Faceted navigation and crawl budget, in plain English
Filters can generate hundreds of thousands of near-identical URLs. On a large catalogue that quietly starves the pages you care about.
Mindflow Marketing gets eCommerce companies found on Google and named by the engines buyers now ask first: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity and Gemini. Founder-led, served from Atlanta, with published pricing and a method you can read first.
87
AI mentions across 72 cited pages, earned for one published client
3 of 4
major assistants naming that client in Athens, where it ranks second in the map pack
$3,500
monthly starting rate, published, no annual contract
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FOUNDER-LED
Founded by Youssef Hodaigui, twenty-five years in search, who runs every engagement personally.
ONE OFFICE, IN ATLANTA
The office is in Atlanta and that is the only one we hold. Your catalogue can sit anywhere; the work is served from there.
PRICING IN PUBLIC
Every rate is on the pricing page. No quote call to learn what this costs.
ONE PER CATEGORY
One company per metro in each service category. Your competitor cannot buy the same seat.
- Filter combinations can multiply into tens of thousands of near-identical URLs.
- Crawler time spent on filter noise is time not spent on your real pages.
- Decide which facets deserve indexing, canonical the rest, block the parameters.
- Every indexable facet is a page someone has to keep good.
Here is the short version. A filter menu generates far more addresses than you meant to publish, and a crawler works through them.
What is AI visibility, and how is it different from SEO?
AI visibility, also called answer engine optimization or AEO, is the practice of getting a business named inside AI-generated answers. SEO earns a ranked link a buyer clicks. AEO earns a mention inside the answer itself, in Google AI Overviews, Google AI Mode, ChatGPT, Perplexity or Gemini, where no click may ever happen.
The two run on overlapping machinery. Google states that its generative features are rooted in its core Search ranking and quality systems, so a page has to be indexed and eligible before it can be quoted. Classic SEO is the floor.
Above that floor the work changes. An assistant picks which retailers to name from how clearly your company is defined as an entity, how consistently the web describes it, and whether a page answers in a passage it can lift.
Nobody can force a recommendation. We build the entity footprint, citable pages and review base assistants draw on, then score twelve frozen buying questions across three platforms each quarter, screenshots archived and dated.
How does a filter menu turn into hundreds of thousands of URLs?
Every filter combination can produce a distinct URL. Colour, size, price band, brand, sort order.
| Condition | What it is | Source |
|---|---|---|
| Combination growth | Five filters with a few options each multiply into tens of thousands of addresses, most of them showing nearly the same products. | Mindflow observation, not a published source |
| Crawl allocation | Crawlers follow them. Time spent on filter permutations is time not spent on your category and product pages. | Mindflow observation, not a published source |
| Discovery lag | A crawler working through filter noise finds your real pages more slowly, and updates take longer to register. | Mindflow observation, not a published source |
| Signal spread | It also dilutes signals across near-duplicates rather than consolidating them onto the page you want ranked. | Mindflow observation, not a published source |
What we read from that, and this part is our judgement rather than anything the sources state: on a big catalogue the filter menu is usually the largest draw on crawler attention. No row above says that.
There is no outside statistic in that table. We could not trace the ones in circulation to a primary source with a stated publisher, year and sample, so they are absent instead of estimated.
Sources: no outside publisher is cited anywhere in this article. Every row above is a Mindflow observation. Checked 2026-08-04.
Why does this matter more than it used to?
For a catalogue that changes often, that lag is the whole problem. What a search engine shows is what its crawler last reached.
It reaches the assistants too. Google, Google AI Overviews, Google AI Mode, ChatGPT, Perplexity and Gemini each need a page they can fetch first.
What are the usual fixes, and in what order?
Decide which facets deserve indexable pages. A small number usually do, where people search that way. The rest should not exist as crawlable URLs.
Canonical the rest to the clean category URL.
Block the parameters you never want crawled. Sort order and pagination-only parameters are the obvious candidates.
Keep internal links pointing at clean URLs so you are not advertising the noise yourself.
What should you check on your own site?
Search your domain in Google and compare the indexed count to the number of pages you meant to publish. A count several times larger is the tell.
Then look at what is indexed. If filter combinations appear, they are competing with the pages you wanted.
I would write both numbers down before anyone touches robots.txt.
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What is the trade nobody mentions?
Every facet you make indexable is a page you have to keep good. Making thirty filter combinations crawlable creates thirty thin pages unless someone writes for them.
The default answer for most catalogues is fewer indexable facets than the platform offers by default.
“The default answer for most catalogues is fewer indexable facets than the platform offers.”
What does Mindflow Marketing actually do about it?
Five pillars run inside one engagement: local SEO and Google Maps, organic search, AI visibility, reputation and brand SERP, conversion tracking. Each is reported with the denominator beside the number, so a figure can be checked instead of believed.
Local SEO and Google Maps
Google Business Profile work and map-grid tracking, for retailers who also sell from a shop. A grid tells you whether you lose on trust signals or on distance. Different fixes.
