Be The Business AI Recommends
Search is shifting from ten blue links to answer-first experiences. Our AI Search Optimisation service is designed to make your brand the cited source in AI results - across Google’s AI Overviews/AI Mode, Bing Copilot, Claude and Perplexity - so you’re discovered, trusted and clicked when customers ask questions that matter.
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What is AI Search Optimisation?
AI Search Optimisation (often called AEO or GEO) is the practice of earning brand mentions and source citations inside AI‑generated answers.
Instead of competing only for traditional rankings, we optimise your content, structure and authority so AI systems - like Google’s AI Overviews/AI Mode, Bing Copilot and Perplexity - select your pages as reliable sources to quote and link.
Key Surfaces We Optimise For:
- Google AI Overviews & AI Mode
Answer-first results that summarise topics and link to cited sources. - Bing Copilot
Conversational answers across Bing, Windows and Edge with source attributions. - Perplexity
An “answer engine” that heavily emphasises citations and trustworthy sources. - Claude AI
Research-focused responses that combine real-time web search with transparent citations. - Brave Search “Ask Brave” / AI Answers
Privacy-first AI answers and deep-dive responses powered by Brave Search. - Emerging ChatGPT search experiences
Prototype and integrated search features that return answers with references.
The goal is not to “game the model” but to make your expertise easy to retrieve, understand and cite – consistently.
Why AI Search Matters
AI answers now sit above or alongside traditional results -so if you are not cited, you are often not seen at all.
For brands, that means two things: protect your existing organic share and create new discovery paths through AI citations and mentions.
- Massive reach as AI results expand across countries and query types
- High trust signals when your brand is referenced as a source
- Zero-click resilience through branded visibility even when clicks are fewer
- Measurable opportunities as we track AI citations, queries and referred sessions
- Competitive advantage by securing prominent placement before rivals adapt
- Deeper intent insight from the questions and prompts that trigger your mentions
- Content reuse as AI-ready assets support SEO, PPC and sales enablement
- Risk reduction by correcting outdated or inaccurate answers about your brand
“AI features like AI Overviews and AI Mode use your content to generate answers. There’s no special markup - focus on helpful content, supported structured data, and technical best practices.”
In short: AI searches are here and growing - your brand should be in the answers.
Our AI Search Services
Full‑funnel AEO/GEO support - from audit and strategy to content, schema, entities and measurement.
AI Visibility Audit
We benchmark your current inclusion across AI Overviews, Bing Copilot, Claude and Perplexity, assess entity strength, and map quick wins and strategic gaps.
Answer‑Ready Content & IA
We restructure pages with concise summaries, question‑led sections, citations and scannable patterns (How‑To, Q&A, Definitions) that AI systems prefer.
Schema & Structured Data
We implement and validate Article, HowTo, FAQPage (where eligible), Product, Organization and LocalBusiness schema to clarify meaning and attributes.
Entity Optimisation
We strengthen brand/entity signals - consistent NAP, About/Contact, authorship, and knowledge panel‑friendly cues - to improve confidence and disambiguation.
Citation Engineering
We create highly quotable sections with primary data, original visuals and references designed to attract AI citations and journalist links.
Technical Foundations
We maintain crawlability, speed and clean HTML; configure sitemaps, canonicals and (where appropriate) IndexNow to broadcast freshness.
Measurement & Monitoring
We track AI citations and answer appearances, monitor query categories, and attribute referred traffic - alongside your traditional SEO KPIs.
Result: a durable strategy that compounds authority in both classic SEO and AI answers.
How Our AI Search Process Works
A structured, data‑led process that delivers reliable inclusion in AI answers while reinforcing traditional SEO.
Here’s how we do it:
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Discovery & Goals
We align on audiences, queries and scenarios where an AI citation would create value.
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AI Visibility Audit
We test priority queries in Google AI Overviews/AI Mode, Bing Copilot and Perplexity; review entities, schema and content patterns.
