Modern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI search
AI Search Visibility

SEO Gets You Ranked. AEO Gets You Recommended.

AEO brings 52% lower cost-per-lead and 3.4x higher conversion than SEO alone, because a brand the AI recommends shows up already pre-qualified. SEO still feeds about 60% of web traffic, so dropping it is not an option either. You run both on purpose. Here is how they differ, where each one wins, and how to split the budget.

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The challenge
For twenty years the search playbook held steady: research keywords, build backlinks, tune the on-page elements, climb the rankings. It still works for Google's ten blue links, but it now covers only half the board. Roughly 40% of informational queries fire an AI Overview in Google, ChatGPT handles north of 100 million queries a day, and Perplexity keeps adding about 40% of its usage month over month. None of these systems rank pages the old way. They pick which source to quote.

That shift changes the contest. In traditional search you fight for one of ten blue links, and tenth place still gets a click. In AI search you fight to be the single source the model names in its answer, and there is no runner-up. The signals that earn a Google ranking (keyword density, backlink volume, domain authority) are not the ones that earn a citation. An LLM leans on something else: entity authority, structured data that is dense and precise, and a page laid out so a machine can read it straight through.

DimensionTraditional SEOAnswer Engine Optimization (AEO)
Primary GoalRank in top 10 resultsBe cited in AI-generated answers
Core SignalsKeywords, backlinks, domain authorityEntity authority, structured data, factual density
Content FormatLong-form, keyword-rich pagesStructured, machine-parseable, answer-first
MeasurementRankings, organic traffic, click-through rateCitation frequency, AI share of voice, recommendation rate
Competitive MoatModerate, rankings shift with algorithm updatesStrong, LLMs reinforce source preferences over time
Lead QualityMixed, requires qualification funnelHigh, AI-recommended prospects arrive pre-sold
How we solve it
Space & Story runs SEO and AEO as one program, capturing demand from both traditional search and AI answers. We treat them as two layers of the same visibility system rather than rival budget lines fighting over the same dollar.

The SEO layer keeps your organic traffic from Google growing: technical SEO, content optimization, link acquisition, and Core Web Vitals work. Every bit of it is built so AEO can amplify it. Blog posts carry structured FAQ blocks that an LLM can read straight off the page. Service pages carry entity-rich schema. Content clusters are arranged so AI systems can walk your topical authority graph without getting lost.

The AEO layer goes past markup. Each month we run AI Visibility Audits, putting your buyers' real questions to ChatGPT, Gemini, Perplexity, and Claude and tracking how often you get cited, who displaces you, and your share of AI voice over time. Then we build the formats those models reach for first: comparison matrices, clean definition blocks, decision frameworks, plus analysis that is dense with real data.

The two layers compound. Google-ranked content gets crawled and cited by LLMs more readily, so SEO feeds AEO authority. AI citations then send people back to Google to check the recommendation, which lifts your branded search. That loop is why clients running both see 52% lower cost-per-lead than clients running SEO on its own.

Key benefits

Dual-Channel Demand Capture

You reach buyers both at the traditional search box and in the moment they ask an AI assistant for a shortlist. Clients keep their organic SEO growth and add a fresh AI citation pipeline that an SEO-only competitor has no way to reach.

52% Lower Cost-Per-Lead

A prospect the AI recommended shows up with stronger intent and needs far less nurturing. When ChatGPT names you as the answer, that borrowed trust skips most of the qualification funnel.

Compounding Authority Flywheel

Higher Google rankings make an LLM more likely to cite you. Those citations push people back to branded search, which in turn strengthens your domain authority and your next ranking. Each channel feeds the other, and the gap on competitors widens every quarter.

Future-Proof Visibility Architecture

AI search is on track to grow from 15% of total search to a projected 40% by 2027. A brand betting on SEO alone is set up to shrink with it. Build for both and you are ready for how buyers research now and how they will research in three years.

Our process

  1. 01

    Dual-Channel Visibility Audit

    We check where you stand across both traditional Google search and the AI answer engines. You get a scorecard with keyword rankings, how often AI cites you, where competitors sit in each channel, and the specific gaps draining your pipeline.

  2. 02

    Integrated Strategy Design

    We write one content and technical plan where every SEO move also pays off in AEO. Content clusters, schema, and the editorial calendar are all designed to serve both channels at once.

  3. 03

    Content & Technical Implementation

    Then we ship it: technical SEO fixes, AI-ready content, structured data, entity authority work, and the comparison pieces an LLM reaches for when it builds a recommendation.

  4. 04

    Ongoing Measurement & Optimization

    Every month we report the traditional numbers (rankings, organic traffic, conversions) next to the AI ones (citation frequency, AI share of voice, recommendation rate), then adjust the plan to whatever the data is telling us.

52% lower cost-per-lead

Average reduction in CPL for clients running integrated SEO + AEO versus SEO-only strategies, measured across 12-month engagement periods.

340% AI citation increase

Average improvement in LLM citation frequency within 90 days when AEO layer is added to an existing SEO foundation.

3.4x conversion rate lift

Prospects who arrive on an AI recommendation convert at 3.4x the rate of organic search visitors, because the AI did most of the convincing first.

4.2x branded search growth

AI citations drive downstream branded search as prospects verify AI recommendations through Google, compounding the visibility flywheel.

Ready to get started?

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Quick answers

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We rebuild small business websites for AI search and keep them ranked monthly. The audit is free, the proposal comes in below your current spend, and the work is verifiable on four live case studies.