[SEO AI / GEO]

Being cited by AI engines is the new frontier of visibility

We plan Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) strategies to position your brand in search engines based on generative AI — Google AI Overviews, ChatGPT Search, Perplexity, Claude, Copilot, and Gemini. We work on structured content, thematic authority, and trust signals that LLMs recognize as citable sources. One goal only: to transform AI engines from a threat to traditional organic traffic into a new channel of visibility, authority, and consideration along the purchase funnel.

Main Objectives

01
CITATION OBJECTIVES IN AI ENGINES
- Appear as a cited source in responses from Google AI Overviews, ChatGPT, Perplexity, Claude, and Copilot
- Increase the frequency of brand citation on informational, commercial, and branded queries in the sector
- Build an authority profile recognizable by LLMs with signals of expertise, experience, and trust
- Monitor AI queries where the brand is already cited, where it is absent, and where competitors occupy the space
02
CONTENT STRUCTURING OBJECTIVES FOR LLM
- Structure content with concise direct answers in the first lines to facilitate extraction by LLMs
- Implement complete Schema.org structured data on FAQ, How-To, Article, Product, and Organization
- Build FAQ sections, definitions, and comparative tables with high informational density designed to be cited
- Optimize hierarchical titling and semantic markup to make the page easily parsable by LLM models
03
BRAND AUTHORITY AND E-E-A-T OBJECTIVES
- Build consistent and demonstrable E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
- Position authors, founders, and technicians as recognized experts with personal branding and vertical contributions
- Increase brand mentions on authoritative sources — publications, Wikipedia, vertical directories, research
- Build a recognizable entity graph that structurally connects brand, people, products, and industry
04
MULTI-PLATFORM VISIBILITY OBJECTIVES AI
- Simultaneously oversee Google AI Overviews, ChatGPT Search, Perplexity, Bing AI, and Gemini
- Adapt content and signals to the specific logic of each AI engine with platform-differentiated strategies
- Monitor the brand’s share of voice on major AI assistants with dedicated tools and periodic prompt testing
- Build coverage on long-tail conversational queries that AI engines handle better than traditional search
05
INTEGRATION OBJECTIVES WITH TRADITIONAL SEO
- Maintain strong organic ranking on Google, because LLMs continue to predominantly cite well-positioned sources
- Create content that works simultaneously for classic SEO, AI Overviews, and conversational engines
- Integrate GEO into the overall editorial strategy without multiplying content production costs
- Monitor the relationship between organic ranking, AI citations, and actual traffic from generative search engines
06
MEASUREMENT AND ATTRIBUTION OBJECTIVES
- Measure the actual traffic coming from AI engines with dedicated tracking for ChatGPT, Perplexity, and others
- Track the impact of AI citations on brand awareness, branded searches, and indirect assisted conversions
- Build AI share of voice monitoring dashboards with competitor comparison and trends over time
- Measure the decline in organic traffic due to AI Overviews and compensate with direct visibility strategies in responses

How do we work?
19ADV’s operational framework
in Performance Marketing

Briefing and definition of requirements

We analyze the business model, target audience, and reference markets — B2C, B2B, and D2C — and define concrete objectives and measurable KPIs: listens, visits, leads, awareness, and cost per acquisition.

Free diagnostic audit

If you are already investing in Spotify Ads, we analyze your account to identify issues and opportunities in campaign structure, segmentation, audiences, and audio and video creatives.

Strategy definition

We build the campaign strategy starting from the objectives not from the available formats and we define the targeting budget, mix of formats and integration with the other active channels

Production and setup

Gestiamo o coordiniamo la produzione degli asset creativi script audio voiceover e video e configuriamo le campagne su Spotify Ad Studio con tracciamento preciso degli obiettivi

Ottimizzazione continua

We monitor performance and constantly optimize exposure frequency, targeting and creativity. No campaign is left running unsupervised.