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Action Plan
A prioritised roadmap covering answer‑ready content, schema, internal linking, entities and technical upgrades.
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Implementation
We make changes or collaborate with your developers and writers using developer‑ready tickets and editorial guidelines.
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Validation
We re‑test target queries, validate schema, monitor crawl/indexing and confirm answer inclusion where applicable.
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Ongoing Optimisation
We iterate monthly/quarterly as AI features evolve, adding data assets and topics that expand your citability.
Outcome: steady growth in citations, brand mentions and attributed sessions from AI surfaces - without sacrificing classic SEO.
Recent Results
Examples of outcomes from recent AI search projects where brands needed visibility above the fold in AI answers.
Client: B2B SaaS – Cambridge
Challenge: No presence in AI answers for core queries
Solution: Entity boosts, Q&A sections, Article/HowTo schema
Result: Consistent citations in AI Overviews within priority topics; uplift in branded assisted conversions
Client: Ecommerce – Regional
Challenge: Zero-click erosion for how-to queries
Solution: Answer-ready content blocks, comparison tables, first-party data
Result: Regular mentions in Perplexity answers; increased assisted sessions from AI surfaces
Client: Professional Services – Local
Challenge: Competing with directories in AI replies
Solution: LocalBusiness/Organization schema, GBP content, reviews
Result: Verified Bing Copilot citations for service-led questions; more map interactions and local enquiries
Need to see what this could look like for your site? Request a free AI search audit and we’ll show you the gaps and gains in your visibility across AI answers.
Tools & Technology We Use for AI Search
No guesswork - just reliable signals and repeatable checks.
Our toolkit includes:
Google Search Console & Analytics
Measure organic performance, correlate answer inclusion with traffic/assists.
Perplexity & Bing Copilot checks
Track query inclusion and source attributions; monitor changes over time. (Copilot updates surface in Bing Webmaster ecosystem.)
Screaming Frog & Sitebulb
Audit internal linking, headings, metadata and content blocks used by AI to extract answers.
Schema Validators
Validate Article, HowTo, FAQPage, Product, Organization and LocalBusiness schema to clarify entities.
Ahrefs / SEMrush
Benchmark authority, topics and linkable assets that increase citability.
IndexNow (where appropriate)
Speed up discovery of updated/evergreen answers and new content.
PageSpeed Insights & Lighthouse
Maintain fast, stable pages - technical quality supports inclusion and UX.
We combine these signals with editorial standards to make your content easy to quote, verify and link.
Industries We Support
AI search is reshaping how people in Cambridge discover brands – across SaaS, professional services, healthcare, education and ecommerce. Your buyers now see conversational answers, overviews and summaries before they ever reach a results list, so you need to be present and trusted in those AI-powered moments of research.
We map the real questions your audiences ask, the assistants and AI surfaces they use, and the entities that matter in your space. Then we design a Cambridge-focused AI search strategy that aligns your content, schema and site structure with how systems like Google, Bing and specialist answer engines understand your brand and its expertise.
By combining entity work, answer-ready content and strong technical hygiene, we earn citations and coverage in AI results while reinforcing your classic SEO foundation. The result is a site that continues to rank in traditional search, appears credibly in AI answers, and keeps your brand visible and persuasive at every stage of the buying journey.
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Healthcare & Medical
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Local Trades & Services
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Education & Training
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B2B Service Providers
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Hospitality & Leisure
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Legal & Financial Services
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Property & Real Estate
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Nonprofits & Charities
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Automotive
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Franchise Businesses
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Logistics & Transport
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Public Sector & Government
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SaaS & Technology Providers
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Entertainment & Media
Local AI Search for Cambridge
AI systems often blend web results with local signals - so your Cambridge presence must be technically clean and locally credible.
