Generative Engine Optimization That Helps AI Engines Find, Trust & Cite Your Brand

Build visibility inside ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot with a GEO strategy focused on entity clarity, answer-ready content, authority signals and measurable citation share.

  • AI visibility & citation baseline
  • Entity & contextual optimization
  • AI-readable content architecture
  • Structured data & source clarity
  • Authority & third-party citation signals
  • Prompt-set visibility monitoring
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Trusted by businesses across industries

Why Brands Disappear From AI-generated Answers

AI visibility usually breaks because engines cannot confidently retrieve, interpret or validate what a brand represents. GEO fixes those gaps systematically instead of chasing isolated prompts.

AI Systems Cannot Reliably Access the Source

GPTBot, PerplexityBot or Google-Extended blocked in robots.txt, or key content rendering client-side only. No amount of content work fixes a page a model cannot fetch and parse.

The Content Is Difficult to Extract and Summarize

Models retrieve passages, not pages. Content that only makes sense read top to bottom gives them nothing clean to lift, so they quote a competitor who answered in the first paragraph.

Authority Signals Are Too Weak or Inconsistent

Models weigh third-party consensus heavily — roundups, reviews, comparison sites, forums. If the sources a model already trusts have never mentioned you, your own site rarely carries the answer alone.

GEO Optimizes for the Answer, Not Only the Ranking

Traditional SEO helps search engines discover and rank pages. GEO goes further by shaping how generative systems interpret entities, connect claims to evidence, extract useful passages and decide which sources deserve to be referenced in an answer. The goal is accurate representation and stronger citation visibility across AI-driven research journeys.

What Our GEO Strategy Focuses On

  • Building AI visibility on crawlable, parseable, well-structured foundations
  • Engineering crawler access, rendering and schema so models can read your pages
  • Developing answer-first content models can lift a clean, complete response from
  • Integrating prompt-set tracking, GA4 and CRM into one AI visibility picture
  • Supporting local, national, ecommerce and enterprise brands alike
  • Ensuring white-hat methods, Search Essentials compliance and data protection standards
AI citation dashboard showing brand mention share across ChatGPT, Gemini and AI Overviews

Proven Results, Delivered At Scale

Placeholder metrics — replace with verified AptenTech data before launch.

250+
Projects delivered
120+
Global clients
10+
Years of experience
95%
Client retention
60+
Technology experts
18+
Countries served

Generative Engine Optimization Services We Deliver

We start by measuring how your brand appears across a defined set of buyer prompts, then improve the technical, content, entity and authority signals that influence AI interpretation and citation.

AI Visibility Audit & GEO Strategy

The starting point: which of your queries now trigger AI answers, whether you are cited or skipped, who is being cited instead, and what it would take to change that. You get the findings and the roadmap whether or not you continue with us.

  • AI Overview coverage by query
  • Citation share versus competitors
  • Prompt-set testing across LLMs
  • Zero-click exposure assessment
  • Content and entity gap analysis
  • Prioritised GEO roadmap

Want to Know How AI Engines Currently See Your Brand?

Share your domain and the questions your buyers actually ask. We’ll benchmark your visibility across major AI platforms, identify competing sources, and map the highest-impact GEO opportunities.

Talk to Our Experts
Priority GEO opportunities
Citation baseline
NDA before you share anything
No obligation to continue

Recognition & Trust

Every badge links straight to the live profile, so a buyer can check the reviews themselves.

Acclaimed By the Platforms Buyers Actually Check

Before a US buyer sends an enquiry, they look AptenTech up on an independent directory. These are the profiles where our clients review us and where our work is listed — each one links straight to the live profile, so nothing here has to be taken on trust.

Read the Reviews

AI Platforms We Optimise For

Each platform retrieves, ranks and cites differently — and blocking one crawler can remove you from an entire ecosystem. These are the surfaces we baseline, optimise for and track every month.