Reporting and analysis

Periodic reports with the metrics that really matter: real coverage, ad completion frequency, traffic generated and cost per result, no vanity metrics, just useful data

AI / GEO SEO Campaigns

Methodological approach

Initial audit with prompt testing on ChatGPT, Perplexity, Claude, and Google AI to map current visibility
Content restructuring of strategic pages with concise answers, FAQ markup, and complete structured data
Building the brand’s entity graph on Wikidata, Wikipedia, schema Organization, and authoritative sources
Continuous monitoring of AI share of voice with dedicated tools and standardized periodic prompt testing

AI and GEO SEO services available

GEO Audit with visibility mapping on Google AI Overviews, ChatGPT Search, Perplexity, Claude, and Copilot
Content restructuring for AI with FAQ markup, direct answers, structured data, and semantic optimization
Building brand authority for LLM with E-E-A-T, entity SEO, and structured knowledge graph
Continuous monitoring of AI share of voice with monthly reports and citation dashboard for target queries

Tracking and measurement

Dedicated GEO tools (Profound, Otterly, AthenaHQ) to monitor brand mentions on generative AI engines
Standardized and repeated prompt testing over time to measure share of voice and competitive variations
Tracking referral traffic from ChatGPT, Perplexity, Copilot in GA4 with dedicated segmentation and attribution
Correlation between AI mentions, traditional organic ranking, brand search, and assisted conversions in the funnel

Frequently Asked Questions about AI and GEO SEO

La GEO (Generative Engine Optimization) è l’insieme di tecniche per ottimizzare i contenuti perché vengano citati nelle risposte dei motori AI generativi — Google AI Overviews, ChatGPT, Perplexity, Claude, Copilot. Differisce dalla SEO tradizionale perché l’obiettivo non è più solo posizionarsi nelle SERP a 10 link blu, ma diventare una fonte citata dentro la risposta sintetica dell’AI. Cambiano i segnali, la struttura dei contenuti e le metriche di successo.

Yes, and the impact is already measurable. On informational queries resolved directly by the AI Overview, the CTR on organic results can drop by 30-60%. On transactional and commercial queries, the impact is smaller because the user still clicks through to sites to make purchases. The strategic response is not to ignore the phenomenon: it is twofold — protect the remaining traffic with AI-aware optimizations and enter AI citations to maintain visibility even within synthetic responses.

With standardized prompt testing and dedicated monitoring tools (Profound, Otterly, AthenaHQ) that periodically query AI engines on target queries and track which brands are cited as sources. We build a set of prompts relevant to the industry, repeat them over time, measure the brand’s share of voice vs competitors, and analyze trends and variations. It is structured monitoring, not anecdotal.

Combinations of domain authority in the industry, quality and structure of the content (direct answers, FAQ, semantic markup), presence of brand entities in the knowledge graph (Wikipedia, Wikidata, structured data Organization), citations from already authoritative sources and — for many engines — traditional organic ranking on Google. LLMs do not invent sources: they draw from already established patterns. Improving GEO means working simultaneously on these levels.

No, but they need to be restructured at key points. The already authoritative content works well for LLMs with targeted interventions: adding direct, concise answers in the first lines, FAQ sections with markup, citable data and statistics, high-density informative comparative tables, complete structured data. It’s content engineering, not a complete rewrite. The return comes both in AI citations and in traditional Google featured snippets.

Più rapido della SEO classica ma non immediato. Le prime citazioni su query specifiche possono arrivare in 4-12 settimane dopo le ottimizzazioni, soprattutto su Perplexity e Bing AI che hanno indici aggiornati frequentemente. Su Google AI Overviews i tempi sono più lunghi (3-6 mesi) perché legati al ranking organico tradizionale. La share of voice stabile e misurabile richiede tipicamente 6-12 mesi di lavoro strutturato su contenuti, autorità ed entity SEO.

[SEO AI / GEO]

Being cited by AI engines is the new frontier of visibility

CITATION OBJECTIVES IN AI ENGINES

CONTENT STRUCTURING OBJECTIVES FOR LLM

BRAND AUTHORITY AND E-E-A-T OBJECTIVES

MULTI-PLATFORM VISIBILITY OBJECTIVES AI

INTEGRATION OBJECTIVES WITH TRADITIONAL SEO

MEASUREMENT AND ATTRIBUTION OBJECTIVES

AI / GEO SEO Campaigns

Methodological approach

AI and GEO SEO services available

Tracking and measurement

Frequently Asked Questions about AI and GEO SEO

What exactly is GEO and how does it differ from traditional SEO?

Are AI Overviews really eroding organic traffic?

How do I know if my brand is mentioned by ChatGPT or Perplexity?

What are the signals that LLMs use to choose whom to cite?

Do I need to change all my content to optimize it for AI?

How long does it take to be cited by AI engines?