Done-for-you AI visibility implementation
Stop losing AI-assisted buyers to competitors.
Search Signal Cloud identifies why ChatGPT, Gemini, Claude and Perplexity overlook, misunderstand or recommend competitors instead of your company. We then implement the technical, content, entity and authority improvements designed to strengthen your visibility.
The visibility gap
AI answers can remove your company from consideration before a buyer visits your website.
When buyers ask AI platforms for recommendations, comparisons or solutions, the answer may feature competitors, describe your business inaccurately or omit your company completely. Search Signal Cloud identifies where this happens and turns the evidence into implementation priorities.
Buyer prompt
“What’s the best platform for [your category]?”
“Teams typically choose Competitor A or Competitor B for this.”
“Your company is a strong option here, known for…”
You are not mentioned
Your company does not enter the answer set for relevant category, use-case or comparison questions.
Your brand is misunderstood
AI platforms associate the company with the wrong category, capabilities, customers or differentiators.
Competitors receive the citations
Trusted sources and competitor pages provide stronger evidence for AI-generated recommendations.
Evidence before execution
We determine what is limiting your AI visibility before changing the website.
The baseline combines repeated buyer-intent testing, competitor comparison, citation evidence, website analysis and search performance. Each finding is connected to a specific implementation action, owner and measurement method.
AI Search Presence
Measure whether the company appears, is described accurately and is recommended for relevant buyer questions.
Competitive AI Share of Voice
Identify which competitors receive mentions, recommendations and preferred positions across the tested prompts.
AI Citation Intelligence
Identify the domains and pages influencing AI answers and whether the company earns direct citations.
Brand Understanding
Check whether AI platforms understand the company, category, products, customers, use cases and differentiators accurately.
Buyer-Journey Coverage
Find where visibility declines across discovery, comparison, evaluation and decision-stage questions.
AI Agent Discoverability
Test whether AI systems can access important information and complete relevant buyer tasks on the website.
Content and Authority Gaps
Identify missing content, evidence, third-party references and authority signals limiting visibility.
SEO Foundation
Review technical accessibility, search demand, page performance, keywords, backlinks and authority as supporting signals.
Choose your starting point
Choose the right starting point
Start with implementation if you are ready to act. Start with the Report Pack if you need the evidence and priorities first.
90-Day AI Visibility Implementation
For companies ready to implement the agreed technical, content, entity and authority improvements and measure movement at defined milestones.
Discuss ImplementationVisibility Intelligence Report Pack
For companies that need a decision-ready view of AI visibility, supporting SEO signals, competitor evidence and a prioritised 90-day plan before implementation.
Get the Report PackFree AI Visibility Snapshot
For companies that want an initial directional view using public data before purchasing the full diagnostic or discussing implementation.
Run Free SnapshotWhat we implement
A 90-day implementation program focused on the signals that influence AI discovery and recommendation.
We agree the priority backlog before work begins. The final scope reflects the baseline evidence, the client website, available access and the changes that can be completed responsibly within 90 days.
Technical and crawler access
Resolve agreed crawlability, rendering, indexing, canonical, internal linking and AI-agent access issues.
Entity and structured data
Clarify the company, products, services, people and relationships through page content and valid structured data.
Buyer-question content
Create or improve direct answers for high-value category, use-case, comparison, evaluation and decision questions.
Category and comparison pages
Build or strengthen pages that help buyers and AI systems understand where the company fits and why it is relevant.
Citation and authority opportunities
Identify and pursue realistic third-party references, directories, review sources and editorial opportunities included in the agreed scope.
Measurement and iteration
Repeat the agreed prompt set, compare results with the baseline and adjust the next implementation priorities.
Measured at every milestone
Progress is measured against the same buyer questions, competitors and visibility baseline.
AI answers vary by platform, prompt, location and time. Search Signal Cloud uses a defined benchmark set and repeated testing so leadership can see directional movement, completed work and remaining gaps without treating a single answer as proof of performance.
Prompt coverage
Percentage of tested buyer questions where the company appears.
Mention rate
Percentage of tested answers that mention the company.
