a few.
AI-referred traffic in your analytics is the lagging indicator. It moves at month 2–3 once the AI engines have re-indexed the new content and earned mentions have compounded. The traffic looks small in absolute terms (ChatGPT sends roughly 1% of clicks compared to Google's 29%), but it converts at roughly 2x — partly because the buyer was already pre-qualified by the AI engine's recommendation, partly because they've seen your name in a context where you were positioned as the answer.
AI-influenced pipeline is the metric your CEO actually wants. It shows up in your CRM at month 3–4 once attribution is wired in. We tag opportunities where the buyer reports first-touch from an AI engine, or where the post-sale survey surfaces it. Industry data shows 8–22% of new-customer revenue can be tagged AI-influenced within 12 months of a focused program. The first time this gets reported in a board deck is the moment GEO stops being a question.
Why this works
The method is repeatable because it's sequenced. Step 1 tells you what to do. Step 2 tells you what to do first. Steps 3 and 4 are the work. Step 5 closes the loop and tells you whether the work is paying off — every week.
Most agencies skip steps 1 and 2 because they don't have the tooling. They sell content production by the page and call it "GEO included." Most tools (Otterly, Peec, Profound) do step 1 well, but stop there. Authority is the only productized service that runs all five steps end-to-end at the $1–10M ARR price point. That's the wedge.
What you can do today
- Run your free Shortlist Score — 10 prompts, 2 engines, ~2 minutes. Free.
- If your score is below 30, the issue is almost certainly coverage and authority. Start with the audit — full 200-prompt diagnostic.
- If your score is 30–60, the issue is usually inconsistent placement. The audit will tell you which engines and prompts to focus on first.
- If your score is above 60, you're competitive but not yet top-1. The audit identifies which competitor mentions are pulling you off the lead spot.
Either implement the method yourself, or hire us to. Either is fine — we publish this in full because the method works whether or not you pay us, and the harder thing to copy is execution velocity, not the playbook.