We optimise for local AI visibility by:
- Reinforcing NAP consistency, LocalBusiness schema and location pages
- Structuring services and FAQs by city/area queries
- Enhancing Google Business Profile content (updates, Q&A, products/services)
- Building review signals and local citations that reinforce expertise
- Improving crawlability and internal linking across local hubs
Whether you’re in central Cambridge or across Cambridgeshire, we’ll align local content with the questions AI surfaces answer most.
Benefits of AI Search Optimisation
Protect today’s traffic and create new demand through answer-driven discovery - by positioning your brand as a trusted source whenever AI systems summarise, compare or explain topics in your market.
AI search experiences do not replace SEO - they build on it. With the right strategy, you can turn AI Overviews, assistants and answer engines into additional visibility layers that work alongside your existing rankings and campaigns.
- Earn Citations & Mentions
Be the trusted source AI systems select, quote and link to in overviews, chat responses and how-to explanations. The more consistently your content supports accurate answers, the more often your brand appears as the name behind those insights. - Build Brand Preference
Show up early in the journey – even when users don’t click straight away. Repeated exposure in AI answers helps your brand feel familiar and credible, so when people are ready to act, you are already on their shortlist. - Increase Qualified Sessions
Attract motivated visitors from answer engines and assistants who have already clarified their intent. These users arrive with better context, stronger intent and a clearer understanding of your offer, which increases the likelihood of enquiry or purchase. - Reinforce SEO
Entity clarity, logical structure and content depth improve rankings too. The same work that helps AI systems understand your expertise also supports better crawling, richer snippets and stronger organic performance in classic search results. - Future-Proof Visibility
Adapt as AI surfaces evolve without rewriting your site each time. By focusing on robust entities, structured content and reusable patterns, you can plug into new AI features and assistants as they emerge, instead of chasing every interface change.
Investing in AI search now gives you durable advantage - before your market is crowded with the same playbook and the easiest citation opportunities have already been taken.
Why Choose Doublespark for AI Search?
We combine Cambridge market knowledge with hands-on AEO/GEO execution – turning your expertise into the answers AI systems prefer to surface.
- Proven SEO foundations: Over 20 years of experience across technical, content and links, giving your AI search strategy a stable base that already works in classic SEO.
- Answer-first approach: Editorial patterns, page structures and schema designed so AI systems can confidently quote, summarise and attribute your content for key queries.
- Transparent reporting: Dashboards and updates that track AI citations, referred sessions and assisted conversions alongside rankings, traffic and leads, so you can see the full picture.
- Local expertise: Strategies tuned to Cambridge’s competitive landscape, from B2B SaaS and professional services to education, healthcare and ecommerce.
- Flexible engagement: One-off audits, focused sprints or ongoing retainers - with no long-term tie-ins, so you stay in control of budget and pace.
“Doublespark helped us appear as a cited source in AI answers for our priority topics - without losing ground in traditional search. We can now see where AI is driving visibility and enquiries, not just clicks.” - Client in Cambridgeshire
If you want your expertise to power AI answers, we will make it happen in a practical, measurable way - aligning AEO, GEO and SEO so your brand is visible wherever your customers start the conversation.
What Our Clients Are Saying
5-Star Google Reviews That Reflect Our Commitment to Excellence
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Doublespark have looked after website maintenance and hosting for osteolabs since 2021. They keep the site running smoothly, deal with updates behind the scenes, and respond quickly whenever we need support.
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most excellent people - helpful, knowledgeable and efficient.
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Gary and the team at Doublespark are brilliant, we've worked together on a lot of very different digital marketing projects over a good many years. Always good results, always a good experience.
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DoubleSpark has been a trusted partner for over a decade – first with Jansen Display and now at Urban Square. Their SEO and internet marketing work has made a real difference, helping us reach page one rankings for valuable search terms.
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We've worked with Doublespark since 2020 for website hosting and maintenance. They resolved persistent WordPress stability issues and helped us launch our WooCommerce shop. Reliable, responsive, and a great team to work with. Highly recommend!
