Answer Engine Optimization (AEO) is the practice of optimizing brand content so it is selected and cited by AI answer engines — ChatGPT, Gemini, Perplexity, Grok. Unlike classic SEO that targets Google rankings, AEO targets direct recommendation by AI.

How fast will I see results?

Beware of anyone promising overnight AI rankings. A realistic timeline: weeks 1–4 for the audit and baseline, months 2–3 for technical and content foundations, first measurable AI citations around months 2–3, stronger positions on key queries around months 4–6, and durable, compounding authority over 6–12 months. Every step is tracked with per-prompt KPIs: presence, position, share of voice, sentiment.

What does sector exclusivity mean?

We work with one brand per sector and per market. Your direct competitors cannot become our clients during your engagement.

What is your guarantee?

It is a continuation-of-work guarantee, not a refund. At kickoff we define, in writing, a set of strategic queries and measurable AI-presence objectives, tracked over the engagement period on an agreed multi-LLM monitoring tool. If those objectives are not reached, we keep executing at no additional fee until they are. It applies when the client implements our recommendations, provides timely access (site, CMS, analytics) and validates content and PR on the agreed schedule — and it naturally excludes events outside anyone’s control, such as major model or algorithm changes, a brand-reputation crisis, or a change of scope.

What is GEO (Generative Engine Optimization)?

GEO (Generative Engine Optimization) is the practice of optimizing a brand’s content, entities and third-party citations so generative AI engines feature it in the answers, syntheses and comparisons they generate. At The Hills Agency, GEO also covers geolocation SEO: dominating local and “near me” searches on Google, Maps and AI assistants.

What is AIO (AI Optimization)?

AIO (AI Optimization) is the umbrella term for all disciplines that make a brand visible, cited and recommended by artificial intelligence: AEO for direct answers, GEO for generated contexts and local search, and AI-First SEO for generative search results. The Hills Agency covers the full AIO spectrum.

What is the difference between AEO and traditional SEO?

SEO optimizes for a list of ten blue links; AEO optimizes for a single spoken or written answer. SEO targets keywords; AEO targets questions and entities. SEO success is a ranking; AEO success is being cited and recommended by ChatGPT, Gemini, Perplexity and AI Overviews. The two are complementary — strong SEO foundations feed AEO performance.

How do AI engines choose which brands to cite?

AI engines cite brands that are unambiguous entities (consistent naming, schema markup, knowledge graph presence), that publish extractable answer-ready content, and — crucially — that are mentioned by trusted third-party sources: press, industry rankings, review platforms, Wikipedia. Roughly two thirds of AI citations come from sources you do not own. That is why authority and citation engineering are at the core of our method.

How do you measure AI visibility?

We track four families of KPIs: citation frequency (how often each AI engine cites you on your strategic queries), share of voice versus competitors, AI crawler activity on your site (server-log monitoring of GPTBot, ClaudeBot, PerplexityBot), and business impact — AI-driven sessions attributed through to your CRM and revenue. Everything is reported in a monthly multi-LLM dashboard.

Do you also optimize local and “near me” search?

Yes — geolocation SEO is an integral part of our GEO offering. We optimize your Google Business Profile, build consistent local citations and listings, structure your reviews strategy and create market-specific landing architecture, so you win both classic local searches and the local recommendations given by AI assistants.

Do AI Overviews and ChatGPT kill my website traffic?

Zero-click answers do reduce raw clicks — but the traffic that remains converts far better, because the AI has already pre-qualified and pre-sold the visitor. The real risk is not losing clicks: it is being absent from the answer while a competitor is recommended. AEO shifts the goal from “ranking for clicks” to “being the recommendation”.

Which AI engines do you optimize for?

ChatGPT (and its search mode), Google Gemini and AI Overviews / AI Mode, Perplexity, Claude, Microsoft Copilot and Grok. Each engine retrieves and cites differently — Perplexity leans on fresh web sources, ChatGPT on Bing’s index and its training data, Google on its own ecosystem — so we track and optimize each one separately.

Do I still need traditional SEO if I invest in AEO/GEO?

Yes — they compound. AI engines retrieve heavily from pages that already rank well: strong SEO is the foundation AI visibility is built on. But SEO alone is no longer enough, because LLMs synthesize answers from multiple sources and cite brands, not just links. We run both as one program: technical SEO + entity work + answer-ready content + citation building.

