# A Plain-HTML Reviews Page Became the Model's Source
URL: https://www.getrankonmap.com/blog/better-context-made-ai-cite-the-page
Published: 2026-11-04
Publishing a business's reviews as plain text on its own website can turn that
page into the source AI assistants use when asked what customers think. As of
September 2026 assistants often can't see a full set of Google reviews, and
they fall back on directories and whatever the homepage shows. On **2 August
2026** a practitioner told r/localseo that ChatGPT and Gemini weren't giving
proper answers about what customers said of one of their clients. They pulled
the reviews through the Business Profile API into a static HTML testimonials
page. Afterwards, both assistants use that page to find relevant reviews and answer with better context. It's one practitioner's report, and
there's one catch in how they built it.
> now, when i ask chatgpt or gemini about customer experiences with different
> treatments or use different related keywords, they use this page to find the
> relevant reviews and answer with better context.
>
> — r/localseo, August 2026
```
BEFORE AFTER
ChatGPT: directories, third-party ChatGPT and Gemini: the new
review sites, homepage with ~4–5 testimonials page, answering by
testimonials treatment and related terms
Gemini: Google Maps, but the same
~4–5 reviews
──────────────────────────────────────────────────────────────────
the change: every review in plain HTML on one first-party page
```
## The Assistants Had Too Little to Work With
The poster's diagnosis was simple: the assistants "didn't have access to all
my reviews in google business profile". ChatGPT leaned on directories and
third-party review sites. Gemini seemed to pull from Google Maps but kept
returning the same handful of reviews. Another practitioner described the same
limit in April 2026. A gym with 100 Google reviews got answers built from
other sources, or from reviews that seemed out of date.
Our own archive fits this. In 114 recorded ChatGPT answers to local SEO and
Business Profile questions, only **46%** cited any google.com page. For Google's
own AI Overviews it was **94%** of 524. ChatGPT, in particular, relies on
other pages.
## Plain HTML Was the Point
The poster made sure the review text was "available directly in the html",
not loaded by a widget after the page opens. That matters because an
assistant's retrieval needs text it can read. A testimonials carousel filled in
by a third-party script can leave the page close to empty for whatever fetches
it.
The result, in the poster's words, was answers about "customer experiences with
different treatments" drawn from the page. The page turned a pile of reviews
into something the assistant could search by topic.
## First-Party Pages Are the Part a Business Controls
Most of what an assistant reads about a local business sits on other people's
sites: directories, review platforms, forums, food and trade blogs. The
business can influence those, slowly. Its own site it controls completely, and
the same week. That's why this case is worth attention even as a single report.
It moved the one input the business owns. The page didn't invent anything. It
took text that already existed on the profile and put it where an assistant
could read and search it.
The poster's own conclusion was that part of AI visibility is "simply
preparing your first-party information in a format" the systems can use.
## The Catch: Only Four and Five Stars
The poster called it "a clever trick" that the page showed reviews "rated above
four stars only". That's the part to question. A page that shows only the best
reviews gives the assistant a curated picture and presents it as what customers
say. It may work for a while. But the answers will then disagree with the full
review set on Google. A prospect who checks, and prospects do check the worst
review on purpose, sees the gap.
We'd publish all reviews, or a clearly labelled recent sample. Replies to the
critical ones do more for a prospect than hiding them.
## One Report, Worth Testing
This is a single practitioner's before-and-after, with no dates, no run counts
and no named client. It fits how retrieval works, and it's cheap to test. Run
the same customer questions several times before the page goes live and again
after, and count how often the assistant cites it.
## Building a Reviews Page Assistants Can Use
1. **Put every review, or a labelled recent sample, in the HTML**, with
date, rating and text. No script-only widgets.
2. **Group or tag by service or treatment**, so questions about one service
find the right reviews.
3. **Include your replies to critical reviews.** See
[no one has measured the ROI of review replies yet](/blog/roi-of-responding-to-reviews).
4. **Check the terms** for how you may display reviews pulled from the Business
Profile, before you publish.
5. **Measure it with a fixed question set before and after.** For why assistants
favour well-described competitors, see
[AI can't see your regulars](/blog/why-ai-recommends-a-competitor), and for
the starting point,
[local businesses invisible to ChatGPT](/blog/local-businesses-invisible-to-chatgpt).
## Sources
**Our own data.** Collected for this page and not published elsewhere.
- **Google-page citation share**: recorded AI answers to local SEO and Business
Profile questions (US, English) from the DataForSEO AI-optimisation archive
pulled 20 September 2026. ChatGPT: 52 of 114 cited a google.com page (46%).
Google AI Overviews: 495 of 524 (94%). Counted 21 September 2026.
**Cited externally.** Accessed September 2026.
| source | what it supports |
|---|---|
| [r/localseo, 2 August 2026](https://www.reddit.com/r/localseo/comments/1vdmkdp/i_gave_chatgpt_and_gemini_better_context_about/) — better review context, and AI started citing the page | the case; before and after; GBP API to static HTML; 4+ stars only; quoted phrases |
| [r/GoogleMyBusiness, 21 April 2026](https://www.reddit.com/r/GoogleMyBusiness/comments/1srfcxn/how_to_connect_google_maps_to_ai/) | assistants not reading live Maps reviews |
| [r/localseo, 6 August 2026](https://www.reddit.com/r/localseo/comments/1vgzj91/i_read_a_lot_of_uae_google_listings_and_the/) | prospects look for the worst review on purpose |