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FAQs About Our AI Optimisation Services
What are AI Search, AEO and GEO - and why do they matter for Cambridge organisations?
AI Search is the new layer of search where large language models (LLMs) and knowledge graphs generate rich, conversational answers that sit above or alongside traditional results. Instead of returning ten blue links, the engine synthesises sources, cites trusted pages, and often resolves intent in one view. In this environment, ai search optimisation is about making your brand the obvious, credible source machines want to summarise.
AEO (Answer Engine Optimisation) concentrates on answer-readiness - structuring content, entities and evidence so a model can extract, verify and present a concise, accurate response. aeo optimisation work typically includes robust page architecture, clear question/answer sections, concise definitions, process steps, data points, and schema types like FAQPage, QAPage and HowTo.
GEO (Generative Engine Optimisation) expands that lens to the whole generative ecosystem - Google’s AI experiences, Bing/Copilot, Perplexity, and other LLM-powered assistants. With geo optimisation, you’re signalling expertise, authority and verifiability across multiple surfaces: on-site content, brand profiles, citations, and structured data that connect your entity to topics, places and people.
For Cambridge businesses, the prize is significant. Buyers in the Silicon Fen are digitally mature and time-poor; they’ll often rely on AI summaries when researching agencies, SaaS, life-science suppliers or professional services. If your pages are “answer-ready”, you’re more likely to be referenced or quoted in those overviews, which improves discovery, brand recall and assisted conversions.
A practical stack combines:
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Topic and entity mapping: define the concepts you must own (e.g., “Cambridge life-sciences marketing”, “biotech demand gen”, “university admissions consulting”, “engineering firms in CB1–CB5”).
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Evidence-rich copy: crisp definitions, short lists, tables, stats, citations and use cases that AIs can lift.
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Schema and internal linking: mark up FAQs, services, LocalBusiness, Product and Article; reinforce entity relationships with sensible cross-links.
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Reputation signals: case studies, reviews, accreditations, and media mentions that strengthen confidence scores.
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Performance hygiene: crawlability, speed and mobile stability so content gets discovered and indexed (see Technical SEO).
Finally, ai overviews optimisation recognises that Google’s AI answers tend to reward sources that are comprehensive, unambiguous and well-cited. That means addressing the query fully on a single, focused URL, using plain language, and providing references and data that a model can verify quickly.
If you’re new to this, start with an AEO-first content refresh on your highest-value service pages and add structured FAQs at the bottom (you can see how we approach this on our SEO and AI, AEO & GEO pages). From there, roll the same patterns into supporting articles, case studies and sector hubs.
How does an AI SEO agency in Cambridge approach strategy, delivery and measurement?
A strong AI SEO agency Cambridge combines classic SEO foundations with new, entity-centric workflows built for generative search. At Doublespark we begin with three parallel tracks:
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Discovery & diagnostics
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Stakeholder interviews: positioning, ICPs, sales objections, proof points.
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Data sweep: GSC, analytics, ad data, CRM, call tracking, reviews and competitor baselines.
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Entity audit: how your brand, categories, products and locations appear across knowledge graphs, directories and structured data.
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Technical scan: crawl, render, indexation, speed, Core Web Vitals and schema coverage (Technical SEO).
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Strategy & architecture
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Topic clustering driven by intent, with answer-ready formats (definitions, comparisons, step-by-step, checklists).
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AEO brief templates for writers: the exact question to answer, canonical definition, supporting evidence, tables and suggested schema.
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GEO thinking baked in: which pages deserve short, extractable facts versus narrative depth; how you’ll earn citations; which data sources to reference.
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Cambridge-specific angles - industry clusters (biotech, deep-tech, education), nearby hubs and local proof to boost relevance (Local SEO).
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Execution & iteration
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On-page refactors: headings, intros, summaries, data blocks, internal links, and FAQ sections (On-page SEO).
