AI SEARCH · GEO / AEO
⚡10 AI AGENTS · 24/7
Agency expert in positioning in AI search engines ChatGPT, Perplexity, Claude, Gemini and AI Overviews.
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) integrated within the same content strategy. We audit which sectoral prompts trigger citation, prioritize by query volume and execute with full traceability. 10 AI Agents monitor citations across 6 LLMs 24/7 under senior human oversight.
6
LLMs monitored
2,400+
Prompts watched
20 years
In search engines
LIVE · Search AI Ecosystem
--:--:--
LLM citations (24h)
0
Prompts with visibility
0
Active AI Overviews
0
AI share of voice
0
ChatGPT · +24%
Perplexity · +19%
Claude · +15%
Gemini · +22%
MADRID · SaaS B2B · ChatGPT cites +1466%BARCELONA · Legal · 124 Claude citesVALENCIA · Fintech · AI traffic +2140%BILBAO · Industrial · Copilot mentions +1540%SEVILLE · Healthtech · AI SOV 18.4%LISBON · EdTech · 134 visible promptsMALAGA · E-commerce · 68 AI OverviewsZARAGOZA · Services · Perplexity top-3MADRID · SaaS B2B · ChatGPT cites +1466%BARCELONA · Legal · 124 Claude citesVALENCIA · Fintech · AI traffic +2140%BILBAO · Industrial · Copilot mentions +1540%SEVILLE · Healthtech · AI SOV 18.4%LISBON · EdTech · 134 visible promptsMALAGA · E-commerce · 68 AI OverviewsZARAGOZA · Services · Perplexity top-3
AI search engines monitored
ChatGPT
Perplexity
Claude
Gemini
Google AI Overviews
Bing Chat / Copilot
You.com
Meta AI
Mistral
DeepSeek
Grok
Kimi
Poe
Qwen
Doubao
ChatGPT
Perplexity
Claude
Gemini
Google AI Overviews
Bing Chat / Copilot
You.com
Meta AI
Mistral
DeepSeek
Grok
Kimi
Poe
Qwen
Doubao
01 · MANIFESTO · SEARCH AI AGENCY
Search has changed. Now it answers, it doesn't list. And being cited by an LLM is worth more than a top-10 ranking.
Generative Search (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews) no longer returns 10 blue links: it returns synthesized answers with 3–5 cited sources. Appearing or not in that citation determines visibility. As a GEO/AEO expert agency, eXprimeNet approaches AI search positioning as its own discipline: entity architecture, citable topical authority, machine-readable formats (lists, tables, definitions), verifiable E-E-A-T signals, and an AI Agents layer monitoring citations 24/7 across sectoral prompts. All under senior human oversight.
02 · SEARCH AI WORK LAYERS
Seven layers. One single system. GEO, AEO, entities and citable authority.
As a full-service SearchIA agency, we operate every generative visibility lever: semantic understanding of sectoral prompts, entity architecture, machine-first citable content, verifiable E-E-A-T authority, structural signals, LLM monitoring and consolidated data. Priority selection responds to the real behavior of each generative engine.
CHATGPT
OpenAI SearchGPT + ChatGPT Search
ChatGPT · SearchGPT · Bing Search API · Custom GPTs · Assistants API
The engine with the largest qualified query volume. Prioritizing appearance as a cited source in sectoral prompt responses generates highly converted direct traffic.
AI applied
Daily monitoring of citations by prompt. Content engineering for direct response, citable formats and E-E-A-T validation. Iterative optimization by vertical.
PERPLEXITY
Perplexity AI · Pro & Enterprise
Perplexity · Perplexity Pro · Spaces · Enterprise · API
Conversational search with explicit citations. The most transparent regarding sources. High technical and B2B traffic. Optimizing citable formats is a priority here.
AI applied
Continuous tracking of citations by sectoral prompt. Analysis of source ranking per query and prioritization of citable content by vertical.
GOOGLE
Google AI Overviews + Gemini
Google AI Overviews · Gemini · Bard legacy · Search Generative Experience
AI Overviews appear above organic SERPs. Being a cited source reduces CTR of lower positions. Direct impact on consolidated organic traffic.
AI applied
SGE + AI Overviews monitoring by sectoral keyword. Correlation with organic position and detection of citation opportunities by intent.
CLAUDE
Anthropic Claude
Claude.ai · Claude Projects · API · Artifacts
Reference LLM in corporate environments due to its safety approach. High penetration in B2B, professional services and technology. Less volume but higher qualification.
