Prompt-level demand
See the questions buyers ask AI assistants before they reach a website, sales form, or analyst report.
For investors and portfolio teamsKnow which portfolio companies
Know which portfolio companies
are winning in AI search.
Aiso gives investors a portfolio-wide benchmark for how companies appear in ChatGPT, Gemini, Perplexity, Claude, and Copilot - including the prompts, competitors, cited sources, and AI referrals behind the result.
A benchmark for the questions investors already ask.
Investors are already looking at AI mentions, competitor comparisons, and ChatGPT referral traffic. Aiso turns that ad-hoc diligence into a repeatable portfolio operating system.
Competitive mention share
Compare each company against its closest alternatives across the prompts that matter to the category.
Source and citation gaps
Identify the publishers, directories, partner pages, and owned assets that AI systems use to justify answers.
AI referral evidence
Match visibility to ChatGPT referrals, analytics events, and external traffic estimates when direct access is limited.
Use one method across every company.
Aiso starts with a standard view of AI visibility, then adapts the recommendations to each company's market, brand size, geography, and execution capacity.
Pick the portfolio slice
Choose a category, fund, geography, or short list of companies plus the competitors they are usually compared against.
Run the AI benchmark
Aiso measures prompts, mentions, citation sources, fan-out queries, and competitor visibility across major AI assistants.
Connect it to demand
We compare visibility with ChatGPT referral traffic, conversion signals, and market benchmarks to separate noise from pipeline.
Turn findings into action
Portfolio teams get a ranked list of fixes, agency briefs, partner intros, and follow-up dashboards for each company.
- Find portfolio companies that are invisible for high-intent AI prompts.
- Show founders where a competitor is being recommended instead of them.
- Prioritize SEO, PR, content, and source-placement work based on actual AI citations.
- Track whether AI search is starting to send qualified traffic and leads.
- Create a repeatable benchmark for board updates, growth support, and follow-on diligence.
- Use the same evidence layer brands and agencies use when they move from diagnosis to execution.
From real demand to measurable action
Aiso connects the questions people ask AI with the sources and brand signals that shape the answer. Teams can see real prompts and follow-up questions, inspect the fan-out searches behind an answer, compare their mentions with competitors, and track which domains and pages are being cited. The result is a practical queue of content, technical, and third-party work rather than a generic visibility score.
Across 21+ Aiso test runs, changing the user's saved ChatGPT memory did not change the fan-out queries, recommended brands, or their order. The hidden searches were more stable than the final wording of the answer. See the research.
01
Find real questions
See the questions buyers actually ask AI, including the follow-ups that reveal what they need.
59%of what people say in multi-turn AI conversations comes after the first prompt.
02
Build for the answer
Improve the content, technical foundation and authority signals that shape whether AI recommends you.
50%of unique terms appear after turn one, revealing needs a keyword list can miss.
In a controlled Aiso experiment, structured data made identical content roughly 30% easier for AI systems to retrieve. The test used paired sites with and without JSON-LD across ChatGPT and Perplexity. Read the experiment.
03
Turn visibility into demand
Track where your brand enters the answer, then focus the work that helps the right buyer choose you.
41%of AI conversations continue beyond one turn, where preferences become clearer.
In one Aiso citation-source analysis, a single third-party page was cited 41 times across eight tracked prompts. Visibility can concentrate around a surprisingly small number of external sources.
The same evidence layer works for investors, brands, and agencies.
Investors use Aiso to find the gap. Brands use it to prioritize what to fix. Agencies and managed services teams use it to execute and prove the lift.
For portfolio support
Give founders a concrete benchmark: where AI recommends them, where competitors win, and which sources need to change.
For commercial proof
Connect AI visibility to referral traffic, qualified leads, and a proof-of-value pilot when the brand wants lower upfront risk.
Frequently asked questions
Is this only for growth investors?
No. Growth investors, venture funds, private equity teams, venture studios, and advisors can use the benchmark to understand where portfolio companies stand in AI search and which actions are worth funding.
Do portfolio companies need to connect analytics first?
No. Aiso can start with prompt visibility, competitor mentions, citation sources, and public traffic signals. If a company shares analytics later, we can connect the benchmark to ChatGPT referrals, conversions, and qualified leads.
Can this compare many companies at once?
Yes. The investor workflow is built for cross-company benchmarking: one category, multiple portfolio companies, their competitors, and a consistent prompt set for comparison.
What happens after the benchmark?
Each company gets a prioritized action plan. Some teams use Aiso self-serve, some work with their agency, and selected brands can use Aiso managed services or a proof-of-value pilot tied to AI-attributed leads.
Benchmark your portfolio's AI search visibility.
Book a portfolio benchmark and we will show which companies are being surfaced, which competitors are taking the answer, and which actions are most likely to create new AI-attributed demand.