AI Search Consultancy

AI Search Optimisation

Your buyers are already asking ChatGPT, Google AI Overviews, Perplexity and Bing Copilot to research suppliers and shortlist services. I'm Yassine Essaadi, an independent AI SEO consultant, and I help UK SMEs, B2B companies and ecommerce brands make their existing content, authority and technical foundations easier for AI systems to find, understand and reference — without starting your SEO from scratch.

Yassine Essaadi - Independent SEO Consultant

Independent SEO consultant: Yassine Essaadi

AI search audits • Content and technical optimisation • Transparent reporting

AI search visibility audits
ChatGPT SEO and Google AI Overviews / AI Mode
Content and entity clarity for AI discovery
Technical access for AI crawlers and structured data
Tailored strategy • Transparent reporting • Practical implementation

Illustrative audit workflow

How I sample AI answers

Illustration, not client results
ChatGPT Search
Sample buyer prompts, note cited sources
Sampled
Google AI Overviews and AI Mode
Check which pages and sources are referenced
Checked
Perplexity
Compare cited sources with competitors
Compared
Copilot and Gemini
Review brand description accuracy
Reviewed

Why this matters: AI answers vary between sessions and platforms, so I sample repeatedly and report trends rather than promises.

Strategic Importance

Why AI Search Visibility Matters for Businesses

Buyers now ask ChatGPT, Google AI Overviews, Perplexity and Bing Copilot to research suppliers, compare options and shortlist services. Being named or referenced in an AI answer shapes buyer consideration before anyone visits a site. As an independent SEO consultant, my goal is helping you earn the right enquiries, measured alongside normal SEO.

01

Early-stage research

Discovery & evaluation

Buyers now ask ChatGPT, Google AI Overviews, Perplexity and Bing Copilot to explore solutions and map out options. Being clearly understood and referenced during this initial fact-finding phase shapes shortlist consideration well before a prospect clicks through to any website. Building sound technical SEO foundations and structured explanations makes your expertise straightforward for retrieval engines to read and extract.
Clear, factual content helps conversational engines understand your core capabilities during early buyer research.
02

Supplier and product comparisons

Evaluation & selection

When buyers prompt AI systems to compare features, platforms or suppliers, models synthesize answers from across indexed pages and web sources. For online stores and brand catalogues, aligning product data and topical depth through targeted Ecommerce SEO helps AI engines accurately summarize your specifications, pricing approach and key differences.
Structured product information and honest comparison content assist AI tools when summarizing options.
03

Local and professional shortlists

Credible recommendations

Decision-makers frequently use conversational queries to shortlist specialist service providers and technical consultancies. Combining verified entity details with targeted B2B SEO & Lead Generation makes it straightforward for AI engines to identify your sector credentials, service scope and geographical coverage when generating recommendations.
Consistent business entities and credible service details support discovery during commercial shortlisting.
04

Beyond Google

Cross-platform discovery

Search habits are extending across ChatGPT Search, Perplexity and Google AI Overviews alongside regular organic results. Starting with an in-depth SEO audit, I assess how your brand is represented across these surfaces to help you earn qualified enquiries rather than chasing traffic volume at any cost.
Optimising for clarity across answer surfaces complements your organic rankings and focuses on high-intent enquiries.

Ready to evaluate your AI search visibility?

Review how your brand is understood by answer engines, strengthen clear entity foundations, or plan a tailored international SEO strategy.

Search Landscape Breakdown

What Is AI Search Optimisation?

These are overlapping views of one job, not separate budgets.

AI Search Optimisation defined.

AI Search Optimisation is the practice of improving visibility, accuracy and relevance across AI-powered search and answer engines, such as ChatGPT, Google AI Overviews, Perplexity and others. It works by making your site and brand easy for AI systems to find, understand and reference when answering real buyer questions. It builds directly on traditional technical SEO foundations—including crawlability, content quality, authority and technical health.

LLM optimisation.

LLM optimisation examines how content is structured so large language models can read, verify and reference it during retrieval. Clear factual statements, explicit definitions and clean document hierarchy make extraction reliable.

AI SEO.

The term is used loosely in the industry and often means using AI tools to produce content. I use it to mean SEO work for AI search, not AI-written content.

Answer engine optimisation (AEO).

Clear question-and-answer content for surfaces that give direct answers: featured snippets, voice search, and Perplexity-style answer engines that pull specific passages.

Generative engine optimisation (GEO).

The broadest umbrella: making your brand a credible source when generative tools summarise the web. As an independent SEO consultant, I help ensure your core propositions are clear and verifiable.

What I avoid.

Not hacks such as llms.txt tricks or attempts to manipulate models; these are unreliable and often short-lived. Nobody can promise inclusion in an AI answer or in model training data.