AI applied
Monitoring citations in Claude by vertical prompt. Content engineering aligned with Claude's reasoning style (more structured and cautious).
BING · COPILOT
Microsoft Copilot + Bing Chat
Bing · Copilot · Copilot Pro · Copilot for Microsoft 365
Integrated into Windows, Edge, Office 365. Relevant corporate volume in Europe. Cited sources with direct link. Strategy complementary to Google.
AI applied
Tracking citations in Copilot by sectoral query. Optimization of structured metadata and authority signals recognized by the Bing engine.
META AI · GROK
Meta AI + X Grok
Meta AI · Instagram AI · WhatsApp AI · Grok · X
Emerging engines with massive social integration. Citation behaviors still unstable, but growing volume in consumer, entertainment and news.
AI applied
Experimental monitoring of citations and emerging pattern analysis. Contained strategy until citation behaviors consolidate.
ENTITIES · GRAPHS
Knowledge graphs and entity graphs
Wikidata · Wikipedia · Google Knowledge Graph · schema.org · InLinks
LLMs learn entities. Existing as a recognized entity (person, brand, organization, product) is a prerequisite for being properly cited by them.
AI applied
Client entity audit across public graphs. Creation/consolidation of Wikidata nodes, sameAs, Organization schema and cross-source consistency.
03 · CASES BY SECTOR × AI ENGINE
Real visibility measured in LLM citations and converted traffic.
Illustrative data by sector and generative engine. By confidentiality agreement, identities are not disclosed. Figures representative of the usual improvement range after 90–180 days of structured GEO/AEO strategy.
Sector
Engine
KPI
Before
After
Δ
Period
SaaS B2B
ChatGPT + Perplexity
LLM citations
3/wk
47/wk
+1466%
150 days
Professional services
Perplexity + Claude
Prompts with visibility
12
186
+1450%
120 days
E-commerce electronics
Google AI Overviews
Active AI Overviews
4
68
+1600%
180 days
Fintech
ChatGPT + Copilot
AI direct traffic
89/mo
2,140/mo
+2304%
150 days
Legal
Claude + Perplexity
Weighted citations
7
124
+1671%
120 days
Health · Healthtech
ChatGPT + Google AI
AI share of voice
2.1%
18.4%
+776%
180 days
EdTech
Perplexity + ChatGPT
Qualified prompts
8
134
+1575%
150 days
Industrial B2B
Claude + Copilot
Response mentions
5/wk
82/wk
+1540%
180 days
Representative cases · Illustrative, do not identify specific clients
04 · EXTENDED CASE · SAAS B2B
From 3 to 47 weekly citations in ChatGPT and Perplexity. Tracked week by week.
Real timeline of a GEO intervention on an active project. Data anonymized by confidentiality agreement. Figures representative of the typical improvement range in Search AI operations with similar diagnostics.
LLM citations/wk
3
→
Citations at 150 days
47/wk
AI direct traffic
+2140%
Prompts with visibility
12 → 186
D-0
LLM citation audit
Sweep of 2,400 sectoral prompts across ChatGPT, Perplexity, Claude, Gemini, Copilot and AI Overviews. Absence of citation detected in 98% of relevant prompts and no Wikidata entity present.
D-14
Entity consolidation
Creation/editing of Wikidata node, Wikipedia (where editorially applicable), Organization schema with cross-platform sameAs. NAP consistency and verifiable credentials.
D-30
Citable content refactor
Rewrite of 47 pillar pages with machine-readable structure: canonical definitions upfront, comparison tables, exhaustive lists and Q&A blocks by intent.
D-60
Topical authority and E-E-A-T
Publication under real author with verifiable credentials (LinkedIn, publications, interviews). Sectoral digital PR + backlinks from media that LLMs already cite as sources.
D-120
Iterative optimization by LLM
Differential adjustment per engine: in Perplexity, tables and lists reinforced; in Claude, reasoning structure; in ChatGPT, canonical definitions and examples.
D-150
Consolidated result
Weekly citations +1466%. Prompts with visibility +1450%. AI direct traffic +2140%. Operation enters continuous regime with 24/7 monitoring by AI Agents.
05 · VERTICAL SECTORS
Each sector, its dominant AI engine.
Users choose generative engine by intent. B2B favors Perplexity and Claude; consumer, ChatGPT and AI Overviews; corporate, Copilot. GEO strategy must adapt to the engines the sector buyer persona actually uses.
S
SaaS · B2B
Dominant enginePerplexity · Claude · ChatGPT
Canonical definitions · Tabulated comparisons · Topical authority across categories · Backlinks from cited technical media.
