David Morris
Optimising David Morris’ digital footprint with impactful, multi-faceted SEO
●Get recommended by AI
AI SEO services to help your brand become more recommended in platforms like ChatGPT, Google Gemini and Perplexity.
Trusted by leading ecommerce brands






Get mentioned more in AI search with our AI SEO services. We help you adapt to the fast-changing world of AI search and put your brand in a position to be recommended more by ChatGPT, Google Gemini and Perplexity.
Get AI Search Ready

Search has changed. A lot of your customers are passing through the top of the funnel with AI tools like ChatGPT, Perplexity and Google's AI Overviews rather than through traditional search. Most brands don't have a clue about whether they're even being mentioned.
We're an AI SEO agency built for ecommerce. We help ecommerce brands stay visible across both traditional search for transactional keywords and AI search/LLMs for the more tech-savvy segments of your audience.
Combining proven technical SEO fundamentals with newer Generative Engine Optimisation (GEO) strategies, we help you become cited, recommended and purchased from.
Get in touch today and we'll prepare a free AI readiness audit to show you how well you're currently set up for this new frontier of product discovery.
Helping your products get discovered by customers browsing using ChatGPT, Perplexity and Google AI Overviews.
Google's AI Overviews now sit above the traditional results for a growing share of commercial searches, and the citations inside them follow a different ranking logic to the blue links beneath. We restructure your product, category and content pages to be quoted, cited and linked inside AI Overviews — capturing visibility in the answer box itself, not just position one beneath it.
Traditional keyword research misses the conversational, multi-step queries customers now put to LLMs. We use AI tooling to surface the questions, comparisons and decision-making prompts your audience is actually asking, then map those prompts to the content gaps on your site that are costing you AI search visibility.
Most brands have no visibility into whether ChatGPT, Perplexity and Gemini mention them when customers ask for product recommendations. We track how your brand currently performs across the major LLMs, benchmark you against competitors, and build the content, schema and external signals needed to move you from invisible to recommended.
GEO is the discipline of making your brand the answer that LLMs choose to give. We build a long-term strategy that aligns your content architecture, entity signals, brand mentions and authority sources with how generative engines actually retrieve and cite information — turning AI search from a threat into a discovery channel you own.
Each AI search engine pulls from a different mix of sources, weights citations differently, and surfaces brands using different signals. Our audits map your current visibility across all three platforms, identify exactly which queries you're missing, and produce a prioritised roadmap of the changes that will move the needle on each one.
We combine traditional technical SEO auditing with AI tooling that crawls, classifies and prioritises issues at a depth manual audits can't match. The result is a faster, more thorough technical audit that identifies the crawlability, rendering and indexation issues affecting both Google rankings and AI engine retrieval.
LLMs and AI search engines rely heavily on structured data to understand what your pages are, what you sell, and whether you're a credible source worth citing. We implement and extend the schema markup that matters for AI search — Product, Organization, FAQPage, HowTo, Review and the newer entity-based schemas — making your store machine-readable in the language AI engines actually parse.
Google and LLMs both think about the web in terms of entities — people, brands, products, places — and the relationships between them. We optimise your pages around the entities that matter for your category, building the topical authority signals that make your brand a recognised, trusted answer across both traditional and AI search.
Google's AI Overviews now sit above the traditional results for a growing share of commercial searches, and the citations inside them follow a different ranking logic to the blue links beneath. We restructure your product, category and content pages to be quoted, cited and linked inside AI Overviews — capturing visibility in the answer box itself, not just position one beneath it.
Each AI search engine pulls from a different mix of sources, weights citations differently, and surfaces brands using different signals. Our audits map your current visibility across all three platforms, identify exactly which queries you're missing, and produce a prioritised roadmap of the changes that will move the needle on each one.
Traditional keyword research misses the conversational, multi-step queries customers now put to LLMs. We use AI tooling to surface the questions, comparisons and decision-making prompts your audience is actually asking, then map those prompts to the content gaps on your site that are costing you AI search visibility.
We combine traditional technical SEO auditing with AI tooling that crawls, classifies and prioritises issues at a depth manual audits can't match. The result is a faster, more thorough technical audit that identifies the crawlability, rendering and indexation issues affecting both Google rankings and AI engine retrieval.
Most brands have no visibility into whether ChatGPT, Perplexity and Gemini mention them when customers ask for product recommendations. We track how your brand currently performs across the major LLMs, benchmark you against competitors, and build the content, schema and external signals needed to move you from invisible to recommended.
LLMs and AI search engines rely heavily on structured data to understand what your pages are, what you sell, and whether you're a credible source worth citing. We implement and extend the schema markup that matters for AI search — Product, Organization, FAQPage, HowTo, Review and the newer entity-based schemas — making your store machine-readable in the language AI engines actually parse.
GEO is the discipline of making your brand the answer that LLMs choose to give. We build a long-term strategy that aligns your content architecture, entity signals, brand mentions and authority sources with how generative engines actually retrieve and cite information — turning AI search from a threat into a discovery channel you own.
Google and LLMs both think about the web in terms of entities — people, brands, products, places — and the relationships between them. We optimise your pages around the entities that matter for your category, building the topical authority signals that make your brand a recognised, trusted answer across both traditional and AI search.
Google's AI Overviews now sit above the traditional results for a growing share of commercial searches, and the citations inside them follow a different ranking logic to the blue links beneath. We restructure your product, category and content pages to be quoted, cited and linked inside AI Overviews — capturing visibility in the answer box itself, not just position one beneath it.
Most brands have no visibility into whether ChatGPT, Perplexity and Gemini mention them when customers ask for product recommendations. We track how your brand currently performs across the major LLMs, benchmark you against competitors, and build the content, schema and external signals needed to move you from invisible to recommended.
Each AI search engine pulls from a different mix of sources, weights citations differently, and surfaces brands using different signals. Our audits map your current visibility across all three platforms, identify exactly which queries you're missing, and produce a prioritised roadmap of the changes that will move the needle on each one.
LLMs and AI search engines rely heavily on structured data to understand what your pages are, what you sell, and whether you're a credible source worth citing. We implement and extend the schema markup that matters for AI search — Product, Organization, FAQPage, HowTo, Review and the newer entity-based schemas — making your store machine-readable in the language AI engines actually parse.
Traditional keyword research misses the conversational, multi-step queries customers now put to LLMs. We use AI tooling to surface the questions, comparisons and decision-making prompts your audience is actually asking, then map those prompts to the content gaps on your site that are costing you AI search visibility.
GEO is the discipline of making your brand the answer that LLMs choose to give. We build a long-term strategy that aligns your content architecture, entity signals, brand mentions and authority sources with how generative engines actually retrieve and cite information — turning AI search from a threat into a discovery channel you own.
We combine traditional technical SEO auditing with AI tooling that crawls, classifies and prioritises issues at a depth manual audits can't match. The result is a faster, more thorough technical audit that identifies the crawlability, rendering and indexation issues affecting both Google rankings and AI engine retrieval.
Google and LLMs both think about the web in terms of entities — people, brands, products, places — and the relationships between them. We optimise your pages around the entities that matter for your category, building the topical authority signals that make your brand a recognised, trusted answer across both traditional and AI search.
At Imaginaire, you don't have one person working on your AI SEO campaign, you have a team of people dedicated to increasing your mentions across ChatGPT, Google Gemini and Perplexity.
An SEO strategist will oversee your account and steer overall strategy, they're supported by content writers and linkbuilders to add all the ingredients to your site that will help it become mentioned more in AI search.
This pod structure is what helps us deliver our AI SEO/GEO services with consistent quality and in responsiveness to an incredibly fast moving marketing channel.