Organic search
Technical foundations, architecture and the searches that turn into orders. Crawl budget, faceted URLs, canonical rules and the category pages the menu buried sit here.
AI visibility and entity work
Entity disambiguation, organisation schema, knowledge-graph alignment and passages an assistant can lift whole. This decides whether ChatGPT, Perplexity or Google AI Overviews name your shop.
Reputation and brand SERP
What a buyer and an assistant see when they search your name. For a catalogue selling at a distance, that page is the showroom.
Conversion tracking
Sessions and add-to-carts tracked through to the order. Visibility that never reaches an order still costs the months it took to build.
Measurement you can audit
Share of Answer across twelve frozen buying questions, three platforms, three runs each, scored out of twelve with screenshots archived and dated.
Rankings are never guaranteed. Anything we could not trace to a primary source is absent from this page, not estimated. The audit runs the same six layers described on the pricing page, and Share of Answer is scored quarterly.
How the first 90 days work
Every engagement opens with a diagnostic. The first 90 days set a baseline you can hold us to, and put the first measured movement on the record.
- Free Visibility Check. Twelve real buying questions for your category, asked across Google Maps, Google and the assistants. You get the screenshots, no call required.
- Local Visibility Audit. Crawlability and indexation, faceted URL sprawl, entity and schema state, review base, competitive gap. Delivered written, working shown.
- Baseline measurement. Share of Answer scored before any work begins, so the starting number is in writing and cannot be revised later.
- Foundations, weeks 1 to 6. Technical fixes, canonical and parameter rules, entity and organisation schema, and the category pages buyers search for.
- Authority and content, weeks 4 to 12. Citable pages, review systems, and the off-site corroboration assistants use to judge whether a shop is real.
- First remeasurement. The same twelve questions, same conditions, scored against the baseline. Movement or no movement, both go in the report.
What has Mindflow Marketing actually published?
Two clients have given written permission to publish their numbers. Precision Fenceworks is a fence company working four Georgia markets, verified live 2026-06-16. Fireside Antiques is an eCommerce antiques dealer in Baton Rouge, Louisiana, with Search Console and Ahrefs data pulled 2026-06-10.
Fireside Antiques is the eCommerce record, so it is the one this article sits beside. Precision Fenceworks is a fence company and not an online retailer. One catalogue is not a pattern.
In Athens, where it ranks second in the map pack and third organic, Precision Fenceworks is recommended by three of the four major AI assistants, with Perplexity giving them as its first pick. First organic in Alpharetta and third in the map pack, beaten there on distance and not on trust signals.
Page one organic in Lawrenceville with zero map presence. 87 AI mentions across 72 cited pages, and 631 Precision Fenceworks reviews at a 4.9 average.
In Atlanta the same client has no reachable map presence against 100,000-plus impressions in sixteen months. Their pin sits in Alpharetta, proximity decides the Google map pack, and no page moves a building.
Five of eight tracked core terms ranking strong, with dining tables, armoires, mirrors and coffee tables all recovered to first position after a ranking dip.
A national eCommerce catalogue and not a local service business. It is the closest published record to the work this article describes, and it is still one client.
Neither record measures crawl budget, and I am not going to offer a recovered ranking as evidence about robots.txt. What transfers is the method: the audit, the frozen questions, the stated denominators, the work ledger.
What we cannot show either: revenue, lead volume and job values. Neither client’s permission covers it. So we cannot tell you whether this visibility became money, and we would rather say that than let a chart imply it.
Two clients is not a large portfolio and we are not going to present it as one.
Read the full fencing recordRead the eCommerce record
What does this cost, and where do you start?
A Visibility Check is free. A Local Visibility Audit is $3,500 to $7,500 and credits against your first invoice if you start a monthly partnership within 30 calendar days of delivery. The monthly partnership starts at $3,500 a month on a 90-day initial term, then runs month to month. No setup fee and no annual contract.
The credit caps at that first invoice and does not carry forward. At the bottom of the range a $3,500 audit against a $3,500 first month costs you nothing if you continue. At the top, a $7,500 audit against a $3,500 first month credits $3,500 and the remainder is spent.
We would rather you ran that sum at your own desk than found it on an invoice.
The full ladder, with what sits inside each tier, is on the pricing page.
One company per metro in each service category. If an online retailer in your category signs first in your metro, we turn down every other retailer in that category there for the life of that engagement, including better-funded ones.
Start with the free checkSee the published pricing
Who is this written for, and where does Mindflow Marketing work?
Established catalogues: a few thousand SKUs and up, a platform-generated filter menu, and somebody who suspects the indexed count is wrong.
We work from Atlanta and serve clients across Georgia, Florida, Texas, Tennessee, North Carolina and South Carolina, in home services, healthcare, legal, eCommerce and B2B SaaS. A catalogue can sit anywhere; the work is served from there.
More reading: eCommerce, product pages in AI answers, semantic product architecture, and the wider industries and markets pages.