E
E-commerce
Dominant engineChatGPT · AI Overviews · Gemini
Product schema · Structured FAQ · Verified reviews · Product comparisons · Brand authority.
P
Professional services
Dominant enginePerplexity · Claude
Strong E-E-A-T authority · Author schema · Citable case studies · Indexed sectoral publications.
F
Fintech · Insurance
Dominant engineChatGPT · Copilot · AI Overviews
YMYL content with compliance · Regulatory definitions · Transparent comparisons · Author + Organization schema.
H
Health · Healthtech
Dominant enginePerplexity · ChatGPT · Google AI
YMYL content with MedlinePlus · Verifiable medical author · MedicalOrganization schema · Citable academic sources.
L
Legal
Dominant engineClaude · Perplexity
Legal E-E-A-T authority · Chartered lawyer author · LegalService schema · Citable cases without identifying client.
D
Education · EdTech
Dominant enginePerplexity · ChatGPT
Course schema · Academic author · Institutional authority · Structured curricular content.
I
Industrial · B2B
Dominant engineClaude · Copilot · Perplexity
Technical Product schema · Indexed whitepapers · Sectoral authority · Backlinks from industrial media.
06 · METHOD
Five phases. One single Search AI process.
01
LLM citation audit
Sweep of 500–3,000 sectoral prompts across 6 generative engines. Citation gaps, missing entities, competitor sources and response patterns per engine detected.
02
GEO/AEO strategic plan
Definition of priority prompts by query volume, engine and buyer persona. Quarterly roadmap with entity, citable content and E-E-A-T authority milestones.
03
Entity consolidation
Wikidata node, Wikipedia (when applicable), Organization schema, Author schema, cross-source sameAs. NAP consistency and verifiable credentials.
04
Machine-readable content
Rewrite of pillar pages with canonical definitions upfront, comparison tables, exhaustive lists, Q&A blocks and contextual JSON-LD structure.
05
LLM monitoring and reporting
Continuous citation surveillance by prompt, engine and competitor. Dashboard with AI share of voice, direct LLM traffic and evolution vs. competition.
07 · ONBOARDING · 14 DAYS
From signature to cruising regime in two weeks.
The Search AI startup process is designed to minimize operational friction and prioritize citation quick-wins. Executed in parallel to any existing SEO operation, complementing it.
D-1
Kickoff · Discovery
Session with business lead. Definition of the sectoral prompt universe, priority engines by buyer persona and reference competitors.
D-2/4
Citation audit
Initial sweep of 500–3,000 prompts across 6 engines. Analysis of gaps, missing entities, competitor sources and LLM patterns. Prioritized findings document.
D-5/7
GEO/AEO strategic plan
Quarterly roadmap, prompt prioritization by return, KPIs per engine, entity consolidation plan and machine-readable editorial structure.
D-8/10
Entity quick-wins
Wikidata registration/editing, Organization schema, Author schema, cross-source sameAs. Refactor of key pages with citable format (definitions, tables, lists).
D-11/13
First publication
Refresh of 5 pillar pages with maximum citation probability. Configuration of monitoring AI agents with agreed thresholds and initial prompts.
D-14
Cruising regime
Continuous operation. Weekly committee established. 10 AI Agents monitoring citations 24/7. Active iterative optimization per engine and prompt.
08 · TRANSVERSAL CAPABILITIES
Prompt engineering is not enough.
A modern Search AI ecosystem requires senior editorial content, entity engineering, integration with classic SEO and analytics consolidation. The whole set is operated by the same team.
GEO/AEO strategy
Definition of the Search AI role within the full funnel. Prioritization by expected return, KPIs per engine and revisable quarterly roadmap.
Entity engineering
Consolidation of Wikidata nodes, Wikipedia, Organization schema, Author schema, sameAs and cross-source coherence. Foundation for solid LLM citation.
Machine-first editorial content
Specialized writers with citable format: canonical definitions, tables, lists, Q&A. E-E-A-T validation with verifiable real author.
Digital PR and authority
Backlinks from media that LLMs already cite as sources. Digital PR on sectoral publications with consolidated topical authority.
Integration with classic SEO
Search AI strategy is coordinated with organic SEO (see /en/seo/). They do not compete: they reinforce each other in the same editorial layer.
Reporting and BI
Looker Studio dashboards with citations per engine, AI share of voice, direct LLM traffic, evolution vs. competition and entity health.
09 · AI APPLIED TO SEARCH AI
Five layers. Always with human oversight.
Artificial intelligence does not replace the GEO team: it amplifies its capacity for prompt analysis, machine-readable editorial generation and engine prioritization. Each layer operates under defined protocols.