Too much retained time with agencies is spent on trying to work out what SEOs should do. We changed that by adding a technology layer that presents key tasks and opportunities to our strategists, shifting the focus into execution.
Our tool connects directly into Google Search Console to find traditional SEO wins and queries AI platforms to find out when and how you're mentioned.
We also benchmark your performance in AI SEO against your competitors.
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Regular SEO is about ranking in Google's blue-link results. AI SEO is about getting your brand cited, mentioned and recommended inside ChatGPT, Perplexity, Gemini and Google AI Overviews, which weight signals differently and pull from different sources. There's plenty of overlap (good technical foundations, structured data and topical authority help both), but AI SEO adds things like LLM citation tracking, entity optimisation and Generative Engine Optimisation that regular SEO doesn't cover. The brands winning right now are doing both at the same time.
Yes, and it's not really an either-or decision. Google still drives most of the revenue for ecommerce brands, especially on transactional and bottom-of-funnel searches where buyers know what they want. AI search is where a lot of the top-of-funnel research is happening now, but it doesn't replace the commercial intent traffic that Google brings. We run both as a single integrated programme so the work compounds rather than competing for budget.
It comes down to a few things working together. Your content needs to be clear and well-structured so LLMs can actually extract it. Your schema and entity markup needs to be in place so AI engines understand what your brand is and what you sell. You need topical authority built through content depth across the categories you want to be known for. And you need external signals like brand mentions and citations from sources LLMs trust. We benchmark where you currently sit, then work through all of those areas systematically. There's no single switch to flip. It's the combination that moves the needle.
No, and you should be wary of any agency that does. AI engines change their retrieval logic frequently. Results vary by query, user context and platform. What we can commit to is making sure your brand has every structural and content signal in place to be eligible for citation, and tracking the queries where you're appearing (or not) so we can keep improving. We're upfront about this from day one and build retainers around realistic milestones, not guarantees.
We track three things. First, AI visibility. That's how often your brand is mentioned or recommended across ChatGPT, Perplexity and Gemini for the queries that matter in your category. Second, traditional SEO performance. Rankings, organic traffic, indexed pages and Core Web Vitals all matter because Google still drives most of the revenue. Third, commercial outcomes. Organic traffic to high-intent pages, assisted conversions and revenue. We combine our own AI visibility benchmarking with Google Search Console and your analytics so you see everything in one place.
On the AI search side, you usually see early movement within four to eight weeks once the foundations are in place. That covers schema, entity signals and content restructuring. AI engines retrain and re-crawl far more often than Google, so changes show up quickly. Traditional SEO is a longer game. Meaningful ranking gains on commercial keywords typically take three to six months, with compound growth after that. We're upfront about all of this from day one and build retainers around realistic milestones, not promises.
You get a pod, not a single account manager. An AI SEO strategist owns the account and sets direction. They're supported by content writers and linkbuilders who execute the on-page, content and authority work that drives AI mentions. Everyone working on your account is a senior specialist. We don't hand work down to juniors once the contract is signed. The pod structure is what lets us deliver consistently in a channel that's moving as fast as AI search.
Three things. We benchmark how visible you currently are across ChatGPT, Perplexity and Gemini for a set of high-intent queries in your category, and compare you against your closest competitors. We check your site's technical readiness for AI search, covering schema, structured data, crawlability and entity signals. And we pick out the three to five biggest opportunities that would actually move the needle on your AI search visibility. You get a written report and a 30-minute walkthrough call. It's free, no obligation, and yours to keep whether you work with us or not.