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What is AIGROW?
AIGROW is a tool for checking how AI assistants describe and recommend a business. You enter your website, and it asks buying-style questions to see whether ChatGPT, Claude, Gemini and Grok name your company — or your competitors — in their answers. The site frames this as "make your business easier for AI to recommend": it looks at the answers themselves plus the signals behind them, such as AI crawler access, business details and structured data.
What the free scan shows
- Who gets recommended: the assistants' answers, the businesses they name, and whether yours appears. Questions are kept beside answers so you can verify results yourself.
- What gets in the way: crawler access, business details and structured data gaps, with pointers on what to check next.
- No account or card required to start, according to the site.
If you want ongoing tracking
Paid tiers extend the picture. Watch repeats your questions monthly; Act checks weekly and compares competitors, so you can judge whether a change holds. Operate and Agency cover more sites. The plans page lists limits and prices.
AIGROW also publishes the AIGROW Index, an archive of answers to buyer questions across categories and places, showing which names appeared, how often they recurred and where assistants disagreed. Its own figures illustrate the volatility: 21% of names were shared by any two assistants asked the same question, and 56% of names were repeated in another run. The site is explicit that these are dated observations, not predictions or endorsements, and that no plan guarantees a ranking or an AI mention.
Practical next step: if you run a local or service business where customers ask assistants "who should I use?", start with the free scan of your own domain, then check the Index for your category to see which competitors currently occupy those answers.
Decision criterion: treat the free scan as a diagnostic. Pay for tracking only if you can act on the gaps it finds — crawler access, structured data and consistent business details are things a web team can fix; an AI mention itself is not something anyone can buy. Related reading on how assistants surface sources: OpenAI and Anthropic.
Is the free website scan enough to decide whether I need a paid plan?
The free scan is enough to decide whether you need a paid plan, but only if you use it as a diagnosis rather than a verdict. It tells you where you stand today; it does not tell you how much that position will move.
What the free scan gives you
AIGROW's scan asks buying questions about your business, records which assistants answer and which businesses they name, and keeps the question beside the answer so you can verify the result yourself. It also checks the mechanics behind those answers: AI crawler access, business details and structured data, then points to gaps and explains what to check next.
That is a complete first decision. If your business never appears and the report shows crawler blocks or missing structured data, you have a concrete reason to act. If you appear consistently in the questions that matter and the technical checks are clean, paying for monitoring is optional.
Where the free scan stops
It is a snapshot. The site's own published data makes the case for repeat measurement: 56% of names repeated in another run, and only 21% of names were shared by any two assistants asked the same question. Answers also vary by question, place and assistant. A single scan cannot tell you whether a gap is stable or a one-off, and it cannot tell you whether a fix worked. Paid tiers exist for that: Repeats runs your questions monthly, Act runs weekly and compares competitors, and Operate and Agency cover more sites.
How to choose
| What the scan shows | Reasonable next step |
|---|---|
| Not named, with clear technical gaps | Fix the gaps first, then rescan before paying |
| Named in some questions, absent in others | Monthly monitoring to see if the pattern holds |
| Named consistently, checks clean | No paid plan needed yet; rescan after site changes |
| Competitors named and you are not | Weekly tracking plus a visibility audit to map the work |
Ask one question before upgrading: can I name the specific change I would make, and how I would know it worked? If yes, a paid plan buys you the evidence. If no, you would be paying for data you cannot act on.
A practical next step
Run the scan, then pick the three or four questions a real customer would ask before choosing you — not your brand name, but "who should I use for X in Y". Rerun those same questions yourself in two different assistants a few weeks later. If the answers move around, you need monitoring. If they are stable and you are absent, you need fixes first.
Two useful reference points: AIGROW publishes its Index editions with a DOI so you can check the method and sample behind the numbers, and AIGROW lists plan limits and prices on its plans page before you sign up. Note that no plan guarantees a ranking or an AI mention, so treat any paid tier as measurement and improvement work, not a promised outcome.
How do I check if ChatGPT, Claude, Gemini, and Grok recommend my business?
Start by treating this as a measurement question, not a settings question. There is no single dashboard inside ChatGPT, Claude, Gemini or Grok that shows you a recommendation score. You check it by asking each assistant the same buying questions a real customer would ask, then recording which businesses get named. AIGROW is built around exactly that workflow: a free website scan that asks buying questions about your business and shows you the assistants' answers alongside the question that produced them.
The manual version
- Write five to ten questions a customer might ask before choosing you — "best [service] in [city]", "who should I hire for [problem]", "[your brand] vs [competitor]".
- Ask each of the four assistants the identical wording, one question at a time, in a fresh chat.
- Save the full answer, note the date, and highlight every business named.
- Repeat the same set a few weeks later. Answers shift with phrasing, location and the assistant's current model.
The reason to keep the question next to the answer is verification: you can re-run it yourself and see whether your business appeared, rather than trusting a summary.
What the scan adds
AIGROW's scan checks the website behind the answers — AI crawler access, business details and structured data — and points to gaps that may be keeping you out of recommendations. Its Watch tier repeats your questions monthly, and Act checks weekly with competitor comparisons, so you can see whether a change holds. Operate and Agency cover more sites; the plans page lists limits and prices. The site is explicit that no plan guarantees a ranking or an AI mention, which is the honest framing for this category.
Why results are unstable
AIGROW's published Index reports that only 21% of names were shared by any two assistants asked the same question, and 56% of names were repeated in another run. Read that as a warning against over-reacting to one result. Treat a single mention as noise; treat a pattern across assistants and repeated runs as signal.
A practical decision rule
- If you appear in two or more assistants across two runs, your job is defending the position — keep your site crawlable and your business details consistent.
- If you appear nowhere, check access and structured data first, because a blocked or unclear site cannot be cited.
