Free tools that help agencies find the gap between AI memory and market proof
Use the public checkers to find a visible Presence, Perception, Preference, citation, or AI Readiness gap before you spend audit credits. When the signal is strong, move into a complete agency workflow with buyer context, missions, retests, and executive reporting.
Free AI visibility and brand-risk checkers
Use these when you need a fast public-facing diagnostic before deciding which agency proof path deserves a complete Presence, Perception, Preference, and AI Readiness workflow.
Run a quick brand perception check across accuracy, visibility, sentiment, and recommendation signals before choosing the agency proof path for the 5-credit audit.
- A fast first read before the pre-sales audit
- Surfaces obvious perception, citation, and competitor gaps
- Turns weak results into a white-label action-plan conversation
Check whether public pages are clear, quotable, source-backed, and structured enough for AI assistants to cite them.
- Reviews entity facts, proof, schema, and answer clarity
- Identifies missing source pages and citation blockers
- Built for GEO, AI SEO, and brand visibility teams
Check whether a domain gives Google AI and LLM retrieval systems the crawlable facts, entity context, and source evidence needed for trustworthy AI answers.
- Reviews public crawlability, entity clarity, citation readiness, and page extractability
- Flags technical signals that can weaken Google AI / LLM retrieval readiness and client reporting
- Turns a quick readiness score into a deeper VectorGap workflow with missions, retests, and executive reports
Generate a market-specific AI-search prompt pack for testing brand visibility by country, language, city, persona, and competitor context.
- Creates client-ready prompts for localized manual testing
- Covers discovery, local recommendations, competitors, value, and citation checks
- Turns prompt planning into a clear path toward market-specific audit credits
Estimate payback, MRR, and credit capacity from selling AI visibility and brand-governance audits to existing clients.
- Models Consultant and Agency OS credit capacity
- Shows break-even audit clients, gross profit after VectorGap, and reporting MRR
- Recommends a pre-sales audit, recurring governance retainer, or premium advisory package
Score how ready an SEO agency is to sell, deliver, and prove AI visibility work for clients.
- Covers diagnostics, reporting, workflow, proof, and packaging
- Shows where the agency offer is strong or fragile
- Gives a practical readiness score without a sales call
Find tracking, filter, sort, pagination, and session parameters that create duplicate URLs and weak AI extractability signals.
- Classifies crawl-waste and duplicate-URL risks
- Recommends canonical, noindex, robots, or sitemap handling
- Useful before publishing pages that need stable AI citations
Find the gap between AI memory and market proof, then choose the client where evidence will matter
The free tools are pre-sales filters. They help your agency decide which client, prospect, market, language, persona, and competitor set deserves the full workflow, then convert the finding into missions, retests, and an executive report.
Expose the gap in 60 seconds
Run a checker and get a concrete AI visibility, citation, or technical risk you can show to a prospect or client.
Turn the signal into proof
When the issue matters, use the 5-credit audit to attach buyer context, providers, competitor examples, and prioritized fixes.
Turn the free check into pipeline
Package the evidence into missions, same-scope retests, an executive report, or a retainer conversation with measurable follow-up.
Which free check should an agency use first?
The checker exposes a visible AI perception, citation, agency-readiness, or URL stability gap the buyer can understand without a private workspace.
Use the strongest signal to choose the agency proof path for the 5-credit audit, then deliver buyer-context evidence, competitor context, priorities, and a white-label action plan.
When does a free result become audit-credit work?
The public tool can show that a brand is weakly described, hard to cite, difficult to compare, or technically fragmented.
Run the complete audit against the real market, language, persona, provider panel, and competitor set before recommending a remediation sprint.
How does the agency prove progress after the fix?
The quick diagnostic defines the first hypothesis, but it does not preserve full provider answers, source context, missions, white-label reporting, and comparable retest history.
Ship the proof, schema, source, or page fixes, then retest the same target and export the movement into a client-ready report.
What the 5-credit audit adds
Public tools are useful for the first signal. The 5-credit VectorGap workflow adds the repeatable Presence, Perception, Preference, and AI Readiness evidence agencies need when the finding must become client work, not a one-off screenshot.
Runs the prompt set across the 7-provider panel: ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek.
Compares provider answer differences instead of relying on one manual screenshot.
Identifies source, citation, competitor preference, and market-language gaps behind the answer.
Turns the strongest gap into remediation missions, retest targets, and a white-label action plan.
What agencies should know before using the free tools
Are these tools free?
Yes. The public tools give a useful first diagnostic. The 5-credit audit adds the provider panel, competitor benchmark, evidence review, and white-label action plan.
Where should an agency start?
Start with the AI Perception Checker if you want a fast read on how models describe a brand. Use Citation Readiness when the problem is whether public pages are clear, source-backed, and quotable.
Do these tools replace the 5-credit audit?
No. They are pre-sales filters. The complete VectorGap workflow connects buyer context, providers, competitors, Presence, Perception, Preference, AI Readiness, missions, and executive recommendations.
Why use tools before claiming credits?
Because agencies should spend the 5 credits where the sales conversation is strongest: an agency website with a visible AI answer gap, citation weakness, competitor preference loss, or technical retrieval problem.