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Structured data rollout across services, locations, profiles and FAQs.
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Content production and Content Marketing for topical depth and PR-friendly assets (Content Marketing).
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Authority building through ethical outreach and partnerships (Off-page & Link Building).
As an AI search SEO agency Cambridge, we report beyond rankings:
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Share of source in AI-style answer panes (where observable).
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Impressions, clicks and assisted conversions from informational queries.
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Entity coverage (how completely your brand is represented for target topics and locations).
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Speed and indexation improvements post-technical fixes.
If you need a phased plan, we start with an SEO audit to size the opportunity and prioritise quick wins (SEO Audits). As an AI search SEO agency, we then build a quarterly roadmap with page refactors, new content, schema expansion and authority activity - tracked to pipeline impact, not just traffic.
What exactly is AEO optimisation and how is it different from traditional SEO
Traditional SEO centres on matching queries to documents and signalling relevance/authority. AEO optimisation adds a stricter requirement: your content must be immediately answerable. Think of it as designing pages so a model (or human) can extract the definition, the steps, the comparison, the data point and the caveats without friction.
Key elements of AEO done well:
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Question-first page structure: H1 frames the core query; H2s/H3s map sub-questions; one-sentence answer summaries appear immediately below each heading.
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Canonical definitions: set a crisp, unambiguous definition in the opening 40-60 words, then elaborate.
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Data you can quote: numbers, dates, ranges, pros/cons tables and checklists increase the chance of citation.
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Evidence & credibility: case studies, testimonials, awards, and author bios to satisfy E-E-A-T principles.
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Schema for clarity: FAQPage/QAPage/HowTo where appropriate; LocalBusiness and Service for addressable service areas; Article/BlogPosting for thought leadership.
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Internal links that teach: connect to supporting explanations and category hubs to strengthen your entity graph.
For Cambridge organisations - particularly complex B2B and research-led teams - AEO is a natural fit. Your audiences are researching niche problems; they want succinct, high-quality answers, not fluff. We pair AEO with rigorous on-page refactors and structured data to increase lift from both classic and generative search (see On-page SEO and Technical SEO).
Where aeo optimisation cambridge gets exciting is local expertise. If you serve science parks, university departments or regional SMEs, tie answers to local context: regulations, procurement norms, intake dates, travel/parking info, lab compliance, or Cambridge-specific terminology. That improves both human conversion rates and machine understanding.
To move fast, we often begin with a short-list of high-intent service pages and build answer packs (definitions, steps, costs, timelines, pitfalls, FAQs) that we can deploy consistently. We then scale to supporting articles and case studies, using shared components so AEO remains efficient and on-brand. If you’d like to see where your pages stand, request an SEO audit and we’ll benchmark answer-readiness.
What is GEO optimisation and how is it different from Local SEO?
GEO optimisation (Generative Engine Optimisation) prepares your brand to be summarised and cited by AI systems across search engines and assistants. It’s related to Local SEO but not the same. Local SEO helps you appear in map packs and localised organic results; GEO ensures your expertise is extractable, verifiable and quotable in AI-generated answers.
How they differ - and work together:
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Objective: Local SEO targets proximity and prominence for “near me” and location queries; GEO targets inclusion in AI summaries for topic-based or research queries, whether or not a map result appears.
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Signals: Local SEO leans on NAP consistency, reviews, local links and Google Business Profile. GEO leans on entity clarity, citations from authoritative sources, structured data, and answer-ready content.
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Formats: Local SEO uses location pages and service areas; GEO uses definition blocks, mini-FAQs, tables, and evidence sections that models can lift.
For geo optimisation Cambridge, we tailor the plan to the city’s buyer behaviour. That includes sector-specific angles (biotech, software, education, property), local proof (case studies from Cambridge Science Park, St John’s Innovation Centre, Biomedical Campus), and regional language that aligns with user intent. We’ll still strengthen your local footprint - reviews, listings, and location schema - by collaborating with our Local SEO team, but our GEO track will emphasise the citations and content patterns that AI systems prefer.