LAYER 01
Data
Ingestion of LLM citations by prompt, engine and date. Unification with Search Console, GA4 and proprietary systems. Anomaly detection per engine.
LAYER 02
Prediction
Citation propensity models per prompt and engine. Estimation of potential AI traffic and detection of low-effort/high-return opportunities.
LAYER 03
Generation
Editorial assistance: canonical definitions, comparison tables, Q&A blocks, structured data. Human validation prior to publication.
LAYER 04
Optimization
Automatic rebalancing per engine. Detection of best-performing citable fragments and opportunistic refresh of content declining in LLM.
LAYER 05
Explainability
Every algorithmic recommendation documented. No production change is applied without review by the responsible human team.
10 · AI AGENTS · OPERATING 24/7
Ten AI Agents specialized in Generative Search operating in every managed GEO/AEO project.
Modern Search AI management requires more than periodic citation audits. eXprimeNet deploys on every project a squad of AI Agents specialized in GEO/AEO: autonomous programs with defined objectives, bounded operational limits and their own escalation protocols. Each agent covers a critical function of the generative visibility cycle, operates 24/7, and all their critical actions require approval from the human team responsible for the project.
GEO-01
AI AGENT
Prompt Scanner
Daily sweep of sectoral prompts
Fires 2,400+ prompts daily across ChatGPT, Perplexity, Claude, Gemini, Copilot and Google AI Overviews. Records which sources are cited and detects sudden changes in source ranking.
Operates in
ChatGPT · Perplexity · Claude · Gemini · Copilot · AI Overviews
GEO-02
AI AGENT
Citation Tracker
Weighted citation tracking
Counts client citations per engine and prompt, weighted by query volume and estimated CTR. Alerts on sudden drops or displacement by competitors.
Operates in
Multi-LLM · proprietary scoring systems
GEO-03
AI AGENT
Entity Guardian
Wikidata + schema node surveillance
Monitors integrity of Wikidata, Organization schema, Author schema and cross-source sameAs. Alerts on external edits, coherence breaks or loss of key properties.
Operates in
Wikidata · Wikipedia · Google KG · schema.org
GEO-04
AI AGENT
Answer Optimizer
Citable content refresh
Detects citable fragments (definitions, tables, lists) losing LLM visibility and proposes rewriting. Human editorial team approves and edits before publishing.
Operates in
GSC · Multi-LLM · SurferSEO · proprietary
GEO-05
AI AGENT
Schema Generator AI
Continuous contextual JSON-LD
Generates and maintains structured data aligned with what LLMs consume (Product, FAQPage, Article, Organization, Person, HowTo). Continuous validation against Rich Results Test.
Operates in
Schema.org · GSC · Rich Results Test · CMS
GEO-06
AI AGENT
Competitor Radar LLM
Competing source surveillance
Detects which domains are capturing citations in prompts where the client aspires to appear. Analyzes why they are cited and prioritizes recovery actions.
Operates in
Multi-LLM · Ahrefs · Sistrix · proprietary
GEO-07
AI AGENT
AI Overview Watcher
SGE + AI Overviews surveillance
Tracks appearance of AI Overviews in Google by sectoral keyword. Correlates with organic ranking and detects citation opportunities by search intent.
Operates in
Google AI Overviews · SGE · GSC · Ahrefs
GEO-08
AI AGENT
Author Authority Bot
Author E-E-A-T authority
Monitors credentials, external publications and sameAs presence of client's authors. Prioritizes reinforcement actions (mentions, publications, interviews).
Operates in
LinkedIn · Google Scholar · sameAs graph · proprietary
GEO-09
AI AGENT
Prompt Volume Estimator
Prompt volume and priority
Estimates LLM query volume per sectoral prompt (Google proxy + LLM behavior heuristics). Prioritizes prompts with the highest qualified potential traffic.
Operates in
GSC · Ahrefs · Similarweb · proprietary
GEO-10
AI AGENT
Hallucination Guard
LLM factual error detection
Detects when an LLM cites the client attributing incorrect data (prices, dates, figures, attributions). Prioritizes source correction and entity update.
Operates in
Multi-LLM · fact-checking · proprietary
10
GEO agents in production
24/7
Continuous surveillance
6 LLMs
Engines monitored
100%
Under human oversight
11 · AI GOVERNANCE
GEO automation, yes. Autonomy without control, no.
GEO agents act within a governance framework defined with the client. No automation publishes, edits entities or marks content without human criteria. AI proposes, the team disposes.