Google AI Overviews

  • Summaries shown above organic results
  • Cites a handful of trusted sources
  • Passage-level content optimisation
  • Schema and clean extractable answers

Google AI Mode

  • Gemini-powered conversational search
  • Breaks queries into subtopics
  • Conversational and follow-up intent
  • Topical authority across a subject

ChatGPT Search

  • Pulls from search index and citations
  • Favours roundups and comparisons
  • Bing visibility still matters here
  • GPTBot crawler access required

Google Gemini

  • Multimodal and context-aware answers
  • Connected across the Google ecosystem
  • Entity clarity and intent matching
  • Strong reliance on established authority

Perplexity

  • Citation-first answer engine
  • Visible source list on every answer
  • Rewards recent, well-sourced content
  • PerplexityBot access and freshness

Microsoft Copilot

  • Built on the Bing index
  • Bing Webmaster Tools optimisation
  • Strong in workplace and B2B queries
  • Structured data and clear metadata

Claude

  • Web search with cited sources
  • Favours substantive, specific content
  • ClaudeBot access configuration
  • Accuracy and sourcing weigh heavily

Bing Search

  • Feeds several AI assistants
  • Often overlooked and low competition
  • IndexNow for fast indexation
  • Webmaster Tools diagnostics

AI Shopping & Product Surfaces

  • AI-generated product comparisons
  • Product and Offer schema
  • Review and rating consensus
  • Merchant feed accuracy

Voice & Assistant Search

  • Single-answer, no-list results
  • Natural language phrasing
  • Local and "near me" intent
  • Concise, speakable answers

Meta AI & Social Assistants

  • Answers inside social platforms
  • Brand consistency across profiles
  • Social proof and engagement signals
  • Emerging and worth monitoring

Emerging LLMs & Agents

  • New assistants and agentic browsers
  • Model-agnostic optimisation approach
  • Quarterly platform review
  • Crawler policy kept current

AI Visibility Programmes We Have Run

Swipe or use the arrows. Client names and metrics are placeholders — replace with approved case studies.

B2B SaaSEntity · Schema · Digital PRCitations

PlatformOne — AI Citation Share Programme

Problem
The brand ranked well in classic search but never appeared in AI answers for its own category. Competitors were being cited on comparison queries it should have owned.
Solution
Rebuilt entity signals and Organization schema, produced comparison and alternatives content structured for extraction, and earned placement in the roundup articles the models were already citing.
Result
Delivered measurable gains across key performance metrics.
+18%AI citation share
1.8×LLM referral sessions
2.0×Branded AI mentions
aptentech / console

PlatformOne — product interface

HealthcareSchema · E-E-A-T · ContentAI Overviews

CarePortal — AI Overview Visibility for a Clinical Group

Problem
Informational queries that once drove patient enquiries were being answered directly in AI Overviews, with the practice not cited among the sources.
Solution
Clinician-authored, answer-first content with verifiable credentials and citations, plus MedicalOrganization and FAQ schema to make authorship and expertise machine-readable.
Result
Delivered measurable gains across key performance metrics.
+22%AI Overview citations
+15%Enquiries from search
2.0×Queries cited on
aptentech / console
$ aptentech moderation --live
✓ images scanned · 42k/hr

✓ queue · 18 awaiting review

→ auto-resolved 91.4%

CarePortal — product interface

EcommerceProduct schema · Reviews · FeedsProduct answers

ShopStream — Product Visibility in AI Recommendations

Problem
AI assistants recommending products in the category consistently returned three competitors and never the client, despite comparable rankings and pricing.
Solution
Product and Offer schema corrected across the catalogue, review consensus improved on the third-party sites the models were reading, and specification content made explicit rather than implied.
Result
Delivered measurable gains across key performance metrics.
+22%Products cited by AI
+15%Assistant referral revenue
2.0×Review consensus score
aptentech / console

ShopStream — product interface

Professional servicesCrawler access · RenderingTechnical

AdvisoryOne — AI Crawler Access Remediation

Problem
The site was invisible across every AI platform. The cause was not content — robots.txt was blocking major AI crawlers and key pages rendered client-side only.
Solution
A deliberate crawler access policy, server-rendered content for key templates, llms.txt implementation and schema coverage across the site.
Result
Delivered measurable gains across key performance metrics.
+22%AI crawler requests
+15%Platforms citing the brand
320 msTime to first citation
aptentech / console

AdvisoryOne — product interface

01 / 04

What Our Clients Say

See how businesses across different industries describe their experience working with AptenTech on their digital products and technology initiatives.

“AptenTech brought clarity to the entire development process. The team understood what we wanted, communicated consistently, and delivered a product that was both polished and practical to use.”
Ryan MitchellCo-Founder, Zelvonic
Industry: SaaS & TechnologyDuration: 5 Months
“The team was responsive whenever priorities changed and always explained the available options clearly. We appreciated their attention to detail and the smooth experience from development through launch.”
Emily ParkerProduct Manager, Carestiq
Industry: Healthcare TechnologyDuration: 6 Months
“AptenTech worked closely with our team instead of simply following a specification. Their suggestions helped improve several parts of the platform, and the final delivery matched our business requirements well.”
Michael BrooksOperations Director, Fleetora Systems
Industry: Logistics & TransportationDuration: 7 Months

What a GEO Engagement Includes

These are the workstreams a GEO programme draws on, whatever the platform mix ends up being. The list exists so scope conversations start from something concrete rather than a vague monthly retainer.