Practically, that means:
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Auditing where you’re already being quoted or referenced.
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Building evidence hubs (methodology pages, research summaries, glossaries) that make you a natural source.
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Using structured data to reinforce who you are, what you do, where you serve, and why you’re credible.
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Running ethical digital PR to earn mentions from publications and directories that LLMs trust (Off-page & Link Building).
When you combine Local SEO and GEO, you capture both urgent local intent and wider research-mode demand - especially valuable for service firms that sell across Cambridgeshire and nationally.
How do you optimise for Google’s AI answers and similar “overview” features?
Google’s AI experiences and other assistants look for concise, verifiable, comprehensive content from sources with clear expertise. ai overviews optimisation focuses on making your pages the easiest to quote. Core practices include:
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Put the answer first: open with a 2–3 sentence summary that resolves the query before diving into detail.
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Be unambiguous: define terms (what, who, when, cost, risks) and use consistent language and units.
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Structure the truth: steps, tables, checklists, pros/cons and short FAQs at the end of pages.
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Prove it: cite data, include real examples, show outcomes and author credentials.
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Mark it up: relevant schema (FAQPage, HowTo, Product, LocalBusiness, Service, Article) plus organisation and sameAs links.
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Load fast and render cleanly: clarity and performance remain table stakes (see Website Audits & Performance Reviews).
For ai overviews optimisation cambridge, add context that matters locally: seasonal deadlines (e.g., admissions or funding cycles), Cambridge-specific regulations or procurement processes, and examples from nearby clients. Where appropriate, draw a line between your service content and supporting assets (explainers, glossaries, calculators) so models find both the short answer and the deeper reference on your domain.
We also recommend building FAQ sections on service pages - exactly like this one. Use natural language questions customers ask and provide succinct answers with optional detail beneath. Pair that with a steady cadence of topical content via our Content Marketing programme and tighten discovery with Technical SEO. The result is a site that’s consistently quotable by AI - and useful to humans.
What should you expect from an AI search optimisation agency?
A specialist AI search optimisation agency will deliver more than keywords and backlinks. Expect a partner that:
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Maps your entity: clarifies how your brand, services, locations and people should be represented across the web and in structured data.
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Designs answerable content: page templates that prioritise definitions, steps, costs and comparisons; reusable components for speed and consistency.
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Improves technical foundations: fast, crawlable, well-structured pages with robust schema and internal link logic.
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Builds authority: outreach for legitimate mentions and links from publications LLMs trust.
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Measures what matters: assisted conversions, pipeline impact, share of source in AI-style answers, topical coverage, and entity completeness.
As an AI search optimisation agency cambridge, we align this with local realities: who your buyers are, how they research, and which proof points they need to move forward. We’ll blend SEO consultancy, SEO audits and ongoing delivery into a single roadmap, then iterate quarterly as platforms evolve. If paid media is in play, we’ll integrate learnings with your PPC team to accelerate insights and demand capture.
The outcome: greater visibility in both traditional rankings and generative answers, higher relevance to Cambridge buyers, and content that sells as well as it ranks.
What do AI search optimisation services include, and how do we tailor them to your goals?
Our AI search optimisation services are modular and outcomes-driven, so we can build the right mix for your brand, market and timelines.
Typical components include:
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Research & strategy: topic clustering, entity/knowledge-graph mapping, keyword research (Keyword Research), competitor gap analysis and opportunity sizing.
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AEO content design: definitions, processes, pricing frameworks, checklists and mini-FAQs – rolled into service pages, guides and case studies.
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Schema at scale: FAQPage, HowTo, Product, LocalBusiness, Service and Article markup with ongoing validation.
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Technical enablement: crawl/index fixes, speed improvements, internal linking and canonical hygiene (Technical SEO).
