How every page is built
We research first, then organize and de-duplicate — content before schema, always. No page ships until it says something genuinely useful and specific.
1 · Research our own corpus first
We start from what we already know and rank for — our indexed content library and prior client work — so every new page reuses verified facts and links to related material instead of starting from a blank page.
2 · Check what AI engines already surface
We review how Google AI Overviews and assistants like ChatGPT, Claude, Gemini and Perplexity currently frame the topic — the entities, questions and sources they cite — so we answer the questions people actually ask.
3 · Study the top results, then synthesize
We analyze the strongest organic and AI-cited pages for structure and coverage, then reorganize the best of it into our own explanation. We synthesize; we do not copy.
4 · Add real, local specifics
For location pages we add facts that are true only of that place — the county, the local courts, the metro — sourced from official data (Census, city sites, mapping APIs), never templated filler.
How we handle facts and sources
Every claim carries a number, a date, and a named source
Quantitative claims are attributed to a named study or dataset with a year. We prefer primary sources — government, courts, bar associations, .edu and original research — over second-hand blog restatements.
First-party data where we have it
When we can, we cite our own aggregate results across the firms we serve rather than an unsourced industry stat — and we label it as ours.
Structured data must match the visible page
Our schema.org markup only describes content a reader can actually see on the page. We never mark up an invisible fact, an invented rating, or a review that isn't real.
Freshness means updating the facts
When we refresh a page we update the underlying data and sources — not just the 'last updated' date.
Every page has a named, accountable reviewer
Substantive content is reviewed by Scott Wiseman, InterCore’s Founder & CEO and a former Google Marketing Director with 30+ years in digital marketing. Pages carry a visible author or reviewer byline and a “last updated” date so you always know who stands behind the content and when it was last checked.
How we use AI — and where we draw the line
As an AI-first agency, we use large language models and other AI tools to help gather research, organize topics, and draft. We do notpublish AI-generated claims we haven’t verified. A person checks every statistic against its named source, confirms every cited link resolves, and confirms the structured data matches what’s visible on the page. AI accelerates the work; it never replaces human judgment or verification.
Our truthfulness gate
Found something wrong? Tell us.
If any fact, figure, or citation on our site is inaccurate or out of date, email scott@intercore.net with the page URL and the issue. We review correction requests promptly, fix confirmed errors as quickly as we can, and update the underlying data and sources — not just the timestamp. Material corrections are reflected in the page’s “last updated” date.
Independence and client ownership
Our clients own the websites, content, and data we build, and our contracts are month-to-month. We hold ourselves to the same standards on our clients’ sites that we hold on our own — accurate, sourced, and compliant with legal-marketing rules, with no guaranteed-outcome claims.