AI Visibility Baseline Audit
Prompt-set Design and Monitoring
AI Overview Coverage Tracking
Competitor Citation Benchmarking
Entity Definition and Disambiguation
Organization and Person Schema
Knowledge Panel and Wikidata Signals
Author and Expert Credential Markup
Answer-first Content Restructuring

The Mechanics Behind Generative Engine Optimisation

GEO is not a checklist of tricks — it follows from how retrieval-augmented systems actually assemble an answer. The list below is what that understanding translates into in practice.

Retrieval and Citation Mechanics

AI answers are assembled from retrieved passages, not recalled from memory. Understanding what gets retrieved, chunked and cited is the difference between GEO as a discipline and GEO as a guess.

Chunk-level Content Design

Models retrieve passages, not pages. Content written so each section stands alone — with its own context, definitions and specifics — gets cited far more often than content that only makes sense read top to bottom.

Entity Graphs & Co-occurrence

Authority is inferred from how consistently your brand appears alongside a topic across the web. We build that co-occurrence deliberately rather than hoping it accumulates.

Prompt-set Visibility Testing

A defined set of prompts your buyers would realistically type, run across platforms on a schedule. It turns "are we visible in AI" from an argument into a measurement with a trend line.

AI Crawler Management

GPTBot, PerplexityBot, ClaudeBot, Google-Extended and Bingbot each behave differently. Access decisions are strategic — blocking a crawler removes you from that platform entirely, permanently.

Structured Data As Machine Reading

Schema is no longer just about rich results. It is the most reliable way to state facts about your business in a form a model can parse without ambiguity or inference.

E-E-A-T As a Citation Signal

Named authors with verifiable credentials, cited sources and original data are what separate content a model quotes from content it skips. Anonymous content is increasingly invisible.

Zero-click Measurement

When answers replace clicks, sessions understate your influence. We model impression-level visibility and assisted conversions so the value of being cited is not invisible in reporting.

Agentic Search Readiness

AI agents that browse, compare and transact on a user’s behalf are arriving. Clean structure, machine-readable pricing and unambiguous product data are what make a site usable by them.

Want to See Your Citation Share Before You Commit?

We'll build a prompt set from your real buyer questions, run it across every major AI platform, and show you the baseline — who gets cited, who gets skipped, and what would have to change.

Discuss Your AI Requirements
What the engagement produces

Standards We Work To

GEO has no certification body and plenty of noise. The standards below are the published, verifiable ones our work is held against — and the shortcuts we do not take.

Google Search Essentials
Schema.org
E-E-A-T
llms.txt
Robots exclusion protocol
White-hat only
Core Web Vitals
WCAG 2.2 AA
GDPR
DPDP Act 2023

Our GEO Process

Six connected stages. Select any stage to see what it produces.

Stage 01 of 07

Baseline Your AI Visibility

We build a prompt set your buyers would realistically use, run it across every major platform, and record where you appear, where you are skipped and who is cited instead. Without this number, nothing that follows is measurable.

Prompt setVisibility baselineCompetitor citation map

The GEO Stack We Work In

The tooling here is young and changing fast. We use what measures reliably today and re-evaluate every quarter rather than committing to one vendor’s worldview.

Google AI Overviews
Google AI Mode
ChatGPT Search
Gemini
Perplexity
Microsoft Copilot

Why Is AptenTech the Right Choice for GEO?

GEO is roughly two years old, which means the field is full of confident claims and thin evidence. The difference shows up in whether an agency measures citation share against a baseline, whether it separates what is evidenced from what is inference, and whether it will tell you when a tactic is unproven.

01

We Measure AI Visibility, We Do Not Assert It

Every engagement starts with a prompt set and a baseline citation share. If we cannot show you the number moving, we have not done the job — regardless of how good the deck looks.

02

GEO Built on SEO, Not Sold As a Replacement

A model cannot cite a page it cannot crawl, parse or trust. Anyone selling GEO as separate from technical SEO and authority building is selling you the finishing layer without the foundation.

03

Crawler Access Treated As a Strategic Decision

Blocking an AI crawler removes you from that platform completely. It is a real choice with real trade-offs on content licensing, and we walk you through it rather than defaulting either way.

