Services
Each service can stand alone, but the strongest path is diagnostic first, implementation second, monitoring third.
Repeated prompt testing across selected AI engines, with competitor tracking, mentions, citations, answer patterns, and executive scorecards.
Outcome: A baseline view of where the brand appears, disappears, or trails competitors.
Prioritized recommendations for content, source structure, schema, entity consistency, earned media, review surfaces, and comparison pages.
Outcome: A clear plan for improving AI answer visibility and representation.
Classification of cited sources into brand-owned, earned, social/community, directories, reviews, and competitor-owned assets.
Outcome: A map of the sources AI systems rely on when describing the market.
Detection of unsupported, outdated, incomplete, or incorrect AI claims about the company.
Outcome: A risk register and correction plan for brand accuracy.
Comparison of existing SEO reports and workstreams against AI visibility gaps and search performance exports.
Outcome: A practical view of where current vendor work helps, misses, or needs redirection.
Execution support for pages, FAQs, comparison content, schema, knowledge-base structure, review/source improvements, and messaging consistency.
Outcome: Improved machine readability, buyer clarity, and source usefulness.
Monthly or rolling measurement of prompts, sources, competitors, hallucinations, drift, and new opportunities.
Outcome: A management rhythm for AI visibility, not a one-time report.
Engagement Path
Most engagements start with a diagnostic pilot before implementation or monitoring.
Measure baseline and identify priority gaps.
Implement the highest-leverage fixes.
Track movement, detect drift, and guide ongoing work.
Integrate reporting with marketing, content, SEO, and leadership workflows.
Implementation
Signal Harbor can operate as an independent diagnostic partner, a strategy layer for internal teams, or an execution partner that implements GEO recommendations directly.
Best for: Clients with strong internal teams
Measure, diagnose, and recommend. Your team executes.
Best for: Marketing teams with limited GEO experience
Prioritize actions, guide execution, review outputs, and monitor movement.
Best for: Clients without internal SEO/content capacity
Build content briefs, update source structures, coordinate publishing, and monitor results.
Best for: Clients already using SEO agencies
Compare vendor work to AI visibility needs and identify missing actions.
Packages
Most engagements start with a diagnostic before implementation or monitoring. Each package can stand alone or lead into the next.
Best for: Small or early-stage prospects
A limited prompt set across one or two engines with a short report — a fast way to see whether AI systems understand your brand.
Best for: Growth-stage and B2B companies
A full prompt set, multi-engine measurement, source map, accuracy review, and action roadmap — a bounded diagnostic that reveals where your brand is visible, missing, or misrepresented.
Best for: Clients ready to improve after diagnosis
Content briefs, source fixes, structured-data guidance, messaging cleanup, and a re-audit — a practical sprint to improve the signals AI systems rely on.
Best for: Companies that want continuous monitoring
Monthly reporting, prompt tracking, competitor movement, hallucination alerts, and quarterly reviews — an always-on visibility layer for AI-era search.
Pricing depends on prompt volume, the number of engines tested, reporting depth, implementation scope, and whether ongoing monitoring is included. We scope it on a diagnostic call.
Book a Diagnostic Call