AI Search Visibility / for B2B SaaS and digital product companies
Be the answer
AI recommends.
When buyers ask ChatGPT, Perplexity, Claude, or Gemini for the best in your category, the shortlist is decided before your sales call begins. Oppority delivers decision-grade visibility audits and priority-led execution blueprints so you can move from uncertainty to measurable movement fast.
24h delivery target
Scope-first, no false promises
Public proof + private execution playbook
What happens next
- 1. Submit your domain and buyer context.
- 2. Receive a 10-prompt baseline in your inbox.
- 3. Decide: baseline only, deep audit, or execution support.
Why trust this
We publish our own baseline audit and progress checks publicly. You can verify how our approach performs on our own brand before buying anything.
The shift
Google sent traffic. AI sends a verdict.
- AI answers compress your category into a short shortlist.
- Most buyers do not click 10 links before deciding.
- If your brand is absent in answers, pipeline drops silently.
For two decades, search engines returned ten links and let the buyer choose. Today, an AI assistant returns one short paragraph and three names. If your name is one of them, you grow. If not, you may as well not exist.
The mechanics that put you on that shortlist are not the mechanics that ranked you on Google. New citations, new schema, new entity signals, new answer-engine sources. Most companies have not started. The window to win position is open right now, and closing fast.
How we work
Three ways in. Most start with the free baseline.
Submit your domain. We run a real 10-prompt directional baseline across Gemini's grounded web search and email a concise brief showing how AI describes your category, who it cites, and where you appear (or do not).
- 10 buyer-intent prompts mined from your category
- Visibility score, top competitors AI names, citation source map
- Standard artifact: DIRECTIONAL_BASELINE_BRIEF + clear next-step recommendation
- Diagnostic only (not a full execution blueprint)
Full evidence package with intent/persona/negative-prompt depth, structural diagnosis, and a priority-led Execution Blueprint your team can run immediately.
- 25 prompts including persona-conditioned + negative-prompt audits
- Sentiment + framing analysis on every brand mention
- Execution Blueprint: PLAN_INDEX -> PRIORITY plans -> TASK files with copy/paste blocks
- Clear support boundaries by access level (advisory, guided, done-for-you)
Support to execute the highest-leverage fixes from the deep audit with explicit boundaries based on your access level and team bandwidth.
- Advisory: operator coaching + QA without direct implementation access
- Guided: we prepare copy/assets; your team publishes and confirms execution
- Done-for-you: full implementation where access is granted
- Optional measurement add-on with baseline/follow-up checkpoint scorecards
How it works
Five steps. Same five every time.
- 01
Submit your domain
Start with the free baseline at /check. We collect your domain, your buyer context, and optional competitor hints so the analysis stays grounded in your real category.
- 02
Run the baseline audit
We run a baseline prompt set and map where AI names you, where it does not, and which citation surfaces dominate your category.
- 03
Choose depth
Free baseline gives directional signal. The $497 tier adds deeper prompt coverage, sentiment framing, persona-conditioned testing, and a 60-minute strategy walkthrough.
- 04
Ship improvements
If you want execution help, we run access-based support: advisory, guided, or done-for-you where access exists, focused on the highest-leverage gaps first.
- 05
Re-test and compare over time
We re-run the same prompt families on a fixed cadence so movement is measurable. AI visibility is not a one-time win; it is a position you maintain.
Who this is for
B2B SaaS and digital product teams that need pipeline from AI answers.
Oppority is built for teams where AI answers now shape buyer shortlists. If your product has clear category alternatives, your sales cycle depends on trust, and your team wants measurable movement instead of generic SEO activity, this is the right fit.
Strong fit signals
- You can name your top 3-5 category competitors clearly.
- Buyers ask ChatGPT, Claude, Gemini, or Perplexity before booking demos.
- You have product proof but weak AI-answer visibility today.
- You want a practical operator-led execution path, not dashboard-only reporting.
Not a fit
- Pre-product or pre-revenue projects without a clear ICP.
- Offers in legally sensitive grey zones or misleading claims.
- Teams expecting guaranteed ranking outcomes in fixed short timelines.
Who is behind this
Run by one operator, by design.
Oppority is run by Jay Shende, an engineer with more than a decade of experience shipping data and decisioning systems at global scale. The work is done personally, end to end. Audits are read by Jay. Sprints are executed by Jay. Replies come from Jay.
The company stays deliberately small because the work is judgment work, not throughput work. You are not handed off, and you do not pay for an account manager.
Reach out at [email protected].
Questions
Answers, briefly.
- What is AI search visibility, and why does it matter for B2B SaaS?
- AI search visibility is whether your brand appears when buyers ask AI assistants (ChatGPT, Perplexity, Claude, Gemini) for the best in your category. It matters because AI assistants now answer in a single short paragraph instead of returning ten links — if your brand is not one of the three names mentioned, you do not exist for that buyer. Unlike traditional search, where being on page one of Google is good enough, AI search is winner-take-most: only the recommended brands convert.
- What is the difference between AEO, GEO, and SEO?