04

Honest About What Nobody Knows Yet

GEO is roughly two years old. Some of it is well evidenced, some is informed inference. We tell you which is which, rather than presenting every tactic as settled science.

05

We Report on Business Outcomes, Not Just Citations

Citation share matters because it drives qualified traffic and enquiries. Reporting connects AI visibility to GA4 and your CRM, so it holds up in a budget conversation.

06

You Own Every Account and Asset

Search Console, GA4, tracking tools, prompt sets, content and data are yours from day one. If the engagement ends, you keep the measurement framework too.

GEO FAQs

The questions marketing leaders actually ask on the first call — what GEO is, whether it replaces SEO, whether to block AI crawlers, and how any of it gets measured.

GEO is the practice of optimising your website, content and wider web presence so that AI-powered search tools — Google AI Overviews and AI Mode, ChatGPT, Gemini, Perplexity and Copilot — can find, understand, trust and cite your business when answering a user question. It overlaps heavily with traditional SEO but optimises for being referenced in an answer rather than ranked in a list.

SEO optimises for ranking in a list of results. AEO — answer engine optimisation — targets direct-answer formats like featured snippets. GEO, generative engine optimisation, targets being synthesised and cited inside an AI-generated response. They share the same foundations: crawlability, clear structure, genuine expertise and third-party authority.

No — it depends on it. Models retrieve from indexed, crawlable content and weigh signals that classic SEO already builds: technical health, topical authority and reputable third-party mentions. GEO is a layer on top of SEO, and any agency selling it as a standalone replacement is overselling.

For informational queries, click-through rates have come under real pressure across the industry. Commercial and transactional queries have held up far better. The practical response is to measure your own exposure query by query rather than react to headline statistics, then shift content investment toward intents that still generate clicks while optimising for citation on the rest.

With a defined prompt set — the questions your buyers would realistically ask — run across each platform on a regular schedule. We record whether you are cited, which competitors are cited instead, and how that changes month over month, alongside AI referral traffic segmented in GA4.

It is a genuine strategic decision. Blocking GPTBot or Google-Extended protects your content from being used in training, but it also removes you from that platform’s answers — often permanently. For most businesses that trade on being found, allowing access is the right call. For publishers with licensing revenue, it may not be. We walk you through the trade-off rather than defaulting.

It is a proposed standard: a plain-text file that gives AI systems a curated, structured summary of your most important content. Adoption is still emerging and it is not yet a confirmed ranking factor anywhere. It is cheap to implement and unlikely to hurt, which is roughly how we present it — worth doing, not worth overselling.

Technical and schema fixes can produce citation changes within four to eight weeks, because crawlers revisit and re-evaluate relatively quickly. Entity and authority building takes three to six months. Anyone promising immediate AI Overview inclusion is guessing — the systems are not that predictable yet.

No. Nobody can. AI answers are generated per query and vary by user, region and session. What we commit to is measurable improvement in citation share against a baseline, and honest reporting when a platform change undoes progress — which does happen.

It depends on where your buyers are. B2B enquiries increasingly come via ChatGPT and Copilot; consumer research skews toward Google AI Overviews and Gemini; Perplexity punches above its size in technical and research-heavy categories. We baseline all of them and focus effort where your category actually shows up.

Volume without expertise hurts. Recent algorithm updates specifically target unhelpful mass-produced content, and models increasingly favour sources with verifiable authorship and original information. We use AI for research, clustering and first drafts, with subject-matter review before anything publishes.

Usually one of four things: an AI crawler is blocked, your content renders client-side and cannot be parsed, the answer is buried too deep in the page to extract cleanly, or your entity is not clearly established. The audit identifies which one applies before any work starts.

Often more than for large brands, because AI answers for local and niche queries have fewer credible sources competing. Accurate listings, genuine reviews and clear service information can put a small business into answers where bigger competitors have not bothered.

Yes, and for GEO it is usually the right first step. A paid audit gives you the visibility baseline, the diagnosis and a prioritised roadmap you own outright. If you run it in-house from there, that is a legitimate outcome.

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Let's Find Out Whether AI Is Citing You

Tell us your domain and the questions your buyers actually ask. A senior engineer reads every enquiry and replies with a point of view — not a brochure.

Reply Within One Business DayUsually the same day, from someone who can answer technical questions.
NDA on RequestSigned before you share your concept, supplier terms or commercial detail.
Idea-stage Founders WelcomeYou don't need an audit ready — a domain and a few buyer questions is enough to start.

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