What is llms.txt and do I need it?

llms.txt is a plain-text file at the root of your site that gives AI crawlers a curated, structured summary of who you are, what you offer and which pages matter. Combined with schema.org structured data, clean robots.txt directives for AI crawlers (GPTBot, ClaudeBot, PerplexityBot) and an XML sitemap, it maximizes the chance that AI engines understand and represent your brand correctly. We deploy and maintain it for every client — and on our own site.

How much do Reddit, reviews and UGC matter for AI visibility?

Enormously. LLMs weigh authentic community signals — Reddit threads, review platforms, forums, comparison discussions — heavily when deciding which brands to recommend, because they read them as unbiased opinion. A brand absent from these conversations rarely gets cited. We build an authentic, compliant presence in the communities and review ecosystems each engine retrieves from.

Can you guarantee first place in AI answers?

No one can honestly guarantee a specific position — AI answers vary by user, phrasing, session and model version. What we do guarantee: a rigorous methodology, transparent per-prompt KPIs (presence rate, average position, share of voice, sentiment), monthly reporting, and sector exclusivity so we never work for your competitors. Our track record across luxury, health, SaaS and hospitality shows what the method consistently delivers.

What does an AEO/GEO audit include?

Four deliverables: (1) a strategic prompt pool segmented by funnel stage (TOFU/MOFU/BOFU) with your T0 baseline on every KPI; (2) a technical audit — AI crawler access, schema.org, llms.txt, extractability of your key pages; (3) a source-ecosystem map showing which publications, communities and databases each AI engine cites in your category; (4) a prioritized action plan with realistic timelines and expected impact.

What is the A.N.S.W.E.R. Protocol™?

It is our proprietary method, reverse-engineered from how large language models actually decide which brands to cite. It works across six layers: Authority Graph (making you an unambiguous entity), Narrative Corpus (owned answer-ready content), Source Consensus (independent third-party citations — press, rankings, Reddit, reviews), Web-Retrieval Readiness (freshness, llms.txt, AI-crawler access for RAG engines), Extractable Structure (machine-liftable formatting), and a Reinforcement Loop (continuous monitoring and re-injection). Because it covers every mechanism an LLM uses to build an answer — not just content or links — there is no blind spot for a competitor to exploit.

How exactly do you measure AI share of voice?

We define a fixed pool of strategic prompts (typically 50–150) segmented by funnel stage, then run them on a set schedule across each engine — ChatGPT, Gemini, AI Overviews, Perplexity, Claude, Copilot, Grok — using a multi-LLM monitoring tool. For every prompt we log whether your brand is present, in which position, with what sentiment, and which competitors appear alongside you. Share of voice is then your share of brand mentions across that prompt pool versus your named competitors, tracked over time against your T0 baseline. Because AI answers vary by user and session, we sample repeatedly and report averages with the raw prompt-level data — never a single cherry-picked screenshot.

Back to the journal

Mesure

AI SEO KPIs: What You Should Really Track

Darrell Mbow — September 28, 2025

In short: in the AI era, KPIs evolve: beyond rankings and traffic, you track citation rate, AI share of voice, sentiment and presence per engine.

Continuing to steer visibility solely with Google rankings is like watching the road in the rear-view mirror. New indicators are needed.

The limits of classic KPIs

Rankings, clicks, sessions: these metrics remain useful, but they ignore a growing share of activity — searches resolved directly by an AI, with no click. Falling traffic may even mask rising influence.

The new AI SEO KPIs

Citation rate: how often your brand appears in AI answers.
AI share of voice: your presence relative to competitors across a prompt pool.
Position in the answer: are you cited first, or last?
Sentiment: how the AI talks about you (praising, neutral, reserved).
Coverage per engine: your visibility on ChatGPT, Gemini, Perplexity, etc.

Connecting KPIs to actions

A good dashboard does not just display numbers: it links each change to an action taken (an article, a press mention, a technical improvement). This link is what makes the approach manageable.

Transparency as a requirement

Credible KPIs rest on raw, inspectable data, prompt by prompt. Beware a single, opaque “score”: it must always be decomposable and verifiable.

The vanity-metric trap

Being cited on prompts with no buying intent flatters the ego but creates no value. Focus measurement on the questions that precede a decision — the ones that matter commercially.

Takeaway: what is not measured cannot be managed. In the AI era, share of voice and sentiment become as important as yesterday’s rankings.