Give clearer facts about your brand
AI SEO Setup is delivered through a Decision Sprint after the Free Growth Map. With agreed access, it maps prompt visibility, citation sources, technical blockers, priority decisions, and the implementation sequence.
What the paid Decision Sprint delivers
Prompts that shape the shortlist
We map the questions buyers ask before shortlisting a product, service, agency, or local provider.
Category and recommendation prompts
Best tools, services, vendors, agencies, products, or platforms for a specific audience, use case, location, or constraint.
Comparison and alternative prompts
Questions where buyers compare your brand against default options, category leaders, direct competitors, operating models, or substitute workflows.
Trust and proof prompts
Questions about reviews, case studies, results, founder expertise, implementation quality, risk, support, and who the offer is best suited for.
Practical use-case prompts
How-to, checklist, setup, integration, implementation, budget-fit, and objection questions that often decide whether a buyer shortlists the brand.
Improve the source material AI systems use
The first paid phase finds visibility gaps, defines fixes, and assigns the next work.
Know the real starting point
Test a focused prompt basket to see whether the brand appears, is recommended, is cited, is misdescribed, or is replaced by competitors.
See which sources shape the answers
Map the owned pages, review profiles, directories, communities, media pages, app stores, and competitor pages that AI tools lean on.
Remove obvious access blockers
Check whether priority pages are indexable, crawlable, snippet-eligible, canonicalized correctly, and visible as readable HTML.
Turn strategy into tickets
Separate research, page briefs, source cleanup, technical fixes, and implementation so the next phase has clear owners and validation steps.
What is included in the paid Decision Sprint
The Decision Sprint covers prompt visibility, technical access, citation sources, page plans, answer assets, entity cleanup, and implementation order.
Prompt visibility snapshot
- Work
- Build and test prompts for category, comparison, recommendations, brand, proof, budget, and use cases. Record mentions, citations, competitors, source URLs, answer patterns, and errors.
- Output
- A scored prompt baseline and gap list for buyer-selection questions.
Technical readiness review
- Work
- Review indexability, robots rules, crawler access, snippets, redirects, canonicals, sitemaps, internal links, rendering, mobile content, and structured data.
- Output
- A blocker list assigned to the developer, CMS owner, or SEO lead.
Recommendation source diagnosis
- Work
- Identify recurring competitors, the sources supporting them, and gaps in your owned and external signals.
- Output
- A source review showing where brand facts conflict with or trail competitor evidence.
Priority page optimization
- Work
- Plan answer blocks, fit, use cases, proof, comparisons, FAQs, internal links, and extractable structure.
- Output
- Five briefs or tickets for priority commercial pages.
AI-ready answer assets
- Work
- Brief assets for category selection, alternatives, comparisons, objections, use cases, setup, and buyer criteria.
- Output
- Ten briefs for high-intent buyer questions.
Entity and proof cleanup
- Work
- Align company, service, audience, claims, reviews, authors, profiles, and proof across owned and external sources.
- Output
- Consistent company, audience, and proof details across owned and external sources.
AI misrepresentation fixes
- Work
- Record stale facts, missing use cases, unsupported claims, category confusion, and weak sources when competitors are recommended.
- Output
- A correction plan for inaccurate or stale AI summaries.
External trust signal plan
- Work
- Prioritize profiles, directories, reviews, founder pages, partner listings, communities, PR, and identity conflicts.
- Output
- A legitimate trust-signal checklist with no fake reviews or activity.
Ten answer-asset briefs
The setup includes ten briefs for questions that shape comparison, trust, and shortlist decisions.
Best solution in the category for a specific buyer segment
Your brand versus the default alternative buyers already know
Best options for a high-intent use case or workflow
Budget-fit guide with tradeoffs and decision criteria
Alternatives and comparison pages for competitors that appear in AI answers
External trust signals to fix
The setup maps the legitimate third-party sources that need cleanup, stronger evidence, or clearer identity.
Owned source consistency
Homepage, offer pages, help or documentation, case studies, FAQs, comparison pages, and contact pages should describe the business consistently.
Review and marketplace profiles
Software directories, app stores, service marketplaces, review sites, and public profiles should be claimed, complete, current, and consistent with the site.
Founder and company entity signals
LinkedIn, author pages, founder profiles, company pages, media mentions, partner pages, and public registries can reduce confusion when they are accurate.
Disambiguation checks
Similar names, stale profiles, old companies, regional duplicates, and unrelated listings need to be reviewed so AI tools do not merge the wrong facts.
What you receive
Prompt result snapshot
Prompt set, engine-by-engine result log, where the brand appears, where it is absent, cited sources, competitors, and recurring answer patterns.
Citation gap notes
Owned and third-party source gaps that explain why competitors are easier to recommend, cite, or compare.
Technical blocker tickets
Affected URL, issue, recommended fix, priority, owner, and validation method for access, indexation, rendering, snippets, canonicals, schema, and linking.
Five page briefs
Priority page improvement plans with answer blocks, proof, comparison logic, FAQs, internal links, and source-backed claims.
Ten answer asset briefs
Content directions for high-intent buyer questions, category comparisons, alternatives, budget-fit, use cases, objections, and checklists.
External cleanup checklist
A ranked list of third-party profiles, directories, review surfaces, community sources, founder/company pages, and disambiguation issues.
Next-phase sequence
A prioritized action plan for what to fix first, what to implement next, and how to retest before larger AI SEO work is sold.
How the setup runs
Research comes first. Implementation is scoped from the findings and tickets.
Build the buyer-question map
We define the prompt set around the actual buying path: category, comparison, alternative, trust, feature, setup, budget-fit, and use-case questions.
