Search stopped being ten blue links. Buyers now take answers from AI Overviews, ChatGPT, and Perplexity before they ever reach a website, and a page that cannot be crawled, parsed, and quoted is invisible to all of them. We run technical SEO, answer-engine optimisation, and the analytics underneath both — as engineers, on the same stack we build on, and reported against enquiries rather than ranking screenshots.
You'd call us when your pages are indexed but never chosen, when a site move or replatform flattened your traffic, or when AI assistants answer questions about your market and never mention you.
Crawl budget, canonicals, redirect chains, sitemaps, robots directives, hreflang, and Core Web Vitals — LCP, INP, and CLS — brought inside budget. The usual finding is not thin content: it is that the page was never reliably crawled in the first place.
Schema.org entity markup in JSON-LD, a stable Organization graph with sameAs, an llms.txt that actually parses, answer-first passages an assistant can lift, and crawler access checked for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. Then measured: are you cited, and where.
Intent-mapped topic clusters, internal linking that pushes authority to the pages meant to earn it, and content shaped to show first-hand experience and expertise — the E-E-A-T signals Google asks its raters to look for. Published at a cadence your team can sustain.
Google Ads and Performance Max, paid social, and the measurement to judge them: GA4 with server-side tagging, Consent Mode, clean UTM discipline, and attribution that survives cookie loss. Then CRO on the pages the spend lands on, so more of the same traffic converts.
Yes, but the goal moved. You are no longer only competing for a click — you are competing to be the source the answer is built from, and to be the site the buyer checks before deciding. Both still rest on the same foundations: a crawlable, fast, well-structured site whose claims are specific enough to quote. What changes is the measurement. Impressions and position no longer tell the whole story, so we track citations and brand mentions inside AI answers alongside them.
WHO BUYS THIS
Marketing heads and founders who own a pipeline number, plus the e-commerce and product owners whose revenue depends on organic discovery. Strongest where the buying journey starts with a search — professional services, education, healthcare, real estate, retail, and B2B manufacturing.
The shape every engagement takes — a short paid discovery, a build you can watch, and a run phase we operate or hand over cleanly.
DISCOVER
2–3 wks
A technical and AEO audit: crawl, index coverage, structured data parsed rather than eyeballed, Core Web Vitals, competitor share of voice, and a prioritised fix list with effort set against expected return.
BUILD
by scope
The fixes shipped, not just recommended — templates, schema, redirects, internal linking, page speed, and the first content cluster. Changes land in your repository and your analytics, with the before and after measured.
RUN
ongoing
A monthly retainer: content cadence, digital PR for links, paid campaign management, and a report that leads with enquiries and assisted conversions — rankings and AI citations as the supporting evidence.
An answer engine has to do everything a crawler does — fetch the page, parse the markup, resolve the entity — and then one thing more: find a passage worth quoting. So the work does not split into two disciplines. Server-rendered HTML, structured data a parser accepts rather than merely contains, an unambiguous entity graph, and content that answers before it elaborates serve both at once. We run this discipline on dynamb.com itself, in public, and the audit trail sits in our repository.
Portals, apps, and e-commerce your customers choose to use — fast, and found by search.
Pipelines, warehouses, and live dashboards that cut reporting from days to hours.
We'll tell you what we'd build — and what it costs to run.