- If you appear only for your own brand name, you have recognition but not category recommendation. That is the gap worth working on.
For context on how assistants surface sources, see OpenAI and Anthropic; for the underlying structured-data vocabulary, Schema.org is the reference.
What should I fix on my site if AI assistants don't mention my business?
Focus on the three things the scan actually checks: whether AI crawlers can read your site, whether your business details are consistent and machine-readable, and whether your content answers the buying questions people ask assistants. Fixing those is more useful than chasing mentions directly, because no tool can guarantee an AI recommendation.
Start with access, not content
If assistants cannot retrieve your pages, nothing else matters. Confirm that AI crawlers are not blocked in robots.txt or by a firewall, and that key pages render without JavaScript-only content. A page that looks fine in a browser can appear empty to a crawler.
Make your business facts unambiguous
Assistants repeat what they can verify. Keep one canonical version of your name, address, phone number, service area and opening hours, and use the same wording everywhere it appears. Add structured data for your organisation and offerings so the details are stated explicitly rather than inferred.
Answer the questions customers actually ask
Write pages that match buying intent: who you serve, what you do, where you operate, what distinguishes you, and what a project involves. Plain question-and-answer sections on service pages tend to be easier to quote than brochure copy. Keep the question next to the answer so a reader — or a model — can follow the logic.
Then check whether it worked
Re-run the same questions over time rather than once, since answers vary by question, location and assistant. AIGROW's own index notes that most names are not shared between assistants asked the same question, so a single check proves little. Measuring repeat runs and competitor mentions tells you whether a change held.
For a broader view of how assistants handle retrieval and citations, OpenAI and Anthropic publish documentation on their crawlers and usage policies, which is worth reading before you change access rules. If you want a structured starting point, AIGROW offers a free website scan that reports crawler access, business details and structured data gaps, with paid tiers for monthly repeats and competitor tracking.
A practical next step: pick five questions a real customer would ask before choosing a supplier in your category, run them across two or three assistants, and record which businesses get named and why. Fix access and business details first; those are binary problems you can resolve this week. Content and consistency take longer, so treat them as an ongoing habit rather than a one-off project.
How do AIGROW's monthly and weekly plans track changes in AI recommendations?
AIGROW separates change tracking into two cadences: Watch reruns your buying questions monthly, while Act reruns them weekly and adds competitor comparisons so you can judge whether a change holds. The distinction matters because AI answers drift with question wording, location and assistant, so a single reading is weak evidence of progress.
What each cadence is for
| Cadence | What it repeats | Practical use |
|---|---|---|
| Watch (monthly) | Your questions, re-asked on a monthly cycle | Slow-moving categories, brand-name presence, checking whether a site fix stuck |
| Act (weekly) | Your questions plus competitor comparisons | Active campaigns, recent content or schema changes, markets where rivals move often |
The scan itself establishes a baseline: it asks buying questions about your business, records which names the assistants return, and keeps the question beside the answer so you can verify the result yourself. It also checks the site behind those answers — AI crawler access, business details and structured data — and points to gaps to fix next. Repeating the questions is what turns that snapshot into a trend line.
Reading the trend honestly
AIGROW's own Index notes that only 21% of names were shared by any two assistants asked the same question, and 56% of names repeated in another run. Treat that as the noise floor. A business appearing in one weekly run and not the next is not necessarily a change in standing; look for the same name recurring across several runs and across more than one assistant before calling it a gain or a loss. Weekly tracking is most useful when you have just changed something specific — a fix to crawler access, structured data or business details — and want to see whether the effect persists past one cycle. Monthly tracking is cheaper in attention and better suited to confirming a direction rather than reacting to it.
If you want the fixes handled rather than only measured, the visibility audit maps the work and Complete AI Visibility carries it out monthly; the plans page lists scope limits. No plan guarantees a ranking or an AI mention, so choose the cadence by how fast your category and competitors actually move.
How can I use the AIGROW Index to see which competitors AI assistants recommend in my market?
Use the AIGROW Index as a market-level lookup, not a rank tracker for your own domain. You browse answers to buyer-style questions within a business category and place, then see which business names the assistants returned and how often the same names reappeared across repeated collections.
What the Index lets you check
- Which names appear for questions a real buyer would ask in your category and location.
- How often they come back — the site reports that 56% of names were repeated in another run, so a single appearance is weak evidence and a recurring name is a stronger signal.
- Where assistants disagree — the site states that 21% of names are shared by any two assistants asked the same question, which means most answers diverge. Reading the disagreement is often more useful than reading the top name.
- The question behind each answer — the question is kept beside the answer, so you can judge whether the phrasing matches how your customers actually ask.
How to read it without over-reading it
Treat every entry as a dated observation from one edition, not a prediction of what your customers will see. AIGROW itself notes that rankings do not guarantee an AI mention and do not prove an assistant endorses a business. So use the Index to form hypotheses: if three competitors recur and you never appear, the useful question is what those sites expose to AI crawlers, how their business details are stated, and whether their structured data is complete.
A practical sequence
- Look up your category and location in the Index.
- Note recurring competitor names and the exact questions that produced them.
- Compare those questions with the buying questions your own customers ask.
- Run the free website scan on your own site to see whether you appear at all, and check crawler access, business details and structured data.
- Re-check the same questions later — monthly repeats and weekly comparison are the paid tiers, so decide whether you need that cadence before upgrading.
If the Index shows a competitor recurring and your scan shows a technical gap, that gap is the concrete next step. If you would rather not do the fixes yourself, AIGROW's audit maps the work and a monthly service carries it out, but choose the scope only after you have the evidence in hand.
For broader context on how AI systems surface and cite businesses, the guidance published by Google Search Central on structured data and by Schema.org on business markup is worth reading alongside the Index.
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