The largest single surface where buyers ask which vendor to pick.
OpenAI, Feb 2026Get cited by ChatGPT, Perplexity, and Google AI Overviews.
Most brands rank well on Google and still go missing from AI answers. ChatGPT, Perplexity, and Google AI Overviews pick sources based on entity trust, technical architecture, and content structure. This is the system that changes that.
Search changed.
The strategy must too.
When a founder asks an AI engine which vendor to trust, they are not getting ten blue links. They get one answer, with one or two sources cited. That is the moment your brand either exists or it does not.
The brand that gets named is not the one with the best product. It is the one with the clearest technical architecture and the most entity-consistent content, which is what AEO is built to fix. It runs alongside SEO, not instead of it: the same cluster that earns rankings earns citations.
Weights E-E-A-T and structured data more heavily than any other engine.
GoogleLeans on freshness. Stale pages drop out of its answers fast.
Perplexity CEO, Jun 2025Runs on Bing, so Bing indexation is not optional here.
Microsoft earnings, Apr 2026Rewards verifiable credibility and a non-promotional tone.
AnthropicReads real-time web and X signals, so recency carries unusual weight.
Third-party estimateHow I convert AI visibility
into qualified leads.
Answer Engine Optimization only earns its keep when it brings you buyers. Before I open a single tool, I learn how you make money, who buys, and what they are up against. Everything after that is built to bring you leads with AI rankings.
Learn how you earn
I go deep on your product, your sales pipeline, and where you want the business a year out. If I cannot see how a lead becomes revenue, I am not ready to write your strategy.
Map your buyer
Who buys, what they struggle to solve, how their market moves. I take the full picture end to end, so the plan is built for a person, not a search-volume chart.
Pick keywords that bring leads
I read demand and buyer intent in the tools, then choose a deliberate mix: high-intent easy wins with almost no volume, commercial queries that convert, and enough reach to compound. I build for pipeline from day one, because the brand mentions that earn AI citations earn leads too.
Fix the technical backbone
Technical SEO is the backbone of AI visibility, so I am blunt about it. Core Web Vitals, a lean tech stack, crawl budget spent where it counts, and a site that agentic AI bots can reach and read. The repetitive work gets automated, like sitemaps that keep themselves current.
Build content pillars with intent
Clusters tied to your buyer: commercial, informational, BOFU and MOFU, in the mix your market needs, with Keyword Golden Ratio picks for fast wins. That is how topical authority turns into a recommendation.
Write for people, structure for machines
First-hand expertise and E-E-A-T, written to be read by a person and cited by a machine. On-page SEO and AEO go in together, never as an afterthought.
Distribute and earn off-site authority
Your content goes where buyers and models both look. Social distribution to build presence, plus targeted outreach and links on the pages LLMs already cite in your category.
Track what pays
Rankings and AI visibility get watched. Brand mentions and real pipeline lead the report, and the data points to where we scale next.
Refresh before it fades
AI search rewards recent pages, so I update your content on a schedule, before its rankings soften. One story stays consistent on the site and everywhere off it, because when models find conflicting signals, they stop recommending you.
One entity every engine can trust
Everything above resolves into one knowledge graph: a single, consistent identity the models can recognise, connect, and cite. When your brand, your sources, and your content all say the same thing, you become the answer, not a link under it.
Everything it takes
to get you cited.
Each service maps to one goal: your brand named when buyers ask AI, and the pipeline that follows.
AI Visibility Audit
Where your brand shows up, and where it does not, across ChatGPT, Perplexity, Google AI Overviews, Claude, Copilot and Grok, for the queries your buyers actually ask.
Start with thisEntity and Schema
Person, Organization and Product schema with sameAs signals, so the models can identify you before they cite you.
Start with thisAnswer-First Content
Built on real expertise, written so a person understands it and a model can quote it, structured to rank on Google and get named in AI answers.
Start with thisTechnical AI Access
Core Web Vitals, crawl budget, Bing indexation and AI bot access, so the engines can read what you publish.
Start with thisOff-Site Authority
Targeted outreach and links on the pages LLMs already cite in your category, plus presence where buyers compare vendors before they visit your site.
Start with thisContent Refresh
Monitoring for decay and updating what is slipping, because AI search rewards recent pages and so does Google.
Start with thisTracking and Reporting
Your brand across the engines every month, with brand mentions and pipeline impact, so the data decides what to do next.
Start with thisWhere your buyers ask,
compare, and decide.
I track, optimise, and earn citations across the AI surfaces that already shape your shortlist, so your brand shows up at the moment buyers choose.
Where most buyers start a vendor question.
Wired straight into Google's own ecosystem.
Leaned on for considered, high-stakes research.
Cites its sources on every single answer.
Sits inside the tools your buyers use all day.
Real-time, tied into the conversation on X.
Fast-growing, and powering a wave of new tools.
Sits on top of the searches you already rank for.
Real outcomes,
measured in AI.
Pulled from Bing Webmaster and GA4 on live client work. AI citations from zero, and the leads that follow.
0 → 237 organic leads from AI
In three months, from zero AI presence when I started. Every lead tracked in GA4 as AI-sourced traffic.
See the workAI citation volumes are Microsoft Copilot data from Bing Webmaster Tools; totals across all engines run higher. Leads tracked in GA4. Client names withheld under NDA. See the full case studies.
Your questions,
answered.
Find out where you stand
with AI engines today.
The audit covers your current AI citation gaps, Bing indexation, AI bot access, entity schema, and a prioritised fix list. Free, no commitment, replied within 4 hours.