Check selected AI tools
We record mentions, citations, competitor replacements, answer quality, source types, and misrepresentations across the selected surfaces.
Audit access and page clarity
We check the pages and technical signals that influence whether AI and search systems can access, parse, cite, and trust the source material.
Create briefs and tickets
We turn the findings into page briefs, source cleanup work, technical tickets, answer assets, and a clean next-phase implementation estimate.
The setup links each finding to an implementation ticket and a measurement check.
Research becomes implementation tickets. Each completed fix gets a measurement check.
- 01
Diagnose
Name the commercial constraint.
Input: Website, account, tracking, feed, margins, demand, or buyer prompts. - 02
Validate
Check the data, economics, demand, and implementation limits.
Output: Trusted baseline, attribution, margins, lead quality, stock, and access limits. - 03
Decide
Choose one move and state the trade-offs.
Output: One priority, target metric, assumptions, exclusions, and decision date. - 04
Execute
Ship the smallest coherent change.
Output: Owner, sequence, dependencies, approvals, and validation method. - 05
Prove
Read the result against the agreed commercial metric.
Output: Metric movement, confidence, exclusions, unintended effects, and next decision.
Use the result to choose what happens next.
What the loop looked like in one constrained SEO program.
- What the dashboard appeared to showA new store had 336 organic sessions and a low-authority starting point.
- What the diagnosis foundTight budget, development delays, and low authority constrained the sequence.
- What decision was madePrioritize five SEO moves around the clearest technical, content, and link constraints.
- What was implementedSequenced technical fixes, content, and links around the available implementation capacity.
- What changedOrganic sessions reached 1,262, a 276% lift, and Domain Trust moved from 12 to 25.
How working with Etavrian starts
Free Growth Map
A short, no-access intake identifies what is most likely blocking growth and the evidence needed to check it.
- Output
- Likely constraint, fit, and next evidence
- Access
- No account access to start
- Timing
- Response timing is confirmed after submission
- Review
- Manual fit and route review
- Excludes
- Not a full account audit or implementation plan
- Cost / terms
- $0
- Next
- Use the map, start a Decision Sprint, discuss execution, or stop if the public read is enough.
- Price changes
- Not applicable at this stage.
- Guarantee
- No. The map identifies the likely constraint; it does not guarantee an outcome.
Decision Sprint
A scoped investigation validates the economics, evidence, and implementation choices behind one important decision.
- Output
- Validated decision, implementation scope, and measurement logic
- Access
- Only the data relevant to the agreed scope
- Timing
- Exact duration is confirmed before payment
- Review
- The included review format is confirmed before payment
- Excludes
- Execution is separate beyond the limited implementation handoff
- Cost / terms
- $400 for the published Decision Sprint; route-specific work is confirmed before payment
- Next
- Use the plan internally or discuss an Execution Partnership.
- Price changes
- Any price-change rules are confirmed in the Decision Sprint scope.
- Guarantee
- No. The Sprint validates the decision and baseline; it does not guarantee the outcome.
Execution Partnership
Ongoing channel and cross-functional execution is tied to a visible decision cadence and measurable commercial outcomes.
- Output
- Implementation, coordination, and recurring outcome read
- Access
- Agreed systems, owners, and operating context
- Timing
- Cadence and any minimum term are confirmed in the scoped proposal
- Review
- Recurring decision and outcome review
- Excludes
- No guaranteed outcome; performance terms require an agreed baseline, attribution source, metric, and exclusions
- Cost / terms
- Scoped after the Decision Sprint.
- Next
- Agree scope, responsibilities, measurement, and terms before work starts.
- Price changes
- Price-change rules are confirmed in the service scope.
- Guarantee
- No. Any performance component requires an agreed baseline, attribution source, target metric, and exclusions.
The Free Growth Map is $0. The published Decision Sprint is $400. An Execution Partnership is scoped only after the Decision Sprint. Performance-linked pricing is optional, never guaranteed, and begins only after the baseline, attribution source, target metric, margin assumptions, and exclusions are agreed. Exact timing and commercial details are confirmed before payment or in the scoped proposal.
Start with the Free Growth Map.
Share the site, market, competitors, and offer. The Free Growth Map shows whether the paid Decision Sprint is justified. Stage 1 needs no account access.
Questions before you book
What is the AI SEO setup package?
It is the paid Decision Sprint after the Free Growth Map. It maps current AI visibility, blockers, source gaps, priority pages, and the next implementation phase.
Is this specific to one industry?
No. The setup can be adapted for SaaS, ecommerce, B2B services, local services, marketplaces, and product-led businesses. Prompts and sources are adapted to the category and buyer questions.
Which AI tools are checked?
The set can include ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google AI Overviews. The final list depends on the market, language, access, and which tools buyers use.
Do you guarantee that AI tools will recommend the brand?
No. We remove blockers, clarify source material, improve citation readiness, and measure movement. No one can guarantee a fixed citation or recommendation in a dynamic AI answer.
Is implementation included in the setup?
No. The setup covers research, findings, briefs, tickets, and the roadmap. Implementation is scoped once the required CMS, technical, page, and profile work is known.
What access is needed?
Usually the website, Search Console, GA4, Bing Webmaster Tools when available, CMS or developer context, priority pages, competitors, and proof sources. Server or CDN context may be needed for access issues.
Why are external profiles part of AI SEO?
AI tools also use reviews, directories, app stores, LinkedIn, founder profiles, media, communities, and comparison pages. These sources shape how the brand is described and recommended.
What makes this different from publishing AI content?
The setup starts with visibility, sources, and technical access. New content follows only when it answers a buyer question, supports proof, and can be accessed and cited.
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