Buyer prompts
Map the real questions a buyer would ask, such as "best provider for the buyer problem", then separate discovery, comparison, and validation intent.
Answer Engine Optimization and Generative Engine Optimization — making sure ChatGPT, Gemini, Perplexity, and Google AI Overviews actually cite your business when they answer buyer questions.
Tap the one that sounds like you.
Live AI visibility probes show exactly how you’re currently cited, then entity clarity and structured data are sharpened so platforms can confidently cite you.
The audit shows real citation gaps against your priority buyer questions before you commit budget.
Use this as a quick decision check before investing time, budget, or team attention into the next move.
This section belongs to AI Search Optimization: the parent AEO/GEO service intent. It defines the reusable audit model that location, industry, and approved triple-combination pages can adapt without copying the same broad service copy everywhere.
Map the real questions a buyer would ask, such as "best provider for the buyer problem", then separate discovery, comparison, and validation intent.
Check where ChatGPT, Gemini, Perplexity, and AI Overviews mention the business, skip it, or cite a competitor instead.
Review entity clarity, schema, answer-first service content, FAQs, reviews, and trusted external mentions so the page gives AI crawlers facts they can extract confidently.
A measured AI visibility baseline and a prioritized plan for improving citation readiness.
HGM's AI work is packaged around practical handoffs: reporting, response speed, CRM routing, content operations, AI search visibility, and reputation support. No public package tiers, no mystery tool bundle — just the system, inputs, deliverables, and handoff a team can actually use.
Reports are late, scattered, or still assembled by hand.
New enquiries wait too long before the right person sees them.
AI platforms cite competitors, omit the brand, or describe the business vaguely.
Briefs, approvals, publishing, and refreshes depend on memory instead of a system.
Lead details reach the CRM, but context and next steps get lost.
Review requests, reputation monitoring, and response prompts happen inconsistently.
Choose a country to see the cities where this service is available.
Browse the same service shaped around sector-specific buyer behaviour, proof, and search intent.
Showing 12 of 40 industries — search to see the rest.
No industries match that search.
AI platforms decide who to cite based on how confidently they can extract facts about a business — that confidence has to be built deliberately.
Live probes across ChatGPT, Gemini, and Perplexity for your priority buyer questions.
Clear, unambiguous statements of who you are, what you offer, and where you operate.
Schema for services, local business detail, FAQs, and reviews AI crawlers can extract cleanly.
Pages rewritten to directly answer specific buyer questions, not just target a keyword.
A practical review path before scope, timeline, or implementation work is recommended.
We look at the page, funnel, tracking, competitors, and constraints before suggesting activity.
Website condition, content readiness, platform access, markets, approval speed, and implementation ownership shape the plan.
The reply stays enquiry-led: what should happen next, what is needed, and where the work should start.
Send the website, target market, and the service problem you want solved.
The review looks for the blocker most likely to affect qualified enquiries, not just surface-level activity.
The recommendation explains whether this service, a related service, an audit, or a narrower fix should come first.
Use this section to decide whether AI Search Optimization is the right next move for qualified buyers, what can change the scope, and which evidence is useful enough to trust.
Each engagement starts by narrowing the work to the constraints most likely to change visibility, conversion, or qualified demand.
Real probes across ChatGPT, Gemini, and Perplexity show how your business is currently cited.
Site content is sharpened so AI platforms have a confident, citable answer about who you are.
Schema markup gives AI crawlers clean facts to extract instead of guessing.
We keep the work focused: diagnose the gap, build the right path, and measure what changed before scaling the next move.
Real probes across ChatGPT, Gemini, and Perplexity for your priority buyer questions, plus a check of which queries trigger Google AI Overviews.
Compare what AI platforms currently say about you against what they say about competitors, and identify the structural reasons for the difference.
Strengthen entity clarity, structured data, and answer-first content on the pages that matter most.
Recheck AI citations on a recurring cycle, since model updates can shift results without any change on your side.
A sample of published outcomes from engagements relevant to this page.
View all case studiesA US real estate acquisitions GEO and AEO case study covering technical SEO, local citations, and AI...
A B2B GEO and AEO case study focused on making established manufacturing and industrial clients...
A healthcare and wellness SEO case study on growing a Canadian site's estimated organic traffic from about...
Answer Engine Optimization (AEO) usually refers to being cited in direct AI chat answers — ChatGPT, Gemini, Perplexity. Generative Engine Optimization (GEO) is often used for the broader practice of optimizing content for any AI-generated result, including Google's AI Overviews. In practice, the same technical and content work improves both, so we treat them as one connected discipline.
We run real, live probes against ChatGPT, Gemini, and Perplexity with your priority buyer questions and record exactly how your business is described or cited — the same approach behind our internal AI-visibility reporting tools, not a guess based on rankings alone.
No. AEO/GEO builds directly on the technical health, content depth, and authority signals traditional SEO already establishes. A site with weak SEO foundations will struggle with AI visibility for the same underlying reasons.
AI SEO is often used as shorthand for AI Search Optimization: improving how AI answer engines, AI Overviews, and search tools understand and cite a brand. HGM treats AI search engine optimization services as an extension of technical SEO, entity clarity, structured data, and answer-ready content rather than a separate trick.
AI tools for SEO are useful for research, prompt testing, entity checks, and reporting, but the important work is still page quality, source clarity, structured data, and trustworthy content. We use tools to find gaps, then make the public pages clearer for both search engines and AI answer systems.
AI models refresh their training and retrieval data on different cycles, so timelines vary by platform. Structural fixes like schema and entity clarity can influence retrieval-based tools like Perplexity and AI Overviews relatively quickly; training-based citation in models like ChatGPT can take longer to reflect changes.
Request a free AI visibility audit across ChatGPT, Gemini, Perplexity, and Google AI Overviews. We will show you exactly where you're being cited, where a competitor is cited instead, and what's fixable.