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Strategic scope

AI Search Optimisation vs Traditional SEO

They are not rivals; AI search work extends SEO rather than replacing it. Both disciplines work together to build comprehensive visibility across search engine result pages and conversational answer engines.

Established Foundation
Traditional SEO

Rank individual pages to earn direct organic clicks.

Primary objective

Aims to rank pages in results and earn clicks across commercial and informational queries, from local visibility to comprehensive National SEO campaigns.

Measurement & metrics

Judged by rankings, impressions, clicks, and organic enquiries through established analytics and search console data.

Core pillars

Built on crawlability, relevance, content quality, links, and rigorous technical SEO health, using well-understood reporting frameworks.

Generative Layer
AI Search Optimisation

Make your brand clear, retrieved, and cited in generative answers.

Primary objective

Aims for your brand and pages to be understood, retrieved and, where appropriate, cited inside generated answers across answer engines and assistants.

Measurement & metrics

Judged by sampled mentions, cited sources, referral traffic where available, and enquiries. Reporting is directional because outputs vary between sessions.

Core pillars

Adds focused attention to answer-ready content, clear entity architecture, and external credibility across trusted reference points and knowledge nodes.

What stays the same across both approaches

AI engines still rely heavily on organic web discovery. Foundational SEO best practices remain as critical as ever:

Crawlability

Crawlable, indexable pages that search spiders can access without blockers.

Helpful Content

Original, helpful content that answers real buyer questions thoroughly.

Authority

Authority, genuine citations, and external trust signals that prove expertise.

Technical Health

Sound technical architecture, semantic HTML, and structured markup.

Traditional rankings no longer imply AI visibility, but remain an important baseline.

Honest note: No work can guarantee a place in AI answers. My focus is on making your content, technical foundations, and brand data as clear and authoritative as possible so models can easily retrieve and reference you.

Platform Comparison

ChatGPT, Google AI and Perplexity: How Each Platform Differs

Platforms differ in how they crawl, retrieve, summarise and cite, so I test prompts across several platforms for your niche instead of assuming one universal rule.

01
ChatGPT SEO and ChatGPT Search

ChatGPT uses web retrieval to ground answers. Crucially, retrieval and citation are separate steps: many pages are retrieved during generation, but fewer are selected for cited source links.

Practical foundations

  • Key pages must be publicly accessible (not blocked by robots.txt or logins, crawlable by OpenAI's search crawler).
  • Content should answer questions buyers actually ask in short, clear paragraphs.
  • Brand details (services, coverage, credentials) must be straightforward to parse.
  • Claims should be supported by dates and named sources. Third-party references (reviews, directories, media mentions) can also matter.
No consultant can promise consistent ChatGPT citations; the same prompt can produce different sources in different sessions.
02
Google AI Overviews and AI Mode

These features sit directly within Google Search, using Google's index and core ranking systems alongside a generative layer. Supporting citation links are drawn straight from indexed results.

Practical foundations

  • Crawlability, indexability, topical relevance, and helpful people-first content (E-E-A-T principles) remain the core base.
  • Answering queries clearly near the top of the page assists both snippet extraction and overview synthesis.
  • Ensuring technical integrity through technical SEO and periodic SEO audits removes crawl obstacles.
  • Structured data helps interpretation, but there is no special “AI Overview schema” that guarantees selection.
Google AI Overviews build on organic search rankings; strong traditional SEO remains the foundation.
03
Perplexity, Bing Copilot and other platforms

Perplexity-style engines show several citations per answer and lean heavily on well-structured, current, and credible sources.

Practical foundations

  • Bing Copilot relies on Bing's index, meaning solid technical SEO and content quality directly carry over.
  • Some generative tools draw on curated niche sources (directories, trade publications, product feeds), so keeping those accurate matters.
  • Clear dates, author attribution, and source citations give models confidence when synthesising current comparisons.
Active multi-engine monitoring helps identify which platforms naturally cite your brand and where gaps exist.

Cross-platform insight

What earns a mention on one platform may differ on another; stronger clarity, technical health and credible mentions tend to help traditional SEO and AI discovery together.

Core GEO Methodology

Generative Engine Optimisation Strategy

GEO is making a business a clear, credible source when AI systems summarise the web. It amplifies existing SEO foundations and cannot compensate for weak products, poor reviews or thin content. Because some GEO tactics are still experimental, I treat them as hypotheses to test, not rules.

