Content Optimization for SEO + AI Search

Make the content you already have work harder, in Google and in AI answers

Writing is only half the job. Most B2B SaaS teams publish good content and then never find out whether it's being found, cited by Claude, ChatGPT, Perplexity, or Google's AI answers, or turning into pipeline.

This service pairs expert editorial work (Anya) with search and AI-visibility measurement (Jordan Chavis, a B2B SaaS growth marketer with 10+ years in SEO and the last few focused on AI search) so every piece is improved, tracked, and tied to a result.

What we do

1

Audit and prioritize

  • Pull search data (Google Search Console, Ahrefs) to find pages that are decaying, stuck on page two, or ranking for the wrong intent.
  • Baseline AI-search visibility: which prompts your buyers ask, whether your brand is mentioned or cited, and who is cited instead.
  • Deliver a ranked list: which 10-20 pages are worth improving first, and why.
2

Optimize

  • Rewrite and restructure for the question the reader actually has: answer first, clear headings, specifics over filler.
  • Add what AI systems and searchers both reward: concrete data points with sources, FAQ sections, clean structure, schema markup where it fits, internal links, and unambiguous product/category language.
  • Edited and voiced by a senior B2B editor so it still reads like a person wrote it.
3

Measure

Each engagement sets a baseline before changes and reports against it:

What we trackWhere it comes fromWhy it matters
Clicks, impressions, average positionGoogle Search ConsoleDid the page get found more?
Keyword movement and traffic valueAhrefs + DataForSEOIs the page winning the terms that matter?
AI visibility and citation sharePeec (or your own tooling)Are you showing up in AI answers, and in place of whom?
AI referral trafficGA4Are LLMs sending visitors?
Leads and self-reported attributionCRM / "how did you hear about us"Is it producing pipeline, not just traffic?

We review at 30 days and decide what to refresh, or create next based on what moved.

How agents and editors work together

For content that's meant to be SEO/GEO-optimized, agents handle research and first drafts. People handle judgment. Every claim is checked against a source, and every piece is edited and approved by a senior editor before it ships.

How agents and editors work together Search and AI-visibility data feeds five agents in sequence: SEO strategist, brief writer, content writer, claim verifier, and content reviewer. A senior editor handles flagged claims and has final say on what ships. The piece is then published and measured, and results feed back into the data. Agent Human-led Your data Search Console Ahrefs, DataForSEO AI-visibility tracking SEO strategist Keyword and SERP research AI-answer citation checks Competitor pulls Brief writer Outline and target query Claims the piece must make Official source for each Content writer Drafts from the brief Source docs in context No unsourced numbers Claim verifier Maps each claim to a source Flags what it can't source Adds claim-to-source table Content reviewer Scores against a rubric Directs revisions Judges, doesn't rewrite Editor Handles flagged claims Voice and judgment Final say on what ships Publish + measure Rankings, citations, leads Stale claims re-checked Reviewed at 30/60/90 Results feed the next round: a gap or stale claim becomes the next topic