01
Mandatory human approval
No agent edits Wikidata, publishes content, updates schema or modifies entities in production without approval from the assigned GEO manager.
02
Defined operational limits
Each agent operates within bounded thresholds: maximum daily edits, untouchable entities, protected prompts. Out of range it is blocked.
03
Full traceability
Every algorithmic action is logged: which engine queried, with which prompt, what was detected, what was recommended, who approved. Exportable audit.
04
Client data protected
The client's data (sectoral prompts, historical citations, private content) does not feed shared third-party models. Restricted to the project.
05
Mandatory editorial review
All content generated or expanded by AI passes human editorial control by specialized writer before publication. No exceptions.
06
Required explainability
Every recommendation is accompanied by quantitative reasoning (prompt volume, citation probability, expected share of voice). Without justification, not applied.
12 · OPERATIONAL DIFFERENTIAL
What changes when operating Search AI with eXprimeNet.
Objective capability comparison between a standard Search AI operation (in-house, freelance or generic agency) and the eXprimeNet management model.
Dimension
Standard operation
With eXprimeNet
LLM monitoring
✕Manual, ad-hoc or nonexistent
✓Prompt Scanner 24/7 · 6 engines · 2,400+ prompts
Entities
✕No Wikidata · incomplete schema
✓Active Entity Guardian · cross-source consolidation
Citable content
✕Generic · no machine-first format
✓Answer Optimizer + canonical definitions + tables
AI Overviews (Google)
✕Not monitored
✓AI Overview Watcher · correlation with SERP
Author authority
✕Authors without verifiable credentials
✓Author Authority Bot · consolidated E-E-A-T
Prompt prioritization
✕Intuition or list without volume
✓Prompt Volume Estimator · quantified return
Competition
✕No visibility into rival sources
✓Competitor Radar LLM · which domains capture cites
LLM factual errors
✕Discovered late or via complaint
✓Hallucination Guard · proactive detection and fix
13 · FREQUENTLY ASKED QUESTIONS
Common doubts before hiring Search AI.
What is the difference between SEO and GEO/AEO?+
Classic SEO optimizes for SERPs with 10 links (Google, Bing). GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) optimize for synthesized responses in ChatGPT, Perplexity, Claude, Gemini and AI Overviews. They share signals (authority, E-E-A-T, structured data) but differ in editorial format and entity prioritization. Operated as complementary, not exclusive, strategies.
Which generative search engines do you position on?+
We operate on the six main ones: ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Gemini + AI Overviews (Google), Copilot + Bing Chat (Microsoft), and emerging engines like Meta AI and Grok. Each has different citation patterns and all are monitored daily.
How long does Search AI take to deliver results?+
The first new citations usually appear between 30 and 60 days from the editorial refactor. Structural AI share-of-voice results consolidate between month 3 and month 6, with cumulative growth thereafter as we consolidate entity and authority.
Can citation in ChatGPT or Perplexity be guaranteed?+
No. LLMs are probabilistic systems with non-deterministic behavior. What can be guaranteed is documented methodology, traceable execution, agreed KPIs and transparent weekly reporting with evolution measured per prompt and engine.
Do I need to have organic SEO working before investing in GEO?+
Recommended but not mandatory. LLMs lean on classic SEO signals (backlinks, authority, structured data) to choose sources, so a solid SEO base accelerates GEO. You can start in parallel, or operate SEO and GEO as a single integrated service (see /en/seo/).
How do you measure whether my brand actually appears in LLMs?+
With Prompt Scanner: daily sweep of 500–3,000 sectoral prompts across 6 engines, recording which sources are literally cited. We count number of citations, weighting by prompt volume and share of voice vs. competition. All data is exportable.
What exactly are the "AI Agents" operating the project?+
Autonomous programs specialized in a specific function of the GEO cycle: prompt sweeping, citation tracking, entity surveillance, citable content refresh, schema generation, competition surveillance, AI Overviews monitoring, author authority, volume estimation and factual error detection. They operate 24/7 within limits defined with the client and all their critical actions require human approval before execution.
Do you also handle editorial content?+
Yes. We operate entity engineering, machine-first editorial content (canonical definitions, comparison tables, Q&A blocks) and digital PR from the same team. Senior human editors with data-driven briefs under verifiable real author.
How do you measure real ROI of Search AI?+
With an attribution model that combines direct AI traffic (referrers from ChatGPT, Perplexity, Claude, etc.), citations weighted by prompt volume, AI share of voice vs. competition and correlation with leads/revenue in the client CRM. The final KPI is agreed with the business lead.
NEXT STEP
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