Recommendation rate
Percentage of tested answers that actively recommend or shortlist the company.
Citation rate
Percentage of tested answers that cite the company website or an approved supporting source.
Competitive share of voice
Company mentions compared with the selected competitor set.
Brand accuracy
Accuracy of category, product, audience, use-case and differentiator descriptions.
Implementation completion
Agreed actions completed, validated and released by milestone.
How it works
From evidence to implementation in four stages.
Each stage builds on measured evidence from the previous one, so priorities are always grounded in data.
Establish the baseline
Test buyer questions, competitors, citations, brand understanding, technical access and supporting search signal cloud.
Agree the priority backlog
Confirm scope, owners, dependencies, target dates and the measurement set before implementation begins.
Implement and measure
Release the agreed changes in sequenced workstreams and repeat the benchmark at each milestone.
Handover the next roadmap
Document completed work, measured movement, unresolved dependencies and the recommended next priorities.
Free AI visibility snapshot
See the first signs of where your visibility is being lost.
Enter your website to receive an initial snapshot across AI visibility, answer readiness and supporting SEO signals. The snapshot is a directional diagnostic, not the complete paid baseline used for implementation.
The evidence behind the work
Every implementation priority is connected to observed data.
The implementation baseline includes an executive snapshot, a 10-page AI Search Visibility Intelligence Report, a 6-page SEO Visibility Intelligence Report and a supporting evidence workbook. The reports explain the position; the implementation engagement changes it.
Competitive AI Share of Voice
Shows which competitors capture mentions and preferred positions.
AI Citation Intelligence
Shows which sources influence answers and whether the company earns citations.
Prioritised 90-Day Plan
Maps findings to actions, owners, dependencies and measurement.
Built for companies with commercial demand, visible competitors and the ability to implement.
B2B and SaaS companies
Companies competing for category, use-case and comparison visibility during a considered buying journey.
Funded growth companies
Teams investing in market presence that need AI visibility work connected to measurable priorities.
Established service businesses
Companies with meaningful search demand and competitors already appearing in AI-assisted discovery.
Frequently asked questions about AI search visibility.
Search Signal Cloud implements the agreed technical, content, structured-data, entity, internal-linking and authority improvements identified during the baseline. The exact backlog depends on the website, competitor position, available access and the work that can be completed responsibly within 90 days.
We test a defined set of buyer-intent questions across supported AI platforms, record mentions, recommendations and citations, compare competitors, and repeat the same benchmark at each milestone. This provides a consistent view of directional movement.
The core benchmark covers ChatGPT, Gemini, Claude and Perplexity. The final platform set and prompt set are confirmed for each engagement based on the client's buyers, market and category.
We agree a prioritised backlog before work starts. It may include technical corrections, structured data, entity clarification, category and comparison pages, buyer-question content, internal linking and selected authority initiatives. Scope depends on access, approvals and client-side dependencies.
No. Search visibility, website authority and technical accessibility continue to influence how information is discovered and trusted. Search Signal Cloud treats SEO as a supporting foundation while prioritising AI presence, understanding, citations and recommendations.
The initial snapshot and report can use public data. Implementation normally requires controlled access to the relevant website, CMS, code repository or analytics environment. Required access and approval procedures are agreed before work begins.
Yes. The implementation engagement includes the baseline intelligence and milestone remeasurement required to prioritise work and assess movement. The Report Pack can also be purchased separately as a standalone diagnostic.
It is designed for companies with meaningful buyer demand, identifiable competitors and the ability to release website, content and technical changes during the engagement. It is particularly relevant when competitors already appear more often in AI-assisted discovery.
No. AI answers and search results depend on platforms, prompts, locations, timing, competitors and third-party sources. Search Signal Cloud commits to the agreed implementation work and measurement process, not to a specific ranking, citation, traffic, lead or revenue result.
At the final milestone, Search Signal Cloud provides the updated benchmark, completed-work record, outstanding dependencies and recommended next roadmap. The client can continue internally or agree a further implementation or monitoring scope.
Your visibility problem does not end with a report.
Use the evidence to implement the changes, measure movement and decide what should happen next.