01

Pillar 01 • Crawl & Rendering Architecture

Technical access for AI crawlers
AI answer engines must be able to discover, crawl, render, and interpret your public pages before they can evaluate your brand. This starts with clean technical SEO foundations.
Practical checklist:
  • Crawlability and indexability, complete sitemaps, clean URLs, and no accidental noindex directives
  • Thoughtful robots.txt configuration so legitimate AI crawlers can reach public pages
  • Self-referential and clean canonical tags to prevent ambiguous indexing
  • Server-side or pre-rendered essential content where heavy JavaScript frameworks hide text
  • Semantic HTML tags and a logical heading structure for natural reading flows
  • Structured data for organisation, services, FAQs, articles, and local business entities
  • Fast mobile performance and accessible responsive layouts
Please note: Structured data clarifies meaning and relationships for models, but does not guarantee AI citation or inclusion.
02

Pillar 02 • Answer-Ready Information

Content optimised for AI discovery
Generative models summarise the web by identifying concise, well-evidenced answers to real search queries. Writing with clarity and structure enables systems to understand your core expertise directly.
Practical checklist:
  • Answer-focused pages that address buyer questions directly near the top of the content
  • Clear, specific explanations rather than vague marketing rhetoric or generic claims
  • Direct coverage of real buyer-intent questions, including comparisons, pricing approaches, and considerations
  • Original expertise drawn from real business experience and proven working processes
  • Accurate, dated, and referenced information that machines and humans can verify
  • Useful, targeted FAQ blocks addressing specific buyer hesitations
  • Balanced, honest comparisons that respect user search intent
Please note: Mass-produced low-quality AI articles are counterproductive; every page needs editorial review. Most gains for SMEs come from structure and clarity, not volume.
03

Pillar 03 • External Verification

Brand entity and credibility
Large language models do not evaluate pages in total isolation. They cross-reference names, services, and third-party context to understand whether an organisation is an established, trustworthy source.
Practical checklist:
  • Consistent business name, address, phone, and service descriptions across the site, Google Business Profile, and directories
  • Clear organisation and About page content explicitly detailing who I serve and what I do
  • Credible third-party mentions, industry references, and relevant editorial links across the web
  • Consistent author and consultant profiles establishing verified subject-matter background
Please note: These signals help systems describe a brand accurately and aid discoverability, but they are not guaranteed ranking factors — authority is one factor among many.
Target audience

Who AI search optimisation is for

I help businesses whose prospective customers use generative tools alongside search engines to research solutions, compare providers, and make purchasing decisions.

B2B and SaaS

Buyers use AI tools to shortlist suppliers. I focus on comparison questions, feature breakdowns, pricing transparency, and compliance context so AI systems understand how your service compares.

Ecommerce brands

AI can surface products, buying guides, and category pages for recommendation-style questions. I align product descriptions, category hubs, FAQs, technical specifications, and genuine review data.

UK SMEs and growth businesses

Most gains for SMEs come from restructuring and clarifying existing content before creating new material, fixing technical crawl barriers, and making core service information clear.

Local and professional services

AI models look for consistent local business data, customer reviews, and clear service-area definitions across directories and websites to recommend regional providers.

Who does the work

AI search strategy, audits and recommendations are written and led by me, Yassine Essaadi, an independent SEO consultant. I explain what I find in plain language, agree priorities with you, and either hand over implementation notes for your developers and writers or support the work hands-on, depending on scope.

If you are considering hiring an SEO consultant, you work with me directly at every stage.

Process

My Five-Stage AI Search Optimisation Process

My process is flexible and adapted to your scope, budget and current SEO maturity. No fixed rankings, citations or timelines are promised; the focus is on clear, methodical improvements that support both AI discovery and traditional search.

Stage 1Step 01 of 05

AI Search Visibility Audit

A stakeholder call on your business model, commercial priorities and target locations, followed by sampling how your brand appears across AI tools.

Key Actions:
  • Sample AI answers across ChatGPT, Google AI Overviews and AI Mode, Perplexity and Copilot with prompts real buyers would ask
  • Baseline screenshots, prompt logs, initial content review and technical crawlability checks
  • Sampled brand appearances, cited sources, competitor mentions and crawl or rendering checks
Deliverable:Concise findings document with prioritised risks and quick wins
Consultancy Standards

How I work through each stage

Every step is designed to give you actionable clarity and practical priorities rather than confusing technical jargon.

Plain-English reporting that explains what the findings mean for your business
Recommendations tied to your commercial goals and available internal capacity
No guaranteed rankings or citations — realistic, evidence-based guidance
01
AI Search Visibility Audit
02
Search Intent and Competitor Research
03
Technical and Content Optimisation
04
Brand Authority and Discoverability
05
Monitoring and Refinement
Auditing & Tracking

AI Search Visibility Audit and Measurement

Effective AI search optimisation relies on methodical auditing and transparent, realistic tracking. I evaluate where your brand currently appears in generative answers and establish an honest framework to measure progress over time.

Scope & Analysis
What my AI visibility audit covers

This is delivered as a standalone engagement, similar in structure to my comprehensive SEO audits, ending in a prioritised action plan for your team or developers.