- SEO (Search Engine Optimization) ranks individual pages on a list of links. AEO (Answer Engine Optimization) targets featured-answer slots in traditional search engines like Google's AI Overviews. GEO (Generative Engine Optimization) targets the prose answers generated by LLMs like ChatGPT and Perplexity. All three matter, but the levers, citation surfaces, and metrics are different. AEO and GEO depend more on schema markup, structured FAQs, citation-surface placements (G2, Reddit, Wikipedia, comparison pages), and authoritative content presence than on traditional link-building.
- How do I track if AI assistants like ChatGPT or Gemini recommend my brand?
- There is no single dashboard. The methodology that works: define 20-50 buyer-intent prompts your customers would actually type, run each through every major AI engine (Gemini API for grounded queries, manual capture for ChatGPT/Perplexity/Claude), parse for brand mentions and citations, score visibility weighted by position, and re-test monthly to track movement. This is exactly what Oppority's audit does — submit your domain at oppority.com/check for a free 10-prompt baseline.
- What software helps brands appear in ChatGPT, Perplexity, and Gemini recommendations?
- The category is emerging fast. Direct AI search visibility tools include Profound, AthenaHQ, Brandlight, Goodie, Otterly, Peec AI, Scrunch AI, and Rankability. Adjacent SEO tools adding AI features include Ahrefs Brand Radar, SEMrush AI Toolkit, Surfer SEO, Conductor, BrightEdge, and Clearscope. Oppority focuses on the SMB-to-mid-market segment with a free directional baseline, a decision-grade deep audit, and access-based execution support (advisory, guided, or done-for-you where access exists).
- How is AI search visibility different from regular SEO?
- Regular SEO ranks pages on a list of links. AI search returns a synthesized answer in a single paragraph that names two or three brands. The signals AI engines use to choose those brands include: schema.org structured data (especially FAQPage and SoftwareApplication), authoritative third-party content that mentions you (Reddit, comparison pages, G2 reviews, podcast transcripts), recency of mentions, and entity-graph clarity (do AI engines understand WHO you are as a brand). A strong SEO foundation helps but is not sufficient — many top-ranking SEO sites are invisible in AI answers because they lack the citation-surface presence AI prefers.
- Why now? Why not wait six months for AI search to mature?
- The training cycles of the major models are happening now. Models that ship in the next six to nine months will encode whatever authority signals exist this quarter. By the time you wait, your category's narrative is decided — the brands that AI cites then will be the ones cited by default for years. The cost of entry today is hours of focused work; the cost of entry in 2027, when your competitors are entrenched in the model's recall pattern, is a year of ground-up rebuilding.
- What if my brand is already mentioned in AI answers?
- Then the work is widening the moat: making sure AI cites you for adjacent prompts (not just the one you already win), naming you first when several brands are listed, and continuing to do so as the models retrain. Position is not a one-time win — competitors are also optimizing, and AI ranking can decay if you stop publishing fresh signals. Ongoing tracking and monthly content shipping is how you hold ground.
- Are there affordable AI search visibility tools for small B2B SaaS?
- Most current tools (Profound, AthenaHQ, Brandlight) are priced for enterprise marketing teams ($500-5,000+/month). Oppority is built specifically for the SMB and mid-market segment: a free baseline (oppority.com/check), a deeper $497 deep-audit plus review call, and guided execution support starting around $1,500 depending on scope and access. The same methodology used by enterprise tools, accessible to companies that cannot justify enterprise pricing.
- Can I do AI search visibility optimization myself?
- Technically yes. The methodology is documented and the tools (especially the free Gemini API) are accessible. Realistically: most marketing leaders do not have 10-15 hours per month to run prompt batches across four engines, parse responses, build comparison content, submit to citation directories, and re-test monthly. Oppority can either coach your team (advisory), prepare assets for your team to publish (guided), or implement directly when access is granted (done-for-you).
- Do I need to do work if I hire Oppority?
- For the free baseline at oppority.com/check, just submit your domain — we email the brief within 24 hours, no call required. For the $497 deep-audit plus review call, you book a 60-minute slot. For execution support, your involvement depends on access level: advisory (you execute), guided (we prepare and your team publishes), or done-for-you (we execute where access is granted).
- How do I pay?
- Deep-audit work starts after payment confirmation. Execution support is scoped in support blocks with explicit deliverables and payment terms before work starts. Stripe checkout and invoice options are available. We issue proper invoices for accounting and tax records.
- When does work start, and what is guaranteed?
- Work starts only after scope and payment terms are confirmed in writing. We do not guarantee specific rankings or revenue numbers because no honest operator can in a non-deterministic AI ecosystem. We do guarantee clear scope, delivery artifacts, and checkpoint reporting so decisions are evidence-based.
- What if the audit or execution support does not move the needle?
- The audit is the audit; you keep the report regardless. Execution support includes baseline/follow-up re-tests on agreed prompt families so outcomes are measurable. We do not promise specific positions because no honest practitioner can in a non-deterministic system. If movement is weaker than expected, we provide a documented corrective plan and can continue in a paid extension if you want us to execute it.
Find out what AI says about you today.
Start with a directional baseline. If the gap is real, move to the paid deep audit and execution support with explicit scope, access boundaries, checkpoints, and payment terms.
Get the free baseline