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Authority development: digital PR, partnerships and resource creation that attracts credible citations (Off-page & Link Building).
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Measurement: dashboards tracking AI-style impressions (where observable), answer citations, entity coverage, organic leads and assisted revenue.
For AI search optimisation services Cambridge, we localise pages and examples, create sector-specific assets (e.g., med-tech regulatory guides, SaaS pricing comparisons), and build location/region support where needed. Ecommerce brands can fold in Ecommerce SEO; services firms often add Content Marketing and SEO consultancy.
If you’d like to see the exact mix we’d recommend, start with a no-nonsense SEO audit or book a Zoom call.
How long does AI search optimisation take to show results, and how do you measure success?
Velocity depends on starting point, competition and resources - but Cambridge markets tend to move quickly because search volumes are concentrated and decision cycles are short. For AI search optimisation Cambridge, we usually forecast in three horizons:
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0–90 days (foundations & quick wins): fix crawl/index blockers, deploy schema, refactor top service pages with AEO patterns and add structured FAQs. Expect better indexation, faster pages, improved click-throughs and early movement on informational queries.
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3–6 months (topical coverage & authority): publish supporting explainers/case studies, deepen internal linking, and run a targeted authority campaign. Expect stronger non-brand visibility, more inclusion in AI-style answers, and rising assisted conversions.
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6–12 months (compounding effects): category leadership on key topics, durable rankings, frequent citations by AI systems, and measurable pipeline impact.
We don’t chase vanity metrics. We track:
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Assisted conversions and revenue from organic journeys.
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Share of source in AI-style answers (where measurable) and SERP features.
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Entity coverage across your priority topics and locations.
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Experience signals (speed, stability) and index health.
If you’re keen to understand timelines for your site, request a tailored SEO audit or get a quote; we’ll model realistic outcomes and the investment required.
Does AI-era optimisation help ecommerce and B2B brands equally?
Yes - though the emphasis differs. For ecommerce, AEO/GEO work surfaces product detail, availability, price, reviews and comparisons in a format that’s easy for machines to summarise and for shoppers to trust. That means better data hygiene (titles, attributes, stock), richer Product schema, and answerable buying guides and FAQs. For B2B, where Cambridge excels, it’s more about problem definition, methodology, proof and outcomes - packages that a model can quote to explain your approach accurately.
As an AI SEO agency, we tailor to your business model:
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Ecommerce: fix feed and schema issues, enrich product content, add comparison tables and buyer’s guides, and improve performance on templates (Ecommerce SEO).
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B2B/Services: build service pages with AEO sections (definitions, process, pricing ranges, timelines, risks), create sector guides and evidence hubs, and align content with sales enablement.
Both benefit from authority work that earns citations from publications LLMs trust, and both need technical excellence to ensure discovery and rendering. If you’re not sure where to start, our SEO consultancy team will map a plan that fits your goals and resources.
How do we get started with an AI search SEO agency in Cambridge?
Getting started is simple and collaborative. As an ai search seo agency cambridge, we recommend this sequence:
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Initial conversation: a short discovery call to align on goals, constraints and timeline (Book a Zoom call).
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Audit & roadmap: a tailored diagnostic across tech, content, entities and authority; we’ll prioritise quick wins and set quarterly milestones (Request an SEO audit).
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Pilot sprint (6–8 weeks): ship tangible improvements - page refactors, schema rollout, and 1-2 exemplar content pieces that demonstrate AEO/GEO impact.
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Scale: extend the patterns across your site, deepen authority and refine based on data.
We stay transparent on workload, costs and outcomes, and we integrate seamlessly with in-house teams or existing partners. If paid acquisition is part of the mix, our PPC team can coordinate tests that inform organic strategy quickly.
Ready to explore options with an ai search seo agency you can meet in person? Start at our Cambridge SEO hub, read more about us on the About page, or go straight to Get in touch.
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