Audit deliverables and evaluation areas:
  • Brand appearances in sampled AI answers across ChatGPT, Google AI Overviews / AI Mode, Perplexity, Copilot and any niche tool relevant to your sector
  • Commercially relevant prompts that mirror how real buyers research solutions
  • Competitor visibility analysis showing which brands appear and which sources support them
  • Content and topical gap assessment across core service and decision pages
  • Technical accessibility checks for crawler access, rendering, and robots directives
  • Brand and entity consistency across your site, directories, and third-party profiles
  • Existing referral traffic and qualified enquiries attributable to AI where data exists
Outcome: A clear, prioritised roadmap identifying which content, technical barriers, and authority gaps need attention first.
Tracking & Reality
How I measure progress, and the limits

I report on practical signals and business outcomes while being direct about what AI search analytics can and cannot show.

Signals I monitor over time:
  • Referral traffic from identifiable AI sources where standard referrers or campaign UTM parameters exist
  • Qualified enquiries, inbound telephone calls, and consultation bookings
  • Traditional organic search metrics (impressions, clicks, rankings) acting as the underlying baseline
  • Sampled AI answer mentions, captured with prompt logs and screenshots over time
  • Competitor visibility snapshots demonstrating relative movement across target prompts
  • Completed technical, structured data, and content clarity improvements
Tracking limits: AI tools often send no standard referral data, and outputs vary between sessions. I use repeated sampling and trend observation rather than single screenshots. Findings are directional intelligence, not precise analytics.
Direct Freelance Consultancy

AI search optimisation investment options

I do not offer generic or one-size-fits-all packages. Every project begins with understanding your specific market position, technical foundation, and real search landscape. If you also need a broader organic review, explore my comprehensive SEO audit before starting.

AI Search Audit

Getting Started

For businesses wanting clarity on how AI engines currently discover and cite their brand.
£497

Starting from / one-time investment

What is included:
  • AI visibility assessment across ChatGPT, Google AI Mode, Perplexity, Claude, and Copilot
  • Analysis of current brand mentions and citations in AI responses
  • Entity footprint evaluation and structured data review
  • Competitor AI visibility benchmarking
  • Prioritised action plan with clear technical and content recommendations
Most popular
Complete AI Optimisation

Full Implementation

For businesses ready to execute a full strategy to improve AI citation readiness.
£997

Starting from / month (3 or 6-month terms)

What is included:
  • Everything included in the AI Search Audit
  • Content optimisation structured specifically for AI model extraction
  • Advanced schema markup and entity graph implementation
  • Technical improvements for AI crawler accessibility and indexing
  • Entity expansion across trusted citation sources and knowledge nodes
  • Monthly AI visibility tracking, citation checks, and direct progress reviews
AI Search Consultation

Ongoing Partnership

For established businesses needing bespoke ongoing guidance as AI search models evolve.
Bespoke

Tailored monthly advisory retainer

What is included:
  • Continuous monitoring of brand visibility across emerging AI search tools
  • Strategic roadmap updates responding to major AI search algorithm shifts
  • Ongoing authority building and brand co-occurrence recommendations
  • Quarterly visibility reports with deep competitive benchmarking
  • Direct, priority access to me via private communication channel

Honest approach: AI search models constantly update their knowledge sources. I do not promise guaranteed citations or rankings. My work focuses on building verified technical authority, clear entity signals, and citation readiness to give your brand the strongest possible visibility.

Unsure which option matches your stage?

Let us review your current AI search footprint

Book a direct, no-obligation consultation with me. We will inspect how your brand currently appears in generative search results and discuss the right next step.

Book a Free SEO Consultation
AI Search Strategy & FAQs

Frequently Asked Questions About AI Search Optimisation

Honest, forward-thinking perspectives from an independent SEO consultant. Understand how AI search affects your traffic, rankings, and sustainable business growth.

AI Search Collaboration

Questions about your own situation? Talk it through with me.

Transparent AI & organic visibility roadmaps
No guaranteed rankings or citations
Direct consultant communication via call & email

Have a specific AI search query?

Email me directly at contact@ye-consultancy.com

AI search optimisation is the practice of improving how easily AI-powered search and answer tools, such as ChatGPT, Google AI Overviews, Perplexity and Bing Copilot, can find, understand and reference your business. It builds on traditional SEO foundations such as crawlability, helpful content, authority and technical health, then adds attention to answer-ready content, clear brand information and how your business is described across the web.

— Free consultations available

TalktomeaboutAISearchOptimisation.

If you would like to know how your business appears in ChatGPT, Google AI Overviews and Perplexity today, we can talk it through. I will look at where you stand, explain what is realistic and suggest sensible next steps.

No obligation. I do not promise